Reasoning with the fuzzy description logic f-SHIN: Theory, practice and applications

Giorgos Stoilos*, Giorgos Stamou, Jeff Z. Pan, Nick Simou, Vassilis Tzouvaras

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

6 Citations (Scopus)


The last couple of years it is widely acknowledged that uncertainty and fuzzy extensions to ontology languages, like Description Logics (DLs) and OWL, could play a significant role in the improvement of many Semantic Web (SW) applications. Many of the tasks of SW like trust, matching, merging, ranking usually involve confidence or truth degrees that one requires to represent and reason about. Fuzzy DLs are able to represent vague concepts such as a "Tall" person, a "Hot" place, a "MiddleAged" person, a "near" destination and many more. In the current paper we present a fuzzy extension to the DL SHIN. First, we present the semantics while latter a detailed reasoning algorithm that decides most of the key inference tasks of fuzzy-SHIN. Finally, we briefly present the fuzzy reasoning system FiRE, which implements the proposed algorithm and two use case scenarios where we have applied fuzzy DLs through FiRE.

Original languageEnglish
Title of host publicationUncertainty Reasoning for the Semantic Web I - ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers
Number of pages20
Publication statusPublished - 1 Dec 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5327 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Bibliographical note

The work of Giorgos Stoilos, Giorgos Stamou, Vassilis Tzouvaras and Nick Simou was partially supported by EU projects X-Media (FP6-26978) and BOEMIE (FP6-027538). We would also like to thank Thanos Athanasiadis for providing the image and segmentation figures.


Dive into the research topics of 'Reasoning with the fuzzy description logic f-SHIN: Theory, practice and applications'. Together they form a unique fingerprint.

Cite this