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Tech Report kmi-99-08 Abstract


Case Studies in Ontology-Driven Document Enrichment
Techreport ID: kmi-99-08
Date: 1999
Author(s): Enrico Motta, Simon Buckingham Shum and John Domingue
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In this paper we present an approach to document enrichment, which consists of associating formal knowledge models to archives of documents, to provide intelligent knowledge retrieval and (possibly) additional knowledge services, beyond what is available using 'standard' information retrieval and search facilities. The approach is ontology-driven, in the sense that the construction of the knowledge model is carried out in a top-down fashion, by populating a given ontology, rather than in a bottom-up fashion, by annotating a particular document. In the paper we give an overview of the approach and we discuss its applucation to the domains of electronic news publishing, scholarly discourse and medical guidelines.

Publication(s):

12th Workshop on Knowledge Acquisition, Modeling and Management (KAW '99), Banff, Alberta, Canada. 16-22 Oct. 1999.
 
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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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