{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:37:49Z","timestamp":1743140269726,"version":"3.40.3"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030322328"},{"type":"electronic","value":"9783030322335"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-32233-5_20","type":"book-chapter","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T22:04:51Z","timestamp":1569967491000},"page":"249-261","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Cosine-Based Embedding for Completing Schematic Knowledge"],"prefix":"10.1007","author":[{"given":"Huan","family":"Gao","sequence":"first","affiliation":[]},{"given":"Xianda","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Weizhuo","family":"Li","sequence":"additional","affiliation":[]},{"given":"Guilin","family":"Qi","sequence":"additional","affiliation":[]},{"given":"Meng","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,9,30]]},"reference":[{"key":"20_CR1","volume-title":"WordNet: An Electronic Lexical Database","author":"G Miller","year":"1998","unstructured":"Miller, G.: WordNet: An Electronic Lexical Database. MIT press, Cambridge (1998)"},{"issue":"2","key":"20_CR2","doi-asserted-by":"crossref","first-page":"167","DOI":"10.3233\/SW-140134","volume":"6","author":"J Lehmann","year":"2015","unstructured":"Lehmann, J., et al.: DBpedia - a large-scale, multilingual knowledge base extracted from Wikipedia. Semant. Web 6(2), 167\u2013195 (2015)","journal-title":"Semant. Web"},{"issue":"3","key":"20_CR3","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/j.websem.2008.06.001","volume":"6","author":"FM Suchanek","year":"2008","unstructured":"Suchanek, F.M., Kasneci, G., Weikum, G.: YAGO: a large ontology from wikipedia and WordNet. J. Web Sem. 6(3), 203\u2013217 (2008)","journal-title":"J. Web Sem."},{"key":"20_CR4","unstructured":"Guti\u00e9rrez-Basulto, V., Schockaert, S.: From knowledge graph embedding to ontology embedding? an analysis of the compatibility between vector space representations and rules. In: KR, pp. 379\u2013388 (2018)"},{"issue":"12","key":"20_CR5","doi-asserted-by":"publisher","first-page":"2724","DOI":"10.1109\/TKDE.2017.2754499","volume":"29","author":"Q Wang","year":"2017","unstructured":"Wang, Q., Mao, Z., Wang, B., Guo, L.: Knowledge graph embedding: a survey of approaches and applications. IEEE Trans. Knowl. Data Eng. 29(12), 2724\u20132743 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"20_CR6","unstructured":"Weston, J., Bordes, A., Yakhnenko, O., Usunier, N.: Connecting language and knowledge bases with embedding models for relation extraction. In: EMNLP, pp. 1366\u20131371 (2013)"},{"key":"20_CR7","unstructured":"Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: NIPS, pp. 2787\u20132795 (2013)"},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zhang, J., Feng, J., Chen, Z.: Knowledge graph embedding by translating on hyperplanes. In: AAAI, pp. 1112\u20131119 (2014)","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Lin, Y., Liu, Z., Sun, M., Liu, Y., Zhu, X.: Learning entity and relation embeddings for knowledge graph completion. In: AAAI, pp. 2181\u20132187 (2015)","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"20_CR10","unstructured":"Nickel, M., Tresp, V., Kriegel, H.-P.: A three-way model for collective learning on multi-relational data. In: ICML, pp. 809\u2013816 (2011)"},{"key":"20_CR11","unstructured":"Yang, B., Yih, W.-T., He, X., Gao, J., Deng, L.: Embedding Entities and Relations for Learning and Inference in Knowledge Bases. CoRR, abs\/1412.6575 (2014)"},{"key":"20_CR12","doi-asserted-by":"crossref","unstructured":"Nickel, M., Rosasco, L., Poggio, T.A., et al.: Holographic embeddings of knowledge graphs. In: AAAI, pp. 1955\u20131961 (2016)","DOI":"10.1609\/aaai.v30i1.10314"},{"key":"20_CR13","unstructured":"Trouillon, T., Welbl, J., Riedel, S., Gaussier, \u00c9., Bouchard, G.: Complex embeddings for simple link prediction. In: ICML, pp. 2071\u20132080 (2016)"},{"key":"20_CR14","unstructured":"Diaz, G.I., Fokoue, A., Sadoghi, M.: EmbedS: scalable, ontology-aware graph embeddings. In: EBDT, pp. 433\u2013436 (2018)"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Lv, X., Hou, L., Li, J., Liu, Z.: Differentiating concepts and instances for knowledge graph embedding. In: EMNLP, pp. 1971\u20131979 (2018)","DOI":"10.18653\/v1\/D18-1222"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Fu, X., Qi, G., Zhang, Y., Zhou, Z.: Graph-based approaches to debugging and revision of terminologies in DL-Lite. Knowl.