Clark, Malcolm; Kim, Yunhyong; Kruschwitz, Udo; Song, Dawei; Albakour, M-Dyaa; Dignum, Stephen; Cerviño Beresi, Ulises; Fasli, Maria and De Roeck, Anne
(2012).
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| DOI (Digital Object Identifier) Link: | https://doi.org/10.1016/j.ipm.2011.07.002 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
This paper presents an overview of automatic methods for building domain knowledge structures (domain models) from text collections. Applications of domain models have a long history within knowledge engineering and artificial intelligence. In the last couple of decades they have surfaced noticeably as a useful tool within natural language processing, information retrieval and semantic web technology. Inspired by the ubiquitous propagation of domain model structures that are emerging in several research disciplines, we give an overview of the current research landscape and some techniques and approaches. We will also discuss trade-offs between different approaches and point to some recent trends.
| Item Type: | Article |
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| Copyright Holders: | 2011 Elsevier Ltd |
| ISSN: | 0306-4573 |
| Keywords: | domain models; information retrieval; natural language processing; artificial intelligence |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 33891 |
| Depositing User: | Dawei Song |
| Date Deposited: | 21 Jun 2012 08:23 |
| Last Modified: | 28 Jun 2017 17:12 |
| URI: | http://oro.open.ac.uk/id/eprint/33891 |
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