Semantic Technology for Publication Metadata Management
This event took place on Thursday 29 June 2006 at 14:00
Peter Mika Vrije (Free) University, Amsterdam, Netherlands
Publication metadata is widely distributed on the Web across a variety of sources. A number of independent repositories (CiteSeer, DBLP etc.) provide varying qualities of information. Publishers of journals and proceedings also manage and expose metadata in a variety of ways. At the same time individual authors maintain their own private collections of bibliography listing their own works and items of interest.
Large, messy, distributed settings call for Semantic Web technology. In this presentation I try to give an overview of the problems and possible solutions of managing this complexity based on our own work on openacademia.org and work done by various organizations including Ingenta and the Nature Publishing Group.
Download presentation slides
This event took place on Thursday 29 June 2006 at 14:00
Publication metadata is widely distributed on the Web across a variety of sources. A number of independent repositories (CiteSeer, DBLP etc.) provide varying qualities of information. Publishers of journals and proceedings also manage and expose metadata in a variety of ways. At the same time individual authors maintain their own private collections of bibliography listing their own works and items of interest.
Large, messy, distributed settings call for Semantic Web technology. In this presentation I try to give an overview of the problems and possible solutions of managing this complexity based on our own work on openacademia.org and work done by various organizations including Ingenta and the Nature Publishing Group.
Download presentation slides
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We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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