{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T12:48:29Z","timestamp":1743079709979,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031434570"},{"type":"electronic","value":"9783031434587"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-43458-7_43","type":"book-chapter","created":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T04:02:21Z","timestamp":1697774541000},"page":"244-254","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Semantic and\u00a0Efficient Symbolic Learning over\u00a0Knowledge Graphs"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1442-335X","authenticated-orcid":false,"given":"Disha","family":"Purohit","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"key":"43_CR1","doi-asserted-by":"publisher","unstructured":"Abedjan, Z., Lorey, J., Naumann, F.: Reconciling ontologies and the web of data. In: ACM CIKM 2012 (2012). https:\/\/doi.org\/10.1145\/2396761.2398467","DOI":"10.1145\/2396761.2398467"},{"key":"43_CR2","doi-asserted-by":"publisher","unstructured":"Agrawal, R., Imieli\u0144ski, T., Swami, A.: Mining association rules between sets of items in large databases. In: ACM SIGMOD (1993). https:\/\/doi.org\/10.1145\/170035.170072","DOI":"10.1145\/170035.170072"},{"key":"43_CR3","doi-asserted-by":"publisher","unstructured":"Agrawal, R., Imieli\u0144ski, T., Swami, A.: Mining association rules between sets of items in large databases. SIGMOD Rec. (1993). https:\/\/doi.org\/10.1145\/170036.170072","DOI":"10.1145\/170036.170072"},{"key":"43_CR4","unstructured":"Beall, J., Restall, G., Sagi, G.: Logical consequence. In: The Stanford Encyclopedia of Philosophy (2019)"},{"key":"43_CR5","unstructured":"Brickley, D., Guha, R.V.: RDF schema 1.1. W3C recommendation. World Wide Web Consortium (2014)"},{"key":"43_CR6","doi-asserted-by":"crossref","unstructured":"Gal\u00e1rraga, L., Teflioudi, C., Hose, K., Suchanek, F.: Fast rule mining in ontological knowledge bases with AMIE+. VLDB J. (2015). https:\/\/hal-imt.archives-ouvertes.fr\/hal-01699866","DOI":"10.1007\/s00778-015-0394-1"},{"key":"43_CR7","doi-asserted-by":"publisher","unstructured":"Gal\u00e1rraga, L.A., Preda, N., Suchanek, F.M.: Mining rules to align knowledge bases. In: Automated Knowledge Base Construction (2013). https:\/\/doi.org\/10.1145\/2509558.2509566","DOI":"10.1145\/2509558.2509566"},{"key":"43_CR8","doi-asserted-by":"publisher","unstructured":"Gal\u00e1rraga, L., Teflioudi, C., Hose, K., Suchanek, F.: AMIE: association rule mining under incomplete evidence in ontological knowledge bases. In: WWW 2013 (2013). https:\/\/doi.org\/10.1145\/2488388.2488425","DOI":"10.1145\/2488388.2488425"},{"key":"43_CR9","doi-asserted-by":"crossref","unstructured":"Han, J., et al.: DBMiner: a system for data mining in relational databases and data warehouses. In: CASCON Conference (1997)","DOI":"10.1145\/233269.280356"},{"key":"43_CR10","unstructured":"Hitzler, P., Kr\u00f6tzsch, M., Parsia, B., Patel-Schneider, P.F., Rudolph, S.: OWL 2 Web Ontology Language Primer, 2nd edn. W3C Recommendation, World Wide Web Consortium (2012)"},{"key":"43_CR11","doi-asserted-by":"publisher","unstructured":"Hogan, A., et al.: Knowledge Graphs (2021). https:\/\/doi.org\/10.2200\/S01125ED1V01Y202109DSK022","DOI":"10.2200\/S01125ED1V01Y202109DSK022"},{"key":"43_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.05.180","author":"M Kaur","year":"2016","unstructured":"Kaur, M., Kang, S.: Market basket analysis: identify the changing trends of market data using association rule mining. Procedia Comput. Sci. (2016). https:\/\/doi.org\/10.1016\/j.procs.2016.05.180","journal-title":"Procedia Comput. Sci."},{"key":"43_CR13","doi-asserted-by":"crossref","unstructured":"Lajus, J., Gal\u00e1rraga, L., Suchanek, F.: Fast and exact rule mining with AMIE 3. In: Harth, A., et al. (eds.) The Semantic Web (2020)","DOI":"10.1007\/978-3-030-49461-2_3"},{"key":"43_CR14","doi-asserted-by":"publisher","unstructured":"Meilicke, C., Chekol, M.W., Ruffinelli, D., Stuckenschmidt, H.: Anytime bottom-up rule learning for knowledge graph completion. In: IJCAI-19 (2019). https:\/\/doi.org\/10.24963\/ijcai.2019\/435","DOI":"10.24963\/ijcai.2019\/435"},{"key":"43_CR15","unstructured":"Munch, M., Dibie-Barthelemy, J., Manfredotti, C., Wuillemin, P.H.: Towards interactive causal relation discovery driven by an ontology (2018)"},{"key":"43_CR16","doi-asserted-by":"publisher","unstructured":"Sarawagi, S., Thomas, S., Agrawal, R.: Integrating association rule mining with relational database systems: alternatives and implications. SIGMOD Rec. (1998). https:\/\/doi.org\/10.1145\/276305.276335","DOI":"10.1145\/276305.276335"},{"key":"43_CR17","doi-asserted-by":"publisher","unstructured":"Simonne, L., Pernelle, N., Sa\u00efs, F., Thomopoulos, R.: Differential causal rules mining in knowledge graphs. In: ACM KCAP (2021). https:\/\/doi.org\/10.1145\/3460210.3493584","DOI":"10.1145\/3460210.3493584"},{"key":"43_CR18","doi-asserted-by":"publisher","unstructured":"Toivonen, H.: Apriori algorithm. In: Sammut, C., Webb, G.I. (eds.) Encyclopedia of Machine Learning and Data Mining (2017). https:\/\/doi.org\/10.1007\/978-1-4899-7687-1_27","DOI":"10.1007\/978-1-4899-7687-1_27"}],"container-title":["Lecture Notes in Computer Science","The Semantic Web: ESWC 2023 Satellite Events"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43458-7_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,3]],"date-time":"2024-01-03T14:05:24Z","timestamp":1704290724000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43458-7_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031434570","9783031434587"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43458-7_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"21 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ESWC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Semantic Web Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hersonissos","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 May 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"esws2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.eswc-conferences.org\/","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":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"109","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":"50","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":"46% - 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":"9","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":"9","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":"Submissions: Posters & Demos: 71 PhD Symposium: 24 Industry:14","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)"}}]}}