{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T16:54:34Z","timestamp":1778172874942,"version":"3.51.4"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"20","license":[{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71571186"],"award-info":[{"award-number":["71571186"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61273322"],"award-info":[{"award-number":["61273322"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1007\/s10489-023-04834-8","type":"journal-article","created":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T04:01:40Z","timestamp":1689480100000},"page":"23946-23965","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["TGR: Neural-symbolic ontological reasoner for domain-specific knowledge graphs"],"prefix":"10.1007","volume":"53","author":[{"given":"Xixi","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaoyun","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,16]]},"reference":[{"key":"4834_CR1","doi-asserted-by":"publisher","unstructured":"Fensel D, \u015eim\u015fek U, Angele K, Huaman E, K\u00e4rle E, Panasiuk O, Toma I, Umbrich J, Wahler A (2020) Knowledge Graphs. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-030-37439-6","DOI":"10.1007\/978-3-030-37439-6"},{"key":"4834_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2021.103076","volume":"185","author":"B Abu-Salih","year":"2021","unstructured":"Abu-Salih B (2021) Domain-specific knowledge graphs: A survey. J Netw Comput Appl 185:103076. https:\/\/doi.org\/10.1016\/j.jnca.2021.103076","journal-title":"J Netw Comput Appl"},{"issue":"1","key":"4834_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102431","volume":"58","author":"T Noraset","year":"2021","unstructured":"Noraset T, Lowphansirikul L, Tuarob S (2021) Wabiqa: a wikipedia-based thai question-answering system. Inf Process Manag 58(1):102431. https:\/\/doi.org\/10.1016\/j.ipm.2020.102431","journal-title":"Inf Process Manag"},{"issue":"1","key":"4834_CR4","doi-asserted-by":"publisher","first-page":"77","DOI":"10.3233\/SW-170275","volume":"9","author":"M F\u00e4rber","year":"2018","unstructured":"F\u00e4rber M, Bartscherer F, Menne C, Rettinger A (2018) Linked data quality of dbpedia, freebase, opencyc, wikidata, and yago. Semantic Web 9(1):77\u2013129. https:\/\/doi.org\/10.3233\/SW-170275","journal-title":"Semantic Web"},{"key":"4834_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-12375-8","author":"M Kejriwal","year":"2019","unstructured":"Kejriwal M (2019) Domain-specific Knowledge Graph Construction, 1\u20137. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-030-12375-8","journal-title":"Springer, Cham."},{"key":"4834_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2020.100616","volume":"65","author":"K Wiharja","year":"2020","unstructured":"Wiharja K, Pan JZ, Kollingbaum MJ, Deng Y (2020) Schema aware iterative knowledge graph completion. J Web Sem 65:100616. https:\/\/doi.org\/10.1016\/j.websem.2020.100616","journal-title":"J Web Sem"},{"key":"4834_CR7","doi-asserted-by":"publisher","unstructured":"Tang, X., Feng, Z., Xiao, Y., Wang, M., Ye, T., Zhou, Y., Meng, J., Zhang, B., Zhang, D. (2022) Construction and application of an ontology-based domain-specific knowledge graph for petroleum exploration and development. Geosci Front 101426 . https:\/\/doi.org\/10.1016\/j.gsf.2022.101426","DOI":"10.1016\/j.gsf.2022.101426"},{"key":"4834_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112948","volume":"141","author":"X Chen","year":"2020","unstructured":"Chen X, Jia S, Xiang Y (2020) A review: Knowledge reasoning over knowledge graph. Expert Syst Appl 