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Automatic Class Labeling for CiteSeerX
2013
2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
The CiteSeer x project at the University of Arkansas uses a browsing interface is based on the Association for Computing Machinery's Computing Classification System (ACM CCS). CCS contains just 369 categories whereas the CiteSeerx database contains over 2 million documents. This results in more than 6500 documents per category, far too many to browse. To address this problem, we are exploring ways to automatically expand the CCS ontology. Previous work has focused on using clustering to
doi:10.1109/wi-iat.2013.35
dblp:conf/webi/KashireddyGB13
fatcat:7kb4ypr33je2fhqboeitrju3z4