2020
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Kapidakis, S. Consistency and Interoperability on Dublin Core Element Values in Collections Harvested using the Open Archive Initiative Protocol for Metadata Harvesting Conference Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020), vol. 2, 2020, ISBN: 978-989-758-474-9. @conference{Kapidakis2020,
title = {Consistency and Interoperability on Dublin Core Element Values in Collections Harvested using the Open Archive Initiative Protocol for Metadata Harvesting},
author = {Kapidakis, S.},
url = {https://www.scitepress.org/Papers/2020/101120/101120.pdf},
isbn = {978-989-758-474-9},
year = {2020},
date = {2020-11-04},
booktitle = {Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020)},
journal = {Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020},
volume = {2},
pages = {181-188},
abstract = {When resource descriptions use the exact same value for an entity, this value is easier parsed, identified and utilized by automatic procedures. The use of controlled values, even when it is common and very useful, it is usually not enforced during the data entry. In this paper we study the use of the controlled values in many harvested collections and we study all Dublin Core elements and also their similarity. We mainly focus in the element language, as there is a lot of standardization on how to denote language values, followed by other elements that normally use controlled values. We discovered values that are repeated many times and in many collections and many more values that are used only once! The lack of coordination among collections during their creation results to many variations for each value, even when the value is used consistently and many times inside a collection. The study uses dendrogram to reveal the current usage of the Dublin Core elements inside and among active collections by clustering the collections with similar values and helps adopting better guidelines, designing better tools and improving the effectiveness of the collections.},
keywords = {Controlled Terms, controlled vocabularies, Dendrogram, Dublin core, harvesting, Language, Linked Open Data, Metadata, OAI-PMH, Repeated Values},
pubstate = {published},
tppubtype = {conference}
}
When resource descriptions use the exact same value for an entity, this value is easier parsed, identified and utilized by automatic procedures. The use of controlled values, even when it is common and very useful, it is usually not enforced during the data entry. In this paper we study the use of the controlled values in many harvested collections and we study all Dublin Core elements and also their similarity. We mainly focus in the element language, as there is a lot of standardization on how to denote language values, followed by other elements that normally use controlled values. We discovered values that are repeated many times and in many collections and many more values that are used only once! The lack of coordination among collections during their creation results to many variations for each value, even when the value is used consistently and many times inside a collection. The study uses dendrogram to reveal the current usage of the Dublin Core elements inside and among active collections by clustering the collections with similar values and helps adopting better guidelines, designing better tools and improving the effectiveness of the collections. |
2015
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Kouis, D; Vassilakaki, E; Vraimaki, E; Cheilakou, E; Saint, A C; Sakkopoulos, E; Viennas, E; Pikoulis, E -V; Nodarakis, N; Achilleopoulos, N; Zervos, S; Giannakopoulos, G; Kyriaki-Manessi, D; Tsakalidis, A; Koui, M Standardizing NDT& E Techniques and conservation metadata for cultural artifacts Book 2015, ISSN: 18650929. @book{Kouis2015,
title = {Standardizing NDT& E Techniques and conservation metadata for cultural artifacts},
author = {D Kouis and E Vassilakaki and E Vraimaki and E Cheilakou and A C Saint and E Sakkopoulos and E Viennas and E -V Pikoulis and N Nodarakis and N Achilleopoulos and S Zervos and G Giannakopoulos and D Kyriaki-Manessi and A Tsakalidis and M Koui},
doi = {10.1007/978-3-319-24129-6_38},
issn = {18650929},
year = {2015},
date = {2015-01-01},
booktitle = {Communications in Computer and Information Science},
volume = {544},
abstract = {textcopyright Springer International Publishing Switzerland 2015.Conservation activities, before and after decay detection, are considered as a prerequisite for maintaining cultural artifacts in their initial/original form. Taking into account the strict regulations where sampling from art works of great historical value is restricted or in many cases prohibited, the application of Non- Destructive Testing techniques (NDTs) during the conservation or even decay detection is highly appreciated by conservators. Non-destructive examination include the employment of multiple analysis approaches and techniques namely Infrared Thermography (IRT), Ultrasonics (US), Ground Penetrating Radar (GPR), VIS–NIR Fiber Optics Diffuse Reflectance Spectroscopy (FORS), portable X-Ray Fluorescence (XRF), Environmental Scanning Electron Microscopy with Energy Dispersive X-Ray Analysis (ESEM-EDX), Attenuated Total Reflectance- Fourier Transform Infrared Spectroscopy (ATR-FTIR) and micro-Raman Spectroscopy. These produce a huge amount of data, in different formats, such as text, numerical sets and visual objects (i.e. images, thermograms, radargrams, spectral data, graphs, etc). Moreover, conservation documentation presents major drawbacks, as fragmentation and incomplete description of the related information is usually the case. Assigning conservation data to the objects' metadata collection is very rare and not yet standardized. The Doc-Culture Project aims to provide solutions for the NDT application methodologies, analysis and process along with their output data and all related conservation documentation. The preliminary results are discussed in this paper.},
keywords = {CIDOC, Conservation, Cultural objects, DOC-Culture, Dublin core, KNN classifier, Metadata, Non-destructive testing techniques},
pubstate = {published},
tppubtype = {book}
}
textcopyright Springer International Publishing Switzerland 2015.Conservation activities, before and after decay detection, are considered as a prerequisite for maintaining cultural artifacts in their initial/original form. Taking into account the strict regulations where sampling from art works of great historical value is restricted or in many cases prohibited, the application of Non- Destructive Testing techniques (NDTs) during the conservation or even decay detection is highly appreciated by conservators. Non-destructive examination include the employment of multiple analysis approaches and techniques namely Infrared Thermography (IRT), Ultrasonics (US), Ground Penetrating Radar (GPR), VIS–NIR Fiber Optics Diffuse Reflectance Spectroscopy (FORS), portable X-Ray Fluorescence (XRF), Environmental Scanning Electron Microscopy with Energy Dispersive X-Ray Analysis (ESEM-EDX), Attenuated Total Reflectance- Fourier Transform Infrared Spectroscopy (ATR-FTIR) and micro-Raman Spectroscopy. These produce a huge amount of data, in different formats, such as text, numerical sets and visual objects (i.e. images, thermograms, radargrams, spectral data, graphs, etc). Moreover, conservation documentation presents major drawbacks, as fragmentation and incomplete description of the related information is usually the case. Assigning conservation data to the objects' metadata collection is very rare and not yet standardized. The Doc-Culture Project aims to provide solutions for the NDT application methodologies, analysis and process along with their output data and all related conservation documentation. The preliminary results are discussed in this paper. |