Matches in SemOpenAlex for { <https://semopenalex.org/work/W3202494030> ?p ?o ?g. }
- W3202494030 endingPage "110" @default.
- W3202494030 startingPage "97" @default.
- W3202494030 abstract "Entity alignment refers to associate entities in different knowledge graphs if they are semantically identical. Embedding-based entity alignment approaches encode entities in a continuous embedding space where entities are aligned based on the similarity of learned embeddings. However, there exists ambiguity and uncertainty in entity alignment caused by single alignment metric. In this paper, a fuzzy entity alignment method FuzzyEA is proposed to model the uncertainty in alignment process based on intuitionistic fuzzy set (IFS). Iterative TransE model is designed to learn relational structure of knowledge graphs, where mutual selection and error correction mechanism is proposed to enhance the effect of iteration. The alignment results obtained by name/description embedding and structure embedding are fused based on Dempster’s combination rule. Experiments on three benchmark datasets demonstrate that the proposed FuzzyEA consistently outperforms other entity alignment methods and contributes to promising improvement in alignment accuracy and discrimination ability." @default.
- W3202494030 created "2021-10-11" @default.
- W3202494030 creator A5004874964 @default.
- W3202494030 creator A5041289658 @default.
- W3202494030 creator A5042195536 @default.
- W3202494030 date "2022-01-01" @default.
- W3202494030 modified "2023-10-01" @default.
- W3202494030 title "Fuzzy entity alignment via knowledge embedding with awareness of uncertainty measure" @default.
- W3202494030 cites W1552847225 @default.
- W3202494030 cites W1980564456 @default.
- W3202494030 cites W2080133951 @default.
- W3202494030 cites W2184957013 @default.
- W3202494030 cites W2250342289 @default.
- W3202494030 cites W2283196293 @default.
- W3202494030 cites W2521367263 @default.
- W3202494030 cites W2728059831 @default.
- W3202494030 cites W2741750617 @default.
- W3202494030 cites W2759136286 @default.
- W3202494030 cites W2808284704 @default.
- W3202494030 cites W2890187992 @default.
- W3202494030 cites W2890711249 @default.
- W3202494030 cites W2891187595 @default.
- W3202494030 cites W2903963001 @default.
- W3202494030 cites W2913224127 @default.
- W3202494030 cites W2945988686 @default.
- W3202494030 cites W2949972983 @default.
- W3202494030 cites W2962916648 @default.
- W3202494030 cites W2964184366 @default.
- W3202494030 cites W2964855489 @default.
- W3202494030 cites W2966055354 @default.
- W3202494030 cites W2966126249 @default.
- W3202494030 cites W2970000781 @default.
- W3202494030 cites W2970921796 @default.
- W3202494030 cites W2977921098 @default.
- W3202494030 cites W2980525481 @default.
- W3202494030 cites W2986711944 @default.
- W3202494030 cites W2996993961 @default.
- W3202494030 cites W2997062749 @default.
- W3202494030 cites W3001896264 @default.
- W3202494030 cites W3003456796 @default.
- W3202494030 cites W3009639844 @default.
- W3202494030 cites W3012715399 @default.
- W3202494030 cites W3030216914 @default.
- W3202494030 cites W3032567415 @default.
- W3202494030 cites W3035191547 @default.
- W3202494030 cites W3036597030 @default.
- W3202494030 cites W3040301022 @default.
- W3202494030 cites W3089874281 @default.
- W3202494030 cites W3098583774 @default.
- W3202494030 cites W3106176046 @default.
- W3202494030 doi "https://doi.org/10.1016/j.neucom.2021.10.026" @default.
- W3202494030 hasPublicationYear "2022" @default.
- W3202494030 type Work @default.
- W3202494030 sameAs 3202494030 @default.
- W3202494030 citedByCount "2" @default.
- W3202494030 countsByYear W32024940302023 @default.
- W3202494030 crossrefType "journal-article" @default.
- W3202494030 hasAuthorship W3202494030A5004874964 @default.
- W3202494030 hasAuthorship W3202494030A5041289658 @default.
- W3202494030 hasAuthorship W3202494030A5042195536 @default.
- W3202494030 hasConcept C103278499 @default.
- W3202494030 hasConcept C104317684 @default.
- W3202494030 hasConcept C115961682 @default.
- W3202494030 hasConcept C124101348 @default.
- W3202494030 hasConcept C13280743 @default.
- W3202494030 hasConcept C153180895 @default.
- W3202494030 hasConcept C154945302 @default.
- W3202494030 hasConcept C162324750 @default.
- W3202494030 hasConcept C176217482 @default.
- W3202494030 hasConcept C177264268 @default.
- W3202494030 hasConcept C185592680 @default.
- W3202494030 hasConcept C185798385 @default.
- W3202494030 hasConcept C199360897 @default.
- W3202494030 hasConcept C205649164 @default.
- W3202494030 hasConcept C21547014 @default.
- W3202494030 hasConcept C2776517306 @default.
- W3202494030 hasConcept C2780009758 @default.
- W3202494030 hasConcept C2780522230 @default.
- W3202494030 hasConcept C41008148 @default.
- W3202494030 hasConcept C41608201 @default.
- W3202494030 hasConcept C55493867 @default.
- W3202494030 hasConcept C58166 @default.
- W3202494030 hasConcept C66746571 @default.
- W3202494030 hasConcept C80444323 @default.
- W3202494030 hasConceptScore W3202494030C103278499 @default.
- W3202494030 hasConceptScore W3202494030C104317684 @default.
- W3202494030 hasConceptScore W3202494030C115961682 @default.
- W3202494030 hasConceptScore W3202494030C124101348 @default.
- W3202494030 hasConceptScore W3202494030C13280743 @default.
- W3202494030 hasConceptScore W3202494030C153180895 @default.
- W3202494030 hasConceptScore W3202494030C154945302 @default.
- W3202494030 hasConceptScore W3202494030C162324750 @default.
- W3202494030 hasConceptScore W3202494030C176217482 @default.
- W3202494030 hasConceptScore W3202494030C177264268 @default.
- W3202494030 hasConceptScore W3202494030C185592680 @default.
- W3202494030 hasConceptScore W3202494030C185798385 @default.
- W3202494030 hasConceptScore W3202494030C199360897 @default.
- W3202494030 hasConceptScore W3202494030C205649164 @default.