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(2017) Research and advanced technology for digital libraries, Dordrecht, Springer.
High-pass text filtering for citation matching
Yannis Foufoulas, Lefteris Stamatogiannakis, Harry Dimitropoulos, Yannis Ioannidis
pp. 355-366
Open publications are increasing at such a rapid pace that it is almost impossible for researchers to keep up with them. Even in terms of computational complexity, the data are becoming bigger and bigger, so there is a great need to provide new and faster algorithms for mining scientific articles. One such important mining task is finding citation links between the literature, which can assist researchers looking into the literature, finding dependencies between publications, and so on. In this paper, we introduce a greedy citation matching algorithm, that works with plain unstructured text and mines citations from papers regardless of the format in which the citations are presented. This research is supported by the European Commission under projects OpenAIRE2020 (643410) and Human Brain Project (720270).
Publication details
DOI: 10.1007/978-3-319-67008-9_28
Full citation:
Foufoulas, Y. , Stamatogiannakis, L. , Dimitropoulos, H. , Ioannidis, Y. (2017)., High-pass text filtering for citation matching, in J. Kamps, G. Tsakonas, Y. Manolopoulos, L. Iliadis & I. Karydis (eds.), Research and advanced technology for digital libraries, Dordrecht, Springer, pp. 355-366.
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