Journal ArticleDOI
Review: Formal concept analysis in knowledge processing: A survey on applications
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This second part of a large survey paper analyzes recent literature on Formal Concept Analysis (FCA) and some closely related disciplines using FCA and uses the visualization capabilities of FCA to explore the literature, to discover and conceptually represent the main research topics in the FCA community.Abstract:
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.read more
Citations
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Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning
TL;DR: This study shows that use of ontology for knowledge representation in e-learning recommender systems can improve the quality of recommendations and hybridization of knowledge-based recommendation with other recommendation techniques can enhance the effectiveness of e- learning recommenders.
Journal ArticleDOI
The connections between three-way and classical concept lattices
Jianjun Qi,Ting Qian,Ling Wei +2 more
TL;DR: The necessary and sufficient conditions used to construct three-way concepts on the basis of classical concepts are proved, and the algorithms building three- way concept lattices on the based of classical concept lattice are presented.
Ontology-based concept similary in Formal Concept Analysis
TL;DR: An ontology-based method for assessing similarity between FCA concepts is proposed and is intended to support the ontology engineer in difficult activities that are becoming fundamental in the development of the Semantic Web.
Journal ArticleDOI
A comparative study of multigranulation rough sets and concept lattices via rule acquisition
TL;DR: This study investigates the relationship between multigranulation rough sets and concept lattices via rule acquisition and algorithm complexity analysis is made for the acquisition of "AND" decision rules, "OR" decisionrules, granular rules and disjunctive rules.
Journal ArticleDOI
Review: Formal Concept Analysis in knowledge processing: A survey on models and techniques
Jonas Poelmans,Jonas Poelmans,Sergei O. Kuznetsov,Dmitry I. Ignatov,Guido Dedene,Guido Dedene +5 more
TL;DR: This is the first part of a large survey paper in which recent literature on Formal Concept Analysis (FCA) is analyzed and an extensive overview of the papers published between 2003 and 2011 on developing FCA-based methods for knowledge processing is given.
References
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Journal ArticleDOI
Toward principles for the design of ontologies used for knowledge sharing
TL;DR: The role of ontology in supporting knowledge sharing activities is described, and a set of criteria to guide the development of ontologies for these purposes are presented, and it is shown how these criteria are applied in case studies from the design ofOntologies for engineering mathematics and bibliographic data.
Book
Formal Concept Analysis: Mathematical Foundations
TL;DR: This is the first textbook on formal concept analysis that gives a systematic presentation of the mathematical foundations and their relation to applications in computer science, especially in data analysis and knowledge processing.
Posted Content
Using Information Content to Evaluate Semantic Similarity in a Taxonomy
TL;DR: In this article, a new measure of semantic similarity in an IS-A taxonomy based on the notion of information content is presented, and experimental evaluation suggests that the measure performs encouragingly well (a correlation of r = 0.79 with a benchmark set of human similarity judgments, with an upper bound of r < 0.90 for human subjects performing the same task).
Lecture Notes in Artificial Intelligence
P. Brezillon,P. Bouquet +1 more
TL;DR: The topics in LNAI include automated reasoning, automated programming, algorithms, knowledge representation, agent-based systems, intelligent systems, expert systems, machine learning, natural-language processing, machine vision, robotics, search systems, knowledge discovery, data mining, and related programming languages.
Proceedings Article
Using information content to evaluate semantic similarity in a taxonomy
TL;DR: This paper presents a new measure of semantic similarity in an IS-A taxonomy, based on the notion of information content, which performs encouragingly well and is significantly better than the traditional edge counting approach.