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A Semantic Web Based Approach for Context-Aware User Query Formulation and Information Retrieval
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Author(s): Hanh Huu Hoang (Vienna University of Technology, Austria), Tho Manh Nguyen (Vienna University of Technology, Austria)and A Min Tjoa (Vienna University of Technology, Austria)
Copyright: 2009
Pages: 24
Source title:
Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling
Source Author(s)/Editor(s): Max Chevalier (University of Toulouse, IRIT (UMR 5505), France), Christine Julien (University of Toulouse, IRIT (UMR 5505), France)and Chantal Soule-Dupuy (University of Toulouse, IRIT (UMR 5505), France)
DOI: 10.4018/978-1-60566-306-7.ch015
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Abstract
Formulating unambiguous queries in the Semantic Web applications is a challenging task for users. This article presents a new approach in guiding users to formulate clear requests based on their common nature of querying for information. The approach known as the front-end approach gives users an overview about the system data through a virtual data component which stores the extracted metadata of the data storage sources in the form of an ontology. This approach reduces the ambiguities in users’ requests at a very early stage and allows the query process to effectively perform in fulfilling users’ demands in a context-aware manner. Furthermore, the approach provides a powerful query engine, called context-aware querying, that recommends the appropriate query patterns according to the user’s querying context.
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