The Experts below are selected from a list of 304092 Experts worldwide ranked by ideXlab platform
Filippo Stanco - One of the best experts on this subject based on the ideXlab platform.
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Pattern recognition and artificial intelligence techniques for Cultural Heritage
Pattern Recognition Letters, 2020Co-Authors: Francesco Fontanella, Francesco Colace, Mario Molinara, A. Scotto Di Freca, Filippo StancoAbstract:Abstract This paper is the editorial of the virtual special issue (VSI) “Pattern recognition and artificial intelligence techniques for Cultural Heritage”, of which the authors of this paper have been the guest editors. It aims to bring together the work of experts from the fields of pattern recognition and artificial intelligence and that of Cultural Heritage. This multidisciplinary subject covers a wide spectrum spanning from the study of the Cultural Heritage to the development of tools based on PR/AI techniques for Cultural Heritage analysis, reconstruction and understanding. The papers included in this special issue allowed us to highlight the advances on this subject from a wide-angle perspective, as well as to stimulate new theoretical and applied researches for better characterizing the state of the art in this domain.
Erin Seekamp - One of the best experts on this subject based on the ideXlab platform.
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Are Cultural Heritage and resources threatened by climate change? A systematic literature review
Climatic Change, 2017Co-Authors: Sandra Fatorić, Erin SeekampAbstract:Climate change poses serious threats to the protection and preservation of Cultural Heritage and resources. Despite a high level of scholarly interest in climate change impacts on natural and socio-economic systems, a comprehensive understanding of the impacts of climate change on Cultural Heritage and resources across various continents and disciplines is noticeably absent from the literature. To address this gap, we conducted a systematic literature review methodology to identify and characterize the state of knowledge and how the Cultural Heritage and resources at risk from climate change are being explored globally. Results from 124 reviewed publications show that scholarly interest in the topic is increasing, employs a wide range of research methods, and represents diverse natural and social science disciplines. Despite such increasing and diverse interest in climate change and Cultural Heritage and resources, the geographic scope of research is limited (predominantly European focused). Additionally, we identified the need for future studies that not only focuses on efficient, sustainable adaptation planning options but also documents if, and how, the implementation of Cultural Heritage and resources adaptation or preservation is taking place. This systematic literature review can help direct scholarly research in climate change and Cultural Heritage and resource area. Ultimately, we hope these new directions can influence policy-making for preservation and adaptation of Cultural Heritage and Cultural resources globally.
Francesco Fontanella - One of the best experts on this subject based on the ideXlab platform.
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Pattern recognition and artificial intelligence techniques for Cultural Heritage
Pattern Recognition Letters, 2020Co-Authors: Francesco Fontanella, Francesco Colace, Mario Molinara, A. Scotto Di Freca, Filippo StancoAbstract:Abstract This paper is the editorial of the virtual special issue (VSI) “Pattern recognition and artificial intelligence techniques for Cultural Heritage”, of which the authors of this paper have been the guest editors. It aims to bring together the work of experts from the fields of pattern recognition and artificial intelligence and that of Cultural Heritage. This multidisciplinary subject covers a wide spectrum spanning from the study of the Cultural Heritage to the development of tools based on PR/AI techniques for Cultural Heritage analysis, reconstruction and understanding. The papers included in this special issue allowed us to highlight the advances on this subject from a wide-angle perspective, as well as to stimulate new theoretical and applied researches for better characterizing the state of the art in this domain.
Sandra Fatorić - One of the best experts on this subject based on the ideXlab platform.
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Are Cultural Heritage and resources threatened by climate change? A systematic literature review
Climatic Change, 2017Co-Authors: Sandra Fatorić, Erin SeekampAbstract:Climate change poses serious threats to the protection and preservation of Cultural Heritage and resources. Despite a high level of scholarly interest in climate change impacts on natural and socio-economic systems, a comprehensive understanding of the impacts of climate change on Cultural Heritage and resources across various continents and disciplines is noticeably absent from the literature. To address this gap, we conducted a systematic literature review methodology to identify and characterize the state of knowledge and how the Cultural Heritage and resources at risk from climate change are being explored globally. Results from 124 reviewed publications show that scholarly interest in the topic is increasing, employs a wide range of research methods, and represents diverse natural and social science disciplines. Despite such increasing and diverse interest in climate change and Cultural Heritage and resources, the geographic scope of research is limited (predominantly European focused). Additionally, we identified the need for future studies that not only focuses on efficient, sustainable adaptation planning options but also documents if, and how, the implementation of Cultural Heritage and resources adaptation or preservation is taking place. This systematic literature review can help direct scholarly research in climate change and Cultural Heritage and resource area. Ultimately, we hope these new directions can influence policy-making for preservation and adaptation of Cultural Heritage and Cultural resources globally.
