Tech Reports
Tech Report kmi-01-11 Abstract
On the integration of technologies for capturing and navigating knowledge with ontology-driven services
Techreport ID: kmi-01-11
Date: 2001
Author(s): Yannis Kalfoglou, John Domingue, Leslie Carr, Enrico Motta, Maria Vargas-Vera, Simon Buckingham Shum
"Nowadays, many distinct communities are researching on technologies for knowledge capturing, modelling, and navigation. Moreover, advances in Internet technology makes it possible to perform most of these tasks on heterogeneous and distributed environments such as the Web. These advances though, have raise the need for knowledge services to accommodate the ever increasing number of Web users. To provide such a service one needs to combine key technologies for different aspects of knowledge management: capturing, modelling, navigating. This should be tightly integrated with the intended service. We describe such an integration effort in this paper. Our domain is a Web-based news repository and we aimed to provide personalised ontology-driven services on the top of it. We used knowledge capturing technologies to populate the underlying ontologies, knowledge modelling techniques to provide reasoning capabilities for the ontology-driven service, and navigating technologies to overlay Web-pages with the ontology-driven service."
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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