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Semantic Technologies for Web Services and Technology Enhanced Learning

Research Project No. D-002-189
funded by the National Science Fund of Bulgaria


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"Semantic Technologies for Web Services and Technology Enhanced Learning"
Research Project No. D-002-189
funded by the National Science Fund of Bulgaria
 
Objectives

Project Objectives

The main scientific and technological innovations of the project will be searched in:

Developing new application-oriented methods and end-user oriented tools for description of Semantic Web Services and Goals

Problems for representation of Semantic Web Services and Goals are among the hottest research aspects of SWS technology for which no general solutions have been found yet. We consider to conduct our research on these topics in the direction of refining and advancing the original graphical and ontology-based approach developed by the project members in the frame of INFRAWEBS Project, which was evaluated as "an achievement that has a potential impact on the adoption of Semantic Web Services on a larger scale".

Developing new methods for dynamic composition of Semantic Web Services suited for eLearning

The problem of dynamic composition of Web services is the core of the Service-oriented computing paradigm. There are a very few really implemented and rather restricted approaches for this still open problem. Our research on dynamic composition of Semantic Web Services will be oriented to further development of an original data-driven SWS composition approach designed by the project members in the frame of INFRAWEBS Project, which was recognized as "the only fully automated Functional Level-based Composition planner for WSMO yet".

Developing new methods and tools for creation and semantic annotation of learning objects compatible with SWS methodology

The investigation will be aimed at design of activity scheme and information models for dynamic creation and adaptation of learning objects (multimedia objects, annotated with content- and context-oriented metadata), facilitating their reusability and addressing active authoring as learning activity. The research will address the limitations of standard LO metadata through the usage of ontologies to represent the knowledge encoded in the metadata in machine readable forms. The information models and methods for learning content organization will be based on pragmatic restrictions and modifications of the project LOGOS information models to be oriented to mass authors of learning materials without need of specific knowledge and skills concerning information models and basics of ontology engineering.



 

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Project:

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project title: project duration: 30 months project start: January 1st, 2009

Project researches within the following ranges: