SEEK-AT-WD: A Social-Semantic Infrastructure to Sustain Educational ICT Tool Descriptions in the Web of Data

There are several Information and Communication Technology (ICT) tool registries that support educators when searching ICT tools for their classrooms. A common problem in these registries is how their data is sustained, since educational descriptions of ICT tools are hard to create and maintain updated. This paper proposes SEEKAT-WD, an infrastructure that aims at sustaining an educational ICT tool registry in the Web of Data following a social-semantic approach. Its key idea is to take advantage of the data already published in the Web to sustain a collection of ICT tool descriptions, as well as to enable the community of educators to enrich this collection sharing their experience using ICT tools. Following this approach, 6760 descriptions of educational ICT tools have been retrieved from the Web of Data to build an initial dataset. Moreover, the descriptions obtained from the Web are automatically updated without human intervention while more than a hundred tool descriptions have been enriched by educators. Finally, a search system and an annotation tool are presented to illustrate that educational applications can take advantage of SEEK-AT-WD.