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However, most natural language processing-based techniques have focused on developing monolingual matching algorithms, often ignoring context knowledge and external domain-based sources, which lead to incomplete and inaccurate matching results in a multilingual environment. The purpose of this study is to propose an adaptive semantic matching method with context knowledge and user involvement as two new dimensions for matching the semantically related entities ontologies. We present a comprehensive evaluation of our solution by applying it in a multilingual e-commerce platform case study, which performed well on matching accuracy. <\/jats:p>","DOI":"10.1142\/s1793351x23500034","type":"journal-article","created":{"date-parts":[[2023,6,10]],"date-time":"2023-06-10T05:51:35Z","timestamp":1686376295000},"page":"435-453","source":"Crossref","is-referenced-by-count":1,"title":["Adaptive Semantic Matching in a Multilingual Context"],"prefix":"10.1142","volume":"17","author":[{"given":"Zhan","family":"Liu","sequence":"first","affiliation":[{"name":"Institute of Informatics, University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis), Techno-Pole 3, 3960 Sierre, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicole","family":"Glassey Balet","sequence":"additional","affiliation":[{"name":"Institute of Informatics, University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis), Techno-Pole 3, 3960 Sierre, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"219","published-online":{"date-parts":[[2023,7,26]]},"reference":[{"key":"S1793351X23500034BIB001","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.websem.2003.07.003","volume":"1","author":"Melnik S.","year":"2003","journal-title":"J. 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