Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29153
DC FieldValueLanguage
dc.contributor.authorAgapiou, Athos-
dc.contributor.authorLysandrou, Vasiliki-
dc.date.accessioned2023-05-02T10:48:27Z-
dc.date.available2023-05-02T10:48:27Z-
dc.date.issued2023-04-30-
dc.identifier.citationHeritage, 2023, vol.6, no.5, pp. 4072-4085en_US
dc.identifier.issn25719408-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/29153-
dc.description.abstractIn 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.isoenen_US
dc.relationCIVIL ENGINEERING AND GEOMATICS INNOVATIVE RESEARCH ON HERITAGE (ENGINEER)en_US
dc.relation.ispartofHeritageen_US
dc.rightsAttribution 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectReviewen_US
dc.subjectEarth observation archaeologyen_US
dc.subjectCropmarksen_US
dc.subjectSatellite archaeologyen_US
dc.subjectProgramming modelen_US
dc.subjectChatGPTen_US
dc.titleInteracting with the Artificial Intelligence (AI) Language Model ChatGPT: A Synopsis of Earth Observation and Remote Sensing in Archaeologyen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationEarth Observation Cultural Heritage Research Laben_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.3390/heritage6050214en_US
dc.relation.issue5en_US
dc.relation.volume6en_US
cut.common.academicyear2022-2023en_US
dc.identifier.spage4072en_US
dc.identifier.epage4085en_US
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairetypearticle-
item.cerifentitytypePublications-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0001-9106-6766-
crisitem.author.orcid0000-0002-1448-7599-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.project.funderEC-
crisitem.project.grantnoHORIZON-WIDERA-2021-ACCESS-03/101079377-
crisitem.project.fundingProgramHE-
crisitem.project.openAireinfo:eu-repo/grantAgreement/EC/HE/101079377-
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