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Tech Report kmi-01-05 Abstract


myPlanet: an ontology-driven Web-based personalised news service
Techreport ID: kmi-01-05
Date: 2001
Author(s): Yannis Kalfoglou & Maria Vargas-Vera
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In this paper we present myPlanet, an ontology-driven personalised Web-based service. We extended the existing infrastructure of the PlanetOnto news publishing system. Our concerns were mainly to provide lightweight means for ontology maintenance and ease the access to repositories of news items, a rich resource for information sharing. We reason about the information being shared by providing an ontology-driven interest-profiling tool which enable users to specify their interests. We also developed ontology-driven heuristics to find news items related to users' interests. This paper argues for the role of ontology-driven personalised Web-based services in information sharing.
 
KMi Publications Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

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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