Record number :
1229231
Title of article :
Hierarchical web resources retrieval by exploiting Fuzzy Formal Concept Analysis
Author/Authors :
Carmen De Maio، نويسنده , , Giuseppe Fenza، نويسنده , , Vincenzo Loia، نويسنده , , Sabrina Senatore and Maria I. Sessa، نويسنده ,
Issue Information :
دوماهنامه با شماره پیاپی سال 2012
Pages :
20
From page :
399
To page :
418
Abstract :
In recent years, knowledge structuring is assuming important roles in several real world applications such as decision support, cooperative problem solving, e-commerce, Semantic Web and, even in planning systems. Ontologies play an important role in supporting automated processes to access information and are at the core of new strategies for the development of knowledge-based systems. Yet, developing an ontology is a time-consuming task which often needs an accurate domain expertise to tackle structural and logical difficulties in the definition of concepts as well as conceivable relationships. This work presents an ontology-based retrieval approach, that supports data organization and visualization and provides a friendly navigation model. It exploits the fuzzy extension of the Formal Concept Analysis theory to elicit conceptualizations from datasets and generate a hierarchy-based representation of extracted knowledge. An intuitive graphical interface provides a multi-facets view of the built ontology. Through a transparent query-based retrieval, final users navigate across concepts, relations and population.
Keywords :
Fuzzy Formal Concept Analysis , Fuzzy ontology , lattice , Facet-based navigation , information retrieval
Journal title :
Information Processing and Management
Serial Year :
2012
Link To Document :
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