Description logics and planning.: An article from: AI Magazine

This digital document is an article from AI Magazine, published by American Association for Artificial Intelligence on June 22, 2005. The length of the article is 7975 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

From the author: This article surveys previous work on combining planning techniques with expressive representations of knowledge in description logics to reason about tasks, plans, and goals. Description logics can reason about the logical definition of a class and automatically infer class-subclass subsumption relations as well as classify instances into classes based on their definitions. Descriptions of actions, plans, and goals can be exploited during plan generation, plan recognition, or plan evaluation. These techniques should be of interest to planning practitioners working on knowledge-rich application domains. Another emerging use of these techniques is the semantic web, where current ontology languages based on description logics need to be extended to reason about goals and capabilities for web services and agents.

Citation Details
Title: Description logics and planning.
Author: Yolanda Gil
Publication:AI Magazine (Magazine/Journal)
Date: June 22, 2005
Publisher: American Association for Artificial Intelligence
Volume: 26 Issue: 2 Page: 73(12)

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