Tech Reports
Tech Report kmi-10-01 Abstract
Boundary Infrastructures for IBIS Federation: Design Rationale, Implementation, and Evaluation
Techreport ID: kmi-10-01
Date: 2010
Author(s):
Climate change is a growing concern to humankind, since the dominant view argues for rapid, significant changes in human behavior to avert catastrophic consequences. This is a complex problem, known as a wicked problem. A productive way forward is through creative, critical dialogue. Such dialogue requires new kinds of socio-technical infrastructure. We offer a socio-technical infrastructure, described as a boundary infrastructure, based on improvements to existing and emerging Issue-based Information Systems (IBIS) conversation platforms. IBIS is an emerging lingua franca of structured discourse. We survey a rich field of literature related to ecologies for human-computer collaboration, conversation, communications theory, scientific discovery, knowledge representation and organization, and software development. Our goal is to facilitate the elicitation of numerous IBIS conversations, seeking a large variety of opinions, facts, and world views; our contribution lies in a process of federation of those IBIS conversations. Our work entails the fabrication of a prototype collective intelligence platform we call Bloomer. Bloomer includes an IBIS conversation federation component, and will be disseminated to several communities of practice, particularly those engaged in activities related to climate change.
Publication(s):
Park, J. (2010). Boundary Infrastructures for IBIS Federation: Design Rationale, Implementation, and Evaluation. Thesis Proposal, available as: Technical Report KMI-10-01, Knowledge Media Institute, The Open University, UK. http://kmi.open.ac.uk/publications/pdf/kmi-10-01.pdf
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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