Data Symposium

Tweets on the upcoming workshop: Knowledge Organization and Data Modeling in the Humanities: From Relational Databases to RDF

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Modeling as a centre of practice and pedagogy http://t.co/0VQ66SwU

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Text, Intertext, and Context: Modeling a Map of Medieval Scholarly Practices http://t.co/INZvg4Oj

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It's all about integration and conceptual change! http://t.co/1acXXqFH

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Tagging in the cloud: a data model for collaborative markup http://t.co/IbSe4kCm

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Today's featured abstract: On the value of comparing truly remarkable texts http://t.co/3e9Ov2gP

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Today's abstract: Comparing representations of and operations on overlap http://t.co/cIB8xwX3

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Check out today's featured abstract: “Virtual Scriptorium St. Matthias” http://t.co/GpYuHFkb

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Check out today's featured abstract: Where Semantics Lies http://t.co/3mSvzBV1

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Today's featured abstract: What is the Thing that Changes? http://t.co/sAgcXUmW

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Today's featured abstract: Digital literary history and its discontent http://t.co/uol60y5Q

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Objects, Process, Context in Time and Space – and how we model all this in the Europeana Data Model http://t.co/NdiQRE8Q

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Today's featured abstract: "Discovering our models: aiming at metaleptic markup applications through TEI customization” http://t.co/1VJ1A7E9

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Which are the basic operations on marked up document objects (deletion, insertion, extraction, …), and how should they be defined?

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What is a document object (a string of characters, an XML element, a node in a graph, …)?

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How do you model an historical happening?

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What is the relation between the narrow focus of modelling for implementation and the broader view of modelling the nature of a domain?

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Today's featured abstract: "To use ontology, or not?"

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Why (when) do we need a model that represents multiple concurrent hierarchies, as opposed to a simpler model...?

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Today's featured abstract: "Schema as architectural blueprint for a model supporting overlap" http://t.co/4Kwk80mq

[Data Symposium @datasymposium]

How are data collections in the humanities to be treated? Is there an analogy to research data in the sciences?