-Based Syst. 100, 1\u201312 (2016)","DOI":"10.1016\/j.knosys.2016.01.039"},{"key":"20_CR17","unstructured":"Socher, R., Chen, D., Manning, C.D., Ng, A.: Reasoning with neural tensor networks for knowledge base completion. In: NIPS, pp. 926\u2013934 (2013)"},{"key":"20_CR18","doi-asserted-by":"crossref","unstructured":"Bordes, A., Weston, J., Collobert, R., Bengio, Y.: Learning structured embeddings of knowledge bases. In: AAAI, pp. 301\u2013306 (2011)","DOI":"10.1609\/aaai.v25i1.7917"},{"key":"20_CR19","unstructured":"Xiao, H., Huang, M., Hao, Y., Zhu, X.: TransA: An Adaptive Approach for Knowledge Graph Embedding. CoRR, abs\/1509.05490 (2015)"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Ji, G., He, S., Xu, L., Liu, K., Zhao, J.: Knowledge graph embedding via dynamic mapping matrix. In: ACL, pp. 687\u2013696 (2015)","DOI":"10.3115\/v1\/P15-1067"},{"key":"20_CR21","doi-asserted-by":"crossref","unstructured":"Dong, X., et al.: Knowledge vault: a web-scale approach to probabilistic knowledge fusion. In: SIGKDD, pp. 601\u2013610 (2014)","DOI":"10.1145\/2623330.2623623"},{"key":"20_CR22","unstructured":"Liu, Q., et al.: Probabilistic Reasoning via Deep Learning: Neural Association Models. CoRR, abs\/1603.07704 (2016)"},{"key":"20_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/978-3-319-93417-4_38","volume-title":"The Semantic Web","author":"M Schlichtkrull","year":"2018","unstructured":"Schlichtkrull, M., Kipf, T.N., Bloem, P., van\u00a0den Berg, R., Titov, I., Welling, M.: Modeling relational data with graph convolutional networks. In: Gangemi, A., et al. (eds.) ESWC 2018. LNCS, vol. 10843, pp. 593\u2013607. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-93417-4_38"},{"key":"20_CR24","doi-asserted-by":"crossref","unstructured":"Shi, B., Weninger, T.: ProjE: embedding projection for knowledge graph completion. In: AAAI, pp. 1236\u20131242 (2017)","DOI":"10.1609\/aaai.v31i1.10677"},{"key":"20_CR25","doi-asserted-by":"crossref","unstructured":"Dettmers, T., Minervini, P., Stenetorp, P., Riedel, S.: Convolutional 2D knowledge graph embeddings. In: AAAI, pp. 1811\u20131818 (2018)","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"20_CR26","doi-asserted-by":"crossref","unstructured":"Chen, M., Tian, Y., Chen, X., Xue, Z., Zaniolo, C.: On2Vec: embedding-based relation prediction for ontology population. In: SIAM, pp. 315\u2013323 (2018)","DOI":"10.1137\/1.9781611975321.36"},{"key":"20_CR27","doi-asserted-by":"crossref","unstructured":"Guo, S., Wang, Q., Wang, L., Wang, B., Guo, L.: Jointly embedding knowledge graphs and logical rules. In: EMNLP, pp. 192\u2013202 (2016)","DOI":"10.18653\/v1\/D16-1019"},{"key":"20_CR28","doi-asserted-by":"crossref","unstructured":"Guo, S., Wang, Q., Wang, L., Wang, B., Guo, L.: Knowledge graph embedding with iterative guidance from soft rules. In: AAAI, pp. 4816\u20134823 (2018)","DOI":"10.1609\/aaai.v32i1.11918"},{"key":"20_CR29","doi-asserted-by":"crossref","unstructured":"Noy, N.F., Musen, M.A., Mejino Jr, J.L.V., Rosse, C.: Pushing the envelope: challenges in a frame-based representation of human anatomy. Data Knowl. Eng. 48(3), 335\u2013359 (2004)","DOI":"10.1016\/j.datak.2003.06.002"},{"issue":"6","key":"20_CR30","doi-asserted-by":"publisher","first-page":"1337","DOI":"10.3233\/IDA-173514","volume":"22","author":"H Gao","year":"2018","unstructured":"Gao, H., Qi, G., Ji, Q.: Schema induction from incomplete semantic data. Intell. Data Anal. 22(6), 1337\u20131353 (2018)","journal-title":"Intell. Data Anal."},{"key":"20_CR31","doi-asserted-by":"crossref","unstructured":"Han, X., et al.: OpenKE: an open toolkit for knowledge embedding. In: EMNLP, pp. 139\u2013144 (2018)","DOI":"10.18653\/v1\/D18-2024"},{"key":"20_CR32","doi-asserted-by":"crossref","unstructured":"Xie, R., Liu, Z., Lin, F., Lin, L.: Does william shakespeare really write hamlet? knowledge representation learning with confidence. In: AAAI, pp. 4954\u20134961 (2018)","DOI":"10.1609\/aaai.v32i1.11924"},{"key":"20_CR33","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1007\/978-3-030-00671-6_30","volume-title":"The Semantic Web \u2013 ISWC 2018","author":"M Wang","year":"2018","unstructured":"Wang, M., Wang, R., Liu, J., Chen, Y., Zhang, L., Qi, G.: Towards empty answers in SPARQL: approximating querying with RDF embedding. In: Vrande\u010di\u0107, D., et al. (eds.) ISWC 2018. LNCS, vol. 11136, pp. 513\u2013529. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00671-6_30"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Chinese Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32233-5_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T18:06:00Z","timestamp":1710353160000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-32233-5_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030322328","9783030322335"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32233-5_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"30 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NLPCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF International Conference on Natural Language Processing and Chinese Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dunhuang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nlpcc2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tcci.ccf.org.cn\/conference\/2019\/","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":"softconf","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"492","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":"85","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":"56","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":"17% - 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":"3","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","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}