Authors:
Sahar Vahdati
;
Andreas Behrend
;
Gereon Schüller
and
Rainer Manthey
Affiliation:
University of Bonn, Germany
Keyword(s):
Bibliographic Database, Digital Library, Citation Analysis.
Related
Ontology
Subjects/Areas/Topics:
Databases and Datawarehouses
;
Enterprise Information Systems
;
Internet Technology
;
Recommendation Systems
;
Searching and Browsing
;
Software Agents and Internet Computing
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
Scientific literature has become easily accessible by now but a comprehensive analysis of the contents and
interrelationships between research papers is often missing. Therefore, a time consuming bibliographical
analysis is usually performed by scientists before they can really start their research. This manual process
includes the identification of the most important research trends, major papers, auspicious approaches, established
conference series as well as the search for most active groups for a specific research topic. In addition,
scientists have to collect related academic literature for avoiding reinvention of already published results. Although
a large number of literature management systems have been developed in order to support researchers
in these tasks, the offered analysis of bibliographical data is still quite limited. In this paper, we identify
some of the missing analysis features and show how they could be implemented using data about author affiliations,
referenc
e relations and additional metadata, automatically generated from a set of research articles.
The resulting prototypical implementation indicates the way towards the design of a general and extendible
bibliographic analysis system.
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