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CiteSeer is a scientific literature digital library and search engine that focuses primarily on the literature in computer and information science. CiteSeer aims to improve the dissemination and feedback of the scientific literature and to provide improvements in functionality, usability, availability, cost, comprehensiveness, efficiency, and timeliness in the access of scientific and scholarly knowledge. CiteSeer was developed at the NEC Research Institute by Steve Lawrence, Lee Giles and Kurt Bollacker. It is currently hosted at Penn State's School of Information Sciences and Technology under the direction of Professor Lee Giles. Isaac Councill is the CiteSeer adminstrator. The CiteSeer model is portable with a very similar search engine, SmealSearch, created for academic business documents.

Rather than creating just another digital library, CiteSeer attempts to provide algorithms, metadata, services, techniques, and software that can be used in other digital libraries. CiteSeer indexes PostScript and PDF research articles on the Web, and provides the following features.


Summary of CiteSeer
Autonomous Citation Indexing (ACI)
CiteSeer uses ACI to automatically create a citation index that can be used for literature search and evaluation. Compared to traditional citation indices, ACI provides improvements in cost, availability, comprehensiveness, efficiency, and timeliness. For more information, see Digital Libraries and Autonomous Citation Indexing

All cited documents
CiteSeer computes citation statistics and related documents for all articles cited in the database, not just the indexed articles.

Reference linking
As with many online publishers, CiteSeer allows browsing the database using citation links.

Citation context
CiteSeer can show the context of citations to a given paper, allowing a researcher to quickly and easily see what other researchers have to say about an article of interest.

Awareness and tracking
CiteSeer provides automatic notification of new citations to given papers, and new papers matching a user profile.

Related documents
CiteSeer locates related documents using citation and word based measures and displays an active and continuously updated bibliography for each document.

Similar documents
CiteSeer shows the percentage of matching sentences between documents.

Full-text indexing
CiteSeer indexes the full-text of the entire articles and citations. Full boolean, phrase and proximity search is supported.

Query-sensitive summaries
CiteSeer provides the context of how query terms are used in articles instead of a generic summary, improving the efficiency of search.

Citation graph analysis
CiteSeer analyzes the graph of citations, e.g. to provide hubs and authorities ranking (ala Kleinberg).

Page images
CiteSeer allows quick and easy viewing of page images.

Up-to-date
CiteSeer is regularly updated.

Powerful search
e.g. CiteSeer allows using author initials to narrow a citation search.

Harvesting of articles
CiteSeer uses search engines and crawling plus document submissions to harvest papers on the Web.

Metadata of articles
CiteSeer automatically extracts and provides metadata from all indexed articles.


Links to other metadata
When possible CiteSeer automatically links to other metadata resources.
Freely available
The full source code of CiteSeer is available at no cost for non-commercial use.

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