Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/17786
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- Title
- Representation and integration of knowledge based on multiple granularity of time using temporal logic
- Related
- 2006 IEEE International conference on information reuse and integration (IEEE IRI-2006) (16-18 September, 2006 : Waikoloa Village, HI)
- Related
- Proceedings of the 2006 IEEE International conference on information reuse and integration (IEEE IRI-2006)
- DOI
- 10.1109/IRI.2006.252422
- Publisher
- Piscataway, NJ : IEEE Press
- Date
- 2006
- Author/Creator
- Orgun, Mehmet A
- Author/Creator
- Liu, Chuchang
- Author/Creator
- Nayak, Abhaya C
- Description
- Modelling, reasoning about and integrating knowledge based on multiple time granularities in knowledge-based systems is important, especially when talking about events that take place in the real world. Formal approaches based on temporal logics have been successfully applied in many application domains of knowledge-based systems where the notion of dynamic change (that is, evolution of a system through time) is central. This paper presents a methodology based on temporal logic to deal with knowledge based on multiple time granularities in knowledge-based systems. The methodology includes an approach to the representation of timing systems, a method used for representing facts and rules in a knowledge-based system that involve multiple time granularities, and several deductive reasoning techniques.
- Description
- 6 page(s)
- Subject Keyword
- inference mechanisms
- Subject Keyword
- knowledge based systems
- Subject Keyword
- knowledge representation
- Subject Keyword
- temporal logic
- Resource Type
- conference paper
- Organisation
- Macquarie University. Dept. of Computing
- Identifier
- http://hdl.handle.net/1959.14/17786
- Identifier
- ISBN:0780397886
- Identifier
- mq-rm-2006003139
- Language
- eng
- Rights
- Copyright 2006 IEEE. Reprinted from Proceedings of the 2006 IEEE International conference on information reuse and integration (IEEE IRI-2006). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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