141:112948. https:\/\/doi.org\/10.1016\/j.eswa.2019.112948","journal-title":"Expert Syst Appl"},{"key":"4834_CR9","doi-asserted-by":"publisher","unstructured":"Baader F, Horrocks I, Sattler U (2004) Handbook on Ontologies. Description logics. Springer, Berlin, pp 3\u201328. https:\/\/doi.org\/10.1007\/978-3-540-24750-0_1","DOI":"10.1007\/978-3-540-24750-0_1"},{"issue":"2","key":"4834_CR10","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/s41019-020-00150-0","volume":"6","author":"X Qin","year":"2021","unstructured":"Qin X, Zhang X, Yasin MQ, Wang S, Feng Z, Xiao G (2021) Suma: A partial materialization-based scalable query answering in owl 2 dl. Data Sci Eng 6(2):229\u2013245. https:\/\/doi.org\/10.1007\/s41019-020-00150-0","journal-title":"Data Sci Eng"},{"issue":"17","key":"4834_CR11","doi-asserted-by":"publisher","first-page":"2723","DOI":"10.1093\/bioinformatics\/btx275","volume":"33","author":"M Alshahrani","year":"2017","unstructured":"Alshahrani M, Khan MA, Maddouri O, Kinjo AR, Queralt- Rosinach N, Hoehndorf R (2017) Neuro-symbolic representation learning on biological knowledge graphs. Bioinformatics 33(17):2723\u20132730. https:\/\/doi.org\/10.1093\/bioinformatics\/btx275","journal-title":"Bioinformatics"},{"key":"4834_CR12","doi-asserted-by":"publisher","unstructured":"Jain N, Tran T.-K, Gad-Elrab MH, Stepanova D (2021) Improving knowledge graph embeddings with ontological reasoning. In: International Semantic Web Conference, Springer pp. 410\u2013426. https:\/\/doi.org\/10.1007\/978-3-030-88361-4_24","DOI":"10.1007\/978-3-030-88361-4_24"},{"key":"4834_CR13","doi-asserted-by":"publisher","first-page":"100959","DOI":"10.1016\/j.aei.2019.100959","volume":"42","author":"H Chen","year":"2019","unstructured":"Chen H, Luo X (2019) An automatic literature knowledge graph and reasoning network modeling framework based on ontology and natural language processing. Advanced Engineering Informatics 42:100959. https:\/\/doi.org\/10.1016\/j.aei.2019.100959","journal-title":"Advanced Engineering Informatics"},{"issue":"1","key":"4834_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10817-013-9296-3","volume":"53","author":"Y Kazakov","year":"2014","unstructured":"Kazakov Y, Kr\u00f6tzsch M, Siman\u010d\u00edk F (2014) The incredible elk. J Autom Reason 53(1):1\u201361. https:\/\/doi.org\/10.1007\/s10817-013-9296-3","journal-title":"J Autom Reason"},{"key":"4834_CR15","doi-asserted-by":"publisher","unstructured":"Carral D, Dragoste I, Gonz\u00e1lez L, Jacobs C, Kr\u00f6tzsch M, Urbani J (2019) Vlog: A rule engine for knowledge graphs. In: International Semantic Web Conference, Springer, pp. 19\u201335. https:\/\/doi.org\/10.1007\/978-3-030-30796-7_2","DOI":"10.1007\/978-3-030-30796-7_2"},{"issue":"2","key":"4834_CR16","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1109\/TNNLS.2021.3070843","volume":"33","author":"S Ji","year":"2021","unstructured":"Ji S, Pan S, Cambria E, Marttinen P, Philip SY (2021) A survey on knowledge graphs: Representation, acquisition, and applications. IEEE Trans Neural Netw Learn Syst 33(2):494\u2013514. https:\/\/doi.org\/10.1109\/TNNLS.2021.3070843","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"4834_CR17","unstructured":"Bordes A, Usunier N, Garcia-Duran A, Weston J, Yakhnenko O (2013) Translating embeddings for modeling multi-relational data. Adv Neural Inform Process Sys 26"},{"key":"4834_CR18","doi-asserted-by":"crossref","unstructured":"Wang Z, Zhang J, Feng J, Chen Z (2014) Knowledge graph embedding by translating on hyperplanes. