Scripta manent: a CIDOC CRM semiotic reading of ancient texts

Felicetti, Achille; Murano, Francesca

doi:10.1007/s00799-016-0189-z

Cited by 7 publications

(1 citation statement)

References 2 publications

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“…The term knowledge graph was first coined by Google in 2012, defining a large database connecting things, not strings, through different types of relations. Since then, this type of database has played an important role in recommender systems [1], natural language processing and question answering [2], as well as other fields such as the digital humanities [3][4][5][6][7][8]. Within the humanities, the term knowledge graph can be considered a knowledge organization system [9].…”

Section: Introductionmentioning

confidence: 99%

CIDOC2VEC: Extracting Information from Atomized CIDOC-CRM Humanities Knowledge Graphs

El-Hajj

Valleriani

2021

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The development of the field of digital humanities in recent years has led to the increased use of knowledge graphs within the community. Many digital humanities projects tend to model their data based on CIDOC-CRM ontology, which offers a wide array of classes appropriate for storing humanities and cultural heritage data. The CIDOC-CRM ontology model leads to a knowledge graph structure in which many entities are often linked to each other through chains of relations, which means that relevant information often lies many hops away from their entities. In this paper, we present a method based on graph walks and text processing to extract entity information and provide semantically relevant embeddings. In the process, we were able to generate similarity recommendations as well as explore their underlying data structure. This approach was then demonstrated on the Sphaera Dataset which was modeled according to the CIDOC-CRM data structure.

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Section: Introductionmentioning

confidence: 99%

CIDOC2VEC: Extracting Information from Atomized CIDOC-CRM Humanities Knowledge Graphs

El-Hajj

Valleriani

2021

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Wikidata for Papyrologists: A reflection on data-modeling

Sahu-Hough

2023

2023 7th IEEE Congress on Information Science and Technology (CiSt)

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Between Written and Visual Communication: CIDOC CRM Ontology for Medieval and Early Modern European Graffiti

Trentin

Felicetti

2023

J. Comput. Cult. Herit.

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The development of graffiti studies during the last couple of decades highlighted the relevance and potential of graffiti as a complementary source for understanding different aspects of past societies. Moreover, the availability of digital documentation techniques crucially increased data production, showing the widespread presence of graffiti in Medieval and Early Modern contexts across Europe. However, the approach to historical graffiti has not been yet structured. Guidelines, specific analytical tools, and descriptors are still missing due to various reasons. First, graffiti are a multiform and multimodal graphic expression, so texts, signs, images must be considered together despite their different communicative nature. Secondly, due to their variety in forms and contents, graffiti have been studied from many perspectives – e.g., epigraphy, palaeography, history, art history, maritime studies- following the specific interests of each scholar. Consequently, the numerous and extensive contributions concerning graffiti highlight the lack of shared standards and approaches, hindering data analysis and interoperability. The panorama emerging is fragmentary and unstructured. This paper, thus, aims to offer a first step towards the development of a specific methodology for the analysis and study of Medieval and Early Modern European graffiti. Precisely, a specific ontology adopting CIDOC CRM for Medieval and Early Modern graffiti will be presented, as developed in a preliminary form within the DIGIGRAF project with the support of the ARIADNEplus network.

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Scripta manent: a CIDOC CRM semiotic reading of ancient texts

Cited by 7 publications

References 2 publications

CIDOC2VEC: Extracting Information from Atomized CIDOC-CRM Humanities Knowledge Graphs

CIDOC2VEC: Extracting Information from Atomized CIDOC-CRM Humanities Knowledge Graphs

Wikidata for Papyrologists: A reflection on data-modeling

Between Written and Visual Communication: CIDOC CRM Ontology for Medieval and Early Modern European Graffiti

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