Matches in SemOpenAlex for { <https://semopenalex.org/work/W4328112926> ?p ?o ?g. }
- W4328112926 abstract "Purpose This study aims to analyze the impact of Artificial Intelligence (AI) and Machine Learning (ML) on heritage conservation and preservation, and to identify relevant future research trends, by applying scientometrics. Design/methodology/approach A total of 1,646 articles, published between 1985 and 2021, concerning research on the application of ML and AI in cultural heritage were collected from the Scopus database and analyzed using bibliometric methodologies. Findings The findings of this study have shown that although there is a very important increase in academic literature in relation to AI and ML, publications that specifically deal with these issues in relation to cultural heritage and its conservation and preservation are significantly limited. Originality/value This study enriches the academic outline by highlighting the limited literature in this context and therefore the need to advance the study of AI and ML as key elements that support heritage researchers and practitioners in conservation and preservation work." @default.
- W4328112926 created "2023-03-22" @default.
- W4328112926 creator A5032268323 @default.
- W4328112926 creator A5041687698 @default.
- W4328112926 creator A5075966892 @default.
- W4328112926 date "2023-03-23" @default.
- W4328112926 modified "2023-09-25" @default.
- W4328112926 title "New technologies for the conservation and preservation of cultural heritage through a bibliometric analysis" @default.
- W4328112926 cites W1478081461 @default.
- W4328112926 cites W1864589697 @default.
- W4328112926 cites W1909597240 @default.
- W4328112926 cites W1964396812 @default.
- W4328112926 cites W1974546285 @default.
- W4328112926 cites W1981433115 @default.
- W4328112926 cites W1986614398 @default.
- W4328112926 cites W1989411673 @default.
- W4328112926 cites W2000424045 @default.
- W4328112926 cites W2021675560 @default.
- W4328112926 cites W2023543923 @default.
- W4328112926 cites W2025468035 @default.
- W4328112926 cites W2055764609 @default.
- W4328112926 cites W2057441837 @default.
- W4328112926 cites W2071707134 @default.
- W4328112926 cites W2122374500 @default.
- W4328112926 cites W2122925692 @default.
- W4328112926 cites W2139416101 @default.
- W4328112926 cites W2149884040 @default.
- W4328112926 cites W2157190232 @default.
- W4328112926 cites W2167872491 @default.
- W4328112926 cites W2264139484 @default.
- W4328112926 cites W2595383794 @default.
- W4328112926 cites W2766203946 @default.
- W4328112926 cites W2773309836 @default.
- W4328112926 cites W2792952603 @default.
- W4328112926 cites W2795403431 @default.
- W4328112926 cites W2888245595 @default.
- W4328112926 cites W2899283552 @default.
- W4328112926 cites W2942441674 @default.
- W4328112926 cites W2946303606 @default.
- W4328112926 cites W3001554335 @default.
- W4328112926 cites W3010011727 @default.
- W4328112926 cites W3089563436 @default.
- W4328112926 cites W3145296828 @default.
- W4328112926 cites W3155045454 @default.
- W4328112926 cites W3160856016 @default.
- W4328112926 cites W4238591974 @default.
- W4328112926 doi "https://doi.org/10.1108/jchmsd-07-2022-0124" @default.
- W4328112926 hasPublicationYear "2023" @default.
- W4328112926 type Work @default.
- W4328112926 citedByCount "0" @default.
- W4328112926 crossrefType "journal-article" @default.
- W4328112926 hasAuthorship W4328112926A5032268323 @default.
- W4328112926 hasAuthorship W4328112926A5041687698 @default.
- W4328112926 hasAuthorship W4328112926A5075966892 @default.
- W4328112926 hasConcept C124101348 @default.
- W4328112926 hasConcept C144024400 @default.
- W4328112926 hasConcept C161191863 @default.
- W4328112926 hasConcept C166957645 @default.
- W4328112926 hasConcept C17744445 @default.
- W4328112926 hasConcept C190248442 @default.
- W4328112926 hasConcept C199539241 @default.
- W4328112926 hasConcept C205649164 @default.
- W4328112926 hasConcept C2522767166 @default.
- W4328112926 hasConcept C25343380 @default.
- W4328112926 hasConcept C2776950860 @default.
- W4328112926 hasConcept C2779343474 @default.
- W4328112926 hasConcept C2779473830 @default.
- W4328112926 hasConcept C36289849 @default.
- W4328112926 hasConcept C41008148 @default.
- W4328112926 hasConcept C525823164 @default.
- W4328112926 hasConcept C60671577 @default.
- W4328112926 hasConcept C83867959 @default.
- W4328112926 hasConcept C93371752 @default.
- W4328112926 hasConceptScore W4328112926C124101348 @default.
- W4328112926 hasConceptScore W4328112926C144024400 @default.
- W4328112926 hasConceptScore W4328112926C161191863 @default.
- W4328112926 hasConceptScore W4328112926C166957645 @default.
- W4328112926 hasConceptScore W4328112926C17744445 @default.
- W4328112926 hasConceptScore W4328112926C190248442 @default.
- W4328112926 hasConceptScore W4328112926C199539241 @default.
- W4328112926 hasConceptScore W4328112926C205649164 @default.
- W4328112926 hasConceptScore W4328112926C2522767166 @default.
- W4328112926 hasConceptScore W4328112926C25343380 @default.
- W4328112926 hasConceptScore W4328112926C2776950860 @default.
- W4328112926 hasConceptScore W4328112926C2779343474 @default.
- W4328112926 hasConceptScore W4328112926C2779473830 @default.
- W4328112926 hasConceptScore W4328112926C36289849 @default.
- W4328112926 hasConceptScore W4328112926C41008148 @default.
- W4328112926 hasConceptScore W4328112926C525823164 @default.
- W4328112926 hasConceptScore W4328112926C60671577 @default.
- W4328112926 hasConceptScore W4328112926C83867959 @default.
- W4328112926 hasConceptScore W4328112926C93371752 @default.
- W4328112926 hasLocation W43281129261 @default.
- W4328112926 hasOpenAccess W4328112926 @default.
- W4328112926 hasPrimaryLocation W43281129261 @default.
- W4328112926 hasRelatedWork W2221101589 @default.
- W4328112926 hasRelatedWork W2369747949 @default.
- W4328112926 hasRelatedWork W3021205932 @default.
- W4328112926 hasRelatedWork W3044163874 @default.
- W4328112926 hasRelatedWork W3215447256 @default.