{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T02:32:11Z","timestamp":1773801131684,"version":"3.50.1"},"reference-count":82,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2019,4,13]],"date-time":"2019-04-13T00:00:00Z","timestamp":1555113600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Ambient Intelligence is currently a lively application domain of Artificial Intelligence and has become the central subject of multiple initiatives worldwide. Several approaches inside this domain make use of knowledge bases or knowledge graphs, both previously existing and ad hoc. This form of representation allows heterogeneous data gathered from diverse sources to be contextualized and combined to create relevant information for intelligent systems, usually following higher level constraints defined by an ontology. In this work, we conduct a systematic review of the existing usages of knowledge bases in intelligent environments, as well as an in-depth study of the predictive and decision-making models employed. Finally, we present a use case for smart homes and illustrate the use and advantages of Knowledge Graph Embeddings in this context.<\/jats:p>","DOI":"10.3390\/s19081774","type":"journal-article","created":{"date-parts":[[2019,4,15]],"date-time":"2019-04-15T11:15:58Z","timestamp":1555326958000},"page":"1774","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Prediction and Decision-Making in Intelligent Environments Supported by Knowledge Graphs, A Systematic Review"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6838-1266","authenticated-orcid":false,"given":"Elvira","family":"Amador-Dom\u00ednguez","sequence":"first","affiliation":[{"name":"Ontology Engineering Group, Department of Artificial Intelligence, ETSI Inform\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, 28660 Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7587-0703","authenticated-orcid":false,"given":"Emilio","family":"Serrano","sequence":"additional","affiliation":[{"name":"Ontology Engineering Group, Department of Artificial Intelligence, ETSI Inform\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, 28660 Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0792-4156","authenticated-orcid":false,"given":"Daniel","family":"Manrique","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Lab, Department of Artificial Intelligence, ETSI Inform\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, 28660 Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9461-7922","authenticated-orcid":false,"given":"Juan F.","family":"De Paz","sequence":"additional","affiliation":[{"name":"Expert Systems and Applications Lab, Faculty of Science, University of Salamanca, 37007 Salamanca, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1186\/2192-1962-3-12","article-title":"Intelligent Environments: A manifesto","volume":"3","author":"Augusto","year":"2013","journal-title":"Hum. Centric Comput. Inf. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1016\/j.telpol.2018.10.001","article-title":"Governance and economics of smart cities: Opportunities and challenges","volume":"42","author":"Anand","year":"2018","journal-title":"Telecommun. Policy"},{"key":"ref_3","unstructured":"(2018, December 20). Km4City Project. Available online: http:\/\/www.disit.org\/drupal\/?q=node\/5487."},{"key":"ref_4","unstructured":"(2019, February 19). Roompathy Project. Available online: https:\/\/ami-2016.github.io\/RPY\/index.html."},{"key":"ref_5","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_6","unstructured":"Kitchenham, B.A., and Charters, S. (2007). Guidelines for Performing Systematic Literature Reviews in Software Engineering, Keele University. Technical Report EBSE-2007-01."},{"key":"ref_7","unstructured":"(2018, December 18). Introducing the Knowledge Graph: Things, Not Strings. Available online: https:\/\/googleblog.blogspot.com\/2012\/05\/introducing-knowledge-graph-things-not.html."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1016\/j.infsof.2011.02.007","article-title":"Usability evaluation methods for the web: A systematic mapping study","volume":"53","author":"Fernandez","year":"2011","journal-title":"Inf. Softw. Technol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1177\/014107680309600304","article-title":"Five steps to conducting a systematic review","volume":"96","author":"Khan","year":"2003","journal-title":"J. R. Soc. Med."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s10708-007-9111-y","article-title":"Citizens as sensors: The world of volunteered geography","volume":"69","author":"Goodchild","year":"2007","journal-title":"GeoJournal"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1145\/3186549.3186562","article-title":"Commonsense Knowledge in Machine Intelligence","volume":"46","author":"Tandon","year":"2018","journal-title":"SIGMOD Rec."