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

Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 27)


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.


Question and Answering Fuzzy Ontology Fuzzy type-1 Fuzzyc type-2 Semantic Web 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Indian Institute of Information TechnologyAllahabadIndia
  2. 2.School of Computing, Mathematics and Digital TechnologyManchester Metropolitan UniversityManchesterU.K

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