{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T00:17:15Z","timestamp":1715300235823},"reference-count":30,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2022,3,1]]},"DOI":"10.1587\/transinf.2021edp7148","type":"journal-article","created":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T22:25:03Z","timestamp":1646087103000},"page":"646-655","source":"Crossref","is-referenced-by-count":0,"title":["Competent Triple Identification for Knowledge Graph Completion under the Open-World Assumption"],"prefix":"10.1587","volume":"E105.D","author":[{"given":"Esrat","family":"FARJANA","sequence":"first","affiliation":[{"name":"The Graduate University for Advanced Studies, SOKENDAI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natthawut","family":"KERTKEIDKACHORN","sequence":"additional","affiliation":[{"name":"Japan Advanced Institute of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryutaro","family":"ICHISE","sequence":"additional","affiliation":[{"name":"The Graduate University for Advanced Studies, SOKENDAI"},{"name":"National Institute of Informatics"},{"name":"National Institute of Advanced Industrial Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] D. Vrande\u010di\u0107 and M. Kr\u00f6tzsch, \u201cWikidata: A Free Collaborative Knowledge Base,\u201d Communications of the ACM, vol.57, no.10, pp.78-85, 2014. 10.1145\/2629489","DOI":"10.1145\/2629489"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] J. Hoffart, F.M. Suchanek, K. Berberich, and G. Weikum, \u201cYAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia,\u201d Artificial Intelligence, vol.194, p.28-61, 2013. 10.1016\/j.artint.2012.06.001","DOI":"10.1016\/j.artint.2012.06.001"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] K. Bollacker, C. Evans, P. Paritosh, T. Sturge, and J. Taylor, \u201cFreebase: A Collaboratively Created Graph Database For Structuring Human Knowledge,\u201d in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp.1247-1250, 2008. 10.1145\/1376616.1376746","DOI":"10.1145\/1376616.1376746"},{"key":"4","unstructured":"[4] Z. Wang, J. Zhang, J. Feng, and Z. Chen, \u201cKnowledge Graph Embedding by Translating on Hyperplanes,\u201d Proc. 28th AAAI Conference on Artificial Intelligence, pp.1112-1119, 2014."},{"key":"5","unstructured":"[5] T. Trouillon, J. Welbl, S. Riedel, E. Gaussier, and G. Bouchard, \u201cComplex embeddings for simple link prediction,\u201d Proc. 33rd International Conference on International Conference on Machine Learning, pp.2071-2080, 2016."},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] M. Tanwar, R. Duggal, and S.K. Khatri, \u201cUnravelling unstructured data: A wealth of information in big data,\u201d in Proceddings of the 4th International Conference on Reliability, Infocom Technologies and Optimization, pp.1-6, 2015. 10.1109\/icrito.2015.7359270","DOI":"10.1109\/ICRITO.2015.7359270"},{"key":"7","unstructured":"[7] M. Banko, M. Cafarella, S. Soderland, M. Broadhead, and O. Etzioni, \u201cOpen Information Extraction from the Web,\u201d Proc. 20th International Joint Conference on Artifical Intelligence, p.2670-2676, 2007."},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] L.D. Corro and R. Gemulla, \u201cClausIE: Clause-based Open Information Extraction,\u201d in Proceedings of the 22nd international conference on World Wide Web, pp.355-366, 2013. 10.1145\/2488388.2488420","DOI":"10.1145\/2488388.2488420"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] K. Gashteovski, R. Gemulla, and L.d. Corro, \u201cMinIE: Minimizing Facts in Open Information Extraction,\u201d in Proceedings of the Conference on Empirical Methods in Natural Language Processing, ACL, pp.2630-2640, 2017. 10.18653\/v1\/d17-1278","DOI":"10.18653\/v1\/D17-1278"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] D. Liben-Nowell and J. Kleinberg, \u201cThe Link-prediction Problem for Social Networks,\u201d Journal of the American Society for Information Science and Technology, vol.58, no.7, pp.1019-1031, 2007. 10.1002\/asi.20591","DOI":"10.1002\/asi.20591"},{"key":"11","unstructured":"[11] Y. Lin, Z. Liu, M. Sun, Y. Liu, and X. Zhu, \u201cLearning Entity and Relation Embeddings for Knowledge Graph Completion,\u201d in Proceedings of the 29th AAAI Conference on Artificial Intelligence, pp.2181-2187, 2015."},{"key":"12","unstructured":"[12] T. Ebisu and R. Ichise, \u201cTorusE: Knowledge graph embedding on a lie group,\u201d Proc. AAAI Conference on Artificial Intelligence, pp.1819-1826, 2018."},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] L.A. Gal\u00e1rraga, C. Teflioudi, K. Hose, and F. Suchanek, \u201cAMIE: Association Rule Mining under Incomplete Evidence in Ontological Knowledge Bases,\u201d in Proceedings of the 22nd International Conference on World Wide Web, pp.413-422, 2013. 10.1145\/2488388.2488425","DOI":"10.1145\/2488388.2488425"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] T. Ebisu and R. Ichise, \u201cGraph Pattern Entity Ranking Model for Knowledge Graph Completion,\u201d in Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.988-997, 2019. 