Integration of Online Ontologies Using Combined Ranking Algorithm
C. K. Sarumathy1, J. Gokulraj2, P. Selvaperumal3
1C. K. Sarumathy P.G Scholar, Department of CSE, Sona College of Technology, Salem, Tamil Nadu, India.
2J. Gokulraj, Assistant Professor, Department of IT, V.S.B Engineering College, Karur, Tamil Nadu, India.
3P. Selvaperumal, Assistant Professor, V.S.B Engineering College, Karur. Tamil Nadu, India.
Manuscript received on November 17, 2011. | Revised Manuscript received on November 29, 2011. | Manuscript published on January 05, 2012. | PP: 1-4 | Volume-1 Issue-6, January 2012. | Retrieval Number: D0118081411
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the Semantic Web, knowledge representation is largely based on ontologies. Ontology should be constructed in a way such that it should meet the requirements of the users. The main difficulty involved in the construction of ontologies is the high cost incurred in building them. Gathering complete knowledge about a specific domain requires more time and it doesn’t guarantee that the resulting ontology will be better than the existing ontologies. Hence, an approach for reusing the existing ontologies to build new ontologies has been proposed. This process makes use of the following steps: identification of existing ontologies, use of combined ranking algorithm (OntoRank+AKTive),segmentation and integration. As a result, best quality ontology can be obtained.
Keywords: AKTive Rank, Extraction, Fragmentation, Onto Rank, Reusability.