Ontology plays a major role in Semantic Web to describe the meaning about data on the
web. Some inferences can be gleaned from the ontology model itself, but others may not be …

Information imprecision and uncertainty exist in many real world applications, and such
information would be retrieved, processed, shared, reused, and aligned in the maximum …

The Web is a huge information resource depository all around the world and the huge
amount of information on the Web is getting larger and larger every day. Nowadays, the Web …

The Semantic Web Rule Language (SWRL) is a direct extension of OWL 2 DL with a subset
of RuleML, and it is designed to be the rule language of the Semantic Web. This paper …

Enhancing Semantic Web technologies with ability to express uncertainty and imprecision is
widely discussed topic. While SWRL can provide additional expressivity to OWL-based …

Rule interchange has become one of the most important issues in the Semantic Web. As a
recommendation of the W3C (WWW Consortium), RIF (Rule Interchange Format) is …

Fuzziness is an important feature of knowledge in the Semantic Web. However, common
Semantic Web rule markup languages including R2ML (REWERSE Rule Markup …

Abstract RIF (Rule Interchange Format), the rule interchange recommendation of the W3C
(WWW Consortium), fails to represent and interchange fuzzy and nonmonotonic knowledge …

f-R2ML is a very important fuzzy rule markup language in the Semantic Web, which should
be included in the f-RIF interchange framework. However, there are heterogeneous …

The aim of using semantic technologies in domain knowledge modeling is to introduce the
semantic meaning of concepts in knowledge bases, such that they are both human-readable …