{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T03:28:06Z","timestamp":1773804486293,"version":"3.50.1"},"reference-count":185,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>A significant part of the current research in the field of Artificial Intelligence is devoted to knowledge bases. New techniques and methodologies are emerging every day for the storage, maintenance and reasoning over knowledge bases. Recently, the most common way of representing knowledge bases is by means of graph structures. More specifically, according to the Semantic Web perspective, many knowledge sources are in the form of a graph adopting the Resource Description Framework model. At the same time, graphs have also started to gain momentum as a model for databases. Graph DBMSs, such as Neo4j, adopt the Labeled Property Graph model. Many works tried to merge these two perspectives. In this paper, we will overview different proposals aimed at combining these two aspects, especially focusing on possibility for them to add reasoning capabilities. In doing this, we will show current trends, issues and possible solutions. In this context, we will describe our proposal and its novelties with respect to the current state of the art, highlighting its current status, potential, the methodology, and our prospect.<\/jats:p>","DOI":"10.3390\/info14030154","type":"journal-article","created":{"date-parts":[[2023,3,2]],"date-time":"2023-03-02T01:39:21Z","timestamp":1677721161000},"page":"154","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["LPG-Based Knowledge Graphs: A Survey, a Proposal and Current Trends"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8081-3292","authenticated-orcid":false,"given":"Davide","family":"Di Pierro","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Bari Aldo Moro, 70125 Bari, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1118-0601","authenticated-orcid":false,"given":"Stefano","family":"Ferilli","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Bari Aldo Moro, 70125 Bari, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2196-7598","authenticated-orcid":false,"given":"Domenico","family":"Redavid","sequence":"additional","affiliation":[{"name":"Department of Economic and Finance, University of Bari Aldo Moro, 70124 Bari, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/48.551","article-title":"Artificial intelligence-definition and practice","volume":"13","author":"Simmons","year":"1988","journal-title":"IEEE J. Ocean. Eng."},{"key":"ref_2","unstructured":"Rich, E. (1983). Artificial Intelligence, McGraw-Hill, Inc."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Dick, S. (2019). Artificial intelligence. Harv. Data Sci. Rev.","DOI":"10.1162\/99608f92.92fe150c"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1308\/147870804290","article-title":"Artificial intelligence in medicine","volume":"86","author":"Holmes","year":"2004","journal-title":"Ann. R. Coll. Surg. Engl."},{"key":"ref_5","unstructured":"Newell, A., Shaw, J., and Simon, H. (1959, January 15\u201320). Report on a general problem solving program. Proceedings of the IFIP Congress, Pittsburgh, PA, USA."},{"key":"ref_6","unstructured":"Shortliffe, E. (2012). Computer-Based Medical Consultations: MYCIN, Elsevier."},{"key":"ref_7","first-page":"99","article-title":"Qasyo: A question answering system for yago ontology","volume":"4","author":"Moussa","year":"2011","journal-title":"Int. J. Database Theory Appl."},{"key":"ref_8","unstructured":"Fu, B., Qiu, Y., Tang, C., Li, Y., Yu, H., and Sun, J. (2020). A survey on complex question answering over knowledge base: Recent advances and challenges. arXiv."},{"key":"ref_9","unstructured":"Stokman, F., and Vries, P. (1988). Human-Computer Interaction, Springer."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Bordes, A., Weston, J., Collobert, R., and Bengio, Y. (2011, January 7\u201311). Learning structured embeddings of knowledge bases. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, San Francisco, CA, USA.","DOI":"10.1609\/aaai.v25i1.7917"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1109\/TNNLS.2021.3070843","article-title":"A survey on knowledge graphs: Representation, acquisition, and applications","volume":"33","author":"Ji","year":"2021","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1006\/knac.1993.1008","article-title":"A translation approach to portable ontology specifications","volume":"5","author":"Gruber","year":"1993","journal-title":"Knowl. Acquis."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1322432.1322433","article-title":"Survey of graph database models","volume":"40","author":"Angles","year":"2008","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1090\/S0002-9904-1947-08785-1","article-title":"Some remarks on the theory of graphs","volume":"53","year":"1947","journal-title":"Bull. Am. Math. Soc."},{"key":"ref_15","unstructured":"W3C (2023, January 20). RDF Primer. Available online: https:\/\/www.w3.org\/TR\/rdf-primer\/."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Uif\u0103lean, S., Ghiran, A., and Buchmann, R.A. (September, January 31). From BPMN Models to Labelled Property Graphs. Proceedings of the 30th International Conference on Information Systems Development (ISD2022), CLUJ-Napoca, Romania.","DOI":"10.62036\/ISD.2022.17"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Anikin, D., Borisenko, O., and Nedumov, Y. (2019, January 13\u201314). Labeled property graphs: SQL or NoSQL?. Proceedings of the 2019 Ivannikov Memorial Workshop (IVMEM), Velikiy Novgorod, Russia.","DOI":"10.1109\/IVMEM.2019.00007"},{"key":"ref_18","unstructured":"Raj, S. (2015). Neo4j High Performance, Packt Publishing Ltd."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3177850","article-title":"RDF data storage and query processing schemes: A survey","volume":"51","author":"Wylot","year":"2018","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"ref_20","unstructured":"Berge, C. (2001). The Theory of Graphs, Courier Corporation."