A Transparent, Reputation-Based Architecture for Semantic Web Annotation

New forms of conceiving the web such as web 2.0 and the semantic web have emerged for numerous purposes ranging from professional activities to leisure. The semantic web is based on associating concepts with web pages, rather than only identifying hyperlinks and repeated literals. ITACA is a project...

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Detalles Bibliográficos
Autor: Subirats Maté, Laia
Tipo de recurso: tesis de maestría
Fecha de publicación:2009
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2099.1/7626
Acceso en línea:https://hdl.handle.net/2099.1/7626
Access Level:acceso abierto
Palabra clave:Semantic Web
Collaborative systems
Semantic annotation
Web semàntica
Àrees temàtiques de la UPC::Informàtica::Enginyeria del software
Descripción
Sumario:New forms of conceiving the web such as web 2.0 and the semantic web have emerged for numerous purposes ranging from professional activities to leisure. The semantic web is based on associating concepts with web pages, rather than only identifying hyperlinks and repeated literals. ITACA is a project whose aim is to add semantic annotations to web pages, where semantic annotations are Wikipedia URLs. Therefore, users can write, read and vote on semantic annotations of a webpage. Semantic annotations of a webpage are ranked according to users' votes. Building upon the ITACA project, we propose a transparent, reputation-based architecture. With this proposal, semantic annotations are stored in the users' local machines instead of web servers, so that web servers transparency is preserved. To achieve transparency, an indexing server is added to the architecture to locate semantic annotations. Moreover, users are grouped into reputation domains, providing accurate semantic annotation ranking when retrieving annotations of a web page. Cache copies of semantic annotations in annotation servers are done to improve eficiency of the algorithm, reducing the number of sent messages.