Abstract
This paper presents the method of automatic knowledge retrieval from the web. The aim of the system that implements it, is to automatically create entries to a knowledge database, similar to the ones that are being provided by the volunteer contributors. As only a small fraction of the statements accessible on the web can be treated as valid knowledge concepts we considered the method for their filtering and verification, based on the similarity measurements with the concepts found in the manually created knowledge database. The results demonstrate that the system can retrieve valid knowledge concepts both for topics that are described in the manually created database, as well as the ones that are not covered there.
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References
Alani H., Kim S., Millard D., Weal M., Lewis P., Hall W. and Shadbolt N. Automatic Ontology-based Knowledge Extraction and Tailored Biography Generation from the Web. IEEE Intelligent Systems, 18(1), pages 14–21, 2003.
Borchardt G. Understanding Casual Descriptions of Physical Systems. In Proceedings of the Tenth National Conference on Artificial Intelligence, pages 2–8, 1992.
Inui T., Inui K. and Matsumoto Y. What Kind and Amount of Casual Knowledge Can Be Acquired from Text by Using Connective Markers as Clues? In the 6th International Conference on Discovery Science, pages 179–192, 2003.
Lenat D. CYC: A large-scale investment in knowledge infrastructure. Communications of the ACM, 38(11), pages 33–38, 1995.
Karypis G. A Clustering Toolkit. http://www.cs.umn.edu/~karypis/cluto. 2003.
Moldovan D., Girju R. and Rus V. Domain-Specific Knowledge Acquisition from Text. Proceedings of the Applied Natural Language Processing Conference, pages 268–275, 2000.
Richardson M. Domingos P. Building Large Knowledge Bases by Mass Collaboration. Proceedings of the Second International Conference on Knowledge Capture, pages 129–137, 2003.
Satoh H. Retrieval of simplified casual knowledge in text and its applications.
Rzepka R., Itoh T. and Araki K. Rethinking Plans and Scripts Realization in the Age of Web-mining. IPSJ SIG Technical Report 2004-NL-162, pages 11–18, 2004.
Singh P. The public acquisition of commonsense knowledge. In Proceedings of AAAI Spring Symposium: Acquiring (and Using) Linguistic (and World) Knowledge for Information Access, 2002.
Woods W. A Better way to Organize Knowledge. Technical Report of Sun Microsystems Inc., 1997.
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© 2005 Springer-Verlag Berlin Heidelberg
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Skowron, M., Araki, K. (2005). Automatic Knowledge Retrieval from the Web. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_14
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DOI: https://doi.org/10.1007/3-540-32392-9_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25056-2
Online ISBN: 978-3-540-32392-1
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