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Tara Lee Andrews
Researcher at University of Bern
Publications - 21
Citations - 88
Tara Lee Andrews is an academic researcher from University of Bern. The author has contributed to research in topics: Graph (abstract data type) & Graph database. The author has an hindex of 5, co-authored 20 publications receiving 86 citations.
Papers
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Digital Scholarly Editions as Interfaces
Roman Bleier,Helmut W. Klug,Tara Lee Andrews,Joris van Zundert,Wout Dillen,Shane A. McGarry,Ginestra Ferraro,Anna-Maria Sichani,Stefan Dumont,Chiara Di Pietro,Roberto Rosselli Del Turco,Joshua Schäuble,Hans Walter Gabler,Elli Bleeker,Aodhán Kelly,Jeffrey C. Witt,Hugh Cayless,Federico Caria,Brigitte Mathiak,Elina Leblanc +19 more
TL;DR: The present volume “Digital Scholarly Editions as Interfaces” is the follow-up publication of the same-titled symposium that was held in 2016 at the University of Graz and the twelfth volume of the publication series of the Institute for Documentology and Scholarly Editing (IDE).
Dissertation
Prolegomena to a critical edition of the Chronicle of Matthew of Edessa, with a discussion of computer-aided methods used to edit the text
TL;DR: The authors developed a set of software tools to assist in the task of editing the Chronicle; these tools are useful for the creation of text editions in any language that can be represented through the TEI XML standard.
Book ChapterDOI
Cultures of Formalization: Towards an encounter between humanities and computing
Joris van Zundert,Smiljana Antonijevic,Anne Beaulieu,Karina van Dalen-Oskam,Douwe Zeldenrust,Tara Lee Andrews +5 more
TL;DR: The past three decades have seen several waves of interest in developing crossovers between academic research and computing; molecular biology is often cited as the prime exemplar of ‘what computation can do for a field’.
Journal ArticleDOI
Analysis of Variation Significance in Artificial Traditions Using Stemmaweb
TL;DR: It is shown that for most of the artificial traditions, human judgement was not significantly better than random selection for choosing the variant readings that fit the stemma in a text-genealogical pattern, and some of the implications are discussed.
Analyzing manuscript traditions using constraint-based data mining
Tara Lee Andrews,Hendrik Blockeel,Bart Bogaerts,Maurice Bruynooghe,Marc Denecker,S De Pooter,Caroline Macé,Jan Ramon +7 more
TL;DR: It is shown how a general-purpose declarative modeling language can be used to specify and solve data mining tasks in the area of philology, and it is shown that a prototypeDeclarative programming framework, IDP, allows for easy modeling and efficient solving of these tasks.