A Semantic Web Services-based approach for production systems control
Advanced Engineering Informatics
Taking the LIDS off data silos
Proceedings of the 6th International Conference on Semantic Systems
Discovering Semantic Web services using SPARQL and intelligent agents
Web Semantics: Science, Services and Agents on the World Wide Web
Fostering a relationship between linked data and the internet of services
The future internet
Integrating linked data and services with linked data services
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
A model of user preferences for semantic services discovery and ranking
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Empower service directories with knowledge
Knowledge-Based Systems
Improving semantic web services discovery using SPARQL-based repository filtering
Web Semantics: Science, Services and Agents on the World Wide Web
Iridescent: a tool for rapid semantic annotation of web service descriptions
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
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Service discovery has always been a challenging task in the Service Oriented computing. Many approaches have already been put forward for the semantic service discovery or matchmaking task, where each approach uses it's own logical formalism for service descriptions and user goals (i.e. formalized user request). As formalized service descriptions and user requests are used by the matchmaking process, matchmaking algorithm has a tight coupling with the underlying formalism used to describe services and goals. In this paper, we will present how SAWSDL can be used to annotate service descriptions while being agnostic to one particular service modeling formalism. The main contribution of this paper is to extend SAWSDL based service descriptions with the definition of pre and post-conditions using SPARQL query language and OWL-S Schema. We will also show how SPARQL query language can be used to formulate user goals. As a next step, we will present the matchmaking algorithm and prototype based on the matching of SPARQL based conditions and user goals.