Expertise mining from scientific literature

Paul Buitelaar, Thomas Eigner

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

6 Citations (Scopus)

Abstract

We describe an approach to pattern-based expertise topic extraction from publicly available scientific publications using Google Scholar. The approach is based on the observation that in the scientific text genre expertise topics will occur frequently in the context of particular phrasings that introduce them, such as 'method for', 'approach to', etc. The extracted knowledge can be used to analyze research structure in terms of expertise topics, researchers associated with these and relations between them.

Original languageEnglish
Title of host publicationK-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture
Pages171-172
Number of pages2
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event5th International Conference on Knowledge Capture, K-CAP'09 - Redondo Beach, CA, United States
Duration: 1 Sep 20094 Sep 2009

Publication series

NameK-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture

Conference

Conference5th International Conference on Knowledge Capture, K-CAP'09
Country/TerritoryUnited States
CityRedondo Beach, CA
Period1/09/094/09/09

Keywords

  • Expertise
  • Information extraction
  • Science text
  • Text mining

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