Pragmatic Ontology Evolution: Reconciling User Requirements and Application Performance
- Submitting institution
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The Open University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1587447
- Type
- E - Conference contribution
- DOI
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10.1007/978-3-030-00671-6_29
- Title of conference / published proceedings
- Lecture Notes in Computer Science
- First page
- 495
- Volume
- 11136
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- June
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper, accepted at the premiere international venue for Semantic Web research, presents the first approach to ontology evolution that optimises the resulting ontology according to its performance on common relevant computational tasks, such as automatic annotation, generation of recommendations, and clustering. This technique outperforms the state of the art and provides an effective solution for use in concrete task settings. Approach was adopted by Springer Nature (Editorial Director, Springer, details on request) to support the evolution of the Computer Science branch of their taxonomy of product codes, used for annotating their vast catalogue of books and proceedings (~40,000 volumes).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -