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NEC Research Institute Automates Citation Indexing Of Scientific Literature

June 23, 1999New technique improves the availability, comprehensiveness, cost, efficiency, and timeliness of scientific dissemination and feedback.


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NEC Research Institute has developed Autonomous Citation Indexing (ACI), which autonomously creates citation indices without any manual effort. Citation indices index the citations in scientific articles and have many uses in literature search, evaluation, and analysis of scientific literature. Citation indices of scientific literature have traditionally been created using manual effort.

ACI improves the dissemination and retrieval of scientific literature, and provides improvements in availability, comprehensiveness, cost, efficiency, and timeliness.

ACI provides the advantages of traditional citation indices, such as literature search using citation links, and the evaluation of articles based on citation statistics. ACI also provides significant advantages over traditional citation indices. No manual effort is required for indexing, leading to a reduction in cost and an increase in the availability of citation indices. An ACI system can provide more comprehensive and up-to-date indices of the literature by indexing articles on the Web, including preprints, technical reports, and conference papers. ACI also makes it easy to browse the context of citations to given articles, allowing researchers to quickly and easily see what other researchers have said about given articles.

NEC Research has made the software for their system available at no cost for non-commercial use.

The following paper describes the breakthrough: "Digital Libraries and Autonomous Citation Indexing", IEEE Computer, Volume 32, Number 6, 67-71, 1999.

More information is available from http://www.neci.nec.com/~lawrence/aci.html

NEC Research Institute has a demonstration of Autonomous Citation Indexing available in ResearchIndex, the NECI scientific literature digital library. ResearchIndex is available at:

http://researchindex.com/

ResearchIndex indexes research articles on the Web and incorporates Autonomous Citation Indexing. Users can search the full-text of articles and citations, view the context of citations, and use citation links and citation statistics for literature search or evaluation. Additional features include awareness and tracking, related document retrieval, similar document identification, citation graph analysis, and query-sensitive document summaries.

The demonstration service indexes over 200,000 computer science articles containing over 2 million citations.

The NEC Research Institute conducts long-term, fundamental research in computer and physical sciences. The mission of the Institute is to contribute significant new understanding of computer and communication (C&C) technologies for the future. Institute research activities have a long-term goal of significant advances in the understanding of intelligence and information processing in biological and machine systems, and in the physical and system aspects of future computer architectures. The Institute particularly encourages research at the interface between computer and physical sciences, believing that a better understanding of new techniques for information processing will come from the utilization of insight from more than one discipline.

Contact: Dr. Steve Lawrence
+1 609 951 2676, lawrence@research.nj.nec.com

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The above story is reprinted from materials provided by NEC Research Institute.

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