{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T10:04:48Z","timestamp":1775815488374,"version":"3.50.1"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030006709","type":"print"},{"value":"9783030006716","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-00671-6_5","type":"book-chapter","created":{"date-parts":[[2018,9,17]],"date-time":"2018-09-17T22:33:02Z","timestamp":1537223582000},"page":"72-90","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["Rule Learning from Knowledge Graphs Guided by Embedding Models"],"prefix":"10.1007","author":[{"given":"Vinh Thinh","family":"Ho","sequence":"first","affiliation":[]},{"given":"Daria","family":"Stepanova","sequence":"additional","affiliation":[]},{"given":"Mohamed H.","family":"Gad-Elrab","sequence":"additional","affiliation":[]},{"given":"Evgeny","family":"Kharlamov","sequence":"additional","affiliation":[]},{"given":"Gerhard","family":"Weikum","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,18]]},"reference":[{"issue":"2","key":"5_CR1","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1145\/170036.170072","volume":"22","author":"R Agrawal","year":"1993","unstructured":"Agrawal, R., Imieli\u0144ski, T., Swami, A.: Mining association rules between sets of items in large databases. SIGMOD Rec. 22(2), 207\u2013216 (1993)","journal-title":"SIGMOD Rec."},{"key":"5_CR2","unstructured":"Bordes, A., Usunier, N., Garc\u00eda-Dur\u00e1n, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Proceedings of NIPS, pp. 2787\u20132795 (2013)"},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Chen, Y., Goldberg, S., Wang, D.Z., Johri, S.S.: Ontological pathfinding. In: SIGMOD (2016)","DOI":"10.1145\/2882903.2882954"},{"key":"5_CR4","unstructured":"Cohen, W.W.: Tensorlog: a differentiable deductive database. CoRR, abs\/1605.06523 (2016)"},{"key":"5_CR5","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/978-3-642-22359-4_17","volume-title":"Computational Logic in Multi-Agent Systems","author":"D Corapi","year":"2011","unstructured":"Corapi, D., Sykes, D., Inoue, K., Russo, A.: Probabilistic rule learning in nonmonotonic domains. In: Leite, J., Torroni, P., \u00c5gotnes, T., Boella, G., van der Torre, L. (eds.) CLIMA 2011. LNCS (LNAI), vol. 6814, pp. 243\u2013258. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-22359-4_17"},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"d\u2019Amato, C., Staab, S., Tettamanzi, A.G., Minh, T.D., Gandon, F.: Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases. In: SAC, pp. 333\u2013338 (2016)","DOI":"10.1145\/2851613.2851842"},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1613\/jair.5714","volume":"61","author":"R Evans","year":"2018","unstructured":"Evans, R., Grefenstette, E.: Learning explanatory rules from noisy data. J. Artif. Intell. Res. 61, 1\u201364 (2018)","journal-title":"J. Artif. Intell. Res."},{"key":"5_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1007\/978-3-319-21542-6_4","volume-title":"Rule Technologies: Foundations, Tools, and Applications","author":"J F\u00fcrnkranz","year":"2015","unstructured":"F\u00fcrnkranz, J., Kliegr, T.: A brief overview of rule learning. In: Bassiliades, N., Gottlob, G., Sadri, F., Paschke, A., Roman, D. (eds.) RuleML 2015. LNCS, vol. 9202, pp. 54\u201369. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-21542-6_4"},{"key":"5_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-46523-4_15","volume-title":"The Semantic Web \u2013 ISWC 2016","author":"MH Gad-Elrab","year":"2016","unstructured":"Gad-Elrab, M.H., Stepanova, D., Urbani, J., Weikum, G.: Exception-enriched rule learning from knowledge graphs. In: Groth, P., et al. (eds.) ISWC 2016. LNCS, vol. 9981, pp. 234\u2013251. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46523-4_15"},{"issue":"6","key":"5_CR10","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/s00778-015-0394-1","volume":"24","author":"L Galarraga","year":"2015","unstructured":"Galarraga, L., Teflioudi, C., Hose, K., Suchanek, F.M.: Fast rule mining in ontological knowledge bases with AMIE+. VLDB J. 24(6), 707\u2013730 (2015)","journal-title":"VLDB J."