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Download Adaptive Multimedia Retrieval. Context, Exploration, and by Stephan Baumann, Rafael Schirru, Bernhard Streit (auth.), PDF

By Stephan Baumann, Rafael Schirru, Bernhard Streit (auth.), Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl, Sebastian Stober (eds.)

This booklet constitutes the refereed lawsuits of the eighth foreign convention on Adaptive Multimedia Retrieval, AMR 2010, held in Linz, Austria, in August 2010. The 14 revised complete papers and the invited contribution awarded have been conscientiously reviewed and chosen from quite a few submissions. The papers are equipped in topical sections on Context-based personalization; media info fusion; video retrieval; audio and tune retrieval; adaptive similarities; and discovering and organizing.

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Extra resources for Adaptive Multimedia Retrieval. Context, Exploration, and Fusion: 8th International Workshop, AMR 2010, Linz, Austria, August 17-18, 2010, Revised Selected Papers

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Ontology Based User Model. Razmerita et al. [31] proposed the Ontology based User Model (OntobUM) that is a generic ontology-based user modeling architecture developed for a Knowledge Management System (KMS). OntobUM was created within the Ontologging project [29] that aimed to implement the next generation of KMSs based on three technologies: ontologies, software agents, and user modeling. OntobUM combines three different ontologies: the user ontology that expresses the users, the domain ontology that specifies the relationships between the different applications, and the log ontology that determines the semantics of user-application interaction.

Keywords: multimedia management, semantic annotations, ontologies, information indexing, personalized search. 1 Introduction In the context of the multimedia information systems with an increasing number of available resources, the searching activity should be tailored to each user needs and interests. In order to be effective, the results provided to a user query should be provided according to the current user profile, which could include his/her preferences, tastes, backgrounds, knowledge or interests.

A Survey of Context-Aware Cross-Digital Library Personalization 23 This makes it impractical, and in some cases even impossible, to use a shared user model and to enforce DL systems to adhere to a shared vocabulary. There is another approach, the conversion approach that does not compel DLs to use a unified model but defines appropriate mechanisms in order to transform the syntax and semantics of the user model attributes in one system into those used in another system. An example of this approach is given in Stewart et al.

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