Towards Technology Structure Mining from Scientific Literature
Identifieur interne : 000644 ( Main/Exploration ); précédent : 000643; suivant : 000645Towards Technology Structure Mining from Scientific Literature
Auteurs : Behrang Qasemizadeh [Irlande (pays)]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: This paper introduces the task of Technology-Structure Mining to support Management of Technology. We propose a linguistic based approach for identification of Technology Interdependence through extraction of technology concepts and relations between them. In addition, we introduce Technology Structure Graph for the task formalization. While the major challenge in technology structure mining is the lack of a benchmark dataset for evaluation and development purposes, we describes steps that we have taken towards providing such a benchmark. The proposed approach is initially evaluated and applied in the domain of Human Language Technology and primarily results are demonstrated. We further explain plans and research challenges for evaluation of the proposed task.
Url:
DOI: 10.1007/978-3-642-17749-1_21
Affiliations:
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