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INEXT: An Investigative Search Tool for Knowledge Extraction

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Intelligence and Security Informatics (WISI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3917))

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Abstract

In this paper, we present an investigative search tool called INEXT for searching documents relevant to some terrorism related information seeking tasks. Given a set of seed entities, INEXT conducts information extraction on the documents, and ranks them based on the amount of novel entities and relations they contain. With users interacting with INEXT throughout the search process, documents are re-ranked to identify other relevant documents based on revised document relevance scores. In this paper, we present the overall system architecture and its component modules including the named entity recognition module, entity co-reference module, domain entity and relation extraction module, document ranking module, and entity and relation annotation module. These modules are designed to address the different sub-problems in the entire search process.

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References

  1. Bontcheva, K., Tablan, V., Maynard, D., Cunningham, H.: Evolving GATE to Meet New Challenges in Language Engineering. Natural Language Engineering 10(3/4), 349–373 (2004)

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  2. Sun, Z., Lim, E.-P., Chang, K., Ong, T.-K., Gunaratna, R.K.: Event-driven document selection for terrorism information extraction. In: Proceedings of IEEE International Conference on Intelligence and Security Informatics (2005)

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Authors and Affiliations

  1. Centre for Advanced Information Systems, School of Computer Engineering, Nanyang Technological University, Singapore, 639798, Singapore

    Zhen Sun & Ee-Peng Lim

Authors
  1. Zhen Sun
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  2. Ee-Peng Lim
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Editor information

Editors and Affiliations

  1. Department of Management Information Systems, Eller College of Management, The University of Arizona, 85721, AZ, USA

    Hsinchun Chen

  2. Chinese Academy of Sciences, 100190, Beijing, China

    Fei-Yue Wang

  3. Drexel University, 19104, Philadelphia, PA, USA

    Christopher C. Yang

  4. MIS Department, University of Arizona, and Chinese Academy of Sciences, Tucson, AZ, USA

    Daniel Zeng

  5. The University of Hong Kong, Hong Kong, China

    Michael Chau

  6. School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Kuiyu Chang

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© 2006 Springer-Verlag Berlin Heidelberg

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Sun, Z., Lim, EP. (2006). INEXT: An Investigative Search Tool for Knowledge Extraction. In: Chen, H., Wang, FY., Yang, C.C., Zeng, D., Chau, M., Chang, K. (eds) Intelligence and Security Informatics. WISI 2006. Lecture Notes in Computer Science, vol 3917. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11734628_4

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  • DOI: https://doi.org/10.1007/11734628_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33361-6

  • Online ISBN: 978-3-540-33362-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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