The last post was about the terminology while performing Qualitative Data Analyses (QDA) with XML, this one will explain the interrelation of the terms of XML, tables and relational databases. Continue reading Metamodels and how they relate – part 3: From XML to relational database
In the last post, I said something about the terms of Qualitative Data Analysis (QDA) in general, this post will be about projecting the method and terminology to TEI-XML. Annotating text has a long tradition in the Digital Humanities, so I don’t have to invent something from scratch. The TEI-XML data model can easily be used for QDA – but also brings some new terms with it, which I must combine with the QDA-terminology.
Continue reading Metamodels and how they relate – part 2: From QDA to XML/TEI
During my data modeling process of historical occupations, I must go through various meta model transformations. Starting with Qualitative Data Analysis (QDA) in XML to structure the important segments of historical texts, I’m going on with that information to create normalised and enriched data in tabular form, which in turn is imported to a graph database to build an ontology. Surfing between the meta models may cause headaches, because there is a lot of terms to mix up and it is sometimes hard to decide which data from one point of model belongs to which point of another model. Attributes exist in XML, but also in relational databases; do they describe the same information? Do they contain the same data? What is the relationship between an individual in RDF/OWL and a tuple in a relational database? In this blog series I will walk through the meta models of Qualitative Data Analysis (QDA), XML, relational databases, simple graphs, the labeled property graph database neo4j and the ontology language RDF/OWL to focus on the terminology of each meta model and intersections and differences between the individual terms. Continue reading Metamodels and how they relate – part 1: Qualitative Data Analyses