{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T20:08:00Z","timestamp":1742933280621,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030590505"},{"type":"electronic","value":"9783030590512"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-59051-2_19","type":"book-chapter","created":{"date-parts":[[2020,9,12]],"date-time":"2020-09-12T19:02:51Z","timestamp":1599937371000},"page":"287-300","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["CTransE: An Effective Information Credibility Evaluation Method Based on Classified Translating Embedding in Knowledge Graphs"],"prefix":"10.1007","author":[{"given":"Yunfeng","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingjian","family":"Lei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,8]]},"reference":[{"key":"19_CR1","unstructured":"DIGITAL 2020 GLOBAL DIGITAL OVERVIEW. https:\/\/wearesocial.cn\/wordpress\/wp-content\/uploads\/common\/digital2020\/digital-2020-global.pdf"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"De Araujo, D.A., M\u00fcller, C., Chishman, R., et al.: Information extraction for legal knowledge representation \u2013a review of approaches and trends. Revista Brasilra De Computao Aplicada 6(2) (2014)","DOI":"10.5335\/rbca.2014.3542"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Riano, D., Peleg, M., Ten, T.A.: Ten years of knowledge representation for health care (2009\u20132018): topics, trends, and challenges. Artif. Intell. Med. 100, 101713 (2019)","DOI":"10.1016\/j.artmed.2019.101713"},{"issue":"01","key":"19_CR4","first-page":"22","volume":"41","author":"T Li","year":"2017","unstructured":"Li, T., Wang, Z.C., Li, H.K.: Development and construction of knowledge graph. J. Nanjing Univ. Technol. 41(01), 22\u201334 (2017)","journal-title":"J. Nanjing Univ. Technol."},{"issue":"01","key":"19_CR5","first-page":"4","volume":"3","author":"G Qi","year":"2017","unstructured":"Qi, G., Gao, H., Wu, T.X.: Research progress of knowledge map. Inf. Eng. 3(01), 4\u201325 (2017)","journal-title":"Inf. Eng."},{"issue":"8","key":"19_CR6","doi-asserted-by":"publisher","first-page":"1798","DOI":"10.1109\/TPAMI.2013.50","volume":"35","author":"Y Bengio","year":"2013","unstructured":"Bengio, Y., Courville, A., Vincent, P.: Representation learning: a review and new perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 1798\u20131828 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"19_CR7","unstructured":"Turian, J., Ratinov, L., Bengio, Y.: Word representations: a simple and general method for semi-supervised learning. In: Proceedings of ACL, pp. 384\u2013394. ACL, Stroudsburg (2010)"},{"issue":"02","key":"19_CR8","first-page":"247","volume":"53","author":"ZY Lin","year":"2016","unstructured":"Lin, Z.Y., Sun, M.S., Lin, Y.K., Xie, R.B.: Research progress of knowledge representation learning. Comput. Res. Dev. 53(02), 247\u2013261 (2016)","journal-title":"Comput. Res. Dev."},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Brodes, A., Weston, J., Collobert, R., et al.: Learning structured embeddings of knowledge base. In: Proceedings of AAAI, pp. 301\u2013306. AAAI, Menlo Park (2011)","DOI":"10.1609\/aaai.v25i1.7917"},{"issue":"2","key":"19_CR10","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/s10994-013-5363-6","volume":"94","author":"A Bordes","year":"2014","unstructured":"Bordes, A., Glorot, X., Weston, J., et al.: A semantic matching energy function for learning with multi-relational data. Mach. Learn. 94(2), 233\u2013259 (2014)","journal-title":"Mach. Learn."},{"key":"19_CR11","unstructured":"Bordes, A., Glorot, X., Weston, J., et, al.: Joint learning of words and meaning representations for open-text semantic parsing. In: Proceedings of AISTATS, pp. 127\u2013135. JMLR, Cadiz, Spain (2012)"},{"key":"19_CR12","unstructured":"Bordes, A., Usunier, N., Garcia-Duran, A., et al.: Translating embeddings for modeling multi-relational data. In: Proceedings of NIPS, pp. 2787\u20132795, MIT Press, Cambridge (2013)"},{"key":"19_CR13","unstructured":"Nickel, M., Rosasco, L., Poggio, T.: Holographic embeddings of knowledge graphs. arXiv preprint arXiv: 1510. 04935.2015"},{"key":"19_CR14","unstructured":"Galileo, N., Lise, G.: Link Prediction. Springer Science. https:\/\/doi-org.libezproxy.umac.mo\/10.1007\/978-1-4899-7687-1_486"},{"key":"19_CR15","unstructured":"David, L., Jon, K.: The link prediction problem for social networks. In: Proceedings of the Twelfth International Conference on Information and Knowledge Management, pp. 556\u2013559 November 2003"},{"issue":"7","key":"19_CR16","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1093\/bioinformatics\/btl014","volume":"22","author":"H Yu","year":"2006","unstructured":"Yu, H., Paccanaro, A., Trifonov, V., Gerstein, M.: Predicting interactions in protein networks by completing defective cliques. Bioinformatics 22(7), 823\u2013829 (2006)","journal-title":"Bioinformatics"},{"key":"19_CR17","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1038\/nature06830","volume":"453","author":"A Clauset","year":"2008","unstructured":"Clauset, A., Moore, C., Newman, M.E.J.: Hierarchical structure and the prediction of missing links in networks. Nature 453, 98\u2013101 (2008)","journal-title":"Nature"},{"key":"19_CR18","doi-asserted-by":"crossref","unstructured":"O'Madadhain, J., Hutchins, J., Smyth, P.: Prediction and ranking algorithms for event-based network data. ACM SIGKDD Explor. Newslett. 7(2), 23\u201330 (2005)","DOI":"10.1145\/1117454.1117458"},{"issue":"11","key":"19_CR19","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/219717.219748","volume":"38","author":"GA Miller","year":"1995","unstructured":"Miller, G.A.: WordNet: a lexical database for English. Commun. ACM 38(11), 39\u201341 (1995)","journal-title":"Commun. ACM"},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"Bollacker, K., Evans, C., Paritosh, P., et al.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of KDD, pp. 1247\u20131250. ACM, New York (2008)","DOI":"10.1145\/1376616.1376746"},{"key":"19_CR21","doi-asserted-by":"crossref","unstructured":"Bordes, A., Weston, J., Collobert, R., Bengio, Y.: Learning structured embeddings of knowledge bases. In: Proceedings of the 25th Annual Conference on Artificial Intelligence (AAAI) (2011)","DOI":"10.1609\/aaai.v25i1.7917"},{"key":"19_CR22","unstructured":"Bordes, A., Nicolas, U., Alberto, G.: Translating embeddings for modeling multi-relational data. In: Advances in Neural Information Processing System, NIPS, vol. 26 (2013)"}],"container-title":["Lecture Notes in Computer Science","Database and Expert Systems Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59051-2_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:39:08Z","timestamp":1709811548000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59051-2_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030590505","9783030590512"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59051-2_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"8 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DEXA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database and Expert Systems Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bratislava","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Slovakia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dexa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.dexa.org\/dexa2020","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"190","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"20","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"20% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4-6","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3-4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the COVID-19 pandemic the conference was held online. DEXA Workshops volume: submissions sent - 15, full papers accepted - 6, short papers accepted - 4, reviewers per paper 3, papers per reviewer 1-2","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}