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	<title>KIKLO Unique Object Identification &#8211; ENIGMA EU</title>
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	<description>Endorsing Safeguarding, Protection &#38; Provenance Management of Cultural Heritage</description>
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	<title>KIKLO Unique Object Identification &#8211; ENIGMA EU</title>
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		<title>Unique Object Identification</title>
		<link>https://eu-enigma.eu/2024/03/04/kiklo-unique-object-identification/</link>
		
		<dc:creator><![CDATA[enigma_admin]]></dc:creator>
		<pubDate>Mon, 04 Mar 2024 07:21:32 +0000</pubDate>
				<category><![CDATA[Articles]]></category>
		<category><![CDATA[KIKLO Unique Object Identification]]></category>
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					<description><![CDATA[by KIKLO 
The Unique Object Identifier (UOI) is an international licensing/identification system that serves as the key for accessing interoperable databases with dynamic information on objects. ]]></description>
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					<div class="title-h3 light elementor-heading-title elementor-size-default">UNIQUE OBJECT</div>				</div>
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					<div class="title-h1 elementor-heading-title elementor-size-default">CULTURE heritage</div>				</div>
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						<p>Identifying and cataloging <strong>Unique Objects</strong> in Cultural Heritage involves creating a system that ensures accurate documentation, preservation, and accessibility.</p>							</div>
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						<p>The <strong>Unique Authenticity Identifier (UAI©)</strong> is a system that serves as the key for accessing interoperable databases with dynamic information on objects. The <strong>UAI </strong>system collects metadata, assigns <strong>UAI</strong> licenses, and offers other services such as reference linking or metadata lookup. Here are some approaches and technologies commonly used for <strong>Unique Authenticity Identifier </strong>in Cultural Heritage:</p>							</div>
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	<blockquote class="gem-text-output"><p>The <strong>Unique Authenticity Identifier </strong>is a system that serves as the key for accessing<br />interoperable databases with dynamic information on objects.</p></blockquote>
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				<div class="elementor-element elementor-element-5b4ff15 flex-horizontal-align-default flex-horizontal-align-tablet-default flex-horizontal-align-mobile-default flex-vertical-align-default flex-vertical-align-tablet-default flex-vertical-align-mobile-default elementor-widget elementor-widget-heading" data-id="5b4ff15" data-element_type="widget" data-e-type="widget" data-widget_type="heading.default">
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					<div class="title-h3 light elementor-heading-title elementor-size-default"><strong> 1. Barcoding and Radio Frequency Identification (RFID) Technology</strong></div>				</div>
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						<p><strong>Barcoding</strong> aims to assign each object a unique barcode and create a database linking barcodes to detailed information about each item. A great deal of image-based techniques applied nowadays can be exploited to directly embed metadata on the resulting data, and different solutions exist to prevent data and metadata permanent linkage issues, such as barcode integration. Barcodes propose today interesting features (robustness, capacity, ease of use) and a high technology readiness level [1].</p><p>Next to barcoding, <strong>Radio Frequency Identification (RFID)</strong> is popular in inventory management systems; it electronically transmits information to track the movement of materials. This technology allows for non-contact identification and can be useful in tracking objects within a controlled environment. The most common application of this technology has been in Art Museums and Galleries, where the RFID transponder can be easily affixed to the backing board, stretcher, or frame of an artwork without damage. Not only is this technology helpful for conducting inventories and tracking object movement, but it is also an effective security tool that can be used to track artwork, notify security of the movement or disturbance of an object, and create an alarm situation if an attempt is made to remove an object from the museum building. One of the benefits of RFID technology over barcodes is the ability to read the transponder without it actually having to be visible to the reader. One of the drawbacks is that metal and water can effectively block the signal if it is between the RFID tag and the reader [2].</p>							</div>
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					<div class="title-h3 light elementor-heading-title elementor-size-default"><strong> 2. QR Codes
</strong></div>				</div>
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				<div class="elementor-element elementor-element-ff363e6 flex-horizontal-align-default flex-horizontal-align-tablet-default flex-horizontal-align-mobile-default flex-vertical-align-default flex-vertical-align-tablet-default flex-vertical-align-mobile-default elementor-widget elementor-widget-text-editor" data-id="ff363e6" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
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						<p>Employing QR codes for patrimony and Cultural Heritage digitalizes culture-sharing and heritage site visits. Cultural sites, museums, galleries, and even churches integrate QR codes to improve the experience of domestic and international tourists. QR codes facilitate a faster way of sharing information, making it more appealing to heritage site visitors. They can easily access information about a place’s Cultural Heritage in just a single scan using their smartphone. QR codes can store various types of information and link directly to digital databases [3].</p><p>When used as a tool for Cultural Heritage promotion and cultural patrimony preservation, QR codes bridge the physical and digital worlds. Information about tangible and intangible cultures is made available digitally. Moreover, QR codes can create an immersive experience through each scanner’s phone. Cultural site curators can upload a document, image, video, or audio file, customize an HTML page or even embed the link of their website into a QR code [3].</p>							</div>
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					<div class="title-h3 light elementor-heading-title elementor-size-default"><strong> 3. Database Management Systems
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						<p><strong>Database Management Systems</strong> for Cultural Heritage allow efficient storage and retrieval of information related to cultural objects. This could include details about the object&#8217;s origin, history, and any conservation efforts. Database Management Systems are used to manage diverse heritage data (e.g., on the history, value, location, and current condition of cultural heritage), and share this information among interested parties. These systems range in scale from those operated by national governments to those operated by individual experts. With the development of web technology, it is becoming more possible for similar institutions to create and operate databases, with free online tools or platforms supporting this movement. However, despite these improvements, many challenges remain [4].</p>							</div>
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					<div class="title-h3 light elementor-heading-title elementor-size-default"><strong> 4.
