{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T09:24:54Z","timestamp":1783416294305,"version":"3.54.6"},"reference-count":0,"publisher":"Agora University of Oradea","issue":"4","license":[{"start":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T00:00:00Z","timestamp":1783382400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["INT J COMPUT COMMUN, Int. J. Comput. Commun. Control"],"abstract":"<jats:p>Entity alignment across multi-source knowledge bases is frequently hindered by the problem of \u2019heterogeneous names but equivalent semantics,\u2019 a challenge that becomes particularly acute in domains with specialized nomenclature and rare characters, such as cultural relics. To address this universal issue, this paper proposes a joint-embedding framework, MulF-ELMo-BERT, suitable for entity alignment in cultural relic knowledge graphs. This framework integrates multi-dimensional features such as entity names, attributes, summaries, and full-text texts, achieving comprehensive extraction of entity features from four levels: characters, words, sentences, and paragraphs. It effectively filters out weakly relevant entities and breaks through the limitations of semantic representation relying solely on a single feature. Given the dense presence of rare characters and specialized terms in cultural relic entity names, the ELMo context-aware word embedding model is introduced. It can dynamically adjust the vector representation of rare words based on their context, significantly enhancing semantic adaptability. Meanwhile, a Chinese BERT model with an integrated whole-word masking strategy is adopted to avoid local co-occurrence interference<\/jats:p>","DOI":"10.15837\/ijccc.2026.4.7233","type":"journal-article","created":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T08:48:30Z","timestamp":1783414110000},"source":"Crossref","is-referenced-by-count":0,"title":["A joint-embedding framework fusing multi-feature information for cultural relic entity alignment in knowledge graphs"],"prefix":"10.15837","volume":"21","author":[{"given":"Min","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luya","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaxian","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"6528","published-online":{"date-parts":[[2026,7,7]]},"container-title":["INTERNATIONAL JOURNAL OF COMPUTERS  COMMUNICATIONS &amp; CONTROL"],"original-title":[],"deposited":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T08:48:31Z","timestamp":1783414111000},"score":1,"resource":{"primary":{"URL":"https:\/\/univagora.ro\/jour\/index.php\/ijccc\/article\/view\/7233"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,7]]},"references-count":0,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2026,7,7]]}},"URL":"https:\/\/doi.org\/10.15837\/ijccc.2026.4.7233","relation":{},"ISSN":["1841-9844","1841-9836"],"issn-type":[{"value":"1841-9844","type":"electronic"},{"value":"1841-9836","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7,7]]}}}