Hierarchical web resources retrieval by exploiting Fuzzy Formal Concept Analysis

被引:69
|
作者
De Maio, Carmen [1 ]
Fenza, Giuseppe [1 ]
Lola, Vincenzo [1 ]
Senatore, Sabrina [1 ]
机构
[1] Univ Salerno, Dipartimento Matemat & Informat, I-84084 Fisciano, SA, Italy
关键词
Fuzzy Formal Concept Analysis; Fuzzy ontology; Lattice; Facet-based navigation; Information Retrieval; LATTICES;
D O I
10.1016/j.ipm.2011.04.003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:399 / 418
页数:20
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