A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering

Rani, Monika; Muyeba, Maybin K.; Vyas, O. P.

Abstract

One of the challenges in information retrieval is providing accurate answers to a user’s question often expressed as uncertainty words. Most answers are based on a Syntactic approach rather than a Semantic analysis of the query. In this paper our objective is to present a hybrid approach for a Semantic question answering retrieval system using Ontology Similarity and Fuzzy logic. We use a Fuzzy Co-clustering algorithm to retrieve collection of documents based on Ontology Similarity. Fuzzy scale uses Fuzzy type-1 for documents and Fuzzy type-2 for words to prioritize answers. The objective of this work is to provide retrieval systems with more accurate answers than non-fuzzy Semantic Ontology approach.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: ICACNI 2014 : 2nd International Conference on Advanced Computing, Networking, and Informatics
• Start Date: Jun 24, 2014
• End Date: Jun 26, 2014
• Publication Date: Jun 16, 2014
• Deposit Date: Apr 1, 2025
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 1
• Pages: 601-609
• Series Title: Smart Innovation, Systems and Technologies
• Series Number: 27
• Series ISSN: 2190-3026
• Book Title: Advanced Computing, Networking and Informatics
• ISBN: 9783319073521; 978-3-319-38227-2
• DOI: https://doi.org/10.1007/978-3-319-07353-8_69