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Combining NLP and semantics for mining software technologies from research publications

De Ribaupierre, Helene, Osborne, Francesco and Motta, Enrico 2016. Combining NLP and semantics for mining software technologies from research publications. Presented at: 25th International Conference Companion on World Wide Web, Montreal, Quebec, Canada, 11-15 April 2016. WWW '16 Companion Proceedings of the 25th International Conference Companion on World Wide Web. Association for Computing Machinery, pp. 23-24. 10.1145/2872518.2889358

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Abstract

The natural language processing (NLP) community has developed a variety of methods for extracting and disambiguating information from research publications. However, they usually focus only on standard research entities such as authors, affiliations, venues, references and keywords. We propose a novel approach, which combines NLP and semantic technologies for generating from the text of research publications an OWL ontology describing software technologies used or introduced by researchers, such as applications, systems, frameworks, programming languages, and formats. The method was tested on a sample of 300 publications in the Semantic Web field, yielding promising results.

Item Type: Conference or Workshop Item (Poster)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Association for Computing Machinery
ISBN: 9781450341448
Last Modified: 01 Jul 2019 07:43
URI: http://orca-mwe.cf.ac.uk/id/eprint/100779

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