Reasoning with the Fuzzy Description Logic f-SHIN\mathcal{SHIN}: Theory, Practice and Applications
msra
摘要
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\mathcal{SHIN}
. First, we present the semantics while latter a detailed reasoning algorithm that decides most of the key inference tasks
of fuzzy-
SHIN\mathcal{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.
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