The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Semantic/Fuzzy Information Retrieval System
Abstract
In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.
Related Content
Hrithik Raj, Ritu Punhani, Ishika Punhani.
© 2023.
31 pages.
|
Divi Anand, Isha Kaushik, Jasmehar Singh Mann, Ritu Punhani, Ishika Punhani.
© 2023.
21 pages.
|
Jayanthi G., Purushothaman R..
© 2023.
10 pages.
|
Anshika Gupta, Shuchi Sirpal.
© 2023.
14 pages.
|
Reet Kaur Kohli, Seneha Santoshi, Sunishtha S. Yadav, Vandana Chauhan.
© 2023.
13 pages.
|
Poonam Tanwar.
© 2023.
14 pages.
|
Monika Mehta, Shivani Mishra, Santosh Kumar, Muskaan Bansal.
© 2023.
16 pages.
|
|
|