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JSW
2008
113views more  JSW 2008»
13 years 9 months ago
Semantic Information Retrieval Based on Fuzzy Ontology for Electronic Commerce
Information retrieval is the important work for Electronic Commerce. Ontology-based semantic retrieval is a hotspot of current research. In order to achieve fuzzy semantic retrieva...
Jun Zhai, Yiduo Liang, Yi Yu, Jiatao Jiang
CIKM
2008
Springer
13 years 11 months ago
Integrating clustering and multi-document summarization to improve document understanding
Document understanding techniques such as document clustering and multi-document summarization have been receiving much attention in recent years. Current document clustering meth...
Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, Yiho...
BMCBI
2007
105views more  BMCBI 2007»
13 years 9 months ago
Finding regulatory elements and regulatory motifs: a general probabilistic framework
Over the last two decades a large number of algorithms has been developed for regulatory motif finding. Here we show how many of these algorithms, especially those that model bind...
Erik van Nimwegen
ECIR
1998
Springer
13 years 10 months ago
Modeling Information Retrieval with Probabilistic Argumentation Systems
Probabilistic Argumentation Systems (PAS) are a technique for representing uncertainty both symbolically and numerically. It is shown that this technique, which combines symbolic ...
Justin Picard, Rolf Haenni
CIKM
2011
Springer
12 years 9 months ago
Towards a framework for attribute retrieval
In this paper, we propose an attribute retrieval approach which extracts and ranks attributes from HTML tables. We distinguish between class attribute retrieval and instance attri...
Arlind Kopliku, Mohand Boughanem, Karen Pinel-Sauv...