Elizabeth Joan Kelly - One of the best experts on this subject based on the ideXlab platform.
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digital Cultural Heritage and wikimedia commons licenses copyright or copywrong
Journal of Copyright in Education and Librarianship, 2019Co-Authors: Elizabeth Joan KellyAbstract:Cultural Heritage institutions can contribute to public knowledge and increase awareness of their collections by uploading digital objects to Wikimedia Commons for use on Wikipedia and other Wikimedia Foundation projects. However, prior research has established the difficulty of and/or hesitation by many Cultural Heritage institutions in clearly and accurately labeling the copyright status of their born-digital and digitized collections. With this knowledge, how likely is it that digital Cultural Heritage will be findable and usable on Wikimedia Commons? This study seeks to determine how accurate rights statements for Cultural Heritage objects on Wikimedia Commons are, and whether inaccuracies can be linked to problematic rights statements in Cultural Heritage digital libraries or whether the inaccuracies stem from Wikimedia Commons. By evaluating the rights statements, licenses, and sources for 308 Wikimedia Commons objects from 57 Cultural Heritage organizations and comparing that information to corresponding licenses from digital libraries, we can begin to develop best practices and educational needs for digital librarians, archives, museum curators, and Wikipedians alike to improve the user experience for those using digital Cultural Heritage on Wikimedia projects.
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Reuse of Wikimedia Commons Cultural Heritage Images on the Wider Web
Evidence Based Library and Information Practice, 2019Co-Authors: Elizabeth Joan KellyAbstract:Abstract Objective – Cultural Heritage institutions with digital images on Wikimedia Commons want to know if and how those images are being reused. This study attempts to gauge the impact of digital Cultural Heritage images from Wikimedia Commons by using Reverse Image Lookup (RIL) to determine the quantity and content of different types of reuse, barriers to using RIL to assess reuse, and whether reused digital Cultural Heritage images from Wikimedia Commons include licensing information. Methods – 171 digital Cultural Heritage Wikimedia Commons images from 51 Cultural Heritage institutions were searched using the Google images “Search by image” tool to find instances of reuse. Content analysis of the digital Cultural Heritage images and the context in which they were reused was conducted to apply broad content categories. Reuse within Wikimedia Foundation projects was also recorded. Results – A total of 1,533 reuse instances found via Google images and Wikimedia Commons’ file usage reports were analyzed. Over half of reuse occurred within Wikimedia projects or wiki aggregator and mirror sites. Notable People, people, historic events, and buildings and locations were the most widely reused topics of digital Cultural Heritage both within Wikimedia projects and beyond, while social, media gallery, news, and education websites were the most likely places to find reuse outside of wiki projects. However, the content of reused images varied slightly depending on the website type on which they were found. Very few instances of reuse included licensing information, and those that did often were incorrect. Reuse of Cultural Heritage images from Wikimedia Commons was either done without added context or content, as in the case of media galleries, or was done in ways that did not distort or mischaracterize the images being reused. Conclusion – Cultural Heritage institutions can use this research to focus digitization and digital content marketing efforts in order to optimize reuse by the types of websites and users that best meet their institution’s mission. Institutions that fear reuse without attribution have reason for concern as the practice of reusing both Creative Commons and public domain media without rights statements is widespread. More research needs to be conducted to determine if notability of institution or collection affects likelihood of reuse, as preliminary results show a weak correlation between number of images searched and number of images reused per institution. RIL technology is a reliable method of finding image reuse but is a labour-intensive process that may best be conducted for selected images and specific assessment campaigns. Finally, the reused content and context categories developed here may contribute to a standardized set of codes for assessing digital Cultural Heritage reuse.
