Show simple item record

dc.contributor.advisorBreslin, John
dc.contributor.authorKinsella, Sheila
dc.date.accessioned2012-04-11T15:58:24Z
dc.date.available2012-04-11T15:58:24Z
dc.date.issued2012-01-23
dc.identifier.urihttp://hdl.handle.net/10379/2674
dc.description.abstractThe Web has shifted from a read-only medium where most users were solely consumers of information, to an interactive medium where collaborative technologies allow anyone to publish or edit content. In this environment, social media such as social network sites, blogs, wikis, and content-sharing websites have flourished and now masses of users are contributing to the pool of human knowledge that is the Web. This large-scale user participation means that the content-creation capacity of the Web has exploded and there is now wide coverage of news, niche interests and hyperlocal content, all available in real-time. In short, Web 2.0 services have successfully harnessed collective intelligence and a huge and diverse information source has emerged. The downside of social media as an information source is that often the individual items are very short, informal and lacking in metadata. Despite the wealth of information available in online communities, locating objects of interest can still be challenging. The search and navigation of social media could be greatly improved by augmenting the content of social media items with annotations to provide additional context or descriptors. This thesis investigates the potential of using related data from the Web to enrich social media items with metadata and thus make it easier to find or browse information in social media. We provide three methods by which social media items can be augmented with novel metadata, specifically tags, locations and categories. Our approaches make use of existing Web data retrieved from HTML documents, APIs and Linked Data. We describe how Semantic Web technologies can be used to represent social media posts and their metadata in a uniform way and thus allow enhanced search and browsing over online community data integrated from heterogeneous sources.en_US
dc.subjectsocial mediaen_US
dc.subjectsemantic weben_US
dc.subjectinformation retrievalen_US
dc.subjectmetadataen_US
dc.subjecttaggingen_US
dc.subjectlinked dataen_US
dc.subjectmicrobloggingen_US
dc.subjectstructured dataen_US
dc.subjectsocial weben_US
dc.subjectDERIen_US
dc.titleAugmenting Social Media Items with Metadata using Related Web Contenten_US
dc.typeThesisen_US
dc.contributor.funderScience Foundation Irelanden_US
dc.local.noteThis thesis investigates the use of Web data to enrich social media items with metadata and thus make it easier to find or browse information in social media. It provides three methods by which social media items can be augmented with novel metadata, specifically tags, locations and categories.en_US
dc.local.finalYesen_US
nui.item.downloads4394


Files in this item

Attribution-NonCommercial-NoDerivs 3.0 Ireland
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

The following license files are associated with this item:

Thumbnail

This item appears in the following Collection(s)

Show simple item record