10.18653\/v1\/n19-1104","DOI":"10.18653\/v1\/N19-1104"},{"key":"15","doi-asserted-by":"publisher","unstructured":"[15] H. Paulheim and C. Bizer, \u201cImproving the Quality of Linked Data using Statistical Distributions,\u201d International Journal on Semantic Web and Information Systems, vol.10, no.2, pp.63-86, 2014. 10.4018\/ijswis.2014040104","DOI":"10.4018\/ijswis.2014040104"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] L. Zhao, R.F. Munne, N. Kertkeidkachorn, and R. Ichise, \u201cMissing RDF Triples Detection and Correction in Knowledge Graphs,\u201d in Proceedings of the 7th Joint International Semantic Technology Conference, p.164-180, Springer, 2017. 10.1007\/978-3-319-70682-5_11","DOI":"10.1007\/978-3-319-70682-5_11"},{"key":"17","unstructured":"[17] A. Fader, S. Soderland, and O. Etzioni, \u201cIdentifying Relations for Open Information Extraction,\u201d Proc. Conference on Empirical Methods in Natural Language Processing, pp.1535-1545, ACL, 2011."},{"key":"18","unstructured":"[18] M. Schmitz, R. Bart, S. Soderland, O. Etzioni, et al., \u201cOpen Language Learning for Information Extraction,\u201d Proc. Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp.523-534, 2012."},{"key":"19","unstructured":"[19] N. Kertkeidkachorn and R. Ichise, \u201cT2KG: An End-to-End System for Creating Knowledge Graph from Unstructured Text,\u201d Proc. AAAI Workshop on Knowledge-based Techniques for Problem Solving and Reasoning, pp.743-749, 2017."},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] I. Augenstein, S. Pad\u00f3, and S. Rudolph, \u201cLODifier: Generating Linked Data from Unstructured Text,\u201d in Proceedings of the 9th International Conference on Semantic Web: Research and Applications, pp.210-224, Springer, 2012. 10.1007\/978-3-642-30284-8_21","DOI":"10.1007\/978-3-642-30284-8_21"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] V. Kr\u00ed\u017e, B. Hladk\u00e1, M. Ne\u010dask\u00fd, and T. Knap, \u201cData Extraction Using NLP Techniques and Its Transformation to Linked Data,\u201d in Proceedings of the Mexican International Conference on Artificial Intelligence, pp.113-124, Springer, 2014. 10.1007\/978-3-319-13647-9_13","DOI":"10.1007\/978-3-319-13647-9_13"},{"key":"22","doi-asserted-by":"publisher","unstructured":"[22] H. Alani, S. Kim, D.E. Millard, M.J. Weal, W. Hall, P.H. Lewis, and N.R. Shadbolt, \u201cAutomatic Ontology-based Knowledge Extraction from Web Documents,\u201d IEEE Intell. Syst., vol.18, no.1, pp.14-21, 2003. 10.1109\/mis.2003.1179189","DOI":"10.1109\/MIS.2003.1179189"},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] A. Yates, M. Cafarella, M. Banko, O. Etzioni, M. Broadhead, and S. Soderland, \u201cTextRunner: Open Information Extraction on the Web,\u201d in Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp.25-26, ACL, 2007. 10.3115\/1614164.1614177","DOI":"10.3115\/1614164.1614177"},{"key":"24","unstructured":"[24] F. Wu and D.S. Weld, \u201cOpen Information Extraction Using Wikipedia,\u201d Proc. 48th Annual Meeting of the Association for Computational Linguistics, pp.118-127, 2010."},{"key":"25","unstructured":"[25] J. Devlin, M.W. Chang, K. Lee, and K. Toutanova, \u201cBERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,\u201d Proc. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.4171-4186, 2019."},{"key":"26","unstructured":"[26] T. Mikolov, K. Chen, G. Corrado, and J. Dean, \u201cEfficient Estimation of Word Representations in Vector Space,\u201d Workshop Track Proceedings of the 1st International Conference on Learning Representations, 2013."},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] J. Pennington, R. Socher, and C. Manning, \u201cGloVe: Global Vectors for Word Representation,\u201d in Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp.1532-1543, 2014. 10.3115\/v1\/d14-1162","DOI":"10.3115\/v1\/D14-1162"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] W.-T. Yih, M. Richardson, C. Meek, M.-W. Chang, and J. Suh, \u201cThe Value of Semantic Parse Labeling for Knowledge Base Question Answering,\u201d in Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pp.201-206, ACL, 2016. 10.18653\/v1\/p16-2033","DOI":"10.18653\/v1\/P16-2033"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] J. Christensen, Mausam, S. Soderland, and O. Etzioni, \u201cAn Analysis of Open Information Extraction based on Semantic Role Labeling,\u201d in Proceedings of the 6th International Conference on Knowledge Capture, pp.113-120, 2011. 10.1145\/1999676.1999697","DOI":"10.1145\/1999676.1999697"},{"key":"30","doi-asserted-by":"crossref","unstructured":"[30] H. Pal and Mausam, \u201cDemonyms and Compound Relational Nouns in Nominal Open IE,\u201d in Proceedings of the 5th Workshop on Automated Knowledge Base Construction, pp.35-39, 2016. 10.18653\/v1\/w16-1307","DOI":"10.18653\/v1\/W16-1307"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E105.D\/3\/E105.D_2021EDP7148\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T04:55:43Z","timestamp":1715230543000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E105.D\/3\/E105.D_2021EDP7148\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,1]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2021edp7148","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,1]]},"article-number":"2021EDP7148"}}