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A CG-Based Behavior Extraction System

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Conceptual Structures: Standards and Practices (ICCS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1640))

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Abstract

This paper defines “behavior extraction” as the act of analyzing natural language sources on digital devices, such as specifications and patents, in order to find the behaviors that these documents describe and represent those behaviors in a formal manner. These formal representations may then be used for simulation or to aid in the automatic or manual creation of models for these devices. The system described here uses conceptual graphs for these formal representations, in the semantic analysis of natural language documents, and for its word-knowledge database. This paper explores the viability of such a conceptual-graph-based system for extracting behaviors from a set of patents. The semantic analyzer is found to be a viable system for behavior extraction, now requiring the extension of its dictionary and grammar rules to make it useful in creating models.

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Author information

Authors and Affiliations

  1. The Bradley Department of Electrical and Computer Engineering Virginia Tech, Automatic Design Research Group, Blacksburg, VA, 24061-0111

    Jeff Hess & Walling R. Cyre

Authors
  1. Jeff Hess
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  2. Walling R. Cyre
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Editor information

Editors and Affiliations

  1. Software Engineering Department, Monmouth University, West Long Branch, NJ, 07764-1898, USA

    William M. Tepfenhart

  2. The Bradley Department of Electrical and Computer Engineering, Virginia Tech, Automatic Design Research Group, Blacksburg, VA, 24061, USA

    Walling Cyre

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© 1999 Springer-Verlag Berlin Heidelberg

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Hess, J., Cyre, W.R. (1999). A CG-Based Behavior Extraction System. In: Tepfenhart, W.M., Cyre, W. (eds) Conceptual Structures: Standards and Practices. ICCS 1999. Lecture Notes in Computer Science(), vol 1640. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48659-3_7

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  • DOI: https://doi.org/10.1007/3-540-48659-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66223-5

  • Online ISBN: 978-3-540-48659-6

  • eBook Packages: Springer Book Archive

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