Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Fuzzy Relational Systems: Foundations and Principles
Fuzzy Relational Systems: Foundations and Principles
Ontology Learning by Clustering Based on Fuzzy Formal Concept Analysis
COMPSAC '07 Proceedings of the 31st Annual International Computer Software and Applications Conference - Volume 01
Ontology-based fuzzy retrieval for digital library
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
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Taxonomies and, more generally, ontologies, are at the core of the semantic web. In practice, it is rare to find data with meta-data markup in accordance with a full ontology, due to the intensive manual effort involved in the production and maintenance of both the ontology and the data. In many cases, however, data is stored in XML documents or relational tables with implicit taxonomic information such as product type, location, business category, etc. In this work we aim to use methods from formal concept analysis (FCA) to extract such embedded taxonomies, as a starting point for creation of a formal ontology or for further processing of the data. Due to noise, data incompleteness, etc, a soft computing approach is necessary for all but the simplest cases.