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» Discovering semantic biomedical relations utilizing the Web
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93
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RIAO
2007
14 years 11 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss
88
Voted
CIKM
2010
Springer
14 years 8 months ago
From exploratory search to web search and back
The power of search is with no doubt one of the main aspects for the success of the Web. Currently available search engines on the Web allow to return results with a high precisio...
Roberto Mirizzi, Tommaso Di Noia
90
Voted
WWW
2011
ACM
14 years 5 months ago
Growing parallel paths for entity-page discovery
In this paper, we use the structural and relational information on the Web to find entity-pages. Specifically, given a Web site and an entity-page (e.g., department and faculty ...
Tim Weninger, Fabio Fumarola, Cindy Xide Lin, Rick...
95
Voted
ECWEB
2010
Springer
219views ECommerce» more  ECWEB 2010»
14 years 11 months ago
Semantic Tag Cloud Generation via DBpedia
Abstract. Many current recommender systems exploit textual annotations (tags) provided by users to retrieve and suggest online contents. The text-based recommendation provided by t...
Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, ...
SEMCO
2007
IEEE
15 years 4 months ago
Evolutionary Conceptual Clustering of Semantically Annotated Resources
A clustering method is presented which can be applied to knowledge bases storing semantically annotated resources. The method can be used to discover groupings of structured objec...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito