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A Semi-automatic System for Knowledge Base Population

  • Conference paper
Knowledge Discovery, Knowlege Engineering and Knowledge Management (IC3K 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 128))

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Abstract

The typical method for transferring key information from unstructured text to knowledge bases is laborious manual entry, but automated information extraction is still at unacceptable accuracies to replace it. A viable alternative is a user interface that allows correction and validation of assertions proposed by the automated extractor for entry into the knowledge base. In this paper, we discuss our system for semi-automatic database population and how issues arising in content extraction and knowledge base population are addressed. The major contributions are detailing challenges in building a semi-automated tool, classifying expected extraction errors, identifying the gaps in current extraction technology with regard to databasing, and designing and developing the FEEDE system that supports human correction of automated content extractors in order to speed up data entry into knowledge bases.

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Author information

Authors and Affiliations

  1. U.S. Department of Defense, Washington, U.S.A.

    Jade Goldstein-Stewart

  2. The MITRE Corporation, Annapolis Junction, MD, U.S.A.

    Ransom K. Winder

Authors
  1. Jade Goldstein-Stewart
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  2. Ransom K. Winder
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Editor information

Editors and Affiliations

  1. IST - Technical University of Lisbon, Av.Rovisco Pais, 1, 1049-001, Lisbon, Portugal

    Ana Fred

  2. Delft University of Technology, Mekelweg 4, 2628, Delft, CD, The Netherlands

    Jan L. G. Dietz

  3. Informatics Research Centre, Henley Business School, University of Reading, RG6 6UD, Reading, UK

    Kecheng Liu

  4. Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

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© 2011 Springer-Verlag Berlin Heidelberg

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Goldstein-Stewart, J., Winder, R.K. (2011). A Semi-automatic System for Knowledge Base Population. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowlege Engineering and Knowledge Management. IC3K 2009. Communications in Computer and Information Science, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19032-2_21

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  • DOI: https://doi.org/10.1007/978-3-642-19032-2_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19031-5

  • Online ISBN: 978-3-642-19032-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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