Tech Reports
Tech Report kmi-05-05 Abstract
Integrating Scholarly Argumentation, Texts and Community: Towards an Ontology and Services
Techreport ID: kmi-05-05
Date: 2005
Author(s): Neil Benn, Simon Buckingham Shum, John Domingue
Abstract - This paper reports work in progress on an ontology-based approach to modelling the argumentative discourse, texts and community in an academic domain in order to support semantic browsing and search. We describe how diverse research into these aspects can be integrated in an ontology, and step through an example of the kind of service that can be provided given such an integrated model of a research field. We also begin to explore mechanisms for enriching the ontology with the outputs of other CMNA research, such as Reed and Walton's argumentation scheme models.
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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