},{"key":"ref_12","unstructured":"Miller, G. (1998). WordNet: An Electronic Lexical Database, MIT Press."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1145\/219717.219745","article-title":"CYC: A Large-Scale Investment in Knowledge Infrastructure","volume":"38","author":"Lenat","year":"1995","journal-title":"Commun. ACM"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Tandon, N., de Melo, G., and Weikum, G. (August, January 30). WebChild 2.0: Fine-grained commonsense knowledge distillation. Proceedings of the ACL 2017, System Demonstrations, Vancouver, BC, Canada.","DOI":"10.18653\/v1\/P17-4020"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1023\/B:BTTJ.0000047600.45421.6d","article-title":"ConceptNet & Mdash; A Practical Commonsense Reasoning Tool-Kit","volume":"22","author":"Liu","year":"2004","journal-title":"BT Technol. J."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"44059","DOI":"10.1109\/ACCESS.2018.2864157","article-title":"Predicting Available Parking Slots on Critical and Regular Services by Exploiting a Range of Open Data","volume":"6","author":"Badii","year":"2018","journal-title":"IEEE Access"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1016\/j.jvlc.2014.10.003","article-title":"Linked open graph: Browsing multiple SPARQL entry points to build your own LOD views","volume":"25","author":"Bellini","year":"2014","journal-title":"J. Vis. Lang. Comput."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Badii, C., Bellini, P., Difino, A., and Nesi, P. (2018). Sii-Mobility: An IoT\/IoE Architecture to Enhance Smart City Mobility and Transportation Services. Sensors, 19.","DOI":"10.3390\/s19010001"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.websem.2017.07.002","article-title":"3cixty: Building comprehensive knowledge bases for city exploration","volume":"46\u201347","author":"Troncy","year":"2017","journal-title":"J. Web Semant."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Persaud, P., Varde, A.S., and Robila, S. (2017, January 6\u20138). Enhancing Autonomous Vehicles with Commonsense: Smart Mobility in Smart Cities. Proceedings of the 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), Boston, MA, USA.","DOI":"10.1109\/ICTAI.2017.00155"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Olszewski, R., Trojanowska, H., Turek, A., and Kietlinska, B. (2017, January 29\u201331). Solving smart city revitalisation problems with geoparticipation process and fuzzy methods. Proceedings of the 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Guilin, China.","DOI":"10.1109\/FSKD.2017.8393168"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1007\/s11277-016-3923-3","article-title":"Depression Index Service Using Knowledge Based Crowdsourcing in Smart Health","volume":"93","author":"Kim","year":"2017","journal-title":"Wirel. Pers. Commun."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Xiaobo, W., Liu, J., and Xu, C. (2016, January 25\u201326). Research on Ontology-Based Knowledge Base Construction of Bilingual Teaching Resources. Proceedings of the 2016 International Conference on Smart City and Systems Engineering (ICSCSE), Zhangjiajie, China.","DOI":"10.1109\/ICSCSE.2016.0048"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Sellis, T., and Oikonomou, K. (2017). A Cloud-Based Time-Dependent Routing Service. Algorithmic Aspects of Cloud Computing, Springer International Publishing.","DOI":"10.1007\/978-3-319-57045-7"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Nguyen, N.T., Kowalczyk, R., Or\u0142owski, C., and Zi\u00f3\u0142kowski, A. (2016). High-Level Model for the Design of KPIs for Smart Cities Systems. Transactions on Computational Collective Intelligence XXV, Springer.","DOI":"10.1007\/978-3-662-53580-6"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Tan, Y., and Shi, Y. (2016). Application of the Spatial Data Mining Methodology and Gamification for the Optimisation of Solving the Transport Issues of the \u201cVarsovian Mordor\u201d. Data Mining and Big Data, Springer International Publishing.","DOI":"10.1007\/978-3-319-40973-3"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Supnithi, T., Yamaguchi, T., Pan, J.Z., Wuwongse, V., and Buranarach, M. (2015). Ontology Based Suggestion Distribution System. Semantic Technology, Springer International Publishing.","DOI":"10.1007\/978-3-319-15615-6"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Barnwal, R.P., Ghosh, N., Ghosh, S.K., and Das, S.K. (2018, January 18\u201320). PS-Sim: A Framework for Scalable Simulation of Participatory Sensing Data. Proceedings of the 2018 IEEE International Conference on Smart Computing, SMARTCOMP 2018, Sicily, Italy.","DOI":"10.1109\/SMARTCOMP.2018.00091"},{"key":"ref_29","unstructured":"Bogale, T.E., Wang, X., and Le, L.B. (arXiv, 2018). Machine Intelligence Techniques for Next-Generation Context-Aware Wireless Networks, arXiv."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.eswa.2018.01.009","article-title":"SACRE: Supporting contextual requirements\u2019 adaptation in modern self-adaptive systems in the presence of uncertainty at runtime","volume":"98","author":"Zavala","year":"2018","journal-title":"Exp. Syst. Appl."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1016\/j.future.2016.10.030","article-title":"Knowledge-infused and consistent Complex Event Processing over real-time and persistent streams","volume":"76","author":"Zhou","year":"2017","journal-title":"Future Gener. Comp. Syst."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Xu, Y., and Li, C. (2018, January 25\u201326). Research on the Early Intelligent Warning System of Lost Circulation Based on Fuzzy Expert System. Proceedings of the 2018 International Conference on Intelligent Transportation, Big Data Smart City (ICITBS), Xiamen, China.","DOI":"10.1109\/ICITBS.2018.00142"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Duyen, V.T.A., and Nhon, D.V. (2016, January 6\u20138). The intelligent guiding system that helps students to solve plane geometry problems. Proceedings of the 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE), Hanoi, Vietnam.","DOI":"10.1109\/KSE.2016.7758046"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1274","DOI":"10.1109\/JIOT.2016.2587380","article-title":"A Semantic Publish-Subscribe Architecture for the Internet of Things","volume":"3","author":"Roffia","year":"2016","journal-title":"IEEE Int. Things J."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"41118","DOI":"10.1109\/ACCESS.2018.2857499","article-title":"An Ontology-Oriented Architecture for Dealing With Heterogeneous Data Applied to Telemedicine Systems","volume":"6","author":"Peral","year":"2018","journal-title":"IEEE Access"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"74854","DOI":"10.1109\/ACCESS.2018.2881422","article-title":"Automatic Non-Taxonomic Relation Extraction from Big Data in Smart City","volume":"6","author":"Qiu","year":"2018","journal-title":"IEEE Access"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1049\/iet-sen.2016.0189","article-title":"Follow a guide to solve urban problems: The creation and application of urban knowledge graph","volume":"11","author":"Shan","year":"2017","journal-title":"IET Softw."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Blomqvist, E., Maynard, D., Gangemi, A., Hoekstra, R., Hitzler, P., and Hartig, O. (2017). From Data to City Indicators: A Knowledge Graph for Supporting Automatic Generation of Dashboards. The Semantic Web, Springer International Publishing.","DOI":"10.1007\/978-3-319-58451-5"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"28","DOI":"10.15446\/dyna.v84n200.59062","article-title":"Ontological emergence based on context analysis as a service for intelligent environments","volume":"84","author":"Aguilar","year":"2017","journal-title":"Dyna"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Chang, C.K., Chiari, L., Cao, Y., Jin, H., Mokhtari, M., and Aloulou, H. (2016). Wellness Concepts Model Use and Effectiveness in Intelligent Knowledge Authoring Environment. Inclusive Smart Cities and Digital Health, Springer International Publishing.","DOI":"10.1007\/978-3-319-39601-9"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.neucom.2018.08.033","article-title":"Recognizing multi-resident activities in non-intrusive sensor-based smart homes by formal concept analysis","volume":"318","author":"Hao","year":"2018","journal-title":"Neurocomputing"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Kim, J.C., and Chung, K. (2018). Neural-network based adaptive context prediction model for ambient intelligence. J. Ambient Intell. Humaniz. Comput., 1\u20138.","DOI":"10.1007\/s12652-018-0972-3"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Chung, K., Yoo, H., and Choe, D.E. (2018). Ambient context-based modeling for health risk assessment using deep neural network. J. Ambient Intell. Humaniz. Comput., 1\u20139.","DOI":"10.1007\/s12652-018-1033-7"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.eswa.2017.01.033","article-title":"Reactive, proactive, and extensible situation-awareness in ambient assisted living","volume":"76","author":"Machado","year":"2017","journal-title":"Exp. Syst. Appl."