3 research outputs found
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 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
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 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
Organization and Usage of Learning Objects within Personal Computers
Research report of the ProLearn Network of Excellence (IST 507310), Deliverable 7.6To promote the integration of Desktop related Knowledge Management and Technology Enhanced Learning this deliverable aims at increasing the awareness of Desktop research within the Professional Learning community and at familiarizing the e-Learning researchers with the state-of-the-art in the relevant areas of Personal Information Management (PIM), as well as with the currently on-going activities and some of the regular PIM publication venues