External Publications
6 publications | core---connecting-repositories
Knoth, P. (2013) From Open Access Metadata to Open Access Content: Two Principles for Increased Visibility of Open Access Content, Open Repositories 2013, Charlottetown, Prince Edward Island, Canada
Knoth, P. and Herrmannova, D. (2013) Simple Yet Effective Methods for Cross-Lingual Link Discovery (CLLD) - KMI @ NTCIR-10 CrossLink-2, NTCIR-10 Evaluation of Information Access Technologies, Tokyo, Japan
Knoth, P. and Zdrahal, Z. (2012) CORE: Three Access Levels to Underpin Open Access, D-Lib Magazine, 18, 11/12, Corporation for National Research Initiatives
Knoth, P., Zdrahal, Z. and Juffinger, A. (2012) Special Issue on Mining Scientific Publications, D-Lib Magazine, 18, 7/8, Corporation for National Research Initiatives
Herrmannova, D. and Knoth, P. (2012) Visual Search for Supporting Content Exploration in Large Document Collections, D-Lib Magazine, 18, 7/8, Corporation for National Research Initiatives
Knoth, P. and Zdrahal, Z. (2011) Mining Cross-document Relationships from Text, The First International Conference on Advances in Information Mining and Management (IMMM 2011), Barcelona, Spain
ManagementMultimedia &
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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