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1993•IEEE Transactions on Knowledge and Data EngineeringRequires access

A knowledge representation model for multiuser knowledge-based systems

Amit Basu

Open publisher page 8 citations

Abstract

A description is given of a multiuser knowledge-based system (MKBS) model. In this system, knowledge is represented in a collection of interlinked, largely autonomous user knowledge bases (UKBs) and supports use of the system by multipole heterogeneous users. The UKBs are defined so that while each user's view of the knowledge base is limited to the local UKB, problem solving can be achieved using knowledge from multiple UKBs. Different ways of sharing knowledge, including rules, are discussed. A method for rule translation that enables a rule to be used in multiple UKBs is presented. Issues relating to consistency maintenance and explanation in MKBS are addressed.>

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What this paper is about

A description is given of a multiuser knowledge-based system (MKBS) model. In this system, knowledge is represented in a collection of interlinked, largely autonomous user knowledge bases (UKBs) and supports use of the system by multipole heterogeneous users. The UKBs are defined so that while each user's view of the knowledge base is limited to the local UKB, problem solving can be achieved using knowledge from multiple UKBs. Different ways of sharing knowledge, including rules, are discussed. A method for rule translation that enables a rule to be used in multiple UKBs is presented. Issues relating to consistency maintenance and explanation in MKBS are addressed.>

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A description is given of a multiuser knowledge-based system (MKBS) model. In this system, knowledge is represented in a collection of interlinked, largely autonomous user knowledge bases (UKBs) and supports use of the system by multipole heterogeneous users. The UKBs are defined so that while each user's view of the knowledge base is limited to the local UKB, problem solving can be achieved using knowledge from multiple UKBs. Different ways of sharing knowledge, including rules, are discussed. A method for rule translation that enables a rule to be used in multiple UKBs is presented. Issues relating to consistency maintenance and explanation in MKBS are addressed.>

Key concepts: Computer science, Knowledge base, Knowledge-based systems, Knowledge representation and reasoning, Open Knowledge Base Connectivity, Consistency (knowledge bases), Knowledge extraction, Representation (politics)

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