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AAAI
2008
15 years 2 months ago
Predicting Appropriate Semantic Web Terms from Words
The Semantic Web language RDF was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. Many people find it difficult, however, to write com...
Lushan Han, Tim Finin
HT
2009
ACM
15 years 3 months ago
Context-based ranking in folksonomies
With the advent of Web 2.0 tagging became a popular feature. People tag diverse kinds of content, e.g. products at Amazon, music at Last.fm, images at Flickr, etc. Clicking on a t...
Fabian Abel, Matteo Baldoni, Cristina Baroglio, Ni...
SIGIR
2009
ACM
15 years 6 months ago
Named entity recognition in query
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...
Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li
CIKM
2006
Springer
15 years 1 months ago
Voting for candidates: adapting data fusion techniques for an expert search task
In an expert search task, the users' need is to identify people who have relevant expertise to a topic of interest. An expert search system predicts and ranks the expertise o...
Craig Macdonald, Iadh Ounis
CIKM
2005
Springer
15 years 5 months ago
Focused crawling for both topical relevance and quality of medical information
Subject-specific search facilities on health sites are usually built using manual inclusion and exclusion rules. These can be expensive to maintain and often provide incomplete c...
Thanh Tin Tang, David Hawking, Nick Craswell, Kath...