C4ISTAR technologies ...
The dataset contains the list of the technologies in the context of a defence related domain, C4ISTAR. C4ISTAR, in general indicated as “Command and Control” or “C2”, is an acronym used in Defence for Command, Control, Communication, Computer, Information/Intelligence, Surveillance, Target Acquisiti...
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Online Access: | https://dx.doi.org/10.17632/88g8kcwj9r.1 https://data.mendeley.com/datasets/88g8kcwj9r/1 |
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ftdatacite:10.17632/88g8kcwj9r.1 2023-06-11T04:10:07+02:00 C4ISTAR technologies ... Giordano, Vito 2020 https://dx.doi.org/10.17632/88g8kcwj9r.1 https://data.mendeley.com/datasets/88g8kcwj9r/1 unknown Mendeley https://dx.doi.org/10.17632/88g8kcwj9r Creative Commons Attribution 4.0 International info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode CC-BY-4.0 Natural Language Processing Technology Defence Industry Text Mining Dataset dataset 2020 ftdatacite https://doi.org/10.17632/88g8kcwj9r.110.17632/88g8kcwj9r 2023-05-02T11:03:53Z The dataset contains the list of the technologies in the context of a defence related domain, C4ISTAR. C4ISTAR, in general indicated as “Command and Control” or “C2”, is an acronym used in Defence for Command, Control, Communication, Computer, Information/Intelligence, Surveillance, Target Acquisition, and Reconnaissance. The technologies are automatically mapped using a Text Mining technique, callled as Named Entity Recognition (NER). The approach to NER used in this article is twofold: a gazetteer based (or terminological-driven NER) approach and a rule-based approach. The text mining techniques are applied to a collection of the C4ISTAR documents, we collected English documents (166 documents) from diverse sources published from 2000 to 2020. The method applied allow us to map the C4ISTAR domain and to identify a list of 1090 technologies. The dataset published in this artiche contains the completed list of the technologies extracted in the C4ISTAR domain. ... Dataset artiche DataCite Metadata Store (German National Library of Science and Technology) Ner ENVELOPE(6.622,6.622,62.612,62.612) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Natural Language Processing Technology Defence Industry Text Mining |
spellingShingle |
Natural Language Processing Technology Defence Industry Text Mining Giordano, Vito C4ISTAR technologies ... |
topic_facet |
Natural Language Processing Technology Defence Industry Text Mining |
description |
The dataset contains the list of the technologies in the context of a defence related domain, C4ISTAR. C4ISTAR, in general indicated as “Command and Control” or “C2”, is an acronym used in Defence for Command, Control, Communication, Computer, Information/Intelligence, Surveillance, Target Acquisition, and Reconnaissance. The technologies are automatically mapped using a Text Mining technique, callled as Named Entity Recognition (NER). The approach to NER used in this article is twofold: a gazetteer based (or terminological-driven NER) approach and a rule-based approach. The text mining techniques are applied to a collection of the C4ISTAR documents, we collected English documents (166 documents) from diverse sources published from 2000 to 2020. The method applied allow us to map the C4ISTAR domain and to identify a list of 1090 technologies. The dataset published in this artiche contains the completed list of the technologies extracted in the C4ISTAR domain. ... |
format |
Dataset |
author |
Giordano, Vito |
author_facet |
Giordano, Vito |
author_sort |
Giordano, Vito |
title |
C4ISTAR technologies ... |
title_short |
C4ISTAR technologies ... |
title_full |
C4ISTAR technologies ... |
title_fullStr |
C4ISTAR technologies ... |
title_full_unstemmed |
C4ISTAR technologies ... |
title_sort |
c4istar technologies ... |
publisher |
Mendeley |
publishDate |
2020 |
url |
https://dx.doi.org/10.17632/88g8kcwj9r.1 https://data.mendeley.com/datasets/88g8kcwj9r/1 |
long_lat |
ENVELOPE(6.622,6.622,62.612,62.612) |
geographic |
Ner |
geographic_facet |
Ner |
genre |
artiche |
genre_facet |
artiche |
op_relation |
https://dx.doi.org/10.17632/88g8kcwj9r |
op_rights |
Creative Commons Attribution 4.0 International info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode CC-BY-4.0 |
op_doi |
https://doi.org/10.17632/88g8kcwj9r.110.17632/88g8kcwj9r |
_version_ |
1768384343511662592 |