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ICUIMC
2009
ACM
16 years 24 days ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee
DIAL
2004
IEEE
138views Image Analysis» more  DIAL 2004»
15 years 10 months ago
Retrieving Imaged Documents in Digital Libraries Based on Word Image Coding
A great number of documents are scanned and archived in the form of digital images in digital libraries, to make them available and accessible in the Internet. Information retriev...
Yue Lu, Li Zhang, Chew Lim Tan
ESWS
2004
Springer
15 years 11 months ago
Learning to Harvest Information for the Semantic Web
Abstract. In this paper we describe a methodology for harvesting information from large distributed repositories (e.g. large Web sites) with minimum user intervention. The methodol...
Fabio Ciravegna, Sam Chapman, Alexiei Dingli, Yori...
ICCBR
2005
Springer
15 years 11 months ago
Extending jCOLIBRI for Textual CBR
Abstract. This paper summarises our work in textual Case-Based Reasoning within jCOLIBRI. We use Information Extraction techniques to annotate web pages to facilitate semantic retr...
Juan A. Recio-García, Belén Dí...
CIKM
2005
Springer
15 years 12 months ago
Structural features in content oriented XML retrieval
The structural features of XML components are an extra source of information that should be used in a contentoriented retrieval task on this type of documents. This paper explores...
Georgina Ramírez, Thijs Westerveld, Arjen P...