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Towards a Categorical Matching Method to Process High-Dimensional Emergency Knowledge Structures

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Advances in Neural Networks - ISNN 2008 (ISNN 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5264))

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Abstract

To keep the original semantic information, Textual data in emergency knowledge acquisitions can be actually represented in categorical semantic structures based on typed category theory. These netted topological structures preserve high-dimensions to achieve higher reliability of knowledge processing that relates to the various scenarios of emergency responses. This paper presents a categorical matching method for effective processing on such high-dimensional structures of textual data. The quantification of the matching is achieved through the Greatest Common Subcategory between two categorical structures. Simulated experimental results show a reasonable matching rate for the semantic oriented high-dimensional knowledge processing.

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Author information

Authors and Affiliations

  1. Institute of Systems Engineering, Dalian University of Technology, 116024, Dalian, China

    Qingquan Wang, Lili Rong & Kai Yu

Authors
  1. Qingquan Wang
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  2. Lili Rong
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  3. Kai Yu
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghu University, 100084, Beijing, China

    Fuchun Sun

  2. Institute TAMS (Technical Aspects of Multimodal Systems), department of Informatics, University of Hamburg, Vogt-Koelln-Straße 30, 22527, Hamburg, Germany

    Jianwei Zhang

  3. Intel China Research Center, 8/F, Peking University, Department of Machine Intelligence, 100871, Beijing, China

    Ying Tan

  4. Department of Mathematics, Southeast University, 210096, Nanjing, China

    Jinde Cao

  5. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, 07360, México D.F., México

    Wen Yu

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© 2008 Springer-Verlag Berlin Heidelberg

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Wang, Q., Rong, L., Yu, K. (2008). Towards a Categorical Matching Method to Process High-Dimensional Emergency Knowledge Structures. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_84

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  • DOI: https://doi.org/10.1007/978-3-540-87734-9_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87733-2

  • Online ISBN: 978-3-540-87734-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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