By Gareth J. F. Jones (auth.), Andreas Nürnberger, Marcin Detyniecki (eds.)
This publication is a longer number of contributions that wereoriginally subm- ted to the first overseas Workshop on Adaptive Multimedia Retrieval (AMR 2003), which used to be geared up 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. stimulated through the general good fortune of the workshop – as printed by way of the stimulating surroundings throughout the workshop and the variety of very and energetic members – we ?nally determined to edit a ebook according to revised papers that have been in the beginning submitted to the workshop. in addition, we invited a few extra introductory contributions for you to manage to offer a conclusive e-book on present subject matters within the quarter of adaptive multimedia retrieval platforms. we are hoping that we have been in a position to prepare a stimulating choice of articles for the reader. we love to thank the organizationcommittee of the twenty sixth German convention on Arti?cial Intelligence (KI 2003) for offering the environment and the admin- trative aid in understanding this workshop as a part of their application. particularly, we adore to thank Christopher Habel for selling the workshop as a part of the convention software and Andreas Gun ¨ ther for his style aid through the association process.
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Additional resources for Adaptive Multimedia Retrieval: First International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers
However, in a fast changing area like computing, we cannot expect that they will have all the terms of importance for marking up learning objects. Perhaps more importantly, technical and specialized dictionaries often omit core and common terms that are widely understood. Yet these will often be important for modeling student knowledge. Building User Models from Observations 43 For example, one of the important concepts in our course is the needs of novice users and the usability techniques that are applicable to them.
These are critical in supporting users to navigate the ontology to find the terms they want to use as metadata and then to easily see the closely related ones that may also deserve consideration as potential metadata candidate terms. The value of good interfaces to ontologies is reflected in the range of novel ontology visualisations tools such as Ontorama , Bubbleworld  and the graph drawing system by Golbeck and Mutton described in . We now give an overview of the structure of Metasaur, our ontology-enhanced interface at the upper part of Figure 2.
Point queries are important as they allow us to extract a small, human manageable portion of the ontology as a separate ontology in itself. In the context of FOLDOC, there were over 14000 terms.
Adaptive Multimedia Retrieval: First International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers by Gareth J. F. Jones (auth.), Andreas Nürnberger, Marcin Detyniecki (eds.)