Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/29153
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Agapiou, Athos | - |
dc.contributor.author | Lysandrou, Vasiliki | - |
dc.date.accessioned | 2023-05-02T10:48:27Z | - |
dc.date.available | 2023-05-02T10:48:27Z | - |
dc.date.issued | 2023-04-30 | - |
dc.identifier.citation | Heritage, 2023, vol.6, no.5, pp. 4072-4085 | en_US |
dc.identifier.issn | 25719408 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/29153 | - |
dc.description.abstract | In this communication we aim to provide an overview of Earth observation and remote sensing in archaeology following a non-traditional literature review approach, that is, investigating recent developments in artificial intelligence (AI) and language models. Towards this direction, the generative pre-trained transformer (ChatGPT) language model was used to extract relevant information. The ChatGPT language model—recently released by OpenAI—appears to provide an alternative way for retrieving comprehensive information for various thematic topics. ChatGPT is currently operated on a beta version by millions of users worldwide, free of access for a limited period. In this study, specific queries related to Earth observation and remote sensing in archaeology were made by the authors to the ChatGPT. Innovations and limitations are discussed, while a comparison with traditional bibliographic analysis is performed. | en_US |
dc.language.iso | en | en_US |
dc.relation | CIVIL ENGINEERING AND GEOMATICS INNOVATIVE RESEARCH ON HERITAGE (ENGINEER) | en_US |
dc.relation.ispartof | Heritage | en_US |
dc.rights | Attribution 4.0 International | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Review | en_US |
dc.subject | Earth observation archaeology | en_US |
dc.subject | Cropmarks | en_US |
dc.subject | Satellite archaeology | en_US |
dc.subject | Programming model | en_US |
dc.subject | ChatGPT | en_US |
dc.title | Interacting with the Artificial Intelligence (AI) Language Model ChatGPT: A Synopsis of Earth Observation and Remote Sensing in Archaeology | en_US |
dc.type | Article | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | Earth Observation Cultural Heritage Research Lab | en_US |
dc.subject.category | Civil Engineering | en_US |
dc.journals | Open Access | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.3390/heritage6050214 | en_US |
dc.relation.issue | 5 | en_US |
dc.relation.volume | 6 | en_US |
cut.common.academicyear | 2022-2023 | en_US |
dc.identifier.spage | 4072 | en_US |
dc.identifier.epage | 4085 | en_US |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
crisitem.project.funder | EC | - |
crisitem.project.grantno | HORIZON-WIDERA-2021-ACCESS-03/101079377 | - |
crisitem.project.fundingProgram | HE | - |
crisitem.project.openAire | info:eu-repo/grantAgreement/EC/HE/101079377 | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0001-9106-6766 | - |
crisitem.author.orcid | 0000-0002-1448-7599 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
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artificial-intelligence.pdf | 272.98 kB | Adobe PDF | View/Open |
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