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» Improving Web Search Relevance with Semantic Features
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SIGIR
2008
ACM
13 years 8 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella
ATAL
2005
Springer
14 years 2 months ago
SEAGENT: a platform for developing semantic web based multi agent systems
In this paper, a new agent development platform, which includes built-in features for semantic web based multi agent system development, is introduced. All agents and services in ...
Oguz Dikenelli, Riza Cenk Erdur, Özgür G...
W2GIS
2007
Springer
14 years 2 months ago
Towards the Geo-spatial Querying of the Semantic Web with ONTOAST
One of the challenges raised by the construction of the semantic Web lies in the analysis and management of complex relationships (thematic, spatial and temporal) connecting severa...
Alina Dia Miron, Jérôme Gensel, Marl&...
ESWS
2005
Springer
14 years 2 months ago
An Ontology-Based Information Retrieval Model
Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We propose a model for the exploitation of ontologybased KBs to improve search over lar...
David Vallet, Miriam Fernández, Pablo Caste...
MOBISYS
2007
ACM
14 years 8 months ago
Context browsing with mobiles - when less is more
Except for a handful of "mobile" Web sites, the Web is designed for browsing with personal computers with large screens capable of fitting the content of most Web pages....
Yevgen Borodin, Jalal Mahmud, I. V. Ramakrishnan