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    E-learning and microformats: A learning object harvesting model and a sample application
    (2008) Soylu, Ahmet; Kuru, Selahattin; Wild, Fridolin; Mödritscher, Felix
    In order to support interoperability of learning tools and reusability of resources, this paper introduces a framework for harvesting learning objects from web-based content. Therefore, commonly-known web technologies are examined with respect to their suitability for harvesting embedded meta-data. Then, a lightweight application profile and a microformat for learning objects are proposed based on well-known learning object metadata standards. Additionally, we describe a web service which utilizes XSL transformation (GRDDL) to extract learning objects from different web pages, and provide a SQI target as a retrieval facility using a more complex query language called SPARQL. Finally, we outline the applicability of our framework on the basis of a search client employing the new SQI service for searching and retrieving learning objects.
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    An interoperability infrastructure for distributed feed networks
    (2007) Wild, Fridolin; Siguroarson, Steinn E.; Sobernig, Stefan; Stahl, Christina; Soylu, Ahmet; Rebas, Vahur; Gárka, Dariusz; Danielewska-Tułecka, Anna; Tapiador, Antonio
    Blogs have the affordance to become an integral part of teaching and learning processes as a vehicle for knowledge management. Open, flexible systems integrating blogs provide user-friendly, personalised microlearning environments while ensuring ubiquitous access. This paper concentrates on blog interoperability in an open space for learning and collaboration. As blogging is one of the most popular web-based forms of publishing today, there is a plethora of different blogging tools, feed readers, and aggregators, enabling information dissemination, filtering, and retrieval. Several different data structure and interaction standards emerged which make integration a real challenge. This paper aims at creating distributed microlearning environments basing on networks of integrated blogs, discusses problems of such an integration along with possible solutions, and proposes an architecture for loosely-coupled blog integration. The core of this infrastructure consists of a service interface for feed management that allows learners as well as facilitators to automatically set up channel structures for feed syndication, while effectively reducing the management efforts thereof through proper system support.
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    A learning object harvesting model and a sample application
    (Işık Üniversitesi, 2008-03-06) Soylu, Ahmet; Kuru, Selahattin; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Yüksek Lisans Programı
    The aim of this thesis is to enable harvesting of Learning Objects which are embedded in web pages. Two main challenges have been identified which are interoperability and semantics. For this purpose, several learning object metadata standards such as XML, XSLT, RDF, SPARQL etc. and several Learning Object Metadata standards have been investigated for compatibility with this harvesting approach, and then a light weight Application Profile and Microformat for Learning Objects has been proposed. Additionally a web service has been created which uses XSLT/GRDDL to extract Learning Objects in different web pages, and uses SQI target for retrieval facility with a more complex query language called SPARQL. Final work is a sample application; a search client employing created SQI service for search and retrieval of Learning Objects.

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