},{"key":"ref_21","unstructured":"Han, J., Haihong, E., Le, G., and Du, J. (2011, January 25\u201329). Survey on NoSQL database. Proceedings of the 2011 6th International Conference on Pervasive Computing and Applications, Port Elizabeth, South Africa."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3447772","article-title":"Knowledge graphs","volume":"54","author":"Hogan","year":"2021","journal-title":"ACM Comput. Surv."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Pareja-Tobes, P., Tobes, R., Manrique, M., Pareja, E., and Pareja-Tobes, E. (2015). Bio4j: A high-performance cloud-enabled graph-based data platform. bioRxiv, 016758.","DOI":"10.1101\/016758"},{"key":"ref_24","unstructured":"Miller, J. (2013, January 24\u201325). Graph database applications and concepts with Neo4j. Proceedings of the Southern Association for Information Systems Conference, Atlanta, GA, USA."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Huang, Z., Chung, W., Ong, T., and Chen, H. (2002, January 14\u201318). A graph-based recommender system for digital library. Proceedings of the 2nd ACM\/IEEE-CS Joint Conference on Digital Libraries, Portland, OR, USA.","DOI":"10.1145\/544220.544231"},{"key":"ref_26","unstructured":"Robinson, I., Webber, J., Webber, J., and Eifrem, E. (2013). Graph Databases, O\u2019Reilly."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1145\/234313.234360","article-title":"Data models","volume":"28","author":"Silberschatz","year":"1996","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Codd, E. (1980, January 23). Data models in database management. Proceedings of the 1980 Workshop on Data Abstraction, Databases and Conceptual Modeling, Colorado, CO, USA.","DOI":"10.1145\/800227.806891"},{"key":"ref_29","unstructured":"Han, J., Pei, J., and Tong, H. (2022). Data Mining: Concepts and Techniques, Morgan Kaufmann."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1109\/69.390249","article-title":"G-Log: A graph-based query language","volume":"7","author":"Paredaens","year":"1995","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1016\/j.procs.2017.05.456","article-title":"Integrity constraints in graph databases","volume":"109","author":"Valenta","year":"2017","journal-title":"Procedia Comput. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Buneman, P., Davidson, S., Hillebrand, G., and Suciu, D. (1996, January 4\u20136). A query language and optimization techniques for unstructured data. Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, Montreal, QC, Canada.","DOI":"10.1145\/233269.233368"},{"key":"ref_33","first-page":"12","article-title":"GraphDB: Modeling and querying graphs in databases","volume":"Volume 94","year":"1994","journal-title":"VLDB"},{"key":"ref_34","unstructured":"Kaliyar, R.K. (2015, January 15\u201316). Graph databases: A survey. Proceedings of the International Conference on Computing, Communication & Automation, Greater Noida, India."},{"key":"ref_35","unstructured":"Codd, E. (2002). Software Pioneers, Springer."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Abiteboul, S. (1997, January 8\u201310). Querying semi-structured data. Proceedings of the International Conference on Database Theory, Delphi, Greece.","DOI":"10.1007\/3-540-62222-5_33"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Francis, N., Green, A., Guagliardo, P., Libkin, L., Lindaaker, T., Marsault, V., Plantikow, S., Rydberg, M., Selmer, P., and Taylor, A. (2018, January 10\u201315). Cypher: An evolving query language for property graphs. Proceedings of the 2018 International Conference on Management of Data, Houston, TX, USA.","DOI":"10.1145\/3183713.3190657"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Dong, X., Gabrilovich, E., Heitz, G., Horn, W., Lao, N., Murphy, K., Strohmann, T., Sun, S., and Zhang, W. (2014, January 24\u201327). Knowledge vault: A web-scale approach to probabilistic knowledge fusion. Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA.","DOI":"10.1145\/2623330.2623623"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1109\/JPROC.2015.2483592","article-title":"A review of relational machine learning for knowledge graphs","volume":"104","author":"Nickel","year":"2015","journal-title":"Proc. IEEE"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2724","DOI":"10.1109\/TKDE.2017.2754499","article-title":"Knowledge graph embedding: A survey of approaches and applications","volume":"29","author":"Wang","year":"2017","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1145\/3418294","article-title":"Knowledge graphs","volume":"64","author":"Gutierrez","year":"2021","journal-title":"Commun. ACM"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"103076","DOI":"10.1016\/j.jnca.2021.103076","article-title":"Domain-specific knowledge graphs: A survey","volume":"185","year":"2021","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s11704-016-5228-9","article-title":"A retrospective of knowledge graphs","volume":"12","author":"Yan","year":"2018","journal-title":"Front. Comput. Sci."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1145\/3329781.3332266","article-title":"Industry-scale Knowledge Graphs: Lessons and Challenges: Five diverse technology companies show how it\u2019s done","volume":"17","author":"Noy","year":"2019","journal-title":"Queue"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Bollacker, K., Evans, C., Paritosh, P., Sturge, T., and Taylor, J. (2008, January 9\u201312). Freebase: A collaboratively created graph database for structuring human knowledge. Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, Vancouver, BC, Canada.","DOI":"10.1145\/1376616.1376746"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"167","DOI":"10.3233\/SW-140134","article-title":"Dbpedia\u2014A large-scale, multilingual knowledge base extracted from wikipedia","volume":"6","author":"Lehmann","year":"2015","journal-title":"Semant. Web"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Suchanek, F.M., Kasneci, G., and Weikum, G. (2007, January 8\u201312). Yago: A core of semantic knowledge. Proceedings of the 16th International Conference on World Wide Web, Banff, AB, Canada.","DOI":"10.1145\/1242572.1242667"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Fensel, D., \u015eim\u015fek, U., Angele, K., Huaman, E., K\u00e4rle, E., Panasiuk, O., Toma, I., Umbrich, J., and Wahler, A. (2020). Knowledge Graphs, Springer.","DOI":"10.1007\/978-3-030-37439-6"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Hruschka, E., and Mitchell, T. (2010, January 11\u201315). Toward an architecture for never-ending language learning. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, Atlanta, GA, USA.","DOI":"10.1609\/aaai.v24i1.7519"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Heck, L., Hakkani-T\u00fcr, D., and Tur, G. (2013, January 25\u201329). Leveraging knowledge graphs for web-scale unsupervised semantic parsing. Proceedings of the INTERSPEECH, Lyon, France.","DOI":"10.21437\/Interspeech.2013-401"},{"key":"ref_51","unstructured":"Damljanovic, D., and Bontcheva, K. (2012, January 27\u201331). Named entity disambiguation using linked data. Proceedings of the 9th Extended Semantic Web Conference, Heraklion, Greece."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Zheng, Z., Si, X., Li, F., Chang, E.Y., and Zhu, X. (2012, January 4\u20137). Entity disambiguation with freebase. Proceedings of the 2012 IEEE\/WIC\/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, Washington, DC, USA.","DOI":"10.1109\/WI-IAT.2012.26"},{"key":"ref_53","unstructured":"Hoffmann, R., Zhang, C., Ling, X., Zettlemoyer, L., and Weld, D. (2011, January 19\u201324). Knowledge-based weak supervision for information extraction of overlapping relations. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Portland, OR, USA."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Daiber, J., Jakob, M., Hokamp, C., and Mendes, P. (2013, January 4). Improving efficiency and accuracy in multilingual entity extraction. Proceedings of the 9th International Conference on Semantic Systems, New York, NY, USA.","DOI":"10.1145\/2506182.2506198"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Bordes, A., Weston, J., and Usunier, N. (2014, January 15\u201319). Open question answering with weakly supervised embedding models. Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Nancy, France.","DOI":"10.1007\/978-3-662-44848-9_11"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"112948","DOI":"10.1016\/j.eswa.2019.112948","article-title":"A review: Knowledge reasoning over knowledge graph","volume":"141","author":"Chen","year":"2020","journal-title":"Expert Syst. Appl."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1016\/S0020-7373(76)80027-2","article-title":"Foundations of fuzzy reasoning","volume":"8","author":"Gaines","year":"1976","journal-title":"Int. J. Man-Mach. Stud."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1038\/scientificamerican0501-34","article-title":"The semantic web","volume":"284","author":"Hendler","year":"2001","journal-title":"Sci. Am."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1145\/3397512","article-title":"A review of the semantic web field","volume":"64","author":"Hitzler","year":"2021","journal-title":"Commun. ACM"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1007\/s10618-012-0253-2","article-title":"Mining the semantic web","volume":"24","author":"Rettinger","year":"2012","journal-title":"Data Min. Knowl. Discov."},{"key":"ref_61","unstructured":"Smith, B. (2012). The Furniture of the World, Brill."},{"key":"ref_62","unstructured":"Guarino, N. (1998). Formal Ontology in Information Systems: Proceedings of the First International Conference (FOIS\u201998), 6\u20138 June 1998, Trento, Italy, IOS Press."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1021","DOI":"10.1108\/OIR-07-2018-0210","article-title":"The Tower of Babel problem: Making data make sense with Basic Formal Ontology","volume":"43","author":"Iliadis","year":"2019","journal-title":"Online Inf. Rev."},{"key":"ref_64","first-page":"123","article-title":"OWL 2 web ontology language primer","volume":"27","author":"Hitzler","year":"2009","journal-title":"W3C Recomm."},{"key":"ref_65","unstructured":"Zou, Y., Finin, T., and Chen, H. (2004). International Workshop on Formal Approaches to Agent-Based Systems, Springer."},{"key":"ref_66","unstructured":"Baader, F., Calvanese, D., McGuinness, D., Patel-Schneider, P., and Nardi, D. (2003). The Description Logic Handbook: Theory, Implementation and Applications, Cambridge University Press."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1109\/4236.877487","article-title":"The semantic web: The roles of XML and RDF","volume":"4","author":"Decker","year":"2000","journal-title":"IEEE Internet Comput."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1093\/bioinformatics\/17.2.115","article-title":"XML, bioinformatics and data integration","volume":"17","author":"Achard","year":"2001","journal-title":"Bioinformatics"},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Papakonstantinou, Y., and Vianu, V. (2000, January 15\u201318). DTD inference for views of XML data. Proceedings of the Nineteenth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, Dallas, TX, USA.","DOI":"10.1145\/335168.335173"},{"key":"ref_70","unstructured":"W3C (2023, January 20). RDF 11 Primer. Available online: https:\/\/www.w3.org\/TR\/rdf11-primer\/."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1109\/4236.895018","article-title":"Framework for the semantic Web: An RDF tutorial","volume":"4","author":"Decker","year":"2000","journal-title":"IEEE Internet Comput."