Topic
Knowledge representation and reasoning
About: Knowledge representation and reasoning is a research topic. Over the lifetime, 20078 publications have been published within this topic receiving 446310 citations. The topic is also known as: KR & KR².
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TL;DR: Qualitative spatial reasoning techniques can help overcome this challenge by providing more expressive spatial representations, better communication of intent, better path-finding and reusable strategy libraries.
Abstract: Spatial reasoning is a major challenge for strategy-game artificial intelligence systems. Qualitative spatial reasoning techniques can help overcome this challenge by providing more expressive spatial representations, better communication of intent, better path-finding and reusable strategy libraries.
92 citations
TL;DR: This paper gives a never completely account of approaches that have been used for the research community for representing knowledge and the importance of a layered approach and the use of standards.
Abstract: This paper gives a never completely account of approaches that have been used for the research community for representing knowledge. After underlining the importance of a layered approach and the use of standards, it starts with early efforts used for artificial intelligence researchers. Then recent approaches, aimed mainly at the semantic web, are described. Coding examples from the literature are presented in both sections. Finally, the semantic web ontology creation process, as we envision it, is introduced.
92 citations
TL;DR: The author's JessTab extension lets you write Jess programs that manage Protege ontologies and knowledge bases, a popular, modular ontology development and knowledge acquisition tool.
Abstract: Integration with external systems, such as problem solvers, is becoming increasingly important for ontology development and knowledge-modeling tools. The author's JessTab extension lets you write Jess programs that manage Protege ontologies and knowledge bases. Protege is a popular, modular ontology development and knowledge acquisition tool.
92 citations
26 Oct 1993
TL;DR: The consequences of introducing a constructor for building a concept from a set of enumerated individuals in the concept description language are investigated and some complexity results are provided on it.
Abstract: One of the main characteristics of knowledge representation systems based on the description of concepts is the clear distinction between terminological and assertional knowledge Although this characteristic leads to several computational and representational advantages, it usually limits the expressive power of the system For this reason, some attempts have been done, allowing for a limited form of amalgamation between the two components and a more complex interaction between them In particular, one of these attempts is based on letting the individuals to be referenced in the concept expressions This is generally performed by admitting a constructor for building a concept from a set of enumerated individuals In this paper we investigate on the consequences of introducing this type of constructor in the concept description language and we provide some complexity results on it
92 citations
Proceedings Article•
20 Aug 1979TL;DR: The Unit Package was created for a hierarchical planning application, and is now in use by several AI projects, and compares it with other current knowledge representation languages.
Abstract: The Unit Package is an interactive knowledge representation system with representations for individuals, classes, indefinite individuals, and abstractions. Links between the nodes are structured with explicit definitional roles, types of inheritance, defaults, and various data formats. This paper presents the general ideas of the Unit Package and compares it with other current knowledge representation languages. The Unit Package was created for a hierarchical planning application, and is now in use by several AI projects.
92 citations