},{"key":"5_CR11","unstructured":"Gelfond, M., Lifschitz, V.: The stable model semantics for logic programming. In: ICLP\/SLP, pp. 1070\u20131080. MIT Press (1988)"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Glorot, X., Bordes, A., Weston, J., Bengio, Y.: A semantic matching energy function for learning with multi-relational data. CoRR, abs\/1301.3485 (2013)","DOI":"10.1007\/s10994-013-5363-6"},{"key":"5_CR13","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/3-540-45728-3_10","volume-title":"Pattern Detection and Discovery","author":"B Goethals","year":"2002","unstructured":"Goethals, B., Van den Bussche, J.: Relational association rules: getting Warmer. In: Hand, D.J., Adams, N.M., Bolton, R.J. (eds.) Pattern Detection and Discovery. LNCS (LNAI), vol. 2447, pp. 125\u2013139. Springer, Heidelberg (2002). https:\/\/doi.org\/10.1007\/3-540-45728-3_10"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Guo, S., Wang, Q., Wang, L., Wang, B., Guo, L.: Jointly embedding knowledge graphs and logical rules. In: EMNLP (2016)","DOI":"10.18653\/v1\/D16-1019"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Guo, S., Wang, Q., Wang, L., Wang, B., Guo, L.: Knowledge graph embedding with iterative guidance from soft rules. CoRR, abs\/1711.11231 (2017)","DOI":"10.1609\/aaai.v32i1.11918"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Kharlamov, E., et al.: Semantic rules for machine diagnostics: execution and management. In: CIKM, pp. 2131\u20132134 (2017)","DOI":"10.1145\/3132847.3133159"},{"issue":"1","key":"5_CR17","first-page":"71","volume":"32","author":"S Kotsiantis","year":"2006","unstructured":"Kotsiantis, S., Kanellopoulos, D.: Association rules mining: a recent overview. GESTS Int. Trans. CS Eng. 32(1), 71\u201382 (2006)","journal-title":"GESTS Int. Trans. CS Eng."},{"key":"5_CR18","unstructured":"Mannila, H., Toivonen, H., Verkamo, A.I.: Discovering frequent episodes in sequences. In: KDD 1995 (1995)"},{"key":"5_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1007\/978-3-319-68204-4_29","volume-title":"The Semantic Web \u2013 ISWC 2017","author":"G Mehdi","year":"2017","unstructured":"Mehdi, G., et al.: Semantic rule-based equipment diagnostics. In: d\u2019Amato, C., Fernandez, M., Tamma, V., Lecue, F., Cudr\u00e9-Mauroux, P., Sequeda, J., Lange, C., Heflin, J. (eds.) ISWC 2017. LNCS, vol. 10588, pp. 314\u2013333. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68204-4_29"},{"key":"5_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1007\/978-3-319-77553-1_18","volume-title":"Genetic Programming","author":"M Duc Tran","year":"2018","unstructured":"Duc Tran, M., d\u2019Amato, C., Nguyen, B.T., Tettamanzi, A.G.B.: Comparing rule evaluation metrics for the evolutionary discovery of multi-relational association rules in the semantic web. In: Castelli, M., Sekanina, L., Zhang, M., Cagnoni, S., Garc\u00eda-S\u00e1nchez, P. (eds.) EuroGP 2018. LNCS, vol. 10781, pp. 289\u2013305. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-77553-1_18"},{"key":"5_CR21","doi-asserted-by":"crossref","unstructured":"Mitchell, T., et al.: Never-ending learning. In: AAAI (2015)","DOI":"10.1609\/aaai.v29i1.9498"},{"key":"5_CR22","doi-asserted-by":"crossref","unstructured":"Nickel, M., Rosasco, L., Poggio, T.A.: Holographic embeddings of knowledge graphs. In: AAAI (2016)","DOI":"10.1609\/aaai.v30i1.10314"},{"key":"5_CR23","unstructured":"Nickel, M., Tresp, V., Kriegel, H.-P.: A three-way model for collective learning on multi-relational data. In: ICML (2011)"},{"key":"5_CR24","unstructured":"Piatetsky-Shapiro, G.: Discovery, analysis, and presentation of strong rules. In: Knowledge Discovery in Databases, pp. 229\u2013248. AAAI\/MIT Press (1991)"},{"key":"5_CR25","unstructured":"Raedt, L.D., Dries, A., Thon, I., den Broeck, G.V., Verbeke, M.: Inducing probabilistic relational rules from probabilistic examples. In: IJCAI, pp. 1835\u20131843. AAAI Press (2015)"},{"key":"5_CR26","unstructured":"Raedt, L.D., Thon, I.: Probabilistic rule learning. In: ILP (2010)"},{"key":"5_CR27","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1007\/3-540-45372-5_70","volume-title":"Principles of Data Mining and Knowledge Discovery","author":"ZW Ras","year":"2000","unstructured":"Ras, Z.W., Wieczorkowska, A.: Action-rules: how to increase profit of a company. In: Zighed, D.A., Komorowski, J., \u017bytkow, J. (eds.) PKDD 2000. LNCS (LNAI), vol. 1910, pp. 