کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
386103 | 660877 | 2010 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Representation and reasoning of context-dependant knowledge in distributed fuzzy ontologies Representation and reasoning of context-dependant knowledge in distributed fuzzy ontologies](/preview/png/386103.png)
Most of current knowledge based systems manage impressive amounts of information (especially distributed fuzzy information). In addition to widely pointed-out integration and maintenance difficulties, other common problem is overwhelming of users with much more information than the strictly necessary for fulfilling a task. This issue has been pointed out with the name of “information overload”. Use of context knowledge has been envisioned as an appropriate solution to deal with this information overload matter. In this paper, we present a distributed fuzzy context-domain relevance (DFCDR) model for representation in fuzzy ontologies relevance relations between fuzzy context ontology and distributed fuzzy domain ontologies. In fact, the DFCDR model is a distributed fuzzy extension of the context-domain relevance (CDR) model.
Journal: Expert Systems with Applications - Volume 37, Issue 8, August 2010, Pages 6052–6060