BibTeX:

@article{IJIRSTV3I3038,
     title={Survey on the Methodologies for Ontology Clustering and their Optimization Techniques},
     author={Avantika Tiwari and Ajay Kumar},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={3},
     pages={74--80},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I3038.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The text documents are vital resources for any organization. With time the collection of documents keeps on expanding and results into corpora. In document corpora research and in the field of semantic web, it is essential to examine a lot of documents or web pages in order to find relations and synonyms to realize logical differences that exist among them. Conventional data mining and information retrieval techniques are time consuming and may occupy larger space. The situation may further worsen if the text documents are gigantic in nature. In order to deal with this ordeal an alternative technique was developed known as clustering. Clustering techniques develop relations between the documents and then the documents are clustered on the basis of these relations. In this paper the survey of the various methodologies for ontology clustering has been done. The survey gave a clear understanding about the importance of partitioning huge ontologies for making information retrieval efficient.

Ontology, Clustering, FCM, K-Means, PSO, Hybrid Methods