Rajpathak, Dnyanesh and Motta, Enrico
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In this paper we propose a generic task ontology, which formalizes the space of planning problems. Although planning is one of the oldest researched areas in Artificial Intelligence and attempts have been made in the past at developing task ontologies for planning, these formalizations suffer from serious limitations: they do not exhibit the required level of formalization and precision and they usually fail to include some of the key concepts required for specifying planning problems. In contrast with earlier proposals, our task ontology formalizes the nature of the planning task independently of any planning paradigm, specific domains, or applications and provides a fine-grained, precise and comprehensive characterization of the space of planning problems. Finally, in addition to producing a formal specification we have also operationalized the ontology into a set of executable definitions, which provide a concrete reusable resource for knowledge acquisition and system development in planning applications.
|Item Type:||Conference Item|
|Copyright Holders:||2004 The Authors|
|Extra Information:||In Varzi, Dr Achille and Vieu, Dr Laure, Eds. Proceedings International Conference on Formal Ontologies in Information Systems (FOIS'04), pages pp. 305-316, Torino, Italy.
|Keywords:||planning; ontologies; task ontologies; reusable knowledge components; knowledge engineering; knowledge modelling|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Kay Dave|
|Date Deposited:||19 May 2011 09:24|
|Last Modified:||17 Nov 2016 14:51|
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