Proceedings ArticleDOI
CiteSeer: an automatic citation indexing system
C. Lee Giles,Kurt Bollacker,Steve Lawrence +2 more
- pp 89-98
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TLDR
CiteSeer has many advantages over traditional citation indexes, including the ability to create more up-to-date databases which are not limited to a preselected set of journals or restricted by journal publication delays, completely autonomous operation with a corresponding reduction in cost, and powerful interactive browsing of the literature using the context of citations.Abstract:
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 parse citations, identify citations to the same paper in different formats, and identify the context of citations in the body of articles. CiteSeer provides most of the advantages of traditional (manually constructed) citation indexes (e.g. the ISI citation indexes), including: literature retrieval by following citation links (e.g. by providing a list of papers that cite a given paper), the evaluation and ranking of papers, authors, journals, etc. based on the number of citations, and the identification of research trends. CiteSeer has many advantages over traditional citation indexes, including the ability to create more up-to-date databases which are not limited to a preselected set of journals or restricted by journal publication delays, completely autonomous operation with a corresponding reduction in cost, and powerful interactive browsing of the literature using the context of citations. Given a particular paper of interest, CiteSeer can display the context of how the paper is cited in subsequent publications. This context may contain a brief summary of the paper, another author’s response to the paper, or subsequent work which builds upon the original article. CiteSeer allows the location of papers by keyword search or by citation links. Papers related to a given paper can be located using common citation information or word vector similarity. CiteSeer will soon be available for public use.read more
Citations
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Community detection in graphs
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Collective Classification in Network Data
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Efficient clustering of high-dimensional data sets with application to reference matching
TL;DR: This work presents a new technique for clustering large datasets, using a cheap, approximate distance measure to eciently divide the data into overlapping subsets the authors call canopies, and presents ex- perimental results on grouping bibliographic citations from the reference sections of research papers.
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Automating the Construction of Internet Portals with Machine Learning
TL;DR: New research in reinforcement learning, information extraction and text classification that enables efficient spidering, the identification of informative text segments, and the population of topic hierarchies are described.
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