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 28. https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/8870","DOI":"10.1609\/aaai.v28i1.8870"},{"issue":"2","key":"4834_CR19","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.websem.2007.03.004","volume":"5","author":"E Sirin","year":"2007","unstructured":"Sirin E, Parsia B, Grau BC, Kalyanpur A, Katz Y (2007) Pellet: A practical owl-dl reasoner. J Web Seman 5(2):51\u201353. https:\/\/doi.org\/10.1016\/j.websem.2007.03.004","journal-title":"J Web Seman"},{"issue":"3","key":"4834_CR20","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1007\/s10817-014-9305-1","volume":"53","author":"B Glimm","year":"2014","unstructured":"Glimm B, Horrocks I, Motik B, Stoilos G, Wang Z (2014) Hermit: an owl 2 reasoner. J Autom Reason 53(3):245\u2013269. https:\/\/doi.org\/10.1007\/s10817-014-9305-1","journal-title":"J Autom Reason"},{"issue":"1","key":"4834_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJSWIS.2018010101","volume":"14","author":"JZ Pan","year":"2018","unstructured":"Pan JZ, Bobed C, Guclu I, Bobillo F, Kollingbaum MJ, Mena E, Li Y-F (2018) Predicting reasoner performance on abox intensive owl 2 el ontologies. Int J Semant Web Inform Sys 14(1):1\u201330. https:\/\/doi.org\/10.4018\/IJSWIS.2018010101","journal-title":"Int J Semant Web Inform Sys"},{"key":"4834_CR22","doi-asserted-by":"publisher","first-page":"104365","DOI":"10.1016\/j.cognition.2020.104365","volume":"203","author":"P Perconti","year":"2020","unstructured":"Perconti P, Plebe A (2020) Deep learning and cognitive science. Cognition 203:104365. https:\/\/doi.org\/10.1016\/j.cognition.2020.104365","journal-title":"Cognition"},{"issue":"3","key":"4834_CR23","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1037\/rev0000177","volume":"127","author":"NT Franklin","year":"2020","unstructured":"Franklin NT, Norman KA, Ranganath C, Zacks JM, Gershman SJ (2020) Structured event memory: A neuro-symbolic model of event cognition. Psychol Rev 127(3):327. https:\/\/doi.org\/10.1037\/rev0000177","journal-title":"Psychol Rev"},{"key":"4834_CR24","doi-asserted-by":"publisher","unstructured":"Belle V (2020) Symbolic logic meets machine learning: A brief survey in infinite domains. In: International Conference on Scalable Uncertainty Management, Springer pp. 3\u201316. https:\/\/doi.org\/10.1007\/978-3-030-58449-8_1","DOI":"10.1007\/978-3-030-58449-8_1"},{"issue":"1","key":"4834_CR25","doi-asserted-by":"publisher","first-page":"3","DOI":"10.3233\/SW-190368","volume":"11","author":"P Hitzler","year":"2020","unstructured":"Hitzler P, Bianchi F, Ebrahimi M, Sarker MK (2020) Neural-symbolic integration and the semantic web. Semant Web 11(1):3\u201311. https:\/\/doi.org\/10.3233\/SW-190368","journal-title":"Semant Web"},{"issue":"9","key":"4834_CR26","doi-asserted-by":"publisher","first-page":"6326","DOI":"10.1007\/s10489-020-02165-6","volume":"51","author":"M Ebrahimi","year":"2021","unstructured":"Ebrahimi M, Eberhart A, Bianchi F, Hitzler P (2021) Towards bridging the neuro-symbolic gap: Deep deductive reasoners. Appl Intell 51(9):6326\u20136348. https:\/\/doi.org\/10.1007\/s10489-020-02165-6","journal-title":"Appl Intell"},{"issue":"3","key":"4834_CR27","doi-asserted-by":"publisher","first-page":"197","DOI":"10.3233\/AIC-210084","volume":"34","author":"MK Sarker","year":"2021","unstructured":"Sarker MK, Zhou L, Eberhart A, Hitzler P (2021) Neuro-symbolic artificial intelligence. AI Commun 34(3):197\u2013209. https:\/\/doi.org\/10.3233\/AIC-210084","journal-title":"AI Commun"},{"issue":"6","key":"4834_CR28","doi-asserted-by":"publisher","first-page":"035","DOI":"10.1093\/nsr\/nwac035","volume":"9","author":"P Hitzler","year":"2022","unstructured":"Hitzler P, Eberhart A, Ebrahimi M, Sarker