Authors:
Sara Bouzid
1
;
Corine Cauvet
1
;
Claudia Frydman
1
and
Jacques Pinaton
2
Affiliations:
1
Aix-Marseille University, France
;
2
STMicroelectronics, France
Keyword(s):
Resource Retrieval, Semantic Search, Alignment Pattern, Goal-Oriented Mechanisms, Business Needs.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cloud Computing
;
Data Engineering
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Query Languages and Query Processing
;
Requirements Analysis And Management
;
Semantic Web Technologies
;
Services Science
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Web Information Systems and Technologies
Abstract:
Information-resource retrieval in enterprises is becoming a major concern nowadays because of the importance of business information in supporting the satisfaction of business objectives. To enhance resource retrieval in enterprises, this paper argues that it is necessary to coherently include the user need in the search process, in particular when this need is business-context dependent. A pattern-based approach is proposed for this purpose. The approach captures the business needs in a company using goal-oriented mechanisms and integrates them in a keyword search using alignment patterns. These patterns are used to both guide the search process and semantically fill the gap between the low-level description of information resources and the high-level needs of business actors. The approach has been applied for resource retrieval in the context of the manufacturing-process control within the STMicroelectronics Company.