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Usable Web 2.0 privacy management an...

Vyas, Nitya.

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Usable Web 2.0 privacy management and Medical Imaging Search: An ontology-based approach.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Usable Web 2.0 privacy management and Medical Imaging Search: An ontology-based approach./
Author:	Vyas, Nitya.
Description:	67 p.
Notes:	Source: Masters Abstracts International, Volume: 49-01, page: 0502.
Contained By:	Masters Abstracts International49-01.
Subject:	Web Studies. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1480164
ISBN:	9781124174907

Usable Web 2.0 privacy management and Medical Imaging Search: An ontology-based approach.
Vyas, Nitya.

Usable Web 2.0 privacy management and Medical Imaging Search: An ontology-based approach. - 67 p.

Source: Masters Abstracts International, Volume: 49-01, page: 0502.

Thesis (M.S.)--Rutgers The State University of New Jersey - New Brunswick, 2010.

Ontology is the study of categorization of concepts and their relations. In this thesis, I provide insight towards an idea of using ontology-based approach for systems of which I present it in two different contexts. First application is in User Privacy Management in Web 2.0 and the other is in Medical Imaging Search. Both applications use user-defined annotations within a standard framework to achieve the desired results. The central idea of our technique is that users are not required to have prior knowledge about the structure of the ontology to use the system. In the first application we use annotated data in Web 2.0 social networking applications to predict privacy preferences of users and automatically derive policies for shared content. We carry out a series of user studies to evaluate the accuracy of our prediction techniques. Our analysis gives encouraging results on the feasibility of using annotations for privacy management in Web 2.0. The second application is a system for annotation and retrieval of medical images, and is built on semantic web standards. By annotating data according to standard medical ontologies, it allows the user to construct complex queries that utilize background knowledge from the underlying ontologies. Our ontology-based approach allows for several features not available in existing keyword-based search engines.

ISBN: 9781124174907Subjects--Topical Terms:

1026830
Web Studies.

Usable Web 2.0 privacy management and Medical Imaging Search: An ontology-based approach.
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502 $a Thesis (M.S.)--Rutgers The State University of New Jersey - New Brunswick, 2010.
520 $a Ontology is the study of categorization of concepts and their relations. In this thesis, I provide insight towards an idea of using ontology-based approach for systems of which I present it in two different contexts. First application is in User Privacy Management in Web 2.0 and the other is in Medical Imaging Search. Both applications use user-defined annotations within a standard framework to achieve the desired results. The central idea of our technique is that users are not required to have prior knowledge about the structure of the ontology to use the system. In the first application we use annotated data in Web 2.0 social networking applications to predict privacy preferences of users and automatically derive policies for shared content. We carry out a series of user studies to evaluate the accuracy of our prediction techniques. Our analysis gives encouraging results on the feasibility of using annotations for privacy management in Web 2.0. The second application is a system for annotation and retrieval of medical images, and is built on semantic web standards. By annotating data according to standard medical ontologies, it allows the user to construct complex queries that utilize background knowledge from the underlying ontologies. Our ontology-based approach allows for several features not available in existing keyword-based search engines.
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