A service based on Linked Data to classify Web resources using a Knowledge Organisation System

Abstract:

One of the reasons why Web resources could stay hidden and therefore to be underutilized is that each person or producer of this kind of resources, labels them using tags or informal and heterogeneous knowledge schemes. The lack of semantics in the relations between areas and subjects make difficult to find associations between topics. It is possible to support semi-automatic classification of resources, taking advantage from Linked Data available in the Web through systems made by people who can converge to a formal knowledge fields classification system. The representation of areas or subjects and their relationships through semantic technologies will help the discovery of such kind of resources for user at worldwide. This paper presents the design of a service, which takes advantage from the potential of Linked Data available on the Web for the classification of Open Educational Resources according to subject areas and to improve the discovery of courses by users.

Año de publicación:

Keywords:

Fuente:

google