General Terminology Induction in OWL
- Submitting institution
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The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 40102618
- Type
- E - Conference contribution
- DOI
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10.1007/978-3-319-25007-6_31
- Title of conference / published proceedings
- The Semantic Web - ISWC 2015 - 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I
- First page
- 533
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- October
- Year of publication
- 2015
- 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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2
- Research group(s)
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A - Computer Science
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "Generating rich OWL axioms from data is a complex problem that is highly relevant for both ontology authoring as well as semantic data analytics - this paper is the first to design and evaluate solutions for this problem.
Nominated for ISWC 2015 Best Paper and Best Student Paper Award.
- ISWC 2015 (acceptance 22.1% or 38/172)
- 3 papers were nominated for per award, thus our paper was top 3 from 38.
PGR obtained an internship with Huawei to extend this."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
