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...

Full description

Bibliographic Details
Main Author: Giordano, Vito
Format: Dataset
Language:unknown
Published: Mendeley 2020
Subjects:
Ner
Online Access:https://dx.doi.org/10.17632/88g8kcwj9r.1
https://data.mendeley.com/datasets/88g8kcwj9r/1
id ftdatacite:10.17632/88g8kcwj9r.1
record_format openpolar
spelling 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