2004Unpublished venueRequires access

Rapid knowledge base design via extension of mid-level knowledge components

Daniel F. Bostwick, John O. Everett, Dan Hunter, Eric K. Jones

Open publisher page 2 citations

Abstract

The full potential of knowledge based systems will be realized only when users who are not knowledge engineers are able to develop and deploy the underlying knowledge bases. To this end we are developing a system for rapid knowledge base design that permits users to draw on an existing library of knowledge components and, through intuitive interfaces, shape them into an ontology for a domain and application of interest. The models created are supported by an expressive language that provides sophisticated constraint reasoning.

About this research paper

What this paper is about

The full potential of knowledge based systems will be realized only when users who are not knowledge engineers are able to develop and deploy the underlying knowledge bases. To this end we are developing a system for rapid knowledge base design that permits users to draw on an existing library of knowledge components and, through intuitive interfaces, shape them into an ontology for a domain and application of interest. The models created are supported by an expressive language that provides sophisticated constraint reasoning.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The full potential of knowledge based systems will be realized only when users who are not knowledge engineers are able to develop and deploy the underlying knowledge bases. To this end we are developing a system for rapid knowledge base design that permits users to draw on an existing library of knowledge components and, through intuitive interfaces, shape them into an ontology for a domain and application of interest. The models created are supported by an expressive language that provides sophisticated constraint reasoning.

Key concepts: Knowledge base, Computer science, Open Knowledge Base Connectivity, Domain knowledge, Knowledge-based systems, Ontology, Design knowledge, Knowledge engineering

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