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| Titre: | Web apis composition based on Knowledge Graph Word Embedding and Entity Linking |
| Auteur(s): | Boustil, Amel
Tabet, Youcef |
| Mots-clés: | Composition
Entity linking
Knowledge base
Web API
Word Embedding |
| Date de publication: | 2023 |
| Editeur: | Institute of Electrical and Electronics Engineers Inc |
| Collection/Numéro: | 2023 5th International Conference on Pattern Analysis and Intelligent Systems (PAIS), Sétif, Algeria, 2023; pp. 1-8 |
| Résumé: | Relying on ontological relationships which ensure the matching between parameters of Web API operations (inputs and outputs) is not enough to achieve semantic composition in the context of a Knowledge base (KB). In this paper, these parameters of Web API operations are related to entities of a given KB and the word embedding is integrated with the semantic ontological relationships between these entities to extend the user query to their similar entities. Extending the query by equivalent, plugIn, and contextual entities guides the process of generating the dependency graph composition. Our composition approach adds semantics and enhances the matchmaking algorithm within the KB context. Grounded on a developed dataset, our experiments show the accuracy of our composition algorithm. |
| URI/URL: | 10.1109/PAIS60821.2023.10322016
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/12768
https://ieeexplore.ieee.org/document/10322016 |
| ISBN: | 979-835038145-0 |
| Collection(s) : | Communications Internationales
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