Automatically structuring domain knowledge from text: a review of current research

Clark, Malcolm; Kim, Yunhyong; Kruschwitz, Udo; Song, Dawei; Albakour, M-Dyaa; Dignum, Stephen; Cerviño Beresi, Ulises; Fasli, Maria and De Roeck, Anne (2012). Automatically structuring domain knowledge from text: a review of current research. Information Processing and Management, 48(3) pp. 552–568.

DOI: https://doi.org/10.1016/j.ipm.2011.07.002

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.

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About

• Item ORO ID
• 33891
• Item Type
• Journal Item
• ISSN
• 0306-4573
• Keywords
• domain models; information retrieval; natural language processing; artificial intelligence
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2011 Elsevier Ltd
• Depositing User
• Dawei Song