Larks: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace
Autonomous Agents and Multi-Agent Systems
A software framework for matchmaking based on semantic web technology
WWW '03 Proceedings of the 12th international conference on World Wide Web
Efficient Matchmaking and Directory Services
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
WSMO-MX: A Logic Programming Based Hybrid Service Matchmaker
ECOWS '06 Proceedings of the European Conference on Web Services
A System for Principled Matchmaking in an Electronic Marketplace
International Journal of Electronic Commerce
OWLS-MX: A hybrid Semantic Web service matchmaker for OWL-S services
Web Semantics: Science, Services and Agents on the World Wide Web
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
The creation and evaluation of iSPARQL strategies for matchmaking
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
A semantic distance measure for matching web services
WISE'05 Proceedings of the 2005 international conference on Web Information Systems Engineering
IEEE Transactions on Knowledge and Data Engineering
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The semantic web services (SWSs) discovery is the process of finding a service that can possibly satisfy the user requirements, choosing between several services, and composing services to form a single service. The matchmaking between the user request and SWSs is the main task of any SWSs discovery mechanism. In this paper, a semantic distance-based matchmaking algorithm (SDMA) is introduced. The idea behind SDMA is to use the measurement of the semantic distance between the user request and the tested service as an indicator of the degree of relevance between them. In addition to many proposals, a new concepts tree is proposed to perform the process of computing the semantic distance between two concepts. SDMA bases on many concept-to-concept semantic distance measures that are modified and adapted. A deep evaluation process is performed to validate the great impact of using semantic distance measures in the field of SWSs matchmaking.