Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 1st International Workshop on Dataset PROFIling & fEderated Search for Linked Data co-located with the 11th Extended Semantic Web Conference (ESWC 2014) |
| Publikationsstatus | Veröffentlicht - 2014 |
| Veranstaltung | 1st International Workshop on Dataset PROFIling and fEderated Search for Linked Data, PROFILES 2014 - Hersonissou, Crete, Griechenland Dauer: 26 Mai 2014 → 26 Mai 2014 |
Publikationsreihe
| Name | CEUR Workshop Proceedings |
|---|---|
| Herausgeber (Verlag) | CEUR Workshop Proceedings |
| Band | 1151 |
| ISSN (Print) | 1613-0073 |
Abstract
Social Web applications such as "Flickr", "Youtube" and "Slideshare" offer a vast body of multimedial knowledge, discoverable through the appropriate search interfaces and API's. This extensive information source, however, is largely unstructured and the available metadata is typically limited to title, tags and description for a resource. On the other hand, Linked Web Data is both structured and well described through a variety of metadata. Combining those sources opens promising direction for knowledge discovery and, at the same time, new challenges for collaborative searching in various Technology-Enchanced Learning Scenarios. In this paper, we explore how to support (collaborative) search in such scenarios through an initial analysis of the Web data landscape and introduce early results from efforts on exploiting Linked Data techniques to solve critical issues in this context.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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- BibTex
- RIS
Proceedings of the 1st International Workshop on Dataset PROFIling & fEderated Search for Linked Data co-located with the 11th Extended Semantic Web Conference (ESWC 2014). 2014. (CEUR Workshop Proceedings; Band 1151).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Towards analytics and collaborative exploration of social and linked media for technology-enchanced learning scenarios
AU - Zerr, Sergej
AU - D'Aquin, Mathieu
AU - Marenzi, Ivana
AU - Taibi, Davide
AU - Adamou, Alessandro
AU - Dietze, Stefan
N1 - Publisher Copyright: Copyright © 2014 for the individual papers by the papers' authors.
PY - 2014
Y1 - 2014
N2 - Social Web applications such as "Flickr", "Youtube" and "Slideshare" offer a vast body of multimedial knowledge, discoverable through the appropriate search interfaces and API's. This extensive information source, however, is largely unstructured and the available metadata is typically limited to title, tags and description for a resource. On the other hand, Linked Web Data is both structured and well described through a variety of metadata. Combining those sources opens promising direction for knowledge discovery and, at the same time, new challenges for collaborative searching in various Technology-Enchanced Learning Scenarios. In this paper, we explore how to support (collaborative) search in such scenarios through an initial analysis of the Web data landscape and introduce early results from efforts on exploiting Linked Data techniques to solve critical issues in this context.
AB - Social Web applications such as "Flickr", "Youtube" and "Slideshare" offer a vast body of multimedial knowledge, discoverable through the appropriate search interfaces and API's. This extensive information source, however, is largely unstructured and the available metadata is typically limited to title, tags and description for a resource. On the other hand, Linked Web Data is both structured and well described through a variety of metadata. Combining those sources opens promising direction for knowledge discovery and, at the same time, new challenges for collaborative searching in various Technology-Enchanced Learning Scenarios. In this paper, we explore how to support (collaborative) search in such scenarios through an initial analysis of the Web data landscape and introduce early results from efforts on exploiting Linked Data techniques to solve critical issues in this context.
UR - http://www.scopus.com/inward/record.url?scp=84921947563&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84921947563
T3 - CEUR Workshop Proceedings
BT - Proceedings of the 1st International Workshop on Dataset PROFIling & fEderated Search for Linked Data co-located with the 11th Extended Semantic Web Conference (ESWC 2014)
T2 - 1st International Workshop on Dataset PROFIling and fEderated Search for Linked Data, PROFILES 2014
Y2 - 26 May 2014 through 26 May 2014
ER -