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Extraction of Cited Concepts

Property	Description
Short description	Scans the plaintexts of publications for cited concepts, currently for references to datasets and software URIs.
Authority	ATHENA Research Center, Greece
Licence	CC-BY/CC-0
Algorithmic details	The algorithm extracts citations to specific datasets and software. It extracts the citation section of a publication's fulltext and applies string matching against a target database which includes an inverted index with dataset/software titles, urls and other metadata.
Parameters	Title, URL, creator names, publisher names and publication year for each concept to create the target database. Identifier and publication's fulltext to extract the cited concepts.
Limitations	N/A
Code repository	https://github.com/openaire/iis/tree/master/iis-wf/iis-wf-referenceextraction/src/main/resources/eu/dnetlib/iis/wf/referenceextraction
Environment	Python, madIS (https://github.com/madgik/madis), APSW (https://github.com/rogerbinns/apsw)
References & resources	Foufoulas Y., Stamatogiannakis L., Dimitropoulos H., Ioannidis Y. (2017) “High-Pass Text Filtering for Citation Matching”. In: Kamps J., Tsakonas G., Manolopoulos Y., Iliadis L., Karydis I. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2017. Lecture Notes in Computer Science, vol 10450. Springer, Cham.