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

Clark, Malcolm; Kim, Yunhyong; Kruschwitz, Udo; Song, Dawei; Albakour, Dyaa; Dignum, Stephen; Beresi, Ulises Cerviño; Fasli, Maria; Roeck, Anne De

Authors

Malcolm Clark

Yunhyong Kim

Udo Kruschwitz

Dawei Song

Dyaa Albakour

Stephen Dignum

Ulises Cerviño Beresi

Maria Fasli

Anne De Roeck



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.

Citation

CLARK, M., KIM, Y., KRUSCHWITZ, U., SONG, D., ALBAKOUR, D., DIGNUM, S., BERESI, U. C., FASLI, M. and DE ROECK, A. 2012. Automatically structuring domain knowledge from text: an overview of current research. Information processing and management [online], 48(3), pages 552-568. Available from:https://doi.org/10.1016/j.ipm.2011.07.002

Journal Article Type Article
Acceptance Date May 31, 2012
Online Publication Date May 31, 2012
Publication Date May 31, 2012
Deposit Date Mar 13, 2015
Publicly Available Date Mar 13, 2015
Journal Information processing and management
Print ISSN 0306-4573
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 48
Issue 3
Pages 552-568
DOI https://doi.org/10.1016/j.ipm.2011.07.002
Keywords Domain models; Information retrieval; Natural language processing; Artificial intelligence
Public URL http://hdl.handle.net/10059/1165

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