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Tech Report kmi-05-07 Abstract


Semantic Learning Narratives: An Investigation of the Usage of Semantic Web Technologies to Support Learning
Techreport ID: kmi-05-07
Date: 2005
Author(s): Michele Pasin
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This report is about the intersections between narrative hypermedia and semantic web technologies for eLearning. Although various research has enhanced the hypermedia field by making use of semantic web technologies, there is little work in order to pitch this approach to an educational perspective. Actual eLearning technologies, focusing on the definition and re-use of learning objects (LO), often sacrifice the expressiveness of the metadata descriptors to the reusability of a resource. This leads to shallow semantic annotations, and consequently, from a pedagogical point of view, to a poor sequencing of the learning objects. In the first part of this report, we want to help the reader contextualize this problem and realize how it can be solved through the usage of domain ontologies, describing the important concepts in an area, and narrative ontologies, describing the fundamental pathways within a semantic space. In the second part of this work, instead we show how the instantiation of these two dimensions within a specific domain, philosophy, will allow us firstly to develop an application to test these ideas, secondly to compare other similar approaches and look out for an abstract layer of learning narratives independent from any domain.

Publication(s):

Semantic Learning Narratives, Pasin M., Motta E., SWED Workshop, KCAP-05, Banff, Canada.
 
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Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

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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