Loading...
Please wait, while we are loading the content...
Similar Documents
Applying Ontology to Enrich Metadata for Learning Objects Discovery in Distributed Repositories
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zahmatkesh, Shima Kardan, Ahmad A. Golshan, Amir |
| Abstract | development is search and discovery of an appropriate learning object among the distributed content repositories according to the needs and interests of the clients. SCORM presents a mechanism for share-ability and reusability of the learning objects, known as Sharable Content Objects (SCO's). Although SCORM presents some approaches for content reusability, but efficient searching process is a significant problem yet. Therefore, an effective searching mechanism is necessary for discovery and access to the required learning resources, for utilizing in the e-courses. But resource discovery within a heterogeneous collection of resources is a challenging problem. Different techniques like keyword-based search do not have required efficiency for searching the resources on the web. Semantic web has been proposed for resolving this problem. Different techniques Based on semantic data mining have been introduced. Some approaches like ontology were proposed to overcome heterogeneity. Ontology represents a set of concepts within a domain, and also the relationships between those concepts. W can enrich the information related to the learning objects, and develop a better searching methodology by using ontology for metadata of learning objects. In this work, according to our proposed ontology, an enriched metadata for a set of Learning Objects are shaped. By means of this kind of learning materials and their metadata our ontology could be evaluated for effective searching. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.waset.org/journals/waset/v30/v30-237.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
