External Publications
7 publications | decipher
Wolff, A. and Mulholland, P. (2012) QrAte: historical learning through a curatorial inquiry task using web resources, ICALT, Rome
Wolff, A., Mulholland, P. and Collins, T. (2012) Storyspace: a story-driven approach for creating museum narratives, Hypertext, Milwaukee
Collins, T., Mulholland, P. and Wolff, A. (2012) Web supported emplotment: Using object and event descriptions to facilitate storytelling online and in galleries, Web Science, Evanston, IL, ACM
Mulholland, P., Wolff, A. and Collins, T. (2012) Curate and Storyspace: An ontology and web-based environment for describing curatorial narratives, 9th Extended Semantic Web Conference (ESWC 2012), Heraklion, Greece
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
Knoth, P., Robotka, V. and Zdrahal, Z. (2011) Connecting Repositories in the Open Access Domain using Text Mining and Semantic Data, International Conference on Theory and Practice of Digital Libraries 2011 (TPDL 2011), Berlin, Germany
Mulholland, P., Wolff, A., Collins, T. and Zdrahal, Z. (2011) An Event-Based Approach to Describing and Understanding Museum Narratives, Workshop: Detection, Representation, and Exploitation of Events in the Semantic Web at International Semantic Web Conference (ISWC 2011), Bonn, Germany
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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