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

Authors:
Malcolm Clark;Yunhyong Kim;Udo Kruschwitz;Dawei Song;Dyaa Albakour;Stephen Dignum;Ulises Cerviño Beresi;Maria Fasli;Anne De Roeck
Affiliations:
School of Computing and IDEAS Institute, Robert Gordon University, Aberdeen, United Kingdom;School of Computing and IDEAS Institute, Robert Gordon University, Aberdeen, United Kingdom;School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom;School of Computing and IDEAS Institute, Robert Gordon University, Aberdeen, United Kingdom;School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom;School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom;School of Computing and IDEAS Institute, Robert Gordon University, Aberdeen, United Kingdom;School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom;Departments of Mathematics and Computing, Open University, Milton Keynes, United Kingdom
Venue:
Information Processing and Management: an International Journal
Year:
2012

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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.