Trusting Information Sources One Citizen at a Time
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Finding aliases on the web using latent semantic analysis
Data & Knowledge Engineering - Special issue: WIDM 2002
Determining user interests about museum collections
Proceedings of the 15th international conference on World Wide Web
Harvesting social knowledge from folksonomies
Proceedings of the seventeenth conference on Hypertext and hypermedia
Infotopia: How Many Minds Produce Knowledge
Infotopia: How Many Minds Produce Knowledge
The CKC Challenge: Exploring Tools for Collaborative Knowledge Construction
IEEE Intelligent Systems
SUNNY: a new algorithm for trust inference in social networks using probabilistic confidence models
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Supporting customised collaboration over shared document repositories
CAiSE'06 Proceedings of the 18th international conference on Advanced Information Systems Engineering
Berkeley prosopography services: ancient families, modern tools
Proceedings of the 1st International Workshop on Collaborative Annotations in Shared Environment: metadata, vocabularies and techniques in the Digital Humanities
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The increasing use of computational linguistics for semantic search and discovery tools requires much work on development and maintenance of associated ontologies. Related applications depend upon curated resources like dictionaries, gazetteers, etc. In order to scale these application models and leverage the respective communities of interest, a new set of tools is needed that facilitate community development and extension of these resources while retaining the curatorial model to ensure a reliable, high quality resource. We describe the requirements and principles for such a system, and present the CONCUR framework that addresses these needs. CONCUR defines a reputation model and a set of reusable infrastructure services to maintain the resource. The reputation model combines correctness as well as utility of participants' contributions, tracked over time and by sub-domain within the resource. We describe the architectural issues of the model, potential applications, and continuing research on the model.