24 lines
1.5 KiB
Markdown
24 lines
1.5 KiB
Markdown
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sidebar_position: 4
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---
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# Extraction of cited concepts
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***Short description:*** Scans the plaintexts of publications for cited concepts, currently for references to datasets and software URIs.
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***Algorithmic details:***
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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.
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***Parameters:***
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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
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***Limitations:*** -
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***Environment:***
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Python, [madIS](https://github.com/madgik/madis), [APSW](https://github.com/rogerbinns/apsw)
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***References:***
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* 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)
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***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)
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