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» NAGA: Searching and Ranking Knowledge
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SIGMOD
2008
ACM
118views Database» more  SIGMOD 2008»
13 years 4 months ago
NAGA: harvesting, searching and ranking knowledge
The presence of encyclopedic Web sources, such as Wikipedia, the Internet Movie Database (IMDB), World Factbook, etc. calls for new querying techniques that are simple and yet mor...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...
ICDE
2008
IEEE
425views Database» more  ICDE 2008»
15 years 4 months ago
NAGA: Searching and Ranking Knowledge
The Web has the potential to become the world’s largest knowledge base. In order to unleash this potential, the wealth of information available on the Web needs to be extracte...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...
WWW
2007
ACM
14 years 5 months ago
How NAGA uncoils: searching with entities and relations
Current keyword-oriented search engines for the World Wide Web do not allow specifying the semantics of queries. We address this limitation with NAGA1 , a new semantic search engi...
Gjergji Kasneci, Fabian M. Suchanek, Maya Ramanath...
SOCIALCOM
2010
13 years 2 months ago
Facilitating Knowledge Exploration in Folksonomies: Expertise Ranking by Link and Semantic Structures
We developed user models of knowledge exploration in a social tagging system to test the expertise rankings generated by a link-structure method and a semantic-structure method. Th...
Wai-Tat Fu, Wei Dong
KCAP
2005
ACM
13 years 10 months ago
Ontology ranking based on the analysis of concept structures
In view of the need to provide tools to facilitate the reuse of existing knowledge structures such as ontologies, we present in this paper a system, AKTiveRank, for the ranking of...
Harith Alani, Christopher Brewster