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1620585.1620589","article-title":"Semantics and complexity of SPARQL","volume":"34","author":"Arenas","year":"2009","journal-title":"ACM Trans. Database Syst. (TODS)"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Grobe, M. (2009, January 11\u201314). Rdf, jena, sparql and the \u2018semantic web\u2019. Proceedings of the 37th Annual ACM SIGUCCS Fall Conference: Communication and Collaboration, St. Louis, MO, USA.","DOI":"10.1145\/1629501.1629525"},{"key":"ref_74","unstructured":"Erling, O., and Mikhailov, I. (2009). Networked Knowledge-Networked Media, Springer."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.jvlc.2018.03.002","article-title":"Performance assessment of RDF graph databases for smart city services","volume":"45","author":"Bellini","year":"2018","journal-title":"J. Vis. Lang. Comput."},{"key":"ref_76","unstructured":"Baken, N. (2020, January 17\u201319). Linked data for smart homes: Comparing RDF and labeled property graphs. Proceedings of the LDAC2020\u20148th Linked Data in Architecture and Construction Workshop, Online."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Holten, D., and Wijk, J.J.V. (2009, January 4\u20139). A user study on visualizing directed edges in graphs. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Boston, MA, USA.","DOI":"10.1145\/1518701.1519054"},{"key":"ref_78","unstructured":"Technologies, O.S. (2023, January 20). What Is a Labeled Property Graph?. Available online: https:\/\/www.oxfordsemantic.tech\/fundamentals\/what-is-a-labeled-property-graph#:~:text=A%20labeled%20property%20graph%20(LPG,corresponding%20key%20to%20allow%20referencing."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1002\/sam.11153","article-title":"Effective graph classification based on topological and label attributes","volume":"5","author":"Li","year":"2012","journal-title":"Stat. Anal. Data Mining Asa Data Sci. J."},{"key":"ref_80","unstructured":"Jaffri, A., Glaser, H., and Millard, I. (2007). OTM Confederated International Conferences \u201cOn the Move to Meaningful Internet Systems\", Springer."},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Xing, W., and Ghorbani, A. (2004, January 21). Weighted pagerank algorithm. Proceedings of the Second Annual Conference on Communication Networks and Services Research, Fredericton, NB, Canada.","DOI":"10.1109\/DNSR.2004.1344743"},{"key":"ref_82","unstructured":"Deng, H., Lyu, M., and King, I. (July, January 28). A generalized co-hits algorithm and its application to bipartite graphs. Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1109\/JAS.2020.1003477","article-title":"Parametric transformation of timed weighted marked graphs: Applications in optimal resource allocation","volume":"8","author":"He","year":"2020","journal-title":"IEEE\/CAA J. Autom. Sin."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"922","DOI":"10.1017\/S0956792517000122","article-title":"On the game p-Laplacian on weighted graphs with applications in image processing and data clustering","volume":"28","author":"Elmoataz","year":"2017","journal-title":"Eur. J. Appl. Math."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"giy014","DOI":"10.1093\/gigascience\/giy014","article-title":"Bipartite graphs in systems biology and medicine: A survey of methods and applications","volume":"7","author":"Pavlopoulos","year":"2018","journal-title":"GigaScience"},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Chan, T.M. (2007, January 11\u201313). More algorithms for all-pairs shortest paths in weighted graphs. Proceedings of the Thirty-Ninth Annual ACM Symposium on Theory of Computing, San Diego, CA, USA.","DOI":"10.1145\/1250790.1250877"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1007\/BF02189308","article-title":"On sparse spanners of weighted graphs","volume":"9","author":"Das","year":"1993","journal-title":"Discret. Comput. Geom."},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Asamoah, C., Tao, L., Gai, K., and Jiang, N. (2016, January 25\u201327). Powering filtration process of cyber security ecosystem using knowledge graph. Proceedings of the 2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud), Beijing, China.","DOI":"10.1109\/CSCloud.2016.36"},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Troussas, C., and Krouska, A. (2023). Path-Based Recommender System for Learning Activities Using Knowledge Graphs. Information, 14.","DOI":"10.3390\/info14010009"},{"key":"ref_90","unstructured":"Anita, V.C., Gangemi, A., Mancinelli, M., Marinucci, L., Nuzzolese, A.G., Presutti, V., and Veninata, C. (2019, January 26\u201330). ArCo: The Italian cultural heritage knowledge graph. Proceedings of the International Semantic Web Conference, Auckland, New Zealand."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"18342","DOI":"10.1021\/acsomega.0c02055","article-title":"Knowledge graph approach to combustion chemistry and interoperability","volume":"5","author":"Farazi","year":"2020","journal-title":"ACS Omega"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"2858423","DOI":"10.1155\/2017\/2858423","article-title":"Semantic health knowledge graph: Semantic integration of heterogeneous medical knowledge and services","volume":"2017","author":"Shi","year":"2017","journal-title":"BioMed Res. Int."