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A Semantic Web-based Approach for Context-Aware User Query formulation and Information Retrieval

Author

Listed:
  • Hahn H. Hoang

    (Vienna University of Technology, Austria)

  • Tho M. Nguyen

    (Vienna University of Technology, Austria)

  • A M. Tjoa

    (Vienna University of Technology, Austria)

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.

Suggested Citation

  • Hahn H. Hoang & Tho M. Nguyen & A M. Tjoa, 2008. "A Semantic Web-based Approach for Context-Aware User Query formulation and Information Retrieval," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 3(1), pages 1-23, January.
  • Handle: RePEc:igg:jitwe0:v:3:y:2008:i:1:p:1-23
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jitwe.2008010101
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    Cited by:

    1. Avinash Samuel & Dilip Kumar Sharma, 2018. "A Novel Framework for Sentiment and Emoticon-Based Clustering and Indexing of Tweets," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 1-18, June.

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