    </strong><strong>Geolocation mapping </strong><strong>

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<strong>Geolocation mapping</strong> is the process of associating geographic coordinates with specific locations or points of interest. By integrating this technology, Cultural Heritage sites can be accurately mapped and showcased to everyone worldwide. This can be particularly useful for outdoor installations, monuments, or artifacts with a strong connection to a particular place [5].

By mapping historical landmarks, architectural marvels and culturally significant landscapes, experts can create comprehensive databases and develop strategies to ensure their longevity. Geolocation technology has opened up new avenues for us to explore and immerse ourselves in the past. By combining historical data with precise geographic coordinates, virtual tours and augmented reality experiences can be created, providing an interactive and engaging way to learn about heritage sites [6].</li>
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					<div class="title-h3 light elementor-heading-title elementor-size-default"><strong>5.
</strong><strong>Machine Learning and Artificial Intelligence</strong><strong>

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						<p>The application of <strong>Machine Learning</strong> (ML) to Cultural Heritage has evolved since basic statistical approaches, such as Linear Regressio,n to complex Deep Learning models. Training machine learning models aims to automatically classify and identify objects based on various attributes. This can help speed up the cataloguing process and improve accuracy. The question remains how much of this actively improves on the underlying algorithm versus using it within a ‘black box’ setting [7].</p><p><strong>Artificial Intelligence</strong> (AI) and Cultural Heritage represent a combination that for several years has interested both scientific and cultural institutions regarding the potential of possible interactions and aggregations among the various players in these areas [8].</p><p><strong>Artificial Intelligence </strong>and <strong>Machine Learning</strong> offer enormous potential for applications in the digitization and digital curation of Cultural Heritage. But Cultural Heritage institutions have also produced large amounts of digital data that can be suitable to improve AI methods and models. At the same time, there are problems and issues with data used in the AI industry and research, which frequently lack quality curation and introduce or reinforce biases [9].</p>							</div>
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					<div class="title-h3 light elementor-heading-title elementor-size-default"><strong>6.
Collaborative Platforms</strong></div>				</div>
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						<p>The term ‘Cultural <strong>Collaborative Platform</strong>’ refers to any digital environment that allows audiences to contribute to the construction of knowledge related to cultural objects in interaction with one or more cultural institutions (support of collaborative cataloguing efforts). This allows experts from different locations to contribute information and collectively build a comprehensive database. Moreover, citizen participation in Cultural Heritage is particularly facilitated in the digital ecosystem by collaborative platforms. But there are substantial differences between amateur and institutional environments. Neither is neutral: in the former, participation is conditioned by political/ideological visions, in the latter by scientific protocols [10].</p><p>When implementing a <strong>Unique Authenticity Identifier </strong>system for Cultural Heritage, it&#8217;s essential to consider the specific needs and characteristics of the objects, the available resources, and the long-term preservation requirements. Additionally, ensuring data security, privacy, and standardisation is crucial to any system.</p>							</div>
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						<p>All the above solutions are efficient and can be applied to already known and registered objects. One of ENIGMA’s objectives is the development of the novel concept of the<strong> Unique Authenticity Identifier (UAI).</strong> A multi-parametric non-destructive digital composite indicator will describe the UAI. ENIGMA aims to use the <strong>UAI</strong> in order to identify an unknown cultural good by comparing its <strong>UAI</strong> with the <strong>UAIs</strong> of known registered cultural goods. The identification solution will provide an easy-to-read visualization presenting the similarity of the unknown cultural good to known registered ones.</p>							</div>
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					<div class="title-h3 light elementor-heading-title elementor-size-default"><p><strong>References and resources</strong></p><strong>
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						<p> </p><p>[1] Pamart, Anthony, et al., <em>A metadata enriched system for the documentation of multi-modal digital imaging surveys</em>, 2022.</p><p><a href="https://www.researchgate.net/publication/365039299_metadata_enriched_system_for_the_documentation_of_multi-modal_digital_imaging_surveys">https://www.researchgate.net/publication/365039299_metadata_enriched_system_for_the_documentation_of_multi-modal_digital_imaging_surveys</a></p><p>[2] Abdur Rasheed, <em>Digital Technology and Knowledge Management in Museums</em>.</p><p><a href="https://www.academia.edu/6541620/Abdur_Rasheed_Digital_Technology_and_Knowledge_Management_in_Museums">https://www.academia.edu/6541620/Abdur_Rasheed_Digital_Technology_and_Knowledge_Management_in_Museums</a></p><p>[3] Belle B., <em>How to Use QR Codes for Patrimony and Cultural Heritage</em>, QR TIGER, 2023.</p><p><a href="https://www.qrcode-tiger.com/qr-codes-for-patrimony-and-cultural-heritage">https://www.qrcode-tiger.com/qr-codes-for-patrimony-and-cultural-heritage</a></p><p>[4] International Centre for the Study of the Preservation and Restoration of Cultural Property, <em>Information Data Management and Cultural Heritage</em>.</p><p><a href="https://www.iccrom.org/events/information-data-management-and-cultural-heritage">https://www.iccrom.org/events/information-data-management-and-cultural-heritage</a></p><p>[5] Mohamed, Hebatallah A., Vascon, Sebastiano, Hibraj, Feliks, James, Stuart, Pilutti, Diego, Del Bue, Alessio, Pelillo, Marcello, <em>Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding</em>, Lecture Notes in Computer Science book series (LNCS), Volume 13645, 2023.</p><p><a href="https://link.springer.com/chapter/10.1007/978-3-031-37731-0_12">https://link.springer.com/chapter/10.1007/978-3-031-37731-0_12</a></p><p>[6] UTILITIES ONE, <em>Understanding Heritage Through Geolocation Exploring Cultural Significance using Spatial Data</em>, 2023.</p><p><a href="https://utilitiesone.com/understanding-heritage-through-geolocation-exploring-cultural-significance-using-spatial-data">https://utilitiesone.com/understanding-heritage-through-geolocation-exploring-cultural-significance-using-spatial-data</a></p><p>[7] Fiorucci, Marco, Khoroshiltseva, Marina, Massimiliano, Pontil, James, Stuart, <em>Machine Learning for Cultural Heritage: A Survey</em>, 2020.</p><p><a href="https://www.researchgate.net/publication/339317426_Machine_Learning_for_Cultural_Heritage_A_Survey">https://www.researchgate.net/publication/339317426_Machine_Learning_for_Cultural_Heritage_A_Survey</a></p><p>[8] Bordoni, Luciana, Mele, Francesco, Sorgente, Antonio, <em>Artificial Intelligence for Cultural Heritage</em>, Cambridge Scholars Publishing, 2016.</p><p><a href="https://cambridgescholars.com/product/978-1-4438-9085-4">https://cambridgescholars.com/product/978-1-4438-9085-4</a></p><p>[9] Neudecker, Clemens, <em>Cultural Heritage as Data: Digital Curation and Artificial Intelligence in Libraries</em>, 3rd Conference on Digital Curation Technologies, 2022.</p><p><a href="https://www.google.com/url?sa=t&amp;rct=j&amp;q=&amp;esrc=s&amp;source=web&amp;cd=&amp;cad=rja&amp;uact=8&amp;ved=2ahUKEwjsl9_Z_eGDAxVDgP0HHYBFBecQFnoECA4QAQ&amp;url=https%3A%2F%2Fceur-ws.org%2FVol-3234%2Fpaper2.pdf&amp;usg=AOvVaw3i8lLVwbQB-xKEH0ijTv0P&amp;opi=89978449">https://www.google.com/url?sa=t&amp;rct=j&amp;q=&amp;esrc=s&amp;source=web&amp;cd=&amp;cad=rja&amp;uact=8&amp;ved=2ahUKEwjsl9_Z_eGDAxVDgP0HHYBFBecQFnoECA4QAQ&amp;url=https%3A%2F%2Fceur-ws.org%2FVol-3234%2Fpaper2.pdf&amp;usg=AOvVaw3i8lLVwbQB-xKEH0ijTv0P&amp;opi=89978449</a></p><p>[10] Marta, Severo, Collaborative Platforms: Cultural Heritage and Participation, Public History Weekly, 2022.</p><p><a href="https://www.researchgate.net/publication/357878608_Collaborative_Platforms_Cultural_Heritage_and_Participation">https://www.researchgate.net/publication/357878608_Collaborative_Platforms_Cultural_Heritage_and_Participation</a></p>							</div>
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