{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T15:24:47Z","timestamp":1777562687090,"version":"3.51.4"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031109829","type":"print"},{"value":"9783031109836","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-10983-6_44","type":"book-chapter","created":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T23:03:02Z","timestamp":1658185382000},"page":"568-584","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["ECCKG: An Eventuality-Centric Commonsense Knowledge Graph"],"prefix":"10.1007","author":[{"given":"Ya","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cungen","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiwen","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,19]]},"reference":[{"issue":"15","key":"44_CR1","doi-asserted-by":"publisher","first-page":"6904","DOI":"10.1016\/j.eswa.2014.04.004","volume":"41","author":"G Glava\u0161","year":"2014","unstructured":"Glava\u0161, G., \u0160najder, J.: Event graphs for information retrieval and multi-document summarization. Expert Syst. Appl. 41(15), 6904\u20136916 (2014)","journal-title":"Expert Syst. Appl."},{"key":"44_CR2","doi-asserted-by":"crossref","unstructured":"Zhang, H., Liu, X., Pan, H., et al.: ASER: a large-scale eventuality knowledge graph. In: Proceedings of The Web Conference 2020, pp. 201\u2013211 (2020)","DOI":"10.1145\/3366423.3380107"},{"key":"44_CR3","unstructured":"Ding, X., Li, Z., Liu, T., et al.: ELG: an event logic graph. arXiv preprint arXiv:1907.08015 (2019)"},{"key":"44_CR4","doi-asserted-by":"crossref","unstructured":"Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: Proceedings of the 16th International Conference on World Wide Web, pp. 697\u2013706 (2007)","DOI":"10.1145\/1242572.1242667"},{"key":"44_CR5","first-page":"722","volume-title":"Dbpedia: A Nucleus for a Web of Open Data the Semantic Web","author":"S Auer","year":"2007","unstructured":"Auer, S., Bizer, C., Kobilarov, G., et al.: Dbpedia: A Nucleus for a Web of Open Data the Semantic Web, pp. 722\u2013735. Springer, Berlin, Heidelberg (2007)"},{"issue":"10","key":"44_CR6","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1145\/2629489","volume":"57","author":"D Vrande\u010di\u0107","year":"2014","unstructured":"Vrande\u010di\u0107, D., Kr\u00f6tzsch, M.: Wikidata: a free collaborative knowledge base. Commun. ACM 57(10), 78\u201385 (2014)","journal-title":"Commun. ACM"},{"key":"44_CR7","doi-asserted-by":"crossref","unstructured":"Mourelatos, A.: Events, processes, and states. Linguist. Philos. 2(3), 415-434 (1978)","DOI":"10.1007\/BF00149015"},{"key":"44_CR8","doi-asserted-by":"crossref","unstructured":"Speer, R., Chin, J., Havasi, C.: Conceptnet 5.5: an open multilingual graph of general knowledge. In: Thirty-first AAAI Conference on Artificial Intelligence (2017)","DOI":"10.1609\/aaai.v31i1.11164"},{"key":"44_CR9","doi-asserted-by":"crossref","unstructured":"Sap, M., Le Bras, R., Allaway, E., et al.: Atomic: An atlas of machine commonsense for if-then reasoning. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, no. 01, pp. 3027\u20133035 (2019)","DOI":"10.1609\/aaai.v33i01.33013027"},{"issue":"4","key":"44_CR10","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1023\/B:BTTJ.0000047600.45421.6d","volume":"22","author":"H Liu","year":"2004","unstructured":"Liu, H., Singh, P.: ConceptNet\u2014a practical commonsense reasoning tool-kit. BT Technol. J. 22(4), 211\u2013226 (2004)","journal-title":"BT Technol. J."},{"key":"44_CR11","doi-asserted-by":"crossref","unstructured":"Nguyen, T.P., Razniewski, S., Weikum, G.: Advanced semantics for commonsense knowledge extraction. In: Proceedings of the Web Conference 2021, pp. 2636\u20132647 (2021)","DOI":"10.1145\/3442381.3449827"},{"key":"44_CR12","doi-asserted-by":"crossref","unstructured":"Mihaylov, T., Frank, A.: Knowledgeable reader: enhancing cloze-style reading comprehension with external commonsense knowledge. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistic, pp. 821\u2013832 (2018)","DOI":"10.18653\/v1\/P18-1076"},{"key":"44_CR13","doi-asserted-by":"crossref","unstructured":"Vijayaraghavan, P., Roy, D.: Modeling human motives and emotions from personal narratives using external knowledge and entity tracking. In: Proceedings of the Web Conference 2021, pp. 529\u2013540 (2021)","DOI":"10.1145\/3442381.3449997"},{"key":"44_CR14","doi-asserted-by":"crossref","unstructured":"Bauer, L., Wang, Y., Bansal, M.: Commonsense for generative multi-hop question answering tasks. