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

36Citations
Citations of this article
167Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Clark, M., Kim, Y., Kruschwitz, U., Song, D., Albakour, D., Dignum, S., … De Roeck, A. (2012). Automatically structuring domain knowledge from text: An overview of current research. Information Processing and Management, 48(3), 552–568. https://doi.org/10.1016/j.ipm.2011.07.002

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free