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Cited by 3,524

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Ontologies: principles, methods and applications

Uschold, Mike, Gruninger, Michael·1996·The Knowledge Engineering Review

Abstract

This paper is intended to serve as a comprehensive introduction to the emerging field concerned with the design and use of ontologies. We observe that disparate backgrounds, languages, tools and techniques are a major barrier to effective communication among people, organisations and/or software understanding (i.e. an “ontology”) in a given subject area, can improve such communication, which in turn, can give rise to greater reuse and sharing, inter-operability, and more reliable software. After motivating their need, we clarify just what ontologies are and what purpose they serve. We outline a methodology for developing and evaluating ontologies, first discussing informal techniques, concerning such issues as scoping, handling ambiguity, reaching agreement and producing definitions. We then consider the benefits and describe, a more formal approach. We re-visit the scoping phase, and discuss the role of formal languages and techniques in the specification, implementation and evalution of ontologies. Finally, we review the state of the art and practice in this emerging field, considering various case studies, software tools for ontology development, key research issues and future prospects.

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Metadata

Authors
Uschold, M., & Gruninger, M.
Venue
The Knowledge Engineering Review
Published
1996-06
Volume
11
Issue
2
Pages
93-136
ISSN
  • 0269-8889 (ISSN-L)
  • 1469-8005
OpenAlex
W2124957697
Cited by
3,524
References
0
FWCI
29.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ontologies: principles, methods and applications. https://app.cochat.ai/papers/10.1017/s0269888900007797
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Uschold, M., & Gruninger, M. (1996). Ontologies: principles, methods and applications. The Knowledge Engineering Review. https://doi.org/10.1017/s0269888900007797

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.