The goal of this course is to introduce students to the important role played by dictionary usage research when developing and implementing new dictionaries. The course will address the question of how different types of target users (in terms of age, language proficiency and pre-existing skills) or different types of use (encoding, decoding, translation etc.) influence the scope of the dictionary, the lemma selection process or the very structure of a dictionary entry. At the end of this course, students will have a fundamental understanding of the ways in which user research (both commercially and academically) can contribute to the tailoring of lexicographic content. Going beyond the realm of user-centered lexicography, the course will also explore possible user contributions in the creation of content and the increasing importance of crowdsourcing in lexicography.
- This chapter provides a short introduction to the collaborative tool Figma, which allows teams to design an effective user interface for a website or project.
- This tutorial is supposed to teach interested novices how to quickly create a dictionary in accordance with the Guidelines of the Text Encoding Initiative (TEI), ideally in the Lex-0 flavour. It makes use of a tool that was created in the framework of the VICAV project at the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH).
- In the following HowTo, you will familiarise yourself with the basic terminology used in prosopographic data modelling and Semantic Web, in relation to the projects NAMPI and VieCPro. These main concepts are introduced: ontologies, vocabularies, RDF (Resource Description Framework), OWL (Web Ontology Language), SKOS (Simple Knowledge Organisation System), SPARQL (SPARQL Protocol and RDF Query Language), LOD (Linked Open Data) and LOD-cloud.
- This resource gives an introduction to the possibilities of prosopographic data modelling of individuals in the Semantic Web (i.e. ascribing events, relations, or dates to individuals using semantic technologies). You will gain an understanding of how information can be recorded about individuals. After a general introduction to the main concepts such as class vs. instance/individual and external reference resources, you can explore exercises taken from the NAMPI and VieCPro projects.
- This resource expands on the concept of ontologies in the Semantic Web as a "formal, explicit specification of a shared conceptualization" (Studer et al, 1998). You can explore examples of ontologies by engaging with exercises which illustrate how classes and properties represent these concepts in the NAMPI and VieCPro projects, illustrating how ontologies are used in prosopographic data modelling.
- The resource explores the distinction between the general concept vocabularies and controlled vocabularies. You will learn how a controlled vocabulary is used "to organize knowledge for subsequent retrieval" in prosopographic data modelling and for which purposes it is utilised. You are encouraged to apply tools such as SKOS on sample datasets from the NAMPI and VieCPro projects, illustrating the range of potential applications of Linked Open Vocabularies in the Semantic Web.