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Automatically structuring domain knowledge from text: An overview of current research

Clark, M and Kim, Y and Kruschwitz, U and Song, D and Albakour, D and Dignum, S and Beresi, UC and Fasli, M and De Roeck, A (2012) 'Automatically structuring domain knowledge from text: An overview of current research.' Information Processing and Management, 48 (3). 552 - 568. ISSN 0306-4573

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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. © 2011 Elsevier Ltd. All rights reserved.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 15 Aug 2012 11:40
Last Modified: 17 Aug 2017 18:09
URI: http://repository.essex.ac.uk/id/eprint/3612

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