Tech Reports
Tech Report kmi-04-29 Abstract
ClaimSpotter: an Environment to Support Sensemaking with Knowledge Triples
Techreport ID: kmi-04-29
Date: 2004
Author(s): Bertrand Sereno, Simon Buckingham Shum, Enrico Motta
Annotating a document with an interpretation of its contents raises a number of challenges that we are hoping to address via the creation of a supporting environment. We present these challenges and motivate an approach based on the notion of suggestions to support document annotation, hoping these suggestions would act as leads to follow for annotators, therefore reducing some of the difficulties inherent to the task. The environment resulting from this approach, ClaimSpotter, is presented. Aspects of its evaluation are also given, using the findings of a study involving a group of participants faced with a document annotation task.
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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