Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/382391
Title: | A Study on Personalized Web Search Based on User Profile Using Ontology Mapping and Ranking |
Researcher: | Sangeetha, A |
Guide(s): | Nalani, C |
Keywords: | Computer Science Computer Science Software Engineering Engineering and Technology |
University: | Bharath University |
Completed Date: | 2019 |
Abstract: | Web mining is the use of the information mining is valuable to remove the learning. Web utilization mining, Web-structure mining and content-mining are the some types of Web mining. Web use mining is utilized as a part of mining the information from the web server log records. Web Personalization is one of the ranges of the Web use mining that can be characterized as conveyance of substance to a specific client or as Web personalization requires verifiably or unequivocally gathering data of the client. Utilizing that learning in your substance conveyance structure to control what data you present to your clients and how you introduce it. Personalized web search varies from bland web search, which precedes indistinguishable research results to all clients for indistinguishable inquiries, paying little mind to shifted client interests and data needs. Web search engines have completed tremendous commitments to the web and the social order. In This thesis is going to address the problem of web personalization issues in semantic web search engine. In web personalization, there are Nemours issues were found of which we address the ontology matching and ontology ranking issues, in order to improve the personalized web search. First part of this thesis discusses Ontology Matching. For all intents and purposes any claim that includes various ontologies set up semantic mappings among them, to guarantee interoperability. We decide comparability through tenets which have been encoded by philosophy specialists. These guidelines are then joined for one general outcome. We display an Ontology Matching calculation that incorporates a Word Sense Disambiguation procedure of OWL classes and gives semantic arrangements utilizing an augmentation of OWL constructors. The disambiguation procedure manufactures a system of words and connections, utilizing outside thesaurus as WordNet and Roget. We utilize the system like a portrayal of our setting for the determination of the significance. |
Pagination: | |
URI: | http://hdl.handle.net/10603/382391 |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 115 kB | Adobe PDF | View/Open |
02_cert.pdf | 113.17 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 5.79 kB | Adobe PDF | View/Open | |
05_content.pdf | 14.14 kB | Adobe PDF | View/Open | |
06_list of tables and figures.pdf | 11.42 kB | Adobe PDF | View/Open | |
07_abstract.pdf | 13.43 kB | Adobe PDF | View/Open | |
08_chapter 1.pdf | 740.95 kB | Adobe PDF | View/Open | |
09_chapter 2.pdf | 386.58 kB | Adobe PDF | View/Open | |
10_chapter 3.pdf | 233.3 kB | Adobe PDF | View/Open | |
11_chapter 4.pdf | 459.71 kB | Adobe PDF | View/Open | |
12_chapter 5.pdf | 551.3 kB | Adobe PDF | View/Open | |
13_chapter 6.pdf | 657.34 kB | Adobe PDF | View/Open | |
14_chapter 7.pdf | 201.21 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 315.54 kB | Adobe PDF | View/Open |
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