Document (#39739)

Author

Clark, M.
Kim, Y.
Kruschwitz, U.
Song, D.
Albakour, D.
Dignum, S.
Beresi, U.C.
Fasli, M.
Roeck, A De

Title

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

Source

Information processing and management. 48(2012) no.3, S.552-568

Year

2012

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.

Content

Beitrag in einem Themenheft "Soft Approaches to IA on the Web". Vgl.: doi:10.1016/j.ipm.2011.07.002.

Theme

Wissensrepräsentation
Computerlinguistik

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5. Bhogal, J.; Macfarlane, A.; Smith, P.: ¬A review of ontology based query expansion (2007) 0.15

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