Introduction to the special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL)
Chandrasekaran, Muthu Kumar
AffiliationGESIS - Leibniz Institute for the Social Sciences
University of Bedfordshire
University of Toulouse
NUS School of Computing, Singapore
University of Pennsylvania
University of Wisconsin-Milwaukee
MetadataShow full item record
AbstractThe large scale of scholarly publications poses a challenge for scholars in information seeking and sensemaking. Bibliometric, information retrieval (IR), text mining, and natural language processing techniques can assist to address this challenge, but have yet to be widely used in digital libraries (DL). This special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL) was compiled after the first joint BIRNDL workshop that was held at the joint conference on digital libraries (JCDL 2016) in Newark, New Jersey USA. It brought together IR and DL researchers and professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric, and recommendation techniques that can advance the state of the art in scholarly document understanding, analysis, and retrieval at scale. This special issue includes 14 papers: four extended papers originating from the first BIRNDL workshop 2016 and the BIR workshop at ECIR 2016, four extended system reports of the CL-SciSumm Shared Task 2016 and six original research papers submitted via the open call for papers.
CitationMayr P, Frommholz I, Cabanac G, Chandrasekaran MK, Jaidka K, Kan M-Y, Wolfram D (2018) 'Introduction to the special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL)', International Journal on Digital Libraries, 19 (2-3), pp.107-111.
PublisherSpringer Verlag (Germany)