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Transforming the CIDOC-CRM model into a megalithic monument property graphuse asterix (*) to get italics
Ariele Câmara, Ana de Almeida, João Oliveira Please use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
2024
<p>This paper presents a method to store information about megalithic monuments' building components as graph nodes in a knowledge graph (KG). As a case study we analyse the dolmens from the region of Pavia (Portugal). To build the KG, information has been extracted from unstructured data to populate a schema model based on the International Committee for Documentation - Conceptual Reference Model (CIDOC-CRM). In order to prepare the archaeological monument's information for bulk loading, it was transformed into semi-structured data. While the semi-structured file was used to populate the classes with their respective properties and instances, the KG labels and types were defined using some of the entities and relations defined by the CIDOC-CRM. The knowledge-driven model was built to represent dolmens in a formal and structured manner using Neo4J, a property-graph database. Modeling a labeled property graph based on predefined labels as a KG enables to transform textual semantic data into instances and properties. Thus, we show that it is possible to represent at a granular level all the information about the structural components of monuments since heterogeneities, granularities, and large amounts of data can be handled by a KG. Therefore, a KG implemented using a native graph database can improve data storage and processing, making it interoperable either between humans, between humans and machines and machine-to-machine.</p>
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knowledge graph, dolmen, CIDOC-CRM, labeled property graph, Neo4J
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Computational archaeology
Enrique Cerrillo-Cuenca suggested: Ivo Santos, ifs@uevora.pt No need for them to be recommenders of PCIArchaeology. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct
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2023-05-29 13:46:49
Isto Huvila