24 lines
1.5 KiB
Markdown
24 lines
1.5 KiB
Markdown
---
|
|
sidebar_position: 4
|
|
---
|
|
|
|
# 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](https://github.com/madgik/madis), [APSW](https://github.com/rogerbinns/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](https://doi.org/10.1007/978-3-319-67008-9_28)
|
|
|
|
***Authority:*** ATHENA RC • ***License:*** CC-BY/CC-0 • ***Code:*** [iis/referenceextraction](https://github.com/openaire/iis/tree/master/iis-wf/iis-wf-referenceextraction/src/main/resources/eu/dnetlib/iis/wf/referenceextraction)
|