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Mining Multiword Terms from Wikipedia
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Author(s): Silvana Hartmann (Technische Universität Darmstadt, Germany), György Szarvas (Technische Universität Darmstadt, Germany & Research Group on Artificial Intelligence, Hungarian Academy of Sciences, Hungary)and Iryna Gurevych (Technische Universität Darmstadt, Germany)
Copyright: 2012
Pages: 33
Source title:
Semi-Automatic Ontology Development: Processes and Resources
Source Author(s)/Editor(s): Maria Teresa Pazienza (University of Roma Tor Vergata, Italy)and Armando Stellato (University of Roma Tor Vergata, Italy)
DOI: 10.4018/978-1-4666-0188-8.ch009
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Abstract
The collection of the specialized vocabulary of a particular domain (terminology) is an important initial step of creating formalized domain knowledge representations (ontologies). Terminology Extraction (TE) aims at automating this process by collecting the relevant domain vocabulary from existing lexical resources or collections of domain texts. In this chapter, the authors address the extraction of multiword terminology, as multiword terms are very frequent in terminology but typically poorly represented in standard lexical resources. They present their method for mining multiword terminology from Wikipedia and the freely available terminology resource that they extracted using the presented method. Terminology extraction based on Wikipedia exploits the advantages of a huge multilingual, domain-transcending knowledge source and large scale structural information that can identify potential multiword units without the need for linguistic processing tools. Thus, while evaluated in English, the proposed method is basically applicable to all languages in Wikipedia.
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