Data Modeling

Flanders, Julia; Jannidis, Fotis

doi:10.1002/9781118680605.ch16

Cited by 37 publications

(7 citation statements)

References 6 publications

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“…When choosing data models and metadata standards, there is always a tradeoff. Flanders and Jannidis (2015) suggest different strategies for dealing with this tradeoff. When it comes to the purpose of a model, they distinguish between curation-driven and research-driven data modelers.…”

Section: Data Models and Metadatamentioning

confidence: 99%

Theater as Data

Varela¹

2021

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Section: Data Models and Metadatamentioning

confidence: 99%

Theater as Data

Varela¹

2021

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“…This need increases exponentially with the recognition of digital humanities as a discipline, and the use of information software systems for storing, indexing, searching, and reasoning about humanistic data. Within this context, there is a large number of works on modelling information in humanities fields [8][9][10], organized into two underlying categories. On the one hand, humanistic information modelling studies are derived from curation and archives studies, whose practitioners have considerable experience in storing and processing information.…”

Section: Uncertain Information In Humanities Fieldsmentioning

confidence: 99%

Conceptualization and Non-Relational Implementation of Ontological and Epistemic Vagueness of Information in Digital Humanities

Martín-Rodilla

González-Pérez

2019

Informatics

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Research in the digital humanities often involves vague information, either because our objects of study lack clearly defined boundaries, or because our knowledge about them is incomplete or hypothetical, which is especially true in disciplines about our past (such as history, archaeology, and classical studies). Most techniques used to represent data vagueness emerged from natural sciences, and lack the expressiveness that would be ideal for humanistic contexts. Building on previous work, we present here a conceptual framework based on the ConML modelling language for the expression of information vagueness in digital humanities. In addition, we propose an implementation on non-relational data stores, which are becoming popular within the digital humanities. Having clear implementation guidelines allow us to employ search engines or big data systems (commonly implemented using non-relational approaches) to handle the vague aspects of information. The proposed implementation guidelines have been validated in practice, and show how we can query a vagueness-aware system without a large penalty in analytical and processing power.

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“…Although inconsistent in nature, Franklin acknowledged the time constraints and problems involved with converting PDF files to OCR, but valued text-data mining as an evolving process. Metadata standards have since improved through the adoption of the Text Encoding Initiative, which enhances the ability for digital humanists to process data by computerized applications (Pierazzo, 2016) through conformant data to markup texts (Flanders and Jannidis, 2016). Roued-Cunliffe (2017) noted that genealogists frequently collect and manage data in a digital repository, attaching information in the form of metadata (e.g.…”

Section: Where Does Genealogy Fit Within the Digital Humanities?mentioning

confidence: 99%

“…Ancestry.com, HeritageQuest and FamilySearch,) to create familial representations and establish relationships among personal family trees, or connect with distant relatives through a common identified ancestor. As Flanders and Jannidis (2016) modeled textual variants, genealogists can participate in constructing models on the micro- and macrolevels. New programs such as the Ancestry DNA, 23andMe and the National Geographic Genographic Project establish intersectional relationships with the sciences to map DNA relationships, ethnic composition and migration patterns, in addition to constructing biological provenance (at least to the extent that present scientific data can provide).…”

Section: Where Does Genealogy Fit Within the Digital Humanities?mentioning

confidence: 99%

Finding a place for genealogy and family history in the digital humanities

Hoeve

2018

DLP

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Purpose Despite its growing popularity, there is a noticeable absence of references to the inclusion of genealogy and family history studies within the field of digital humanities. New forms of inclusiveness, particularly in production-coding and cultural analysis, closely align genealogy and family history with the core tenants practiced among humanities computing and digital humanities. This paper aims to prove that genealogy as family history should be formally recognized within this cohort, as it can serve as a valuable and innovative partner for advocacy and technological advancement of the field. Design/methodology/approach By examining the literature, genealogy will be defined according to its use in the digital humanities, as well as its use in family history studies. The core tenants of humanities computing and digital humanities will be identified and compared against the research methodology and technological tools used in genealogy and family history research. The comparison will determine how closely the fields align, and if genealogy defined as family history should be used, and included within the field of digital humanities. Findings The progression of genealogy and family history from production to cultural analysis corresponds with the transition of production and coding (influenced by humanities computing) to the inclusion of experimental cultural research adopted by the digital humanities. Genealogy’s use of technological tools, such as databases, text encoding, data-text mining, graphic information systems and DNA mapping, demonstrates the use of coding and production. Cultural analysis through demographic study, crowdsourcing and establishing cultural connections illustrates new methods of scholarship, and connects coding and cultural criticism, serving as a bridge between digital humanities and the humanities at large. As genealogy continues to create new partnerships of a collaborative nature, it can, and will, continue to contribute to new areas of study within the field. As these practices continue to converge with the digital humanities, genealogy should be recognized as a partner and member in the digital humanities cohort. Originality/value Despite its growing popularity, there is a noticeable absence of references to the inclusion of genealogy and family history studies within the field of the digital humanities. The term genealogy resonates differently within the digital humanities, primarily articulating the history of the field over the study and research of family lineage. This study seeks to demonstrate how genealogy and family history can fit within the digital humanities, providing a new perspective that has not yet been articulated in the scholarly literature.

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Data Modeling

Cited by 37 publications

References 6 publications

Theater as Data

Theater as Data

Conceptualization and Non-Relational Implementation of Ontological and Epistemic Vagueness of Information in Digital Humanities

Finding a place for genealogy and family history in the digital humanities

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