Authors:
Olivier Corby
1
;
Catherine Faron-Zucker
2
and
Isabelle Mirbel
1
Affiliations:
1
INRIA Sophia Antipolis, France
;
2
Université de Nice Sophia-Antipolis, CNRS, France
Keyword(s):
Search Process Modeling, Process Guidance, Ontology, Semantic Web, SPARQL, RDF(S).
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Cloud Computing
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Informatics in Control, Automation and Robotics
;
Information Systems Analysis and Specification
;
Intelligent Control Systems and Optimization
;
Knowledge Engineering
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge-Based Systems
;
Knowledge-Based Systems Applications
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Semantic Web Technologies
;
Services Science
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Software Engineering
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
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 an 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 textsc rdf datasets and operationalized by rules represented by textsc sparql queries and applied in backward chaining by using the CORESE semantic engine.