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» Using Information Extraction to Improve Document Retrieval
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ECIR
2009
Springer
16 years 3 months ago
Enhancing Expert Finding Using Organizational Hierarchies
The task in expert finding is to identify members of an organization with relevant expertise on a given topic. In existing expert finding systems, profiles are constructed from sou...
Maryam Karimzadehgan, Ryen W. White, Matthew Richa...
194
Voted
ICIW
2008
IEEE
16 years 17 days ago
XML Semantic Filtering via Ontology Reasoning
In this paper, we present an extension of PHIL, a declarative language for filtering information from XML data. The proposed approach allows us to extract relevant data as well a...
Michele Baggi, Moreno Falaschi, Demis Ballis
162
Voted
SAC
2008
ACM
15 years 5 months ago
XEdge: clustering homogeneous and heterogeneous XML documents using edge summaries
In this paper we propose a unified clustering algorithm for both homogeneous and heterogeneous XML documents. Depending on the type of the XML documents, the proposed algorithm mo...
Panagiotis Antonellis, Christos Makris, Nikos Tsir...
187
Voted
BMCBI
2007
163views more  BMCBI 2007»
15 years 6 months ago
A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluati
Background: A huge amount of biomedical textual information has been produced and collected in MEDLINE for decades. In order to easily utilize biomedical information in the free t...
Illhoi Yoo, Xiaohua Hu, Il-Yeol Song
153
Voted
WWW
2007
ACM
16 years 6 months ago
Integrating web directories by learning their structures
Documents in the Web are often organized using category trees by information providers (e.g. CNN, BBC) or search engines (e.g. Google, Yahoo!). Such category trees are commonly kn...
Christopher C. Yang, Jianfeng Lin