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» Content-Based Retrieval in Digital Libraries
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KDD
2008
ACM
211views Data Mining» more  KDD 2008»
15 years 9 months ago
ArnetMiner: extraction and mining of academic social networks
This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting ...
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zha...
105
Voted
ER
2004
Springer
161views Database» more  ER 2004»
15 years 2 months ago
Towards a Statistically Semantic Web
The envisioned Semantic Web aims to provide richly annotated and explicitly structured Web pages in XML, RDF, or description logics, based upon underlying ontologies and thesauri. ...
Gerhard Weikum, Jens Graupmann, Ralf Schenkel, Mar...
DL
1998
Springer
180views Digital Library» more  DL 1998»
15 years 1 months ago
Automatic Subject Indexing Using an Associative Neural Network
The global growth in popularity of the World Wide Web has been enabled in part by the availability of browser based search tools which in turn have led to an increased demand for ...
Yi-Ming Chung, William M. Pottenger, Bruce R. Scha...
DL
1998
Springer
159views Digital Library» more  DL 1998»
15 years 1 months ago
CiteSeer: An Automatic Citation Indexing System
We present CiteSeer: an autonomous citation indexing system which indexes academic literature in electronic format (e.g. Postscript files on the Web). CiteSeer understands how to ...
C. Lee Giles, Kurt D. Bollacker, Steve Lawrence
WSDM
2009
ACM
114views Data Mining» more  WSDM 2009»
15 years 4 months ago
Wikipedia pages as entry points for book search
A lot of the world’s knowledge is stored in books, which, as a result of recent mass-digitisation efforts, are increasingly available online. Search engines, such as Google Book...
Marijn Koolen, Gabriella Kazai, Nick Craswell