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Dimitrov, T., Pauli, J., Naroska, E., and Ressel, C. (2008, January 9\u201312). Structured Learning of Component Dependencies in AmI Systems. Proceedings of the 2008 IEEE\/WIC\/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Singapore.","DOI":"10.1109\/WIIAT.2008.13"},{"key":"ref_46","unstructured":"Rhee, S.K., Lee, K., and Kim, H. (2012, January 26\u201329). Ontology-based context and preference model for personal service robot. Proceedings of the 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), Daejeon, Korea."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Mandler, B., Marquez-Barja, J., Mitre Campista, M.E., Cag\u00e1\u0148ov\u00e1, D., Chaouchi, H., Zeadally, S., Badra, M., Giordano, S., Fazio, M., and Somov, A. (2016). A Cooperative Decision Support System for Children\u2019s Neurodevelopment Monitoring. Internet of Things. IoT Infrastructures, Springer International Publishing.","DOI":"10.1007\/978-3-319-47075-7"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.envsoft.2018.06.003","article-title":"An intelligent system on knowledge generation and communication about flooding","volume":"108","author":"Sermet","year":"2018","journal-title":"Environ. Model. Softw."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Fast, E., McGrath, W., Rajpurkar, P., and Bernstein, M.S. (2016, January 7\u201312). Augur: Mining Human Behaviors from Fiction to Power Interactive Systems. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, CA, USA.","DOI":"10.1145\/2858036.2858528"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.artmed.2015.12.001","article-title":"SmartFABER: Recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment","volume":"67","author":"Riboni","year":"2016","journal-title":"Artif. Intell. Med."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1109\/MWC.2016.7721736","article-title":"Internet-of-things-based smart environments: State of the art, taxonomy, and open research challenges","volume":"23","author":"Ahmed","year":"2016","journal-title":"IEEE Wirel. Commun."},{"key":"ref_52","unstructured":"The European Commission (2013). European Collected Library of Artistic Performance, The European Comission."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Schoonenberg, W.C.H., and Farid, A.M. (2017, January 5\u20138). Modeling smart cities with hetero-functional graph theory. Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, Canada.","DOI":"10.1109\/SMC.2017.8122848"},{"key":"ref_54","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G., and Dean, J. (2013, January 5\u201310). Distributed Representations of Words and Phrases and Their Compositionality. Proceedings of the 26th International Conference on Neural Information Processing Systems, Lake Tahoe, NV, USA."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Puri, M., Varde, A.S., and Dong, B. (2018, January 10\u201313). Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions. Proceedings of the 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA.","DOI":"10.1109\/BigData.2018.8622162"},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Preuveneers, D., den Bergh, J.V., Wagelaar, D., Georges, A., Rigole, P., Clerckx, T., Berbers, Y., Coninx, K., Jonckers, V., and Bosschere, K.D. (2004, January 8\u201311). Towards an Extensible Context Ontology for Ambient Intelligence. Proceedings of the Second European Symposium on Ambient Intelligence, Eindhoven, The Netherlands.","DOI":"10.1007\/978-3-540-30473-9_15"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Espinoza-Arias, P., Poveda-Villal\u00f3n, M., Garc\u00eda-Castro, R., and Corcho, O. (2018). Ontological Representation of Smart City Data: From Devices to Cities. Appl. Sci., 9.","DOI":"10.3390\/app9010032"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Szilagyi, I., and Wira, P. (2016, January 23\u201326). Ontologies and Semantic Web for the Internet of Things\u2014A survey. Proceedings of the IECON 2016\u201442nd Annual Conference of the IEEE Industrial, Florence, Italy.","DOI":"10.1109\/IECON.2016.7793744"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1023\/A:1007465528199","article-title":"Bayesian Network Classifiers","volume":"29","author":"Friedman","year":"1997","journal-title":"Mach. Learn."