skip to main content
Show Results with:

Similarity reasoning for the semantic web based on fuzzy concept lattices: An informal approach

Formica, A.

INFORMATION SYSTEMS FRONTIERS. VOL 15; NUMBER 3, ; 2013, 511-520 -- Springer Science + Business Media Part 3; (pages 511-520) -- 2013

Online access

  • Title:
    Similarity reasoning for the semantic web based on fuzzy concept lattices: An informal approach
  • Author: Formica, A.
  • Found In: INFORMATION SYSTEMS FRONTIERS. VOL 15; NUMBER 3, ; 2013, 511-520
  • Journal Title: INFORMATION SYSTEMS FRONTIERS.
  • Subjects: Dewey: 005.74
  • Publication Details: Springer Science + Business Media
  • Language: English
  • Abstract: Similarity Reasoning in the presence of vague information is becoming fundamental in several research areas and, in particular, in the Semantic Web. Fuzzy Formal Concept Analysis (FFCA) is a generalization of Formal Concept Analysis (FCA) for modeling uncertainty information. Although FFCA has become very interesting for supporting different activities for the development of the Semantic Web, in the literature it is usually addressed at a technical level and intended for a restricted audience. This paper proposes a similarity measure for FFCA concepts. The key notions underlying the proposed approach are presented informally, in order to reach a broad audience of readers.
  • Identifier: Journal ISSN: 1387-3326
  • Publication Date: 2013
  • Physical Description: Electronic
  • Accrual Information: Quarterly
  • Shelfmark(s): 4496.368170
  • UIN: ETOCRN333688539

Searching Remote Databases, Please Wait