Combining NLP and Semantics for Mining Software Technologies from Research Publications

de Ribaupierre, Hélène; Osborne, Francesco and Motta, Enrico (2016). Combining NLP and Semantics for Mining Software Technologies from Research Publications. In: WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web, International World Wide Web Conferences Steering Committee, pp. 23–24.

DOI: https://doi.org/10.1145/2872518.2889358

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.

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About

• Item ORO ID
• 45417
• Item Type
• Conference or Workshop Item
• ISBN
• 1-4503-4144-6, 978-1-4503-4144-8
• Keywords
• NLP; Semantic Web; Ontology; Digital Library; Information extraction; Data mining; Artificial Intelligence
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2016 The Authors
• Related URLs
• • http://www2016.ca/(Other)
• Depositing User
• Francesco Osborne