Research on Automatic Fuzzy Ontology Generation for world wide Web

Dr. K.SRIKANTH; J.ANITHA; CH. HEYMARAJU

Research on Automatic Fuzzy Ontology Generation for world wide Web

Dr. K.SRIKANTH * §

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J.ANITHA ‡

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CH. HEYMARAJU ¶

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saihari08 §

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battula.sasi §

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§ GIT,GITAM University, Visakhapatnam

‡ Andhra University

¶ GIT, GITAM University

Research on Automatic Fuzzy Ontology Generation for world wide Web

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Abstract

Ontology is an effective conceptualism commonly used for the World Wide Web. Fuzzy logic can be incorporated to ontology to represent uncertainty information. To tackle this problem, this paper proposes the FOGA (Fuzzy Ontology Generation framework) for automatic generation of fuzzy ontology on uncertainty information. The FOGA framework comprises the following components: Fuzzy Formal Concept Analysis, Concept Hierarchy Generation, and Fuzzy Ontology Generation. We also discuss approximating reasoning for incremental enrichment of the ontology with new upcoming data. Finally, a fuzzy-based technique for integrating other attributes of database to the ontology is proposed.

References

13 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. K.SRIKANTH, J.ANITHA, CH. HEYMARAJU, saihari08, battula.sasi. 1970. "Research on Automatic Fuzzy Ontology Generation for world wide Web". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 14).

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GJCST Volume 10 Issue 14

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Submission ReceivedFebruary 4, 2010
Peer Review Double Blind
Handling Editor
Accepted February 28, 2010
Published October 14, 2010

Version of record

v1.2

Issue date

October 14, 2010

Language

English

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Article Matrices

Total Score: 150

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. K.SRIKANTH,J.ANITHA,CH. HEYMARAJU,A.HARISH,B.SASIKANTH (PhD/Dr. count: 1)

View Count (all-time): 180

Total Views (Real + Logic): 4866

Total Downloads (simulated): 249

Publish Date: 2010 03, Mon

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Total Views: 4.9K

Total Downloads: 249

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