Formal concept analysis in knowledge processing: A survey on applications

被引：171
作者：
Poelmans, Jonas [1 ,3 ]
Ignatov, Dmitry I. [3 ]
Kuznetsov, Sergei O. [3 ]
Dedene, Guido [1 ,2 ]
机构：
[1] Katholieke Univ Leuven, Fac Business & Econ, B-3000 Louvain, Belgium
[2] Univ Amsterdam, Sch Business, NL-1018 WB Amsterdam, Netherlands
[3] Natl Res Univ, Higher Sch Econ, Moscow 109028, Russia
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2013年 / 40卷 / 16期
关键词：
Formal concept analysis (FCA); Knowledge discovery in databases; Text mining; Applications; Systematic literature overview; CONCEPT LATTICES; CONCEPT SIMILARITY; ALIGNING ONTOLOGIES; SEMANTIC WEB; DISCOVERY; RETRIEVAL; FCA; REPRESENTATION; CONTEXT; DESIGN;
D O I：
10.1016/j.eswa.2013.05.009
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This is the second part of a large survey paper in which we analyze recent literature on Formal Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 papers published between 2003 and 2011 mentioning terms related to Formal Concept Analysis in the title, abstract and keywords. We developed a knowledge browsing environment to support our literature analysis process. We use the visualization capabilities of FCA to explore the literature, to discover and conceptually represent the main research topics in the FCA community. In this second part, we zoom in on and give an extensive overview of the papers published between 2003 and 2011 which applied FCA-based methods for knowledge discovery and ontology engineering in various application domains. These domains include software mining, web analytics, medicine, biology and chemistry data. (c) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：6538 / 6560
页数：23
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