ODESeW v2.0. A framework for developing semantic web portals.
This event took place on Thursday 24 June 2004 at 12:30
Angel Lopez-Cima Universidad Polit?cnica de Madrid
This talk presents ODESeW (*Se*mantic *W*eb Portal based on Web*ODE* platform) as an ontology-based application that automatically generates and manages a community knowledge portals, designed on the top of WebODE ontology engineering platform. This talk presents an architecture which allows: configuring a semantic portal for any type of domains; providing different functionalities for different kind of users: community users, normal users (guest) and software agents; being consistent with the underlying ontologies in real time; and, reducing the effort to produce ad-hoc portals.
This event took place on Thursday 24 June 2004 at 12:30
This talk presents ODESeW (*Se*mantic *W*eb Portal based on Web*ODE* platform) as an ontology-based application that automatically generates and manages a community knowledge portals, designed on the top of WebODE ontology engineering platform. This talk presents an architecture which allows: configuring a semantic portal for any type of domains; providing different functionalities for different kind of users: community users, normal users (guest) and software agents; being consistent with the underlying ontologies in real time; and, reducing the effort to produce ad-hoc portals.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
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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