Paper Info
Title
Text mining scientific papers: a survey on FCA-Based information retrieval research
Abstract
Formal Concept Analysis (FCA) is an unsupervised clustering technique and many scientific papers are devoted to applying FCA in Information Retrieval (IR) research. We collected 103 papers published between 2003-2009 which mention FCA and information retrieval in the abstract, title or keywords. Using a prototype of our FCA-based toolset CORDIET, we converted the pdf-files containing the papers to plain text, indexed them with Lucene using a thesaurus containing terms related to FCA research and then created the concept lattice shown in this paper. We visualized, analyzed and explored the literature with concept lattices and discovered multiple interesting research streams in IR of which we give an extensive overview. The core contributions of this paper are the innovative application of FCA to the text mining of scientific papers and the survey of the FCA-based IR research.
Year
DOI
Venue
2012
10.1007/978-3-642-31488-9_22
Industrial Conference on Data Mining - Poster and Industry Proceedings
Keywords
DocType
Citations 
fca research,formal concept analysis,text mining,scientific paper,plain text,concept lattice,fca-based toolset,information retrieval,text mining scientific paper,fca-based information retrieval research,fca-based ir research,multiple interesting research stream
Conference
13
PageRank 
References 
Authors
0.59
51
5
Name
Order
Citations
PageRank
Jonas Poelmans127719.28
Dmitry I. Ignatov223929.53
Stijn Viaene372260.17
Guido Dedene492583.39
Sergei O. Kuznetsov51630121.46