FunSPARQL: Extension of SPARQL with a Functional Language

The SPARQL query language for RDF is the standard recommended by the W3C to query the Semantic Web. It enables to query and search RDF data by using query graph patterns and filters restricting the solutions produced by graph pattern matching according to the constraints they express. Constraints are either expressions defined according to the expression language specified in the W3C recommendation or function calls to SPARQL builtin functions or to extension functions. The use of extension functions in a SPARQL query, although compliant to the recommendation, limits the interoperability of the query. In this report we propose a lightweight extension of SPARQL to enable the \textit{definition} of extension functions in the SPARQL filter language. We call it FunSPARQL, standing for Functional SPARQL, as it consists in providing SPARQL with a functional language for expressing constraints

Web Service Discovery Based on Past User Experience

Web service technology provides a way for simplifying interoperability among different organizations. A piece of functionality available as a web service can be involved in a new business process. Given the steadily growing number of available web services, it is hard for developers to find services appropriate for their needs. The main research efforts in this area are oriented on developing a mechanism for semantic web service description and matching. In this paper, we present an alternative approach for supporting users in web service discovery. Our system implements the implicit culture approach for recommending web services to developers based on the history of decisions made by other developers with similar needs. We explain the main ideas underlying our approach and report on experimental results