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Extraction of Acknowledged Concepts

Property	Description
Short description	Scans the plaintexts of publications for acknowledged concepts, including grant identifiers (projects) of funders, accession numbers of bioetities, EPO patent mentions, as well as custom concepts that can link research objects to specific research communities and initiatives in OpenAIRE.
Authority	ATHENA Research Center, Greece
Licence	CC-BY/CC-0
Algorithmic details	The algorithm processes the publication's fulltext and extracts references to acknowledged concepts. It applies pattern matching and string join between the fulltext and a target database which contains the title, the acronym and the identifier of the searched concept.
Parameters	Concept titles, acronyms, and identifiers, publication's identifiers and fulltexts
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., Zacharia, E., Dimitropoulos, H., Manola, N., Ioannidis, Y. (2022). DETEXA: Declarative Extensible Text Exploration and Analysis. In: , et al. Linking Theory and Practice of Digital Libraries. TPDL 2022. Lecture Notes in Computer Science, vol 13541. Springer, Cham.