Extraction of cited concepts

Short description: Scans the plaintexts of publications for cited concepts, currently for references to datasets and software URIs.

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: -

Environment: Python, madIS, APSW

References:

• 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. doi:10.1007/978-3-319-67008-9_28

Authority: ATHENA RC • License: CC-BY/CC-0 • Code: iis/referenceextraction