{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T08:40:02Z","timestamp":1748076002874,"version":"3.41.0"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819755615"},{"type":"electronic","value":"9789819755622"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-981-97-5562-2_25","type":"book-chapter","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T07:01:50Z","timestamp":1729926110000},"page":"391-407","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Entity Profiling with Graph Rules"],"prefix":"10.1007","author":[{"given":"Zhenzhen","family":"Mai","sequence":"first","affiliation":[]},{"given":"Wenjun","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xueli","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xiaoyang","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Bowen","family":"Dong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,27]]},"reference":[{"key":"25_CR1","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Imielinski, T., Swami, A.N.: Mining association rules between sets of items in large databases. In: SIGMOD 1993, Washington, USA, May 26-28. pp. 207\u2013216 (1993)","DOI":"10.1145\/170036.170072"},{"issue":"3","key":"25_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3066904","volume":"50","author":"AA Barforoush","year":"2017","unstructured":"Barforoush, A.A., Shirazi, H., Emami, H.: A new classification framework to evaluate the entity profiling on the web: Past, present and future. ACM Comput. Surv. 50(3), 1\u201339 (2017)","journal-title":"ACM Comput. Surv."},{"issue":"6","key":"25_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3418896","volume":"53","author":"V Christophides","year":"2021","unstructured":"Christophides, V., Efthymiou, V., Palpanas, T.: An overview of end-to-end entity resolution for big data. ACM Comput. Surv. 53(6), 1\u201342 (2021)","journal-title":"ACM Comput. Surv."},{"key":"25_CR4","doi-asserted-by":"crossref","unstructured":"Chu, X., Fan, X., Yao, D., et\u00a0al.: Cross-network embedding for multi-network alignment. In: WWW 2019, San Francisco, USA, May 13-17. pp. 273\u2013284 (2019)","DOI":"10.1145\/3308558.3313499"},{"key":"25_CR5","doi-asserted-by":"crossref","unstructured":"Fan, W., Hu, C., Liu, X.: Discovering graph functional dependencies. In: SIGMOD 2018, Houston, TX, USA, June 10-15. pp. 427\u2013439 (2018)","DOI":"10.1145\/3183713.3196916"},{"issue":"11","key":"25_CR6","doi-asserted-by":"publisher","first-page":"1863","DOI":"10.14778\/3407790.3407795","volume":"13","author":"W Fan","year":"2020","unstructured":"Fan, W., Jin, R., Liu, M., et al.: Capturing associations in graphs. Proc. VLDB Endow. 13(11), 1863\u20131876 (2020)","journal-title":"Proc. VLDB Endow."},{"key":"25_CR7","unstructured":"Fan, W., Lu, P.: Dependencies for graphs. In: PODS 2017, Chicago, IL, USA, May 14-19. pp. 403\u2013416 (2017)"},{"issue":"12","key":"25_CR8","first-page":"1502","volume":"8","author":"W Fan","year":"2015","unstructured":"Fan, W., Wang, X., Wu, Y., et al.: Association rules with graph patterns. PVLDB 8(12), 1502\u20131513 (2015)","journal-title":"Association rules with graph patterns. PVLDB"},{"key":"25_CR9","doi-asserted-by":"crossref","unstructured":"Fan, W., Wu, Y., Xu, J., et\u00a0al.: Functional dependencies for graphs. In: SIGMOD 2016, San Francisco, CA, USA, June 26 - July 01, 2016. pp. 1843\u20131857","DOI":"10.1145\/2882903.2915232"},{"issue":"6","key":"25_CR10","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/s00778-015-0394-1","volume":"24","author":"L Gal\u00e1rraga","year":"2015","unstructured":"Gal\u00e1rraga, L., Teflioudi, C., Hose, K., et al.: Fast rule mining in ontological knowledge bases with AMIE+. VLDB J. 24(6), 707\u2013730 (2015)","journal-title":"VLDB J."},{"key":"25_CR11","unstructured":"Kazemi, S.M., Poole, D.: Simple embedding for link prediction in knowledge graphs. In: NeurIPS 2018, Montr\u00e9al, Canada, December 3-8. pp. 4289\u20134300 (2018)"},{"issue":"6","key":"25_CR12","doi-asserted-by":"publisher","first-page":"653","DOI":"10.14778\/3311880.3311883","volume":"12","author":"S Kwashie","year":"2019","unstructured":"Kwashie, S., Liu, J., Li, J.: Certus: An effective entity resolution approach with graph differential dependencies (gdds). Proc. VLDB Endow. 12(6), 653\u2013666 (2019)","journal-title":"Proc. VLDB Endow."},{"key":"25_CR13","unstructured":"Lao, N., Mitchell, T.M., Cohen, W.W.: Random walk inference and learning in A large scale knowledge base. In: EMNLP 2011, John McIntyre Conference Centre, Edinburgh, UK. pp. 529\u2013539 (2011)"},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Liu, X., Hong, H., Wang, X., et\u00a0al.: Selfkg: Self-supervised entity alignment in knowledge graphs. In: ACM 2022, Virtual Event, Lyon, France. pp. 860\u2013870 (2022)","DOI":"10.1145\/3485447.3511945"},{"key":"25_CR15","doi-asserted-by":"crossref","unstructured":"Sadri, F., Ullman, J.D.: The interaction between functional dependencies and template dependencies. In: SIGMOD 1980, California, USA, May 14-16 (1980)","DOI":"10.1145\/582257.582258"},{"key":"25_CR16","unstructured":"Sun, Z., Deng, Z., Nie, J., et\u00a0al.: Rotate: Knowledge graph embedding by relational rotation in complex space. In: ICLR 2019, New Orleans, LA, USA, May 6-9 (2019)"},{"key":"25_CR17","unstructured":"Trouillon, T., Welbl, J., Riedel, S., et\u00a0al.: Complex embeddings for simple link prediction. In: ICML 2016, New York City, USA, June 19-24. pp. 2071\u20132080 (2016)"},{"issue":"200","key":"25_CR18","first-page":"1","volume":"44","author":"S Varma","year":"2019","unstructured":"Varma, S., Sameer, N., Chowdary, C.R.: ReLiC: Entity profiling by using random forest and trustworthiness of a source. S\u0101dhan\u0101 44(200), 1\u201313 (2019)","journal-title":"S\u0101dhan\u0101"},{"issue":"3","key":"25_CR19","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/s41019-022-00188-2","volume":"7","author":"H Wu","year":"2022","unstructured":"Wu, H., Song, C., Ge, Y., et al.: Link prediction on complex networks: An experimental survey. Data Sci. Eng. 7(3), 253\u2013278 (2022)","journal-title":"Data Sci. Eng."},{"key":"25_CR20","unstructured":"Zhang, W., Paudel, B., Zhang, W.: Interaction embeddings for prediction and explanation in knowledge graphs. In: WSDM 2019, Melbourne, VIC, Australia, February 11-15. pp. 96\u2013104 (2019)"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5562-2_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T08:00:42Z","timestamp":1748073642000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5562-2_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819755615","9789819755622"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5562-2_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gifu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 July 2024","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":"dasfaa2024a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dasfaa2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}