Fuzzy Ontology for Document Clustering Using Term Vector Techniques

  • K Gurnadha Guptha Sri Indu College of Engg and Technology,
  • Vidyasagar V Vuna Sri Indu College of Engg and Technology
  • A srinivas Sri Indu College of Engg and Technology
  • V.Nikesh Kumar Reddy Sri Indu College of Engg and Technology
DOI: https://doi.org/10.53555/cse.v1i6.938
Keywords: Term Vector, Term Weighting, Cross Lingual Information System, TF-IDF, Scatter Gather Algorithm, Wordnet Dictionary

Abstract

The paper is a study on term Vector technique for Information Retrieval System. The resulting
paper is the study of predefined multi-view fuzzy ontology over Distributed Document Clusters.
The Term vector technique helps certain vies to solve problems faced in the current information
retrieval systems. The paper addresses on in-effective use of a human time in analyzing and
referencing to the names in a search expression. The resulting topic inherits lower level
evidences like Cosine similarity, Term Weighting and arises to the new conceptual model called
Term Vectors by repeated top-rank measures like TFIDF ( Term Frequency/ Inverse Document
Frequency) measure, Awards in the field, Parsers and External links and Cross Lingual
Information System by helping to bring a good text recognition in comparison. The test results in
fair and reliable measures and enhances weighted accuracies.

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Author Biographies

K Gurnadha Guptha, Sri Indu College of Engg and Technology,

Assistant Professor, Computer Science Engineering,

Vidyasagar V Vuna, Sri Indu College of Engg and Technology

Assistant Professor, Computer Science Engineering,

A srinivas, Sri Indu College of Engg and Technology

Assistant Professor, Computer Science Engineering,

V.Nikesh Kumar Reddy, Sri Indu College of Engg and Technology

Assistant Professor, Information Technology,

Published
2015-06-30
How to Cite
Guptha, K. G., Vuna, V. V., srinivas, A., & Reddy, V. K. (2015). Fuzzy Ontology for Document Clustering Using Term Vector Techniques. IJRDO -Journal of Computer Science Engineering, 1(6), 10-16. https://doi.org/10.53555/cse.v1i6.938
Issue
Vol. 1 No. 6 (2015): IJRDO - Journal of Computer Science Engineering
Section
Articles

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