Text processing through Web services
Bioinformatics
The Future of the Internet--And How to Stop It
The Future of the Internet--And How to Stop It
Harvana: harvesting community tags to enrich collection metadata
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Improving Search and Navigation by Combining Ontologies and Social Tags
OTM '08 Proceedings of the OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: 2008 Workshops: ADI, AWeSoMe, COMBEK, EI2N, IWSSA, MONET, OnToContent + QSI, ORM, PerSys, RDDS, SEMELS, and SWWS
Semantic relation extraction from socially-generated tags: a methodology for metadata generation
DCMI '08 Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications
The state of the art in tag ontologies: a semantic model for tagging and folksonomies
DCMI '08 Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications
Social semantic cloud of tag: semantic model for social tagging
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
The planetary system: executable science, technology, engineering and math papers
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Community building based on semantic time series
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
Coupling semantics with things in the internet of the future: a survey
International Journal of Metadata, Semantics and Ontologies
Ontology-based blog collection and profile-based personalised ranking
International Journal of Computer Applications in Technology
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Rather than a document that is constantly being written as in the wiki approach, the Living Document (LD) is a document that also acts as a document router, operating by means of structured and organized social tagging and using existing ontologies. It offers an environment where users can manage papers and related information, share their knowledge with their peers and discover hidden associations amongst the shared knowledge. The LD builds upon both the Semantic Web, which values the integration of well-structured data, and the Social Web, which aims to facilitate interaction amongst people by means of user-generated content. In this vein, the LD is similar to a social networking system, with users as central nodes in the network, with the difference that interaction is focused on papers rather than people. Papers, with their ability to represent research interests, expertise, affiliations, and links to web based tools and databanks, are the central axis for interaction amongst users. To support this, we have also implemented a novelweb prototype that enables researchers to accomplish three activities central to the Semantic Web vision: organizing, sharing and discovering. Availability: http://www.scientifik.info/livingdocument.