},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Fathalla, S., Vahdati, S., Auer, S., and Lange, C. (2017, January 18\u201321). Towards a knowledge graph representing research findings by semantifying survey articles. Proceedings of the International Conference on Theory and Practice of Digital Libraries, Thessaloniki, Greece.","DOI":"10.1007\/978-3-319-67008-9_25"},{"key":"ref_94","doi-asserted-by":"crossref","unstructured":"Tomic, D., Drenjanac, D., Hoermann, S., and Auer, W. (2015). Experiences with creating a precision dairy farming ontology (DFO) and a knowledge graph for the data integration platform in agriOpenLink. J. Agric. Inform., 6.","DOI":"10.17700\/jai.2015.6.4.213"},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Rossetto, L., Baumgartner, M., Ashena, N., Ruosch, F., Pernischov\u00e1, R., and Bernstein, A. (2020, January 9). LifeGraph: A knowledge graph for lifelogs. Proceedings of the Third Annual Workshop on Lifelog Search Challenge, New York, NY, USA.","DOI":"10.1145\/3379172.3391717"},{"key":"ref_96","doi-asserted-by":"crossref","unstructured":"Bader, S.R., Grangel-Gonzalez, I., Nanjappa, P., Vidal, M., and Maleshkova, M. (2020, January 2\u20134). A knowledge graph for industry 4.0. Proceedings of the European Semantic Web Conference, Online.","DOI":"10.1007\/978-3-030-49461-2_27"},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Szekely, P., Knoblock, C.A., Slepicka, J., Philpot, A., Singh, A., Yin, C., Kapoor, D., Natarajan, P., Marcu, D., and Knight, K. (2015, January 11\u201315). Building and using a knowledge graph to combat human trafficking. Proceedings of the International Semantic Web Conference, Bethlehem, PA, USA.","DOI":"10.1007\/978-3-319-25010-6_12"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"4954","DOI":"10.1021\/ie061299i","article-title":"Design methodology for flexible multiple plant water networks","volume":"46","author":"Liao","year":"2007","journal-title":"Ind. Eng. Chem. Res."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"1268","DOI":"10.1016\/j.jclepro.2016.11.147","article-title":"Multi-objective optimization for resource network synthesis in eco-industrial parks using an integrated analytic hierarchy process","volume":"143","author":"Leong","year":"2017","journal-title":"J. Clean. Prod."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.resconrec.2016.06.005","article-title":"An MILP model for optimizing water exchanges in eco-industrial parks considering water quality","volume":"119","author":"Tiu","year":"2017","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.compchemeng.2016.05.003","article-title":"Shared and practical approach to conserve utilities in eco-industrial parks","volume":"93","author":"Nair","year":"2016","journal-title":"Comput. Chem. Eng."},{"key":"ref_102","doi-asserted-by":"crossref","unstructured":"Afshari, H., Farel, R., and Peng, Q. (2017). Improving the resilience of energy flow exchanges in eco-industrial parks: Optimization under uncertainty. ASCE-ASME J. Risk Uncert. Engrg. Sys. Part B Mech. Engrg., 3.","DOI":"10.1115\/1.4035729"},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.apenergy.2016.10.016","article-title":"A novel methodology for the design of waste heat recovery network in eco-industrial park using techno-economic analysis and multi-objective optimization","volume":"184","author":"Zhang","year":"2016","journal-title":"Appl. Energy"},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1016\/B978-0-444-59507-2.50147-5","article-title":"An inverse optimization approach to inducing resource conservation in eco-industrial parks","volume":"Volume 31","author":"Tan","year":"2012","journal-title":"Computer Aided Chemical Engineering"},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1016\/j.resconrec.2011.02.004","article-title":"Industry to industry by-products exchange network towards zero waste in palm oil refining processes","volume":"55","author":"Haslenda","year":"2011","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1111\/j.1530-9290.2010.00310.x","article-title":"Material flow optimization in by-product synergy networks","volume":"15","author":"Cimren","year":"2011","journal-title":"J. Ind. Ecol."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"106577","DOI":"10.1016\/j.compchemeng.2019.106577","article-title":"An agent composition framework for the J-Park Simulator-A knowledge graph for the process industry","volume":"130","author":"Zhou","year":"2019","journal-title":"Comput. Chem. Eng."},{"key":"ref_108","doi-asserted-by":"crossref","unstructured":"Kaiser, F.K., Dardik, U., Elitzur, A., Zilberman, P., Daniel, N., Wiens, M., Schultmann, F., Elovici, Y., and Puzis, R. (2023). Attack Hypotheses Generation Based on Threat Intelligence Knowledge Graph. IEEE Trans. Dependable Secur. Comput., 1\u201317.","DOI":"10.1109\/TDSC.2022.3233703"},{"key":"ref_109","doi-asserted-by":"crossref","unstructured":"Li, Z., Li, Y., Liu, Y., Liu, C., and Zhou, N. (2023). K-CTIAA: Automatic Analysis of Cyber Threat Intelligence Based on a Knowledge Graph. Symmetry, 15.","DOI":"10.3390\/sym15020337"},{"key":"ref_110","unstructured":"Kaloroumakis, P.E., and Smith, M.J. (2021). Toward a Knowledge Graph of Cybersecurity Countermeasures, MITRE Corporation."},{"key":"ref_111","doi-asserted-by":"crossref","unstructured":"Sharma, C., and Sinha, R. (2019, January 2\u20135). A schema-first formalism for labeled property graph databases: Enabling structured data loading and analytics. Proceedings of the 6th IEEE\/ACM International Conference on Big Data Computing, Applications and Technologies, Auckland, New Zealand.","DOI":"10.1145\/3365109.3368782"},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1002\/bult.2010.1720360610","article-title":"Constructions from dots and lines","volume":"36","author":"Rodriguez","year":"2010","journal-title":"Bull. Am. Soc. Inf. Sci. Technol."},{"key":"ref_113","unstructured":"Rodriguez, M.A., and Neubauer, P. (2012). Graph Data Management: Techniques and Applications, IGI Global."},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"1510","DOI":"10.14778\/3402755.3402810","article-title":"Graph data management systems for new application domains","volume":"4","author":"Elnikety","year":"2011","journal-title":"Proc. Vldb Endow."