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Task-dependent aspects of knowledge acquisition: A case study in a technical domain

  • Knowledge Modeling
  • Conference paper
  • First Online:
Conceptual Structures: Fulfilling Peirce's Dream (ICCS 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1257))

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Abstract

This paper summarises principles of manual acquisition of conceptual graphs which evolved within the framework of a natural language processing system and are now enriched and elaborated to facilitate the construction of a larger knowledge base. Our conventions provide the mapping between language structures (at syntactic and semantic levels) and conceptual structures. The task-dependent aspects of our approach are clearly presented. We also discuss the problems of finding suitable domain descriptions to be used as acquisition sources. Finally, we evaluate the manual and automatic knowledge acquisition from the perspective of our current experience.

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Author information

Authors and Affiliations

  1. Linguistic Modelling Laboratory, Bulgarian Academy of Sciences, Acad. G.Bonchev Str. 25A, 1113, Sofia, Bulgaria

    Galia Angelova

  2. Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Str., S1 4DP, Sheffield, UK

    Kalina Bontcheva

Authors
  1. Galia Angelova
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  2. Kalina Bontcheva
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Editor information

Dickson Lukose Harry Delugach Mary Keeler Leroy Searle John Sowa

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© 1997 Springer-Verlag Berlin Heidelberg

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Angelova, G., Bontcheva, K. (1997). Task-dependent aspects of knowledge acquisition: A case study in a technical domain. In: Lukose, D., Delugach, H., Keeler, M., Searle, L., Sowa, J. (eds) Conceptual Structures: Fulfilling Peirce's Dream. ICCS 1997. Lecture Notes in Computer Science, vol 1257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027870

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  • DOI: https://doi.org/10.1007/BFb0027870

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63308-2

  • Online ISBN: 978-3-540-69424-3

  • eBook Packages: Springer Book Archive

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