MK, Zhou L (2022) Neurosymbolic approaches in artificial intelligence. Nat Sci Rev 9(6):035. https:\/\/doi.org\/10.1093\/nsr\/nwac035","journal-title":"Nat Sci Rev"},{"key":"4834_CR29","doi-asserted-by":"publisher","unstructured":"Garcez Ad, Bader S, Bowman H, Lamb LC, de Penning L, Illuminoo B, Poon H, Gerson Zaverucha C (2022) Neural-symbolic learning and reasoning: A survey and interpretation. Neuro-Symbol Art Intell State Art 342:1. https:\/\/doi.org\/10.3233\/FAIA210348","DOI":"10.3233\/FAIA210348"},{"key":"4834_CR30","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.aiopen.2021.03.001","volume":"2","author":"J Zhang","year":"2021","unstructured":"Zhang J, Chen B, Zhang L, Ke X, Ding H (2021) Neural, symbolic and neural-symbolic reasoning on knowledge graphs. AI Open 2:14\u201335. https:\/\/doi.org\/10.1016\/j.aiopen.2021.03.001","journal-title":"AI Open"},{"issue":"2","key":"4834_CR31","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1145\/3397512","volume":"64","author":"P Hitzler","year":"2021","unstructured":"Hitzler P (2021) A review of the semantic web field. Commun ACM 64(2):76\u201383. https:\/\/doi.org\/10.1145\/3397512","journal-title":"Commun ACM"},{"key":"4834_CR32","doi-asserted-by":"publisher","unstructured":"Bansal, I., Tiwari, S., Rivero, C.R (2020): The impact of negative triple generation strategies and anomalies on knowledge graph completion. In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp. 45\u201354. https:\/\/doi.org\/10.1145\/3340531.3412023","DOI":"10.1145\/3340531.3412023"},{"key":"4834_CR33","doi-asserted-by":"publisher","unstructured":"Linjordet T, Balog K (2020) Sanitizing synthetic training data generation for question answering over knowledge graphs. In: Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval, pp. 121\u2013128. https:\/\/doi.org\/10.1145\/3409256.3409836","DOI":"10.1145\/3409256.3409836"},{"issue":"2","key":"4834_CR34","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1504\/IJWET.2020.109729","volume":"15","author":"Y Chen","year":"2020","unstructured":"Chen Y, Kokar MM, Moskal JJ (2020) Rdf object description generator. Int J Web Eng Technol 15(2):140\u2013169. https:\/\/doi.org\/10.1504\/IJWET.2020.109729","journal-title":"Int J Web Eng Technol"},{"issue":"2","key":"4834_CR35","doi-asserted-by":"publisher","first-page":"305","DOI":"10.3233\/SW-180319","volume":"10","author":"R Taelman","year":"2019","unstructured":"Taelman R, Colpaert P, Mannens E, Verborgh R (2019) Generating public transport data based on population distributions for rdf benchmarking. Semant Web 10(2):305\u2013328. https:\/\/doi.org\/10.3233\/SW-180319","journal-title":"Semant Web"},{"issue":"5","key":"4834_CR36","doi-asserted-by":"publisher","first-page":"823","DOI":"10.3233\/SW-190363","volume":"10","author":"B Makni","year":"2019","unstructured":"Makni B, Hendler J (2019) Deep learning for noise-tolerant rdfs reasoning. Semant Web 10(5):823\u2013862. https:\/\/doi.org\/10.3233\/SW-190363","journal-title":"Semant Web"},{"key":"4834_CR37","doi-asserted-by":"publisher","unstructured":"Kulmanov M, Liu-Wei W, Yan Y, Hoehndorf R (2019) El embeddings: Geometric construction of models for the description logic el++. In: Proceedings of the 28th International Joint Conferences on Artificial Intelligence. https:\/\/doi.org\/10.48550\/arXiv.1902.10499","DOI":"10.48550\/arXiv.1902.10499"},{"issue":"1","key":"4834_CR38","doi-asserted-by":"publisher","first-page":"102","DOI":"10.2200\/S00834ED1V01Y201802WBE018","volume":"9","author":"EF Kendall","year":"2019","unstructured":"Kendall EF, McGuinness DL (2019) Ontology engineering. Synth. Lect. Semant. Web