Results 331 to 340 of about 6,753,811 (352)
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1996
Publisher Summary Knowledge is information that is necessary to support intelligent reasoning. The topic of knowledge representation concerns the various ways in which the collection of such information may be organized and processed. The important point is that the notions of organization and processing are intertwined.
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Publisher Summary Knowledge is information that is necessary to support intelligent reasoning. The topic of knowledge representation concerns the various ways in which the collection of such information may be organized and processed. The important point is that the notions of organization and processing are intertwined.
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The E/S knowledge representation system
Data & Knowledge Engineering, 1994Abstract This paper introduces the E/S knowledge representation model and describes a system based on that model. The model takes ideas from KL-ONE and ER, and its main strength is the direct representation of n-ary relationships. The system is classification-based, and therefore organizes its knowledge in hierarchies of structured intensional ...
Bergamaschi S., Lodi S., Sartori C.
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Domain knowledge graph-based research progress of knowledge representation
Neural computing & applications (Print), 2020Jinjiao Lin +4 more
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2017
: How can we represent knowledge? What are the main differences between data, information and knowledge? Why is knowledge important in human reasoning? What are the specificities of spatial and geographic reasoning? What are the different forms of knowledge? How can we encode chunks of knowledge?
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: How can we represent knowledge? What are the main differences between data, information and knowledge? Why is knowledge important in human reasoning? What are the specificities of spatial and geographic reasoning? What are the different forms of knowledge? How can we encode chunks of knowledge?
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1987
Knowledge representation should make processing easy and should map onto problems that we know how to deal with. It must not only be convenient but also adequate to the task it is asked to perform. Three different types of adequacy for representation of knowledge are described: metaphysical, epistemological and heuristic.
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Knowledge representation should make processing easy and should map onto problems that we know how to deal with. It must not only be convenient but also adequate to the task it is asked to perform. Three different types of adequacy for representation of knowledge are described: metaphysical, epistemological and heuristic.
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Neural Representations of Concept Knowledge
2019This chapter reviews progress made by brain-reading (neurosemantic) studies that use multivariate analytic methods to delineate the nature, content, and neuroanatomical distribution of the neural representation of concept knowledge in semantic memory. Concept knowledge underlies almost all human thought, communication, and daily activity.
Marcel Adam Just, Andrew Bauer
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1994
Publisher Summary This chapter describes the two broad categories in which one's knowledge of the world can be divided: declarative knowledge, or knowledge of facts, and procedural knowledge, or knowledge of skills. Declarative knowledge is communicable; it can be acquired quickly and is flexible.
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Publisher Summary This chapter describes the two broad categories in which one's knowledge of the world can be divided: declarative knowledge, or knowledge of facts, and procedural knowledge, or knowledge of skills. Declarative knowledge is communicable; it can be acquired quickly and is flexible.
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2014
The development of automated systems that manifest biomedical knowledge requires a mechanism to encode that knowledge for the computer. Although it is most straightforward for software engineers to program knowledge into procedural computer code, often computer systems need to be able to operate off the knowledge in a flexible manner.
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The development of automated systems that manifest biomedical knowledge requires a mechanism to encode that knowledge for the computer. Although it is most straightforward for software engineers to program knowledge into procedural computer code, often computer systems need to be able to operate off the knowledge in a flexible manner.
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Commonsense Knowledge Representation I
2009Early attempts to implement systems that understand commonsense knowledge did so for very restricted domains. For example, the Planes system [Waltz, 1978] knew real world facts about a fleet of airplanes and could answer questions about them put to it in English. It had, however, no behaviors, could not interpret the facts, draw inferences from them or
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