Implementation of Intention-driven Search Processes by SPARQL Queries

Capitalisation of search processes becomes a real challenge in many domains. By search process, we mean a sequence of queries that enables a community member to find comprehensive and accurate information by composing results from different information sources. In this paper we propose a intentional model based on semantic Web technologies and models and aiming both at the capitalization, reuse and sharing of queries into a community and at the organization of queries into formalized search processes. It is intended to support knowledge transfer on information searches between expert and novice members inside a community. Intention-driven search processes are represented by RDF datasets and operationalized by rules represented by SPARQL queries and applied in backward chaining by using the CORESE semantic engine.