Bibliometrics, Information Retrieval and Natural Language Processing: Natural Synergies to Support Digital Library Research
نویسنده
چکیده
Historically, researchers have not fully capitalized on the potential synergies that exist between bibliometrics and information retrieval (IR). Knowledge of regularities in information production and use, as well as citation relationships in bibliographic databases that are studied in bibliometrics, can benefit IR system design and evaluation. Similarly, techniques developed for IR and database technology have made the investigation of large-scale bibliometric phenomena feasible. Both fields of study have also benefitted directly from developments in natural language processing (NLP), which have provided new tools and techniques to explore research problems in bibliometrics and IR. Digital libraries, with their full text, multimedia content, along with searching and browsing capabilities, represent ideal environments in which to investigate the mutually beneficial relationships that can be forged among bibliometrics, IR and NLP. This brief presentation highlights the symbiotic relationship that exists among bibliometrics, IR and NLP.
منابع مشابه
Editorial for the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL) at SIGIR 2017
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Editorial for the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL) at JCDL 2016
1 GESIS Leibniz-Institute for the Social Sciences, Cologne, Germany, [email protected] 2 Institute for Research in Applicable Computing, University of Bedfordshire, Luton, UK, [email protected] 3 University of Toulouse, Computer Science Department, IRIT UMR 5505, France [email protected] 4 School of Information Studies, University of Wisconsin-Milwaukee, USA dwolfram@...
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