Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 11, November 2014
Measuring and Comparing Semantic Structure of Ontology
Nirmitee N. Kurhekar, Prof. L. J. Sankpal
Ontologies which are already constructed can be reused. Ontology reuse offers great benefits by measuring and comparing ontologies. A fundamental operation in ontology reuse is to compute similarity and dissimilarity among ontological entities such that one can establish certain level of correlation between ontological entities used in different ontologies by predefined measures and semantic comparison. Using Graph Derivation Based Approach, semantic structure of two or more ontologies can be compared and measured. In this paper, the novel method called as Graph Walk Based Method is used to compare and measure the semantic structure of the ontologies. This method compares the similarity with polysemy and toponymy. It re-rank the path covered in graph walk. It integrates the textual and structured elements of the data. The graph representation is modular and it is straightforward to extend the graph schema to include other information sources available, such as concepts that represent activities, relations that correspond to domain, etc. While the graph walk and weight tuning effectively model concept associations, re-ranking allows further flexibility in adapting the generated similarity measure to different tasks using high-level and task-specific information.
Keywords: Ontology, Semantic Structure, Re-ranking, Ontology Measures
Edition: Volume 3 Issue 11, November 2014
Pages: 2297 - 2299
How to Cite this Article?
Nirmitee N. Kurhekar, Prof. L. J. Sankpal, "Measuring and Comparing Semantic Structure of Ontology", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=OCT141467, Volume 3 Issue 11, November 2014, 2297 - 2299
100 PDF Views | 87 PDF Downloads
Similar Articles with Keyword 'Ontology'
Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014
Pages: 2297 - 2299Measuring and Comparing Semantic Structure of Ontology
Nirmitee N. Kurhekar, Prof. L. J. Sankpal
Review Papers, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015
Pages: 3156 - 3159Review on Multi Document Summarization Using Ontology
Rajshree S Hingane, Devendra P Gadekar
Research Paper, Computer Science & Engineering, Mexico, Volume 8 Issue 8, August 2019
Pages: 2066 - 2070Construction of an Owl Ontology with the Prot?g? Development Environment
Vanesa Tenopala Zavala, Jose Crispn Hernandez Hernandez, Perfecto Malaquias Quintero Flores, Oscar Atriano Ponce
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015
Pages: 2095 - 2097Trust Evaluation by Mining of E-commerce Feedback Comments
Priyanka Kumbhar, Manjushri Mahajan
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 3, March 2015
Pages: 2435 - 2437Semantic Information Extraction From Ontology Using Natural Language Query Processing
Sudarshan D. Awale, S. J. Karale
Similar Articles with Keyword 'Re-ranking'
Research Paper, Computer Science & Engineering, India, Volume 5 Issue 6, June 2016
Pages: 1721 - 1725A Novel Bag-of-Object Retrieval Model To Predict Image Relevance
Gouri K. Ghadge, G. J. Chhajed
Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014
Pages: 2297 - 2299Measuring and Comparing Semantic Structure of Ontology
Nirmitee N. Kurhekar, Prof. L. J. Sankpal
Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 11, November 2016
Pages: 1578 - 1582A Survey Paper on To Retrieve the Relevant Images according to Re-Ranking of Images with Click based Similarity and Typicality
Deepak B. Waghchaure, K. N. Shedge
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015
Pages: 2623 - 2626A Novel Image Searching/Retrieving Approach using Sample Image and Text
Apurva S. Gomashe, R. R. Keole
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 7, July 2015
Pages: 2192 - 2195Web-based Image Search using Query-Specific Semantic Signatures
Dipak Pardhi, Prajakta Raghunath Pachpande