587\u2013592. Springer, Heidelberg (2000). https:\/\/doi.org\/10.1007\/3-540-45372-5_70"},{"key":"5_CR28","unstructured":"Rastogi, P., Poliak, A., Durme, B.V.: Training relation embeddings under logical constraints. In: KG4IR (2017)"},{"key":"5_CR29","doi-asserted-by":"crossref","unstructured":"Ringsquandl, M., et al.: Event-enhanced learning for knowledge graph completion. In: ESWC (2018)","DOI":"10.1007\/978-3-319-93417-4_35"},{"key":"5_CR30","doi-asserted-by":"crossref","unstructured":"Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: Proceedings of WWW, pp. 697\u2013706 (2007)","DOI":"10.1145\/1242572.1242667"},{"key":"5_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1007\/978-3-319-68288-4_30","volume-title":"The Semantic Web \u2013 ISWC 2017","author":"TP Tanon","year":"2017","unstructured":"Tanon, T.P., Stepanova, D., Razniewski, S., Mirza, P., Weikum, G.: Completeness-aware rule learning from knowledge graphs. In: d\u2019Amato, C. (ed.) ISWC 2017. LNCS, vol. 10587, pp. 507\u2013525. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68288-4_30"},{"key":"5_CR32","doi-asserted-by":"crossref","unstructured":"Tran, H.D., Stepanova, D., Gad-Elrab, M.H., Lisi, F.A., Weikum, G.: Towards nonmonotonic relational learning from knowledge graphs. In: ILP, pp. 94\u2013107 (2016)","DOI":"10.1007\/978-3-319-63342-8_8"},{"issue":"10","key":"5_CR33","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1145\/2629489","volume":"57","author":"D Vrandecic","year":"2014","unstructured":"Vrandecic, D., Kr\u00f6tzsch, M.: Wikidata: a free collaborative knowledgebase. CACM 57(10), 78\u201385 (2014)","journal-title":"CACM"},{"issue":"12","key":"5_CR34","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":"5_CR35","unstructured":"Wang, Q., Wang, B., Guo, L.: Knowledge base completion using embeddings and rules. In: IJCAI (2015)"},{"key":"5_CR36","unstructured":"Wang, Z., Li, J.: RDF2Rules: Learning rules from RDF knowledge bases by mining frequent predicate cycles. CoRR, abs\/1512.07734 (2015)"},{"key":"5_CR37","series-title":"Intelligent Systems Reference Library","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/978-3-642-40017-9_7","volume-title":"Machine Learning in Healthcare Informatics","author":"J Wojtusiak","year":"2014","unstructured":"Wojtusiak, J.: Rule learning in healthcare and health services research. In: Dua, S., Acharya, U.R., Dua, P. (eds.) Machine Learning in Healthcare Informatics. ISRL, vol. 56, pp. 131\u2013145. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-642-40017-9_7"},{"key":"5_CR38","doi-asserted-by":"crossref","unstructured":"Xiao, H., Huang, M., Meng, L., Zhu, X.: SSP: semantic space projection for knowledge graph embedding with text descriptions. In: AAAI (2017)","DOI":"10.1609\/aaai.v31i1.10952"},{"key":"5_CR39","unstructured":"Yang, B., Yih, W., He, X., Gao, J., Deng, L.: Embedding entities and relations for learning and inference in knowledge bases. CoRR, abs\/1412.6575 (2014)"},{"key":"5_CR40","unstructured":"Yang, F., Yang, Z., Cohen, W.W.: Differentiable learning of logical rules for knowledge base reasoning. In: NIPS, pp. 2316\u20132325 (2017)"},{"key":"5_CR41","doi-asserted-by":"crossref","unstructured":"Zupanc, K., Davis, J.: Estimating rule quality for knowledge base completion with the relationship between coverage assumption. In: WWW 2018, pp. 1073\u20131081 (2018)","DOI":"10.1145\/3178876.3186006"}],"container-title":["Lecture Notes in Computer Science","The Semantic Web \u2013 ISWC 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00671-6_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:45:44Z","timestamp":1709833544000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00671-6_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030006709","9783030006716"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00671-6_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"18 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISWC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Semantic Web Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Monterey, CA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"semweb2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iswc2018.semanticweb.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}