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

^*Corresponding author for this work

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

38 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 and Management
Volume	48
Issue number	3
DOIs	https://doi.org/10.1016/j.ipm.2011.07.002
Publication status	Published - May 2012
Externally published	Yes

Keywords

Artificial intelligence
Domain models
Information retrieval
Natural language processing

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10.1016/j.ipm.2011.07.002

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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.",

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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 - Artificial intelligence

KW - Domain models

KW - Information retrieval

KW - Natural language processing

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IS - 3

ER -

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

Abstract

Keywords

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