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Annotea is a W3C Semantic Web Advanced Development project that provides a framework for rich communication about Web pages through shared RDF metadata. An RDF model of bookmark classification permits multiple classification systems to be related to each
Announcing Vyew 2.0: Free Web Conferencing and Always-On Collaboration * 100% Browser-based - No downloads or installs * Shared viewing of: DOCs, PPTs, XLSs, JPGs, PDFs and more * Real-time Desktop Sharing and Screen Capturing * Tools to Whiteboard, Draw
Diigo is about "Social Annotation", a superset of social bookmarking. We believe that the social annotation service provided by Diigo can really enhance your experience for online browsing and interactions, and for information gathering and sharing.
Lexical ambiguity is a fundamental problem in Information Retrieval (IR), especially in the medical domain. Many systems use a subset of the words contained in the document to represent the content, but they are faced with the problem of ambiguity.
Annotea is a W3C Semantic Web Advanced Development project that provides a framework for rich communication about Web pages through shared RDF metadata. An RDF model of bookmark classification permits multiple classification systems to be related to each
This paper presents an approach to semi-automate photo annotation. Instead of using content-recognition techniques this approach leverages context information available at the scene of the photo such as time and location in combination with existing photo annotations to provide suggestions to the user. An algorithm exploits a number of technologies including Global Positioning System (GPS), Semantic Web, Web services and Online Social Networks, considering all information and making a best-eort attempt to suggest both people and places depicted in the photo. The user then selects which of the suggestions are correct to annotate the photo. This process accelerates the photo annotation process dramatically which in turn aids photo search for a wide range of query tools that currently trawl the millions of photos on the Web.
An approach focussed on resolving identity of
subjects in a photo using mobile device connectivity,
Web services and social network ontologies is
presented in this paper. A framework is described in
which mobile device sensors, Web services and
ontologies are combined to provide meaningful photo
annotation metadata that can be used to recall photos
from the Web. Useful metadata can be gleaned from
the environment at the time of capture and further
information inferred from available Web services.
Basically, its an RDF-based web annotations system.
Three JISC-funded projects have a requirement to allow people to annotate events and other things. The projects are:
* Collaborative Research on the Web (CREW) - University of Bristol and University of Manchester
* Semantic Tools for Screen Arts Research (STARS) - University of Bristol
* Integration Project (CIP) - University of Bristol
The Caboto project was setup to create a collaborative effort to fulfill the requirements of CREW, STARS and CIP.
The requirements from the JISC projects:
* CREW Events Requirements
* CIP Requirements
* STARS Requirements
The project is in the early stages but its is possible to obtain and run the project:
Unstructured Information Management applications are software systems that analyze large volumes of unstructured information in order to discover knowledge that is relevant to an end user. An example UIM application might ingest plain text and identify entities, such as persons, places, organizations; or relations, such as works-for or located-at.