Download Adaptive Multimedia Retrieval: First International Workshop, by Gareth J. F. Jones (auth.), Andreas Nürnberger, Marcin PDF

By Gareth J. F. Jones (auth.), Andreas Nürnberger, Marcin Detyniecki (eds.)

This ebook is a longer number of contributions that wereoriginally subm- ted to the first foreign Workshop on Adaptive Multimedia Retrieval (AMR 2003), which was once prepared as a part of the twenty sixth German convention on Arti?cial Intelligence (KI 2003),and held in the course of September 15–18,2003at the college of Hamburg, Germany. prompted through the general good fortune of the workshop – as printed via the stimulating surroundings in the course of the workshop and the variety of very and lively members – we ?nally made up our minds to edit a ebook according to revised papers that have been at first submitted to the workshop. moreover, we invited a few extra introductory contributions so that it will manage to supply a conclusive booklet on present issues within the quarter of adaptive multimedia retrieval structures. we are hoping that we have been capable of prepare a stimulating selection of articles for the reader. we love to thank the organizationcommittee of the twenty sixth German convention on Arti?cial Intelligence (KI 2003) for supplying the environment and the admin- trative help in understanding this workshop as a part of their software. particularly, we love to thank Christopher Habel for selling the workshop as a part of the convention application and Andreas Gun ¨ ther for his variety help during the association process.

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Extra info for Adaptive Multimedia Retrieval: First International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers

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Matching words and pictures. Journal of Machine Learning Research 3 (2003) 1107–1135 27. : Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal statistical Society 39 (1977) 1–38 28. : Automatic image annotation and retrieval using cross-media relevance models. In: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, ACM Press (2003) 119–126 29. : Modeling annotated data. In: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, ACM Press (2003) 127–134 30.

Wordnet: a lexical database for English. Commun. ACM 38 (1995) 39–41 51. : An analysis of recent work on clustering algorithms. Technical report, University of Washington (1999) 52. : Hierarchical mixtures of experts and the EM algorithm. Neural Comput. au Abstract. We report our work towards building user models of learner’s development based upon evidence of their interactions with an e-learning website composed of multimedia learning objects. Essentially, this involves three elements: effective metadata for each learning object; analysis of each user’s time spent with each learning object; reasoning about each individual’s knowledge of the course that is based upon a collection of learning objects.

There are existing systems that allow instructors to add metadata to learning objects [23] as well as standards for metadata about Learning Objects [5]. These systems employ an extensive description of the domain that is usually defined by the course instructors. Our approach is different in that we use a lightweight ontology [24] that is automatically constructed from an existing data source. It also provides a novel visualisation of the ontology that supports an exploratory approach to discovering appropriate metadata terms in the domain.

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