Cheating to achieve Formal Concept analysis over a large formal context

Victor Codocedo, Carla Taramasco, Hernán Astudillo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

Abstract

Researchers are facing one of the main problems of the Information Era. As more articles are made electronically available, it gets harder to follow trends in the different domains of research. Cheap, coherent and fast to construct knowledge models of research domains will be much required when information becomes unmanageable. While Formal Concept Analysis (FCA) has been widely used on several areas to construct knowledge artifacts for this purpose [17] (Ontology development, Information Retrieval, Software Refactoring, Knowledge Discovery), the large amount of documents and terminology used on research domains makes it not a very good option (because of the high computational cost and humanly-unprocessable output). In this article we propose a novel heuristic to create a taxonomy from a large term-document dataset using Latent Semantic Analysis and Formal Concept Analysis. We provide and discuss its implementation on a real dataset from the Software Architecture community obtained from the ISI Web of Knowledge (4400 documents).

Original languageEnglish
Title of host publicationCLA 2011 - Proceedings of the 8th International Conference on Concept Lattices and Their Applications
EditorsVilem Vychodil, Amedeo Napoli
PublisherCEUR-WS
Pages349-362
Number of pages14
ISBN (Electronic)9782905267788
Publication statusPublished - 2011
Externally publishedYes
Event8th International Conference on Concept Lattices and Applications, CLA 2011 - Nancy, France
Duration: 17 Oct 201120 Oct 2011

Publication series

NameCEUR Workshop Proceedings
Volume959
ISSN (Print)1613-0073

Conference

Conference8th International Conference on Concept Lattices and Applications, CLA 2011
Country/TerritoryFrance
CityNancy
Period17/10/1120/10/11

ASJC Scopus subject areas

  • Computer Science(all)

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