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 4220-4230 (2018)","DOI":"10.18653\/v1\/D18-1454"},{"key":"44_CR15","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Schockaert, S., Shah, J.: Predicting ConceptNet path quality using crowdsourced assessments of naturalness. In: The World Wide Web Conference, pp. 2460\u20132471 (2019)","DOI":"10.1145\/3308558.3313486"},{"key":"44_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-030-00671-6_1","volume-title":"The Semantic Web \u2013 ISWC 2018","author":"C Meilicke","year":"2018","unstructured":"Meilicke, C., Fink, M., Wang, Y., Ruffinelli, D., Gemulla, R., Stuckenschmidt, H.: Fine-grained evaluation of rule- and embedding-based systems for knowledge graph completion. In: Vrande\u010di\u0107, D., Bontcheva, K., Su\u00e1rez-Figueroa, M.C., Presutti, V., Celino, I., Sabou, M., Kaffee, L.-A., Simperl, E. (eds.) ISWC 2018. LNCS, vol. 11136, pp. 3\u201320. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00671-6_1"},{"key":"44_CR17","unstructured":"Teru, K., Denis, E., Hamilton, W.: Inductive relation prediction by subgraph reasoning. In: International Conference on Machine Learning. PMLR, pp. 9448\u20139457 (2020)"},{"key":"44_CR18","doi-asserted-by":"crossref","unstructured":"Meilicke, C., Chekol, M.W., Fink, M., et al.: Reinforced anytime bottom-up rule learning for knowledge graph completion. arXiv preprint arXiv:2004.04412 (2020)","DOI":"10.24963\/ijcai.2019\/435"},{"key":"44_CR19","unstructured":"Wang, Q., Wang, B., Guo, L.: Knowledge base completion using embeddings and rules. In: Twenty-fourth International Joint Conference on Artificial Intelligence. (2015)"},{"key":"44_CR20","unstructured":"Yang, F., Yang, Z., Cohen, W.W.: Differentiable learning of logical rules for knowledge base reasoning. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, pp. 2316\u20132325 (2017)"},{"key":"44_CR21","doi-asserted-by":"crossref","unstructured":"Gal\u00e1rraga, L.A., Teflioudi, C., Hose, K., et al.: AMIE: association rule mining under incomplete evidence in ontological knowledge bases. In: Proceedings of the 22nd International Conference on World Wide Web, pp. 413\u2013422 (2013)","DOI":"10.1145\/2488388.2488425"},{"issue":"2","key":"44_CR22","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":"44_CR23","unstructured":"Miller, G.A.: WordNet: An Electronic Lexical Database. MIT Press (1998)"},{"key":"44_CR24","doi-asserted-by":"crossref","unstructured":"Murugesan, K., Atzeni, M., Kapanipathi, P., et al.: Text-based RL agents with commonsense knowledge: new challenges, environments and baselines. In: Thirty Fifth AAAI Conference on Artificial Intelligence (2021)","DOI":"10.1609\/aaai.v35i10.17090"},{"key":"44_CR25","doi-asserted-by":"crossref","unstructured":"Chen, H., Huang, Y., Takamura, H., et al.: Commonsense knowledge aware concept selection for diverse and informative visual storytelling. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 2, pp. 999\u20131008 (2021)","DOI":"10.1609\/aaai.v35i2.16184"},{"key":"44_CR26","doi-asserted-by":"crossref","unstructured":"Wu, S., Li, Y., Zhang, D., et al.: Diverse and informative dialogue generation with context-specific commonsense knowledge awareness. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 5811\u20135820 (2020)","DOI":"10.18653\/v1\/2020.acl-main.515"},{"key":"44_CR27","doi-asserted-by":"crossref","unstructured":"Li, Z., Ding, X., Liu, T.: Constructing narrative event evolutionary graph for script event prediction. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence, pp. 4201\u20134207 (2018)","DOI":"10.24963\/ijcai.2018\/584"},{"key":"44_CR28","doi-asserted-by":"crossref","unstructured":"Mostafazadeh, N., Kalyanpur, A., Moon, L., et al.: GLUCOSE: generalized and contextualized story explanations. