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Title

The course builds upon Extracting Lexical Data: XPath for Dictionary Nerds and introduces the basics of XSL Transformations (XSLT), a standard language for transforming XML documents.

DARIAH Director

CCBY 4.0

Transforming Lexical Data: XSLT for