AINov 14, 2018
An Introduction to Fuzzy & Annotated Semantic Web Languages
arXiv:1811.05724v1
Originality Synthesis-oriented
AI Analysis
This is an incremental survey paper that organizes and generalizes existing fuzzy Semantic Web techniques for researchers in knowledge representation.
The paper surveys existing methods for representing and reasoning with fuzzy knowledge in Semantic Web languages like RDF/RDFS, OWL 2, and rule languages, and extends these approaches to annotation domains that include temporal and provenance extensions.
We present the state of the art in representing and reasoning with fuzzy knowledge in Semantic Web Languages such as triple languages RDF/RDFS, conceptual languages of the OWL 2 family and rule languages. We further show how one may generalise them to so-called annotation domains, that cover also e.g. temporal and provenance extensions.