forked from D-Net/openaire-graph-docs
25 lines
1.6 KiB
Markdown
25 lines
1.6 KiB
Markdown
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# Extraction of Cited Concepts
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<span className="todo">TODO</span>
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| Property | Description |
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| --- | --- |
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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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| Authority | ATHENA Research Center, Greece |
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| Licence | describes the licensing and rights held on the algorithm |
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| 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. |
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| 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. |
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| Limitations | N/A |
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| Code repository | https://github.com/openaire/iis/tree/master/iis-wf/iis-wf-referenceextraction/src/main/resources/eu/dnetlib/iis/wf/referenceextraction |
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| Environment | Python, madIS (https://github.com/madgik/madis), APSW (https://github.com/rogerbinns/apsw) |
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| 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.](https://doi.org/10.1007/978-3-319-67008-9_28) |
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