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
Ulises Cerviño Beresi
Anne De Roeck
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.
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|
|Peer Reviewed||Peer Reviewed|
|Keywords||Domain models; Information retrieval; Natural language processing; Artificial intelligence|
CLARK 2012 Automatically structuring domain
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