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

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

doi:10.1016/j.ipm.2011.07.002

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

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

UHI Moray

Research output: Contribution to journal › Article › peer-review

37 Citations (Scopus)

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.

Original language	English
Pages (from-to)	552-568
Number of pages	17
Journal	Information Processing & Management
Volume	48
Issue number	3
Early online date	3 Aug 2011
DOIs	https://doi.org/10.1016/j.ipm.2011.07.002 https://doi.org/10.1016/j.ipm.2011.07.002
Publication status	Published - May 2012

Keywords

Domain models
Information retrieval
Natural language processing
Artificial intelligence

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Cite this

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title = "Automatically structuring domain knowledge from text: An overview of current research",

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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AU - Clark, Malcolm

AU - Kim, Yunhyong

AU - Kruschwitz, Udo

AU - Song, Dawei

AU - Albakour, Dyaa

AU - Dignum, Stephen

AU - Beresi, Ulises Cerviño

AU - Fasli, Maria

AU - De Roeck, Anne

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AB - 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.

KW - Domain models

KW - Information retrieval

KW - Natural language processing

KW - Artificial intelligence

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

Abstract

Keywords

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