Fuzzy OWL: Uncertainty and the Semantic Web

EFI Forest Policy Research Forum: Cross-Sectoral Policy Impacts on Forests

Giorgos Stoilos ; Giorgos Stamou ; Vassilis Tzouvaras ; Jeff Z. Pan ; Ian Horrocks

Others  :  http://CEUR-WS.org/Vol-188/sub16.pdf
PID  :  340

来源: CEUR

【 摘 要 】

In the SemanticWeb context information would be retrieved, processed, shared, reused and aligned in the maximum automatic way possible. Our experience with such applications in the Semantic Web hasshown that these are rarely a matter of true or false but rather procedures that require degrees of relatedness, similarity, or ranking. Apart from the wealth of applications that are inherently imprecise, information itself is many times imprecise or vague. For example, the concepts of a "hot" place, an "expensive" item, a "fast" car, a "near" city, are examples of such concepts. Dealing with such type of information would yield more realistic, intelligent and effective applications. In the current paper weextend the OWL web ontology language, with fuzzy set theory, in order to be able to capture, represent and reason with such type of information.