An Enhanced Multi-view Fuzzy Information Retrieval Model based on Linguistics

Citation:
Attia, Z. E., A. M. Gadallah, and H. A. Hefny, "An Enhanced Multi-view Fuzzy Information Retrieval Model based on Linguistics", International Conference on Applied Computing, Computer Science, and Computer Engineering (ICACC 2013), 31 December, 2014. copy at www.tinyurl.com/y8kwnjxy

Date Presented:

31 December

Abstract:

The paper proposes a linguistic based multi-view fuzzy ontology information retrieval model. It deals with multi-view linguistic based queries in multi domains. Such linguistics are user defined, reflecting his subjective view. The model also proposes a ranking algorithm that ranks the set of relevant documents according to some criteria such as their relevance degree, confidence degree, and updating degree.