{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T10:22:29Z","timestamp":1756462949622,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T00:00:00Z","timestamp":1650844800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"This work is supported by the National Natural Science Foundation of China, the Natural Science Foundation of Fujian Province , the Scientific Research Foundation of Fujian University of Technology .","award":["No. 62172095,No. 2020J01875,No. GY-Z17162"],"award-info":[{"award-number":["No. 62172095,No. 2020J01875,No. GY-Z17162"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,4,25]]},"DOI":"10.1145\/3487553.3524704","type":"proceedings-article","created":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T22:41:30Z","timestamp":1660689690000},"page":"941-947","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Word Embedding based Heterogeneous Entity Matching on Web of Things"],"prefix":"10.1145","author":[{"given":"Xingsi","family":"Xue","sequence":"first","affiliation":[{"name":"Fujian University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhua","family":"Guo","sequence":"additional","affiliation":[{"name":"Taiyuan University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,8,16]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Reina Akama Kento Watanabe Sho Yokoi Sosuke Kobayashi and Kentaro Inui. 2018. Unsupervised learning of style-sensitive word vectors. arXiv preprint arXiv:1805.05581(2018).  Reina Akama Kento Watanabe Sho Yokoi Sosuke Kobayashi and Kentaro Inui. 2018. Unsupervised learning of style-sensitive word vectors. arXiv preprint arXiv:1805.05581(2018).","DOI":"10.18653\/v1\/P18-2091"},{"key":"e_1_3_2_1_2_1","volume-title":"International Conference Europe Middle East & North Africa Information Systems and Technologies to Support Learning. Springer, 542\u2013551","author":"Ali\u00a0Khoudja Meriem","year":"2018","unstructured":"Meriem Ali\u00a0Khoudja , Messaouda Fareh , and Hafida Bouarfa . 2018 . A new supervised learning based ontology matching approach using neural networks . In International Conference Europe Middle East & North Africa Information Systems and Technologies to Support Learning. Springer, 542\u2013551 . Meriem Ali\u00a0Khoudja, Messaouda Fareh, and Hafida Bouarfa. 2018. A new supervised learning based ontology matching approach using neural networks. In International Conference Europe Middle East & North Africa Information Systems and Technologies to Support Learning. Springer, 542\u2013551."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 12th language resources and evaluation conference. 5648\u20135653","author":"Bento Alexandre","year":"2020","unstructured":"Alexandre Bento , Amal Zouaq , and Michel Gagnon . 2020 . Ontology matching using convolutional neural networks . In Proceedings of the 12th language resources and evaluation conference. 5648\u20135653 . Alexandre Bento, Amal Zouaq, and Michel Gagnon. 2020. Ontology matching using convolutional neural networks. In Proceedings of the 12th language resources and evaluation conference. 5648\u20135653."},{"key":"e_1_3_2_1_4_1","unstructured":"Daniel Cer Yinfei Yang Sheng-yi Kong Nan Hua Nicole Limtiaco Rhomni\u00a0St John Noah Constant Mario Guajardo-Cespedes Steve Yuan Chris Tar 2018. Universal sentence encoder. arXiv preprint arXiv:1803.11175(2018).  Daniel Cer Yinfei Yang Sheng-yi Kong Nan Hua Nicole Limtiaco Rhomni\u00a0St John Noah Constant Mario Guajardo-Cespedes Steve Yuan Chris Tar 2018. Universal sentence encoder. arXiv preprint arXiv:1803.11175(2018)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Ondrej Chum James Philbin Andrew Zisserman 2008. Near duplicate image detection: Min-hash and TF-IDF weighting.. In Bmvc Vol.\u00a0810. 812\u2013815.  Ondrej Chum James Philbin Andrew Zisserman 2008. Near duplicate image detection: Min-hash and TF-IDF weighting.. In Bmvc Vol.\u00a0810. 812\u2013815.","DOI":"10.5244\/C.22.50"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevD.34.1581"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2006.09.002"},{"key":"e_1_3_2_1_8_1","unstructured":"Vivek Iyer Arvind Agarwal and Harshit Kumar. 2020. Multifaceted context representation using dual attention for ontology alignment. arXiv preprint arXiv:2010.11721(2020).  Vivek Iyer Arvind Agarwal and Harshit Kumar. 2020. Multifaceted context representation using dual attention for ontology alignment. arXiv preprint arXiv:2010.11721(2020)."},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of K-CAP Workshop on Integrating Ontologies. 85\u201391","author":"Jian Ningsheng","year":"2005","unstructured":"Ningsheng Jian , Wei Hu , Gong Cheng , and Yuzhong Qu . 2005 . Falcon-ao: Aligning ontologies with falcon . In Proceedings of K-CAP Workshop on Integrating Ontologies. 85\u201391 . Ningsheng Jian, Wei Hu, Gong Cheng, and Yuzhong Qu. 2005. Falcon-ao: Aligning ontologies with falcon. In Proceedings of K-CAP Workshop on Integrating Ontologies. 85\u201391."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1072"},{"key":"e_1_3_2_1_11_1","volume-title":"Semantic Ontology Method of Learning Resource based on the Approximate Subgraph Isomorphism.Journal of Multimedia 9, 2","author":"Lili Zhang","year":"2014","unstructured":"Zhang Lili and Jinghua Ding . 