| 42050 |
Creator |
0e5d4257051894026ea74b7ed55557e7 |
| 42050 |
Creator |
2c99057c5a6fbdfdf23181c7ca14cb24 |
| 42050 |
Creator |
5dabd3e342ac2316949812b6ded7023e |
| 42050 |
Creator |
ext-23319a3b3ca6601a7d6bb23bb94a25bf |
| 42050 |
Creator |
ext-1340a8e65884b5723745a9e4247547e4 |
| 42050 |
Creator |
ext-279c210d73414bc98f0114b81646612f |
| 42050 |
Date |
2014 |
| 42050 |
Is Part Of |
repository |
| 42050 |
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. |
| 42050 |
authorList |
authors |
| 42050 |
presentedAt |
ext-5c44c0c60f8e463bb0c9267ca861320c |
| 42050 |
status |
peerReviewed |
| 42050 |
uri |
http://data.open.ac.uk/oro/document/286914 |
| 42050 |
uri |
http://data.open.ac.uk/oro/document/286920 |
| 42050 |
uri |
http://data.open.ac.uk/oro/document/286921 |
| 42050 |
uri |
http://data.open.ac.uk/oro/document/286922 |
| 42050 |
uri |
http://data.open.ac.uk/oro/document/286923 |
| 42050 |
uri |
http://data.open.ac.uk/oro/document/286924 |
| 42050 |
uri |
http://data.open.ac.uk/oro/document/289441 |
| 42050 |
volume |
1151 |
| 42050 |
type |
AcademicArticle |
| 42050 |
type |
Article |
| 42050 |
label |
Zerr, Sergej; d'Aquin, Mathieu ; Marenzi, Ivana; Taibi, Davide; Adamou, Alessandro
and Dietze, Stefan (2014). Towards analytics and collaborative exploration of social
and linked media for technology-enchanced learning scenarios. In: PROFILES 2014
Proceedings of the 1st International Workshop on Dataset PROFIling & fEderated Search
for Linked Data, CEUR Workshop Proceedings, CEUR-WS.org. |
| 42050 |
label |
Zerr, Sergej; d'Aquin, Mathieu ; Marenzi, Ivana; Taibi, Davide; Adamou, Alessandro
and Dietze, Stefan (2014). Towards analytics and collaborative exploration of social
and linked media for technology-enchanced learning scenarios. In: PROFILES 2014
Proceedings of the 1st International Workshop on Dataset PROFIling & fEderated Search
for Linked Data, CEUR Workshop Proceedings, CEUR-WS.org. |
| 42050 |
Publisher |
ext-7a2f2c1f9623100f9986d5226ef2171e |
| 42050 |
Title |
Towards analytics and collaborative exploration of social and linked media for technology-enchanced
learning scenarios |
| 42050 |
in dataset |
oro |