@inproceedings{pollak-etal-2020-netviz,
title = "The {N}et{V}iz terminology visualization tool and the use cases in karstology domain modeling",
author = "Pollak, Senja and
Podpe{\v{c}}an, Vid and
Miljkovic, Dragana and
Stepi{\v{s}}nik, Uro{\v{s}} and
Vintar, {\v{S}}pela",
booktitle = "Proceedings of the 6th International Workshop on Computational Terminology",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.computerm-1.8",
pages = "55--61",
abstract = "We present the NetViz terminology visualization tool and apply it to the domain modeling of karstology, a subfield of geography studying karst phenomena. The developed tool allows for high-performance online network visualization where the user can upload the terminological data in a simple CSV format, define the nodes (terms, categories), edges (relations) and their properties (by assigning different node colors), and then edit and interactively explore domain knowledge in the form of a network. We showcase the usefulness of the tool on examples from the karstology domain, where in the first use case we visualize the domain knowledge as represented in a manually annotated corpus of domain definitions, while in the second use case we show the power of visualization for domain understanding by visualizing automatically extracted knowledge in the form of triplets extracted from the karstology domain corpus. The application is entirely web-based without any need for downloading or special configuration. The source code of the web application is also available under the permissive MIT license, allowing future extensions for developing new terminological applications.",
language = "English",
ISBN = "979-10-95546-57-3",
}
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<abstract>We present the NetViz terminology visualization tool and apply it to the domain modeling of karstology, a subfield of geography studying karst phenomena. The developed tool allows for high-performance online network visualization where the user can upload the terminological data in a simple CSV format, define the nodes (terms, categories), edges (relations) and their properties (by assigning different node colors), and then edit and interactively explore domain knowledge in the form of a network. We showcase the usefulness of the tool on examples from the karstology domain, where in the first use case we visualize the domain knowledge as represented in a manually annotated corpus of domain definitions, while in the second use case we show the power of visualization for domain understanding by visualizing automatically extracted knowledge in the form of triplets extracted from the karstology domain corpus. The application is entirely web-based without any need for downloading or special configuration. The source code of the web application is also available under the permissive MIT license, allowing future extensions for developing new terminological applications.</abstract>
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%0 Conference Proceedings
%T The NetViz terminology visualization tool and the use cases in karstology domain modeling
%A Pollak, Senja
%A Podpečan, Vid
%A Miljkovic, Dragana
%A Stepišnik, Uroš
%A Vintar, Špela
%S Proceedings of the 6th International Workshop on Computational Terminology
%D 2020
%8 may
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-57-3
%G English
%F pollak-etal-2020-netviz
%X We present the NetViz terminology visualization tool and apply it to the domain modeling of karstology, a subfield of geography studying karst phenomena. The developed tool allows for high-performance online network visualization where the user can upload the terminological data in a simple CSV format, define the nodes (terms, categories), edges (relations) and their properties (by assigning different node colors), and then edit and interactively explore domain knowledge in the form of a network. We showcase the usefulness of the tool on examples from the karstology domain, where in the first use case we visualize the domain knowledge as represented in a manually annotated corpus of domain definitions, while in the second use case we show the power of visualization for domain understanding by visualizing automatically extracted knowledge in the form of triplets extracted from the karstology domain corpus. The application is entirely web-based without any need for downloading or special configuration. The source code of the web application is also available under the permissive MIT license, allowing future extensions for developing new terminological applications.
%U https://aclanthology.org/2020.computerm-1.8
%P 55-61
Markdown (Informal)
[The NetViz terminology visualization tool and the use cases in karstology domain modeling](https://aclanthology.org/2020.computerm-1.8) (Pollak et al., CompuTerm 2020)
ACL