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 4569-4586 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.370"},{"key":"44_CR29","doi-asserted-by":"crossref","unstructured":"Zhao, S., Wang, Q., Massung, S., et al.: Constructing and embedding abstract event causality networks from text snippets. In: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, pp. 335\u2013344 (2017)","DOI":"10.1145\/3018661.3018707"},{"key":"44_CR30","doi-asserted-by":"crossref","unstructured":"Gottschalk, S., Demidova, E.: Eventkg: a multilingual eventuality-centric temporal knowledge graph. In: European Semantic Web Conference, pp. 272-287. Springer, Cham (2018)","DOI":"10.1007\/978-3-319-93417-4_18"},{"key":"44_CR31","doi-asserted-by":"crossref","unstructured":"Tandon, N., De Melo, G., De, A., et al.: Knowlywood: mining activity knowledge from hollywood narratives. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp. 223\u2013232 (2015)","DOI":"10.1145\/2806416.2806583"},{"key":"44_CR32","doi-asserted-by":"crossref","unstructured":"Heist, N., Paulheim, H.: Information extraction from co-occurring similar entities. In: Proceedings of the Web Conference 2021, pp. 3999\u20134009 (2021)","DOI":"10.1145\/3442381.3449836"},{"key":"44_CR33","first-page":"15347","volume":"32","author":"A Sadeghian","year":"2019","unstructured":"Sadeghian, A., Armandpour, M., Ding, P., et al.: DRUM: end-to-end differentiable rule mining on knowledge graphs. Adv. Neural. Inf. Process. Syst. 32, 15347\u201315357 (2019)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"44_CR34","doi-asserted-by":"crossref","unstructured":"Ortona, S., Meduri, V.V., Papotti, P.: Robust discovery of positive and Negative rules in knowledge bases. In: 2018 IEEE 34th International Conference on Data Engineering (ICDE), pp. 1168\u20131179. IEEE (2018)","DOI":"10.1109\/ICDE.2018.00108"},{"key":"44_CR35","doi-asserted-by":"crossref","unstructured":"Omran, P.G., Wang, K., Wang, Z.: Scalable rule learning via learning representation. In: IJCAI, pp. 2149\u20132155 (2018)","DOI":"10.24963\/ijcai.2018\/297"},{"issue":"2","key":"44_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3424672","volume":"15","author":"A Rossi","year":"2021","unstructured":"Rossi, A., Barbosa, D., Firmani, D., et al.: Knowledge graph embedding for link prediction: a comparative analysis. ACM Trans. Knowl. Discov. Data (TKDD) 15(2), 1\u201349 (2021)","journal-title":"ACM Trans. Knowl. Discov. Data (TKDD)"},{"key":"44_CR37","doi-asserted-by":"crossref","unstructured":"Rosso, P., Yang, D., Cudr\u00e9-Mauroux, P.: Beyond triplets: hyper-relational knowledge graph embedding for link prediction. In: Proceedings of The Web Conference 2020, pp. 1885\u20131896 (2020)","DOI":"10.1145\/3366423.3380257"},{"key":"44_CR38","doi-asserted-by":"crossref","unstructured":"Wang, Z., Yang, J., Ye, X.: Knowledge graph alignment with entity-pair embedding. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1672\u20131680 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.130"},{"key":"44_CR39","doi-asserted-by":"crossref","unstructured":"Hwang, J.D., Bhagavatula, C., Le Bras, R., et al.: (Comet-) Atomic 2020: on symbolic and neural commonsense knowledge graphs. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 7, pp. 6384\u20136392 (2021)","DOI":"10.1609\/aaai.v35i7.16792"},{"issue":"4","key":"44_CR40","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1177\/0146167202287009","volume":"28","author":"EL Zurbriggen","year":"2002","unstructured":"Zurbriggen, E.L., Sturman, T.S.: Linking motives and emotions: a test of Mcclelland\u2019s hypotheses. Pers. Soc. Psychol. Bull. 28(4), 521\u2013535 (2002)","journal-title":"Pers. Soc. Psychol. Bull."},{"key":"44_CR41","unstructured":"Usage Dictionary of Chinese Adjectives. Commercial Press (2003)"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-10983-6_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,29]],"date-time":"2024-09-29T10:23:08Z","timestamp":1727605388000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-10983-6_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031109829","9783031109836"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-10983-6_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"19 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ksem22.smart-conf.net\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"498","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":"169","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":"0","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":"34% - 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":"10","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)"}}]}}