Semantic Web Metadata for e-Learning - Some Architectural Guidelines
نویسندگان
چکیده
Meta-data is the fundamental building block of the Semantic Web. However, the meta-data concept is too loosely defined to provide architectural guidelines for its use. This paper analyzes important uses of meta-data in the e-learning domain, from a pedagogical and philosophical point of view, and abstracts from them a set of fundamental architectural requirements for Semantic Web meta-data. It also describes some flexible generic techniques for working with meta-data, following these requirements. Finally, the paper describes a Semantic Web-based e-learning architecture based in these requirements and techniques currently under development at the Knowledge Management Research Group at CID (Centre for user oriented IT Design) at KTH, the Royal Institute of Technology in Stockholm. This architecture builds on Edutella, a peer-to-peer meta-data exchange network, and a technique called conceptual modeling using the Conzilla concept browser, a new kind of knowledge management tool for conceptual navigation and exploration. The architecture provides an inquiry-based e-learning system that fits into the Semantic Web philosophy, and is based on a pedagogical framework called the knowledge manifold.
منابع مشابه
An Ontological Approach for Enriching Metadata of Learning Objects to Support Effective e-Learning
The metadata elements in e-learning domain provide some meaning about the metadata content. But the current existing metadata standards are not providing fully educative support information and also they are not completely suitable enough to integrate Semantic Web technologies into e-learning domain. In this paper, we discuss the issues surrounding the existing learning object’s metadata standa...
متن کاملAHP Techniques for Trust Evaluation in Semantic Web
The increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. Through the development of semantic Web, One major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each resource. Each user knows the trustworthiness of ...
متن کاملAHP Techniques for Trust Evaluation in Semantic Web
The increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. Through the development of semantic Web, One major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each resource. Each user knows the trustworthiness of ...
متن کاملA Grid Service Framework for Metadata Management in Self-e-Learning Networks
Metadata management is critical for Grid systems. More specifically, semantically meaningful resource descriptions constitute a highly beneficial extension to Grid environments that started to gain significant attention. In this work we contribute to the effort of enhancing current Grid technologies to support semantic descriptors for resources – termed also the Semantic Grid. We use a Self e-L...
متن کاملTowards a Semantic Repository for Learning Objects: Design and Evaluation of Core Services
Repositories form a central piece of the learning objects technology, providing storage spaces where the objects can be catalogued, located, and retrieved. However, repositories usually support only syntactical and morphological aspects of learning objects metadata for cataloguing and searching purposes. This article proposes two integrated systems, which provide the core services of a semantic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002