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News Aggregating System Supporting Semantic Processing Based on Ontology

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Knowledge and Systems Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 244))

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Abstract

The significant increase in number of the online newspapers has been the cause of information overload for readers and organizations who occasionally deal with the news content management. There have been several systems designed to manually or automatically take information from multiple sources, reorganize and display them in a single place, which relatively makes it much more convenient for readers. However, the methods used in these systems for the aggregating and processing are still limited and insufficient to meet some public demands, especially those relate to the semantics of articles. This paper presents a technical solution for developing a news aggregating system where the aggregation is automatic and supports some semantic processing functions, such as categorizing, search for articles, etc. The proposed solution includes modeling the information structure of each online newspaper for aggregation and utilizing Ontology, along with keyphrase graphs, for building functions related to the semantics of articles. The solution is applied to build an experimental system dealing with Vietnamese online newspapers, with the semantic processing functions for articles in the field of Labor & Employment. This system has been tested and achieved impressive results.

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Author information

Authors and Affiliations

  1. Computer Science Faculty, University of Information Technology, Vietnam National University, Ho Chi Minh City, Vietnam

    Nhon Do Van, Vu Lam Han, Trung Le Bao & Van Ho Long

Authors
  1. Nhon Do Van
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  2. Vu Lam Han
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  3. Trung Le Bao
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  4. Van Ho Long
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Corresponding author

Correspondence to Nhon Do Van .

Editor information

Editors and Affiliations

  1. School of Knowledge Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    Van Nam Huynh

  2. UMR CNRS 7253 Heudiasyc, Universite de Technologie de Compiegne, Compiegne Cedex, France

    Thierry Denoeux

  3. Faculty of Information Technology, Hanoi National University of Education, Hanoi, Vietnam

    Dang Hung Tran

  4. Faculty of Information Technology, University of Engineering and Technology, Hanoi, Vietnam

    Anh Cuong Le

  5. Faculty of Information Technology, University of Engineering and Technology, Hanoi, Vietnam

    Son Bao Pham

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© 2014 Springer International Publishing Switzerland

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Do Van, N., Han, V.L., Le Bao, T., Long, V.H. (2014). News Aggregating System Supporting Semantic Processing Based on Ontology. In: Huynh, V., Denoeux, T., Tran, D., Le, A., Pham, S. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-02741-8_25

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  • DOI: https://doi.org/10.1007/978-3-319-02741-8_25

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02740-1

  • Online ISBN: 978-3-319-02741-8

  • eBook Packages: EngineeringEngineering (R0)

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