Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/472509
Title: | A Frame Work for Finding Ontology Based Semantic Similarity Measures |
Researcher: | S Raja |
Guide(s): | V Valli Kumari and K V S V N Raju |
Keywords: | Computer Science Computer Science Theory and Methods Engineering and Technology |
University: | Andhra University |
Completed Date: | 2014 |
Abstract: | quotSemantics is the study of linguistic meaning. Word similarity measure is a central newlineconcept for realizing the semantic web. Semantic similarity measures play a vital role newlinein QandA systems and text processing. Several Ontologies in the web contain the newlineknowledge of different domains. For retrieving relevant information from them, newlinesuitable Ontology based semantic similarity techniques are required. newlineMany techniques in literature use WordNet Ontologies for finding out word similarity newlinemeasure based on edge counting, node counting and information content. However, newlinefor finding out sentence similarity there are very few methodologies proposed in the newlinecurrent literature.quot newline newline |
Pagination: | 189 pg |
URI: | http://hdl.handle.net/10603/472509 |
Appears in Departments: | Department of Computer Science & Systems Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 49.29 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 67.93 kB | Adobe PDF | View/Open | |
03_content.pdf | 63.27 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 42.13 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 383.83 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 2.76 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 279.27 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 2.34 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 330.94 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 267.37 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 186.13 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 294.46 kB | Adobe PDF | View/Open |
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