LUISA

This page is a sub-page of the page on our European Projects.

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The sub-pages of this page are:

LUISA Deliverables

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LUISA (Learning Content Management System Using Innovative Semantic Web Services Architecture) was an EU IST FP6 funded Specific Targeted Research Project (STREP) that ran between March 2006 and September 2008

At the start of the LUISA project, recent efforts in the area of learning technology had resulted in a considerable improvement in the interoperability of learning resources across different Learning Management Systems (LMS) and Learning Object Repositories (LOR). The central paradigm of such reuse-oriented technology was the notion of learning objects as digital reusable pieces of learning activities or contents. Moreover, Semantic Web technology was able to provide the required computational semantics for the automation of tasks related to learning objects as selection or composition.

Within the context described, LUISA addressed the development of a reference semantic architecture for the major challenges in the search, interchange and delivery of learning objects in a service-oriented context. This entailed the technical description of the solution in terms of current SWS technology, and also the provision of the ontologies, facilities and components required to extend and enhance existing learning technology systems with the advanced capabilities provided by computational semantics.

The technology development objective of LUISA was put in a context of relevant learning scenarios – both academic and industrial – for evaluation and also to serve as a blueprint for technology adoption. The outcomes of LUISA  made a significant contribution to the automation of learning technology systems beyond current standards, fostering the advancement of Web-based learning with an increase in the capacity to locate, search and negotiate learning resources mediated by semantic tools.

The tasks of the KMR group within the LUISA project focused on the development of a semantic annotation tool, based on our SHAME framework and a construction that we call annotation profiles.

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