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An Interval-Based Knowledge Model and Query Language for Temporal Information

  • Conference paper
Multi-Agent Systems for Society (PRIMA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4078))

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Abstract

Time plays a crucial role in describing dynamic domain and resources on the Web. Most of current ontology languages, without notion of time or change, can only describe domain knowledge in a static sense. In order to bring structure to time-varying information, we propose an interval-based knowledge model (IKM), which is composed of a temporal knowledge schema, temporal integrity constraints and an interpretation structure. In the IKM, a group of expressive temporal constructs are provided to capture the temporal features of concepts, attributes and relationships; a group of rules are defined to enrich expressivity of the model; formal meaning is given to the model via an interpretation with model-theoretical semantics. A high-level query language is defined on the model, too.

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Author information

Authors and Affiliations

  1. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, P.O. Box 2704-28, Beijing, 100080, China

    He Huang, Zhongzhi Shi, Lirong Qiu & Jiewen Luo

  2. Graduate School of the Chinese Academy of Sciences, Beijing, China

    He Huang, Xiaoxiao He, Lirong Qiu & Jiewen Luo

Authors
  1. He Huang
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  2. Zhongzhi Shi
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  3. Xiaoxiao He
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  4. Lirong Qiu
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  5. Jiewen Luo
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Editor information

Editors and Affiliations

  1. DL Informatique Sdn. Bhd., No. 29-7, Jalan SP 2/1, Serdang Perdana, Section 2,, 43300, Seri Kembangan, Selangor D. E., Malaysia

    Dickson Lukose

  2. Chinese Academy of Sciences, Beijing, China

    Zhongzhi Shi

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© 2009 Springer-Verlag Berlin Heidelberg

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Huang, H., Shi, Z., He, X., Qiu, L., Luo, J. (2009). An Interval-Based Knowledge Model and Query Language for Temporal Information. In: Lukose, D., Shi, Z. (eds) Multi-Agent Systems for Society. PRIMA 2005. Lecture Notes in Computer Science(), vol 4078. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03339-1_25

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  • DOI: https://doi.org/10.1007/978-3-642-03339-1_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03337-7

  • Online ISBN: 978-3-642-03339-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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