},{"key":"ref_115","doi-asserted-by":"crossref","unstructured":"Dominguez-Sal, D., Martinez-Bazan, N., Muntes-Mulero, V., Baleta, P., and Larriba-Pey, J.L. (2010, January 13\u201317). A discussion on the design of graph database benchmarks. Proceedings of the Technology Conference on Performance Evaluation and Benchmarking, Singapore.","DOI":"10.1007\/978-3-642-18206-8_3"},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"1152","DOI":"10.1007\/s11390-019-1966-0","article-title":"CK-modes clustering algorithm based on node cohesion in labeled property graph","volume":"34","author":"Wang","year":"2019","journal-title":"J. Comput. Sci. Technol."},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1166\/jctn.2020.8650","article-title":"Semantic Filtering of Twitter Data Using Labeled Property Graph (LPG)","volume":"17","author":"Kalva","year":"2020","journal-title":"J. Comput. Theor. Nanosci."},{"key":"ref_118","first-page":"1","article-title":"Combining inductive logic programming, active learning and robotics to discover the function of genes","volume":"5","author":"Bryant","year":"2001","journal-title":"Electron. Trans. Artif. Intell."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"402","DOI":"10.1093\/nar\/30.1.402","article-title":"LIGAND: Database of chemical compounds and reactions in biological pathways","volume":"30","author":"Goto","year":"2002","journal-title":"Nucleic Acids Res."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/S0092-8674(00)00015-5","article-title":"Functional discovery via a compendium of expression profiles","volume":"102","author":"Hughes","year":"2000","journal-title":"Cell"},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1073\/pnas.93.1.438","article-title":"Structure-activity relationships derived by machine learning: The use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming","volume":"93","author":"King","year":"1996","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1038\/nature02236","article-title":"Functional genomic hypothesis generation and experimentation by a robot scientist","volume":"427","author":"King","year":"2004","journal-title":"Nature"},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1038\/nature01254","article-title":"Computational systems biology","volume":"420","author":"Kitano","year":"2002","journal-title":"Nature"},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"1662","DOI":"10.1126\/science.1069492","article-title":"Systems biology: A brief overview","volume":"295","author":"Kitano","year":"2002","journal-title":"Science"},{"key":"ref_125","doi-asserted-by":"crossref","unstructured":"Muggleton, S.H., and Bryant, C.H. (2000, January 24\u201327). Theory completion using inverse entailment. Proceedings of the International Conference on Inductive Logic Programming, London, UK.","DOI":"10.1007\/3-540-44960-4_8"},{"key":"ref_126","doi-asserted-by":"crossref","unstructured":"Muggleton, S.H., Lodhi, H., Amini, A., and Sternberg, M.J.E. (2005, January 8\u201311). Support vector inductive logic programming. Proceedings of the International Conference on Discovery Science, Singapore.","DOI":"10.1007\/11563983_15"},{"key":"ref_127","doi-asserted-by":"crossref","unstructured":"Kuznetsov, S.O., and Samokhin, M.V. (2005, January 10\u201313). Learning closed sets of labeled graphs for chemical applications. Proceedings of the International Conference on Inductive Logic Programming, Bonn, Germany.","DOI":"10.1007\/11536314_12"},{"key":"ref_128","unstructured":"Formanowicz, P., Kasprzak, M., and Wawrzyniak, P. (2022). Graph-Based Modelling in Science, Technology and Art, Springer."},{"key":"ref_129","doi-asserted-by":"crossref","unstructured":"Zaki, N., Chandana, T., and Hany, A.A. (2017, January 16\u201317). Knowledge graph construction and search for biological databases. Proceedings of the 2017 International Conference on Research and Innovation in Information Systems (ICRIIS), Langkawi, Malaysia.","DOI":"10.1109\/ICRIIS.2017.8002465"},{"key":"ref_130","unstructured":"Silva, V., Freitas, A., and Handschuh, S. (2018, January 7\u201312). Building a Knowledge Graph from Natural Language Definitions for Interpretable Text Entailment Recognition. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan."},{"key":"ref_131","unstructured":"Fellbaum, C. (2010). Theory and Applications of Ontology: Computer Applications, Springer."},{"key":"ref_132","doi-asserted-by":"crossref","unstructured":"Penev, L., Dimitrova, M., Senderov, V., Zhelezov, G., Georgiev, T., Stoev, P., and Simov, K. (2019). OpenBiodiv: A Knowledge Graph for Literature-Extracted Linked Open Data in Biodiversity Science. Pensoft Publ., 7.","DOI":"10.3390\/publications7020038"},{"key":"ref_133","doi-asserted-by":"crossref","unstructured":"Purohit, S., Van, N., and Chin, G. (2021, January 15\u201318). Semantic Property Graph for Scalable Knowledge Graph Analytics. Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA.","DOI":"10.1109\/BigData52589.2021.9671547"},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"169","DOI":"10.3233\/SW-2011-0055","article-title":"Bringing relational databases into the semantic web: A survey","volume":"3","author":"Spanos","year":"2012","journal-title":"Semant. Web"},{"key":"ref_135","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.jss.2012.07.018","article-title":"RDOTE\u2013Publishing Relational Databases into the Semantic Web","volume":"86","author":"Vavliakis","year":"2013","journal-title":"J. Syst. Softw."},{"key":"ref_136","unstructured":"Angles, R., and Gutierrez, C. (2005). The Semantic Web: Research and Applications, Springer International Publishing."},{"key":"ref_137","unstructured":"Sakr, S., Elnikety, S., and He, Y. (November, January 29). G-SPARQL: A Hybrid Engine for Querying Large Attributed Graphs. Proceedings of the 21st ACM International Conference on Information and Knowledge Management, New York, NY, USA. CIKM\u201912."},{"key":"ref_138","doi-asserted-by":"crossref","unstructured":"Libkin, L., Reutter, J., and Vrgo\u010d, D. (2013, January 22). Trial for RDF: Adapting graph query languages for RDF data. Proceedings of the 32nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, New York, NY, USA.","DOI":"10.1145\/2463664.2465226"},{"key":"ref_139","unstructured":"Thakkar, H., Punkani, D., Keswani, Y., Lehmann, J., and Auer, S. (2018). A Stitch in Time Saves Nine\u2014SPARQL querying of Property Graphs using Gremlin Traversals. arXiv."},{"key":"ref_140","doi-asserted-by":"crossref","unstructured":"Rodriguez, M. (2015, January 27). The gremlin graph traversal machine and language (invited talk). Proceedings of the 15th Symposium on Database Programming Languages, Pittsburgh, PA, USA.","DOI":"10.1145\/2815072.2815073"},{"key":"ref_141","doi-asserted-by":"crossref","unstructured":"Virgilio, R.D. (2017, January 14\u201317). Smart RDF data storage in graph databases. Proceedings of the 2017 17th IEEE\/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), Madrid, Spain.","DOI":"10.1109\/CCGRID.2017.108"},{"key":"ref_142","doi-asserted-by":"crossref","unstructured":"Tomaszuk, D. (2016, January 22\u201325). RDF data in property graph model. Proceedings of the Research Conference on Metadata and Semantics Research, G\u00f6ttingen, Germany.","DOI":"10.1007\/978-3-319-49157-8_9"},{"key":"ref_143","doi-asserted-by":"crossref","unstructured":"Iordanov, B. (2010, January 15\u201317). Hypergraphdb: A generalized graph database. Proceedings of the International Conference on Web-Age Information Management, Jiuzhaigou, China.","DOI":"10.1007\/978-3-642-16720-1_3"},{"key":"ref_144","unstructured":"Das, S., Perry, M., Srinivasan, J., and Chong, E. (2010). A Tale of Two Graphs: Property Graphs as RDF in Oracle, EDBT."},{"key":"ref_145","doi-asserted-by":"crossref","unstructured":"Chiba, H., Yamanaka, R., Keswani, Y., and Matsumoto, S. (2020, January 1\u20136). G2GML: Graph to Graph Mapping Language for Bridging RDF and Property Graphs. Proceedings of the International Semantic Web Conference, Online.","DOI":"10.1007\/978-3-030-62466-8_11"},{"key":"ref_146","unstructured":"Matsumoto, S., Yamanaka, R., and Chiba, H. (2018). Mapping RDF graphs to property graphs. arXiv."},{"key":"ref_147","doi-asserted-by":"crossref","first-page":"86091","DOI":"10.1109\/ACCESS.2020.2993117","article-title":"Mapping rdf databases to property graph databases","volume":"8","author":"Angles","year":"2020","journal-title":"IEEE Access"},{"key":"ref_148","doi-asserted-by":"crossref","first-page":"118355","DOI":"10.1109\/ACCESS.2020.3002018","article-title":"PGO: Describing Property Graphs in RDF","volume":"8","author":"Tomaszuk","year":"2020","journal-title":"IEEE Access"},{"key":"ref_149","unstructured":"Sch\u00e4tzle, A., Przyjaciel-Zablocki, M., Berberich, T., and Lausen, G. (2015). Biomedical Data Management and Graph Online Querying, Springer."},{"key":"ref_150","doi-asserted-by":"crossref","unstructured":"Haihong, E., Han, P., and Song, M. (2020, January 14\u201316). Transforming RDF to Property Graph in Hugegraph. Proceedings of the 6th International Conference on Engineering and MIS 2020, Almaty, Kazakhstan. ICEMIS\u201920.","DOI":"10.1145\/3410352.3410833"},{"key":"ref_151","unstructured":"Zhang, R., Liu, P., Guo, X., Li, S., and Wang, X. A unified relational storage scheme for RDF and property graphs. Proceedings of the International Conference on Web Information Systems and Applications."},{"key":"ref_152","unstructured":"Angles, R., Thakkar, H., and Tomaszuk, D. (2019). RDF and Property Graphs Interoperability: Status and Issues, AMW."},{"key":"ref_153","doi-asserted-by":"crossref","unstructured":"Khayatbashi, S., Ferrada, S., and Hartig, O. (2022). Converting Property Graphs to RDF: A Preliminary Study of the Practical Impact of Different Mappings, GRADES-NDA@ SIGMOD.","DOI":"10.1145\/3534540.3534695"},{"key":"ref_154","unstructured":"Hartig, O. (2014). Reconciliation of RDF* and property graphs. arXiv."},{"key":"ref_155","first-page":"1","article-title":"Singleton Property Graph: Adding A Semantic Web Abstraction Layer to Graph Databases","volume":"2599","author":"Nguyen","year":"2019","journal-title":"BlockSW\/CKG@ ISWC"},{"key":"ref_156","doi-asserted-by":"crossref","unstructured":"Modoni, G., Sacco, M., and Terkaj, W. (2014, January 23\u201325). A survey of RDF store solutions. Proceedings of the 2014 International Conference on Engineering, Technology and Innovation (ICE), Bergamo, Italy.","DOI":"10.1109\/ICE.2014.6871541"},{"key":"ref_157","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1186\/s40537-022-00600-8","article-title":"Transforming OpenAPI Specification 3.0 documents into RDF-based semantic web services","volume":"9","author":"Muhamad","year":"2022","journal-title":"J. Big Data"},{"key":"ref_158","unstructured":"Ferilli, S., and Redavid, D. (2020). International Symposium on Methodologies for Intelligent Systems, Springer."},{"key":"ref_159","doi-asserted-by":"crossref","unstructured":"Nguyen, V., Bodenreider, O., and Sheth, A. (2014, January 7\u201311). Don\u2019t like RDF reification? Making statements about statements using singleton property. Proceedings of the 23rd International Conference on World WIDE Web, Seoul, Korea.","DOI":"10.1145\/2566486.2567973"},{"key":"ref_160","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1093\/logcom\/exm027","article-title":"On the properties of metamodeling in OWL","volume":"17","author":"Motik","year":"2007","journal-title":"J. Log. Comput."},{"key":"ref_161","doi-asserted-by":"crossref","unstructured":"Horrocks, I. (2005, January 1\u20135). Owl: A description logic based ontology language. Proceedings of the International Conference on Principles and Practice of Constraint Programming, Sitges, Spain.","DOI":"10.1007\/11562931_1"},{"key":"ref_162","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.websem.2015.03.001","article-title":"Efficient SPARQL-to-SQL with R2RML mappings","volume":"33","author":"Rezk","year":"2015","journal-title":"J. Web Semant."},{"key":"ref_163","doi-asserted-by":"crossref","first-page":"3121","DOI":"10.1007\/s10639-017-9574-5","article-title":"Comprehensive analysis of semantic web reasoners and tools: A survey","volume":"22","author":"Khamparia","year":"2017","journal-title":"Educ. Inf. Technol."},{"key":"ref_164","unstructured":"Di Pierro, D., Redavid, D., and Ferilli, S. (2022, January 24\u201325). Linking Graph Databases and Semantic Web for Reasoning in Library Domains. Proceedings of the IRCDL 2022: Italian Research Conference on Digital Libraries, Padova, Italy."},{"key":"ref_165","doi-asserted-by":"crossref","unstructured":"Ferilli, S. (2023). GEAR: A General Inference Engine for Automated MultiStrategy Reasoning. Electronics, 12.","DOI":"10.3390\/electronics12020256"},{"key":"ref_166","unstructured":"Minker, J. (1982, January 7\u20139). On indefinite databases and the closed world assumption. Proceedings of the International Conference on Automated Deduction, New York, NY, USA."},{"key":"ref_167","doi-asserted-by":"crossref","unstructured":"Moore, P., and Van Pham, H.H. (2015, January 24\u201327). On context and the open world assumption. Proceedings of the 2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, Gwangju, Korea.","DOI":"10.1109\/WAINA.2015.7"},{"key":"ref_168","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1111\/nyas.14619","article-title":"Abstraction and analogy-making in artificial intelligence","volume":"1505","author":"Mitchell","year":"2021","journal-title":"Ann. N. Y. Acad. Sci."},{"key":"ref_169","doi-asserted-by":"crossref","first-page":"978","DOI":"10.1037\/0033-2909.128.6.978","article-title":"Logic and human reasoning: An assessment of the deduction paradigm","volume":"128","author":"Evans","year":"2002","journal-title":"Psychol. Bull."},{"key":"ref_170","doi-asserted-by":"crossref","unstructured":"Carnap, R., and Jeffrey, R.C. (1980). Studies in Inductive Logic and Probability, University of California Press.","DOI":"10.1525\/9780520318328"},{"key":"ref_171","unstructured":"Zalta, E.N. (2011). The Stanford Encyclopedia of Philosophy, The Metaphysics Research Lab."},{"key":"ref_172","unstructured":"Svennevig, J. (2023, January 21). Abduction as a Methodological Approach to the Study of Spoken Interaction. Available online: https:\/\/www.researchgate.net\/publication\/251398301_Abduction_as_a_methodological_approach_to_the_study_of_spoken_interaction."},{"key":"ref_173","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/0743-1066(95)94697-X","article-title":"An argumentation-theoretic foundation for logic programming","volume":"22","author":"Dung","year":"1995","journal-title":"J. Log. Program."},{"key":"ref_174","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1007\/BF00993074","article-title":"Inferential theory of learning as a conceptual basis for multistrategy learning","volume":"11","author":"Michalski","year":"1993","journal-title":"Mach. Learn."},{"key":"ref_175","doi-asserted-by":"crossref","unstructured":"Figuera, M., Rohde, P.D., and Vidal, M. (2021, January 19\u201323). Trav-SHACL: Efficiently validating networks of SHACL constraints. Proceedings of the Web Conference 2021, Ljubljana, Slovenia.","DOI":"10.1145\/3442381.3449877"},{"key":"ref_176","doi-asserted-by":"crossref","unstructured":"Pareti, P., and Konstantinidis, G. (2021). A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs. arXiv.","DOI":"10.1007\/978-3-030-95481-9_6"},{"key":"ref_177","doi-asserted-by":"crossref","unstructured":"Pareti, P., Konstantinidis, G., Mogavero, F., and Norman, T.J. (2020, January 1\u20136). SHACL satisfiability and containment. Proceedings of the International Semantic Web Conference, Online.","DOI":"10.1007\/978-3-030-62419-4_27"},{"key":"ref_178","unstructured":"Staworko, S., Boneva, I., Gayo, J.L.E., Hym, S., Prud\u2019Hommeaux, E.G., and Solbrig, H. (2015, January 23\u201327). Complexity and Expressiveness of ShEx for RDF. Proceedings of the 18th International Conference on Database Theory (ICDT 2015), Brussels, Belgium."},{"key":"ref_179","unstructured":"Boneva, I., Dusart, J., Alvarez, D.F., and Gayo, J.E.L. (2019, January 26\u201330). Shape designer for ShEx and SHACL constraints. Proceedings of the ISWC 2019-18th International Semantic Web Conference, Auckland, New Zealand."},{"key":"ref_180","doi-asserted-by":"crossref","unstructured":"Wright, J., M\u00e9ndez, S.J.R., Haller, A., Taylor, K., and Omran, P.G. (2020, January 1\u20136). Sch\u00edmatos: A SHACL-based web-form generator for knowledge graph editing. Proceedings of the International Semantic Web Conference, Online.","DOI":"10.1007\/978-3-030-62466-8_5"},{"key":"ref_181","unstructured":"Arndt, N., Valdestilhas, A., Publio, G., Arriaga, A.C., H\u00f6ffner, K., and Riechert, T. (2021). A Visual SHACL Shapes Editor Based on OntoPad, SEMANTiCS Posters&Demos, CEUR-WS."},{"key":"ref_182","doi-asserted-by":"crossref","unstructured":"Ekaputra, F.J., and Lin, X. (2016, January 26\u201327). SHACL4P: SHACL constraints validation within Prot\u00e9g\u00e9 ontology editor. Proceedings of the 2016 International Conference on Data and Software Engineering (ICoDSE), Denpasar, Indonesia.","DOI":"10.1109\/ICODSE.2016.7936162"},{"key":"ref_183","unstructured":"Senthilvel, M., Beetz, J., and Computation, D. (2020). A Visual Programming Approach for Validating Linked Building Data, Universit\u00e4tsbibliothek der RWTH Aachen."},{"key":"ref_184","unstructured":"Alom, H. (2022). A Library for Visualizing SHACL over Knowledge Graphs. [Master\u2019s Thesis, Gottfried Wilhelm Leibniz Universit\u00e4t Hannover]."},{"key":"ref_185","unstructured":"Echegaray, D. (2023, January 21). Making a Common Graphical Language for the Validation of Linked Data. 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