2020
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Kyriaki-Manessi, Daphne; Dendrinos, Markos; Tranta, Alexandra Seeking for the evolutionary history of lands based on ontology organized spatiotemporal data and reasoning tools Journal Article In: Journal of Integrated Information Management (JIIM), vol. 5, no. 2, pp. 5-12, 2020. @article{Kyriaki-Manessi2020b,
title = {Seeking for the evolutionary history of lands based on ontology organized spatiotemporal data and reasoning tools},
author = {Kyriaki-Manessi, Daphne and Dendrinos, Markos and Tranta, Alexandra},
url = {http://ejournals.uniwa.gr/index.php/JIIM/article/view/4452},
doi = {https://doi.org/10.26265/jiim.v5i2.4452},
year = {2020},
date = {2020-12-29},
journal = {Journal of Integrated Information Management (JIIM)},
volume = {5},
number = {2},
pages = {5-12},
abstract = {Abstract: The present study focuses on spatiotemporal historical data organized in an OWL Protégé ontology environment. It aims at exploring the possibilities of using deduction logic tools in correlating alternate names of geographic regions related to time periods and presenting spatiotemporal interconnections. The application paradigm includes spatial data of local regions and sites of contemporary Greece and Turkey related to Hellenic historical archaeological sites temporally distributed in an extended period from Neolithic Age to the 19th century. The results are presented through advanced visualization tools embedded in the Protégé environment.
Purpose: The present study focuses on spatiotemporal historical data organized in an OWL Protégé ontology environment. It aims at exploring the possibilities of using deduction logic tools in correlating alternate names of geographic regions related to time periods and presenting spatiotemporal interconnections.
Design/methodology/approach: Methodology follows the systematic review paradigm and includes the development of a protocol for the following elements. Protocol for the inclusion of different types of entities. Protocol for the ways of standard use and expansion, in this case TNG and AAT vocabularies. Protocol for the description of entities within the ontological framework and finally a set of rules for the selection of vocabularies and authority tools. Literature search was conducted grouped in units to the corresponding protocols and likewise research results were tested per protocol.
Findings: The central idea of this study was the exploitation of embodied Deduction Logic tools in an ontology environment in order to reveal evolutionary history topics (as the relation of historical named entities based on their temporal features), as well as to connect historical monuments to places described by their real then used name apart from their contemporary identification.
Originality/value: The work could have a practical informational application as its ability to connect to google maps and Wikipedia and other linked data can turn it into a useful information tool.
This work can also be used as a paradigm for cooperation between humanities and computational semantics, since there are a lot of available techniques that can enrich the information research and retrieval in digital humanities repositories, leading to the emergence of ‘hidden’ treasures in contexts not studied and exploited yet.},
keywords = {controlled vocabularies, Metadata, ontologies, spatiotemporal data},
pubstate = {published},
tppubtype = {article}
}
Abstract: The present study focuses on spatiotemporal historical data organized in an OWL Protégé ontology environment. It aims at exploring the possibilities of using deduction logic tools in correlating alternate names of geographic regions related to time periods and presenting spatiotemporal interconnections. The application paradigm includes spatial data of local regions and sites of contemporary Greece and Turkey related to Hellenic historical archaeological sites temporally distributed in an extended period from Neolithic Age to the 19th century. The results are presented through advanced visualization tools embedded in the Protégé environment.
Purpose: The present study focuses on spatiotemporal historical data organized in an OWL Protégé ontology environment. It aims at exploring the possibilities of using deduction logic tools in correlating alternate names of geographic regions related to time periods and presenting spatiotemporal interconnections.
Design/methodology/approach: Methodology follows the systematic review paradigm and includes the development of a protocol for the following elements. Protocol for the inclusion of different types of entities. Protocol for the ways of standard use and expansion, in this case TNG and AAT vocabularies. Protocol for the description of entities within the ontological framework and finally a set of rules for the selection of vocabularies and authority tools. Literature search was conducted grouped in units to the corresponding protocols and likewise research results were tested per protocol.
Findings: The central idea of this study was the exploitation of embodied Deduction Logic tools in an ontology environment in order to reveal evolutionary history topics (as the relation of historical named entities based on their temporal features), as well as to connect historical monuments to places described by their real then used name apart from their contemporary identification.
Originality/value: The work could have a practical informational application as its ability to connect to google maps and Wikipedia and other linked data can turn it into a useful information tool.
This work can also be used as a paradigm for cooperation between humanities and computational semantics, since there are a lot of available techniques that can enrich the information research and retrieval in digital humanities repositories, leading to the emergence of ‘hidden’ treasures in contexts not studied and exploited yet. |
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. |