Clark, Malcolm and Kim, Yunhyong and Kruschwitz, Udo and Song, Dawei and Albakour, Dyaa and Dignum, Stephen and Beresi, Ulises Cerviño and Fasli, Maria and De Roeck, Anne (2012) Automatically structuring domain knowledge from text: An overview of current research. Information Processing & Management, 48 (3). pp. 552-568. DOI https://doi.org/10.1016/j.ipm.2011.07.002
Clark, Malcolm and Kim, Yunhyong and Kruschwitz, Udo and Song, Dawei and Albakour, Dyaa and Dignum, Stephen and Beresi, Ulises Cerviño and Fasli, Maria and De Roeck, Anne (2012) Automatically structuring domain knowledge from text: An overview of current research. Information Processing & Management, 48 (3). pp. 552-568. DOI https://doi.org/10.1016/j.ipm.2011.07.002
Clark, Malcolm and Kim, Yunhyong and Kruschwitz, Udo and Song, Dawei and Albakour, Dyaa and Dignum, Stephen and Beresi, Ulises Cerviño and Fasli, Maria and De Roeck, Anne (2012) Automatically structuring domain knowledge from text: An overview of current research. Information Processing & Management, 48 (3). pp. 552-568. DOI https://doi.org/10.1016/j.ipm.2011.07.002
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. © 2011 Elsevier Ltd. All rights reserved.
Item Type: | Article |
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Uncontrolled Keywords: | Domain models; Information retrieval; Natural language processing; Artificial intelligence |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 15 Aug 2012 11:40 |
Last Modified: | 30 Oct 2024 19:47 |
URI: | http://repository.essex.ac.uk/id/eprint/3612 |