Semantic Web Service Discovery Framework using Multi-Agents System and NLP Techniques
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4
Abstract
As a consequently increase amount of web services available on the web, automatic discovery presents a great challenge, in order to satisfy this requirement, semantic discovery approaches based on ontologies have been developed. However, endusers do not have knowledge about semantic web languages to express their requirements. In this paper, we propose an automatic discovery framework based on multiagent systems and natural language processing techniques to match a user request. The framework allows semantic matching through a set of semantic web services in order to enhance the accuracy of the discovery pattern, and to find a relevant match to the user request composed of keywords written in natural language. The use of multiagent systems provide us the possibility to decrease the runtime by parallelizing simultaneous tasks, also, to implement various natural language processing techniques and matchmaking algorithms, and finally, they allow us to measure the users satisfaction through their behaviors dashboard analyze.
Authors and Affiliations
A. Essayah, M. Youssfi, K. Mansouri
Keywords
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- EP ID EP308535
- DOI 10.14738/tmlai.54.3183
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