Use this url to cite publication: https://cris.mruni.eu/cris/handle/007/18443
LL(O)D and NLP perspectives on semantic change for humanities research
Type of publication
Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)
Author(s)
| Author | Affiliation |
|---|---|
Armaselu, Florentina | |
Title
LL(O)D and NLP perspectives on semantic change for humanities research
Publisher (trusted)
IOS Press |
Date Issued
| Date |
|---|
2022 |
Extent
p. 1051-1080
Is part of
Semantic Web. Amsterdam : IOS Press, 2022, vol. 13, iss. 6.
Field of Science
Abstract (en)
This paper presents an overview of the LL(O)D and NLP methods, tools and data for detecting and representing semantic change, with its main application in humanities research. The paper’s aim is to provide the starting point for the construction of a workflow and set of multilingual diachronic ontologies within the humanities use case of the COST Action Nexus Linguarum, European network for Web-centred linguistic data science, CA18209. The survey focuses on the essential aspects needed to understand the current trends and to build applications in this area of study.
Is Referenced by
Type of document
type::text::journal::journal article::research article
ISSN (of the container)
1570-0844
2210-4968
WOS
000862910800006
eLABa
131543701
Coverage Spatial
Nyderlandai / Netherlands (NL)
Language
Anglų / English (en)
Bibliographic Details
195
Funding(s)
European Cooperation in Science and Technology (COST) |
Creative Commons License
Access Rights
Atviroji prieiga / Open Access
| Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
|---|---|---|---|---|---|---|---|---|
Semantic Web | 3 | 5.1 | 4.4 | 6.4 | 3 | 0.601 | 2022 | Q2 |
| Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
|---|---|---|---|---|---|---|---|---|
Semantic Web | 3 | 5.1 | 4.4 | 6.4 | 3 | 0.601 | 2022 | Q2 |
| Journal | Cite Score | SNIP | SJR | Year | Quartile |
|---|---|---|---|---|---|
Semantic Web | 6.8 | 2.16 | 0.828 | 2022 | Q1 |