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2009
Springer

Automatic Detection of Terminology Evolution

9 years 2 months ago
Automatic Detection of Terminology Evolution
As archives contain documents that span over a long period of time, the language used to create these documents and the language used for querying the archive can differ. This difference is due to evolution in both terminology and semantics and will cause a significant number of relevant documents being omitted. A static solution is to use query expansion based on explicit knowledge banks such as thesauri or ontologies. However as we are able to archive resources with more varied terminology, it will be infeasible to use only explicit knowledge for this purpose. There exist only few or no thesauri covering very domain specific terminologies or slang as used in blogs etc. In this Ph.D. thesis we focus on automatically detecting terminology evolution in a completely unsupervised manner as described in this technical paper.
Nina Tahmasebi
Added 27 May 2010
Updated 27 May 2010
Type Conference
Year 2009
Where OTM
Authors Nina Tahmasebi
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