| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 405250 | Knowledge-Based Systems | 2012 | 8 Pages |
Abstract
Fuzzy Formal Concept Analysis (FFCA) is a generalization of Formal Concept Analysis (FCA) for modeling uncertainty information. FFCA provides a mathematical framework which can support the construction of formal ontologies in the presence of uncertainty data for the development of the Semantic Web. In this paper, we show how rough set theory can be employed in combination with FFCA to perform Semantic Web search and discovery of information in the Web.
► In this paper Semantic Web search is addressed. ► It is supported by rough set theory and Fuzzy Formal Concept Analysis. ► The combination of these theories allows the user maximum flexibility in Web search.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Anna Formica,