Theory Technol 9(1):102. https:\/\/doi.org\/10.2200\/S00834ED1V01Y201802WBE018","journal-title":"Synth. Lect. Semant. Web Theory Technol"},{"key":"4834_CR39","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.ic.2016.03.003","volume":"252","author":"A Kaiser","year":"2017","unstructured":"Kaiser A, Kroening D, Wahl T (2017) Lost in abstraction: Monotonicity in multi-threaded programs. Inform Comput 252:30\u201347. https:\/\/doi.org\/10.1016\/j.ic.2016.03.003","journal-title":"Inform Comput"},{"issue":"2","key":"4834_CR40","doi-asserted-by":"publisher","first-page":"62","DOI":"10.4018\/JDM.2018040104","volume":"29","author":"T Dong","year":"2018","unstructured":"Dong T, Cheng Q, Cao B, Shi J (2018) A novel approach to distributed rule matching and multiple firing based on mapreduce. J Database Manag 29(2):62\u201384. https:\/\/doi.org\/10.4018\/JDM.2018040104","journal-title":"J Database Manag"},{"key":"4834_CR41","doi-asserted-by":"publisher","unstructured":"Antoniou G, Batsakis S, Mutharaju R, Pan JZ, Qi G, Tachmazidis I, Urbani J, Zhou Z (2018) A survey of large-scale reasoning on the web of data. The Knowledge Engineering Review 33. https:\/\/doi.org\/10.1017\/S0269888918000255","DOI":"10.1017\/S0269888918000255"},{"key":"4834_CR42","doi-asserted-by":"publisher","unstructured":"Sun Z, Deng Z.-H, Nie J.-Y, Tang J (2019) Rotate: Knowledge graph embedding by relational rotation in complex space. In: International Conference on Learning Representations. https:\/\/doi.org\/10.48550\/arXiv.1902.10197","DOI":"10.48550\/arXiv.1902.10197"},{"key":"4834_CR43","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.neucom.2021.12.079","volume":"476","author":"H Lu","year":"2022","unstructured":"Lu H, Hu H, Lin X (2022) Dense: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy. Neurocomputing 476:115\u2013125. https:\/\/doi.org\/10.1016\/j.neucom.2021.12.079","journal-title":"Neurocomputing"},{"key":"4834_CR44","doi-asserted-by":"publisher","first-page":"2774","DOI":"10.1609\/aaai.v34i03.5665","volume":"34","author":"F Che","year":"2020","unstructured":"Che F, Zhang D, Tao J, Niu M, Zhao B (2020) Parame: Regarding neural network parameters as relation embeddings for knowledge graph completion. Proceedings of the AAAI Conference on Artificial Intelligence 34:2774\u20132781. https:\/\/doi.org\/10.1609\/aaai.v34i03.5665","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"4834_CR45","doi-asserted-by":"publisher","unstructured":"Dettmers T, Minervini P, Stenetorp P, Riedel S (2018) Convolutional 2d knowledge graph embeddings. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 32. https:\/\/doi.org\/10.1609\/aaai.v32i1.11573","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"4834_CR46","doi-asserted-by":"publisher","unstructured":"Schlichtkrull M, Kipf TN, Bloem P, Berg Rvd, Titov I, Welling M (2018) Modeling relational data with graph convolutional networks. In: European Semantic Web Conference, Springer pp. 593\u2013607. https:\/\/doi.org\/10.1007\/978-3-319-93417-4_38","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"4834_CR47","doi-asserted-by":"publisher","first-page":"109597","DOI":"10.1016\/j.knosys.2022.109597","volume":"255","author":"T Shen","year":"2022","unstructured":"Shen T, Zhang F, Cheng J (2022) A comprehensive overview of knowledge graph completion. Knowl Based Syst 255:109597. https:\/\/doi.org\/10.1016\/j.knosys.2022.109597","journal-title":"Knowl Based Syst"},{"key":"4834_CR48","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1613\/jair.1.11661","volume":"68","author":"P Hohenecker","year":"2020","unstructured":"Hohenecker P, Lukasiewicz T (2020) Ontology reasoning with deep neural networks. J Artif Intell Res 68:503\u2013540. https:\/\/doi.org\/10.1613\/jair.1.11661","journal-title":"J Artif Intell Res"},{"key":"4834_CR49","doi-asserted-by":"publisher","unstructured":"Horridge M, Parsia B, Sattler U (2009) Explaining inconsistencies in owl ontologies. In: International Conference on Scalable Uncertainty Management, Springer pp. 124\u2013137. https:\/\/doi.org\/10.1007\/978-3-642-04388-8_11","DOI":"10.1007\/978-3-642-04388-8_11"},{"key":"4834_CR50","doi-asserted-by":"publisher","unstructured":"Golbreich C (2004) Combining rule and ontology reasoners for the semantic web. In: International Workshop on Rules and Rule Markup Languages for the Semantic Web, Springer pp. 6\u201322. https:\/\/doi.org\/10.1007\/978-3-540-30504-0_2","DOI":"10.1007\/978-3-540-30504-0_2"},{"key":"4834_CR51","doi-asserted-by":"publisher","unstructured":"Katsumi M, Gr\u00fcninger M (2015) Using psl to extend and evaluate event ontologies. In: International Symposium on Rules and Rule Markup Languages for the Semantic Web, Springer pp. 225\u2013240. https:\/\/doi.org\/10.1007\/978-3-319-21542-6_15","DOI":"10.1007\/978-3-319-21542-6_15"},{"issue":"03","key":"4834_CR52","doi-asserted-by":"publisher","first-page":"1750015","DOI":"10.1142\/S0218213017600156","volume":"26","author":"S Batsakis","year":"2017","unstructured":"Batsakis S, Tachmazidis I, Antoniou G (2017) Representing time and space for the semantic web. Int J Artif Intell Tools 26(03):1750015. https:\/\/doi.org\/10.1142\/S0218213017600156","journal-title":"Int J Artif Intell Tools"},{"issue":"1","key":"4834_CR53","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/s10472-016-9529-3","volume":"82","author":"R Zese","year":"2018","unstructured":"Zese R, Bellodi E, Riguzzi F, Cota G, Lamma E (2018) Tableau reasoning for description logics and its extension to probabilities. Ann Math Artif Intell 82(1):101\u2013130. https:\/\/doi.org\/10.1007\/s10472-016-9529-3","journal-title":"Ann Math Artif Intell"},{"key":"4834_CR54","doi-asserted-by":"publisher","first-page":"6182","DOI":"10.1007\/s10489-020-02022-6","volume":"51","author":"S Van Nguyen","year":"2021","unstructured":"Van Nguyen S, Tran HM, Maleszka M (2021) Geometric modeling: background for processing the 3d objects. Appl Intell 51:6182\u20136201. https:\/\/doi.org\/10.1007\/s10489-020-02022-6","journal-title":"Appl Intell"},{"issue":"1","key":"4834_CR55","doi-asserted-by":"publisher","first-page":"23","DOI":"10.3233\/ICA-210661","volume":"29","author":"Y Liang","year":"2022","unstructured":"Liang Y, He F, Zeng X, Luo J (2022) An improved loop subdivision to coordinate the smoothness and the number of faces via multi-objective optimization. Integr Comput Aided Eng 29(1):23\u201341. https:\/\/doi.org\/10.3233\/ICA-210661","journal-title":"Integr Comput Aided Eng"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-023-04834-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-023-04834-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-023-04834-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T16:15:54Z","timestamp":1697904954000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-023-04834-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,16]]},"references-count":55,"journal-issue":{"issue":"20","published-print":{"date-parts":[[2023,10]]}},"alternative-id":["4834"],"URL":"https:\/\/doi.org\/10.1007\/s10489-023-04834-8","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,16]]},"assertion":[{"value":"23 June 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 July 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}