2014. Semantic Ontology Method of Learning Resource based on the Approximate Subgraph Isomorphism.Journal of Multimedia 9, 2 ( 2014 ). Zhang Lili and Jinghua Ding. 2014. Semantic Ontology Method of Learning Resource based on the Approximate Subgraph Isomorphism.Journal of Multimedia 9, 2 (2014)."},{"key":"e_1_3_2_1_12_1","unstructured":"Tomas Mikolov Kai Chen Greg Corrado and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781(2013).  Tomas Mikolov Kai Chen Greg Corrado and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781(2013)."},{"key":"e_1_3_2_1_13_1","volume-title":"Distributed representations of words and phrases and their compositionality. Advances in neural information processing systems 26","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov , Ilya Sutskever , Kai Chen , Greg\u00a0 S Corrado , and Jeff Dean . 2013. Distributed representations of words and phrases and their compositionality. Advances in neural information processing systems 26 ( 2013 ). Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg\u00a0S Corrado, and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. Advances in neural information processing systems 26 (2013)."},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the first instructional conference on machine learning, Vol.\u00a0242","author":"Ramos Juan","year":"2003","unstructured":"Juan Ramos 2003 . Using tf-idf to determine word relevance in document queries . In Proceedings of the first instructional conference on machine learning, Vol.\u00a0242 . Citeseer, 29\u201348. Juan Ramos 2003. Using tf-idf to determine word relevance in document queries. In Proceedings of the first instructional conference on machine learning, Vol.\u00a0242. Citeseer, 29\u201348."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Lucy\u00a0Lu Wang Chandra Bhagavatula Mark Neumann Kyle Lo Chris Wilhelm and Waleed Ammar. 2018. Ontology alignment in the biomedical domain using entity definitions and context. arXiv preprint arXiv:1806.07976(2018).  Lucy\u00a0Lu Wang Chandra Bhagavatula Mark Neumann Kyle Lo Chris Wilhelm and Waleed Ammar. 2018. Ontology alignment in the biomedical domain using entity definitions and context. arXiv preprint arXiv:1806.07976(2018).","DOI":"10.18653\/v1\/W18-2306"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.3390\/s17020403"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12293-018-0255-8"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.03.122"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2018.2883109"},{"key":"e_1_3_2_1_20_1","volume-title":"Generative adversarial learning for optimizing ontology alignment. Expert Systems","author":"Xue Xingsi","year":"2022","unstructured":"Xingsi Xue and Qihan Huang . 2022. Generative adversarial learning for optimizing ontology alignment. Expert Systems ( 2022 ), e12936. Xingsi Xue and Qihan Huang. 2022. Generative adversarial learning for optimizing ontology alignment. Expert Systems (2022), e12936."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3115471"},{"key":"e_1_3_2_1_22_1","unstructured":"Xingsi Xue Jianhua Liu Pei-Wei Tsai Xianyin Zhan and Aihong Ren. 2015. Optimizing ontology alignment by using compact genetic algorithm. (2015) 231\u2013234.  Xingsi Xue Jianhua Liu Pei-Wei Tsai Xianyin Zhan and Aihong Ren. 2015. Optimizing ontology alignment by using compact genetic algorithm. (2015) 231\u2013234."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Xingsi Xue and Wenyu Liu. 2022. Integrating Heterogeneous Ontologies in Asian Languages Through Compact Genetic Algorithm with Annealing Re-sample Inheritance Mechanism. Transactions on Asian and Low-Resource Language Information Processing (2022) 1\u201321.  Xingsi Xue and Wenyu Liu. 2022. Integrating Heterogeneous Ontologies in Asian Languages Through Compact Genetic Algorithm with Annealing Re-sample Inheritance Mechanism. Transactions on Asian and Low-Resource Language Information Processing (2022) 1\u201321.","DOI":"10.1145\/3519298"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1049\/trit.2019.0014"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-016-1018-9"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107343"}],"event":{"name":"WWW '22: The ACM Web Conference 2022","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Virtual Event, Lyon France","acronym":"WWW '22"},"container-title":["Companion Proceedings of the Web Conference 2022"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487553.3524704","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3487553.3524704","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:22Z","timestamp":1750188622000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487553.3524704"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,25]]},"references-count":26,"alternative-id":["10.1145\/3487553.3524704","10.1145\/3487553"],"URL":"https:\/\/doi.org\/10.1145\/3487553.3524704","relation":{},"subject":[],"published":{"date-parts":[[2022,4,25]]},"assertion":[{"value":"2022-08-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}