Spatiotemporal Knowledge Representation in AROM‐ST

Moisuc, Bogdan; Miron, Alina Dia; Villanova‐Olivier, Marlène; Gensel, Jérôme

doi:10.1002/9781118561928.ch4

Cited by 2 publications

(2 citation statements)

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“…Some databases integrate data temporal aspect by relying on a temporal version of SQL (TSQL2) [16]. The time model in AROM-ST [17] offers several time types including instant, interval, multiInstant, and multiInterval types. The importance of time considerations in ontologies was initiated by the semantic web community [18].…”

Section: Prosopographical Concepts: a State Of The Artmentioning

confidence: 99%

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Modeling Historical Social Networks Databases

Akoka¹,

Comyn-Wattiau²,

Lamassé³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Historical social networks are analyzed using prosopographical methods. Prosopography is a branch of historical research that focuses on the identification of social networks that appear in historical sources. It aims to represent and to interpret historical data, sourced from texts. Conceptual modeling imparts the capability to process these large data sets. This paper outlines a conceptual approach to designing a prosopographical database encompassing uncertainty. Our contribution is threefold: i) a generic certaintybased prosopographical conceptual model; ii) two meta-models with a mapping between them; iii) an illustrative example generating a customized prosopographical relational model. Unlike past approaches, our design process helps us to integrate disparate points of view as expressed in the prosopography community. We apply our approach to the prosopographical database Studium Parisiense dedicated to members of Paris schools and university between the twelfth and sixteenth centuries. This instantiation validates the usefulness of our approach.

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Section: Prosopographical Concepts: a State Of The Artmentioning

confidence: 99%

“…The representation of time integrates discrete time (Instant), continuous time (Interval), and their composition. It is adapted from the AROM-ST model [17].…”

Section: Building a Generic Prosopographical Conceptual Modelmentioning

confidence: 99%