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Kirch, W. (2008). Pearson\u2019s Correlation Coefficient. Encyclopedia of Public Health, Springer.","DOI":"10.1007\/978-1-4020-5614-7"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Sarwar, B., Karypis, G., Konstan, J., and Riedl, J. (2001, January 1\u20135). Item-Based Collaborative Filtering Recommendation Algorithms. Proceedings of the 10th International Conference on World Wide Web, Hong Kong, China.","DOI":"10.1145\/371920.372071"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Brusilovsky, P., Kobsa, A., and Nejdl, W. (2007). Collaborative Filtering Recommender Systems. The Adaptive Web, Springer.","DOI":"10.1007\/978-3-540-72079-9"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.artint.2007.09.006","article-title":"MEBN: A language for first-order Bayesian knowledge bases","volume":"172","author":"Laskey","year":"2008","journal-title":"Artif. Intell."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Breiman, L. (2017). Classification and Regression Trees, CRC Press.","DOI":"10.1201\/9781315139470"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"B-141","DOI":"10.1287\/mnsc.17.4.B141","article-title":"Decision-Making in a Fuzzy Environment","volume":"17","author":"Bellman","year":"1970","journal-title":"Manag. Sci."},{"key":"ref_66","unstructured":"Quinlan, J.R. (1993). C4.5: Programs for Machine Learning, Morgan Kaufmann Publishers Inc."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random Forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"3183","DOI":"10.1021\/jm980697n","article-title":"Robust QSAR Models Using Bayesian Regularized Neural Networks","volume":"42","author":"Burden","year":"1999","journal-title":"J. Med. Chem."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1162\/neco.1992.4.3.448","article-title":"A Practical Bayesian Framework for Backpropagation Networks","volume":"4","author":"MacKay","year":"1992","journal-title":"Neural Comput."},{"key":"ref_70","unstructured":"Foresee, F.D., and Hagan, M.T. (1997, January 12). Gauss-Newton approximation to Bayesian learning. Proceedings of the International Conference on Neural Networks (ICNN\u201997), Houston, TX, USA."},{"key":"ref_71","unstructured":"Cohen, W.W. (1995, January 9\u201312). Fast Effective Rule Induction. Proceedings of the Twelfth International Conference on Machine Learning, Tahoe City, CA, USA."},{"key":"ref_72","unstructured":"Buchanan, B.G., and Shortliffe, E.H. (1984). Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley Series in Artificial Intelligence), Addison-Wesley Longman Publishing Co., Inc."},{"key":"ref_73","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":"2016","journal-title":"Proc. IEEE"},{"key":"ref_74","unstructured":"Lassila, O., and Swick, R.R. (2019, April 11). Resource Description Framework (RDF) Model and Syntax Specification. W3C Recommendation, World Wide Web Consortium. Available online: https:\/\/www.w3.org\/TR\/1999\/REC-rdf-syntax-19990222\/."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Zhang, F., Yuan, N.J., Lian, D., Xie, X., and Ma, W.Y. (2016, January 13\u201317). Collaborative Knowledge Base Embedding for Recommender Systems. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA.","DOI":"10.1145\/2939672.2939673"},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Sun, Z., Yang, J., Zhang, J., Bozzon, A., Huang, L.K., and Xu, C. (2019, January 16\u201320). Recurrent Knowledge Graph Embedding for Effective Recommendation. Proceedings of the 12th ACM Conference on Recommender Systems, Copenhagen, Denmark.","DOI":"10.1145\/3240323.3240361"},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Bordes, A., Chopra, S., and Weston, J. (arXiv, 2014). Question Answering with Subgraph Embeddings, arXiv.","DOI":"10.3115\/v1\/D14-1067"},{"key":"ref_78","unstructured":"Burges, C.J.C., Bottou, L., Welling, M., Ghahramani, Z., and Weinberger, K.Q. (2013). Translating Embeddings for Modeling Multi-relational Data. Advances in Neural Information Processing Systems 26, Curran Associates, Inc."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Nguyen, D.Q., Nguyen, T.D., Nguyen, D.Q., and Phung, D.Q. (2018). A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network, Association for Computational Linguistics. NAACL-HLT (2).","DOI":"10.18653\/v1\/N18-2053"},{"key":"ref_80","unstructured":"Nickel, M., Tresp, V., and Kriegel, H.P. (July, January 28). A Three-Way Model for Collective Learning on Multi-Relational Data. Proceedings of the 28th International Conference on International Conference on Machine Learning, Bellevue, WA, USA."},{"key":"ref_81","unstructured":"Socher, R., Chen, D., Manning, C.D., and Ng, A.Y. (2013, January 5\u201310). Reasoning with Neural Tensor Networks for Knowledge Base Completion. Proceedings of the 26th International Conference on Neural Information Processing Systems, Lake Tahoe, NV, USA."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"De Melo, G. (2017, January 3\u20137). Inducing Conceptual Embedding Spaces from Wikipedia. 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