Practices of Linked Open Data in Archaeology and Their Realisation in Wikidata

Schmidt, Sophie C.; Thiery, Florian; Trognitz, Martina

doi:10.3390/digital2030019

Cited by 10 publications

(13 citation statements)

References 63 publications

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“…Any place where a network analysis approach might be valid could perhaps be investigated through transformation into a knowledge graph embeddings approach. The use of graph databases in archaeology is gathering some steam (Schmidt et al 2022). Graph databases can be queried (depending on the approach) with query languages such as Cypher or SPARQL, which focus on traversing the graph in order to surface results.…”

Section: Discussionmentioning

confidence: 99%

“…Perhaps more familiar to archaeologists is the concept of “linked open data,” which can also be thought of as a knowledge graph in which the entities are anchored to online authority files using the infrastructure of the web itself to represent connections. For an archaeological overview of linked open data, see Schmidt et alia (2022).…”

Section: Knowledge Graph Embedding Models and The Organigrammentioning

confidence: 99%

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Relationship Prediction in a Knowledge Graph Embedding Model of the Illicit Antiquities Trade

Graham,

Yates,

El-Roby

et al. 2023

Adv. archaeol. pract.

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The transnational networks of the illicit and illegal antiquities trade are hard to perceive. We suggest representing the trade as a knowledge graph with multiple kinds of relationships that can be transformed by a neural architecture into a “knowledge graph embedding model.” The result is that the vectorization of the knowledge represented in the graph can be queried for missing “knowledge” of the trade by virtue of the various entities’ proximity in the multidimensional embedding space. In this article, we build a knowledge graph about the antiquities trade using a semantic annotation tool, drawing on the series of articles in the Trafficking Culture Project's online encyclopedia. We then use the AmpliGraph package, a series of tools for supervised machine learning (Costabello et al. 2019) to turn the graph into a knowledge graph embedding model. We query the model to predict new hypotheses and to cluster actors in the trade. The model suggests connections between actors and institutions hitherto unsuspected and not otherwise present in the original knowledge graph. This approach could hold enormous potential for illuminating the hidden corners of the illicit antiquities trade. The same method could be applied to other kinds of archaeological knowledge.

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Section: Discussionmentioning

confidence: 99%

Section: Knowledge Graph Embedding Models and The Organigrammentioning

confidence: 99%

Relationship Prediction in a Knowledge Graph Embedding Model of the Illicit Antiquities Trade

Graham,

Yates,

El-Roby

et al. 2023

Adv. archaeol. pract.

View full text Add to dashboard Cite

show abstract

“…or OpenDataSoft 12 , adopted by the Paris ODP 13 . Ojo et al [37] conducted a comparison of different platforms and concluded that CKAN, DKAN, and Semantic MediaWiki 14 are the most comprehensive options, highlighting their open source nature and easy extensibility.…”

Section: Enabling Technologymentioning

confidence: 99%

“…OD have been used in numerous fields highlighting ODbased smart city applications [10], [11]. They have also been used to develop solutions in many other fields such as digital twins [12], cultural heritage [13], agriculture [14], medicine [15], etc. Even OD has been used in artificial intelligence by providing datasets to train machine learning models [16], [17].…”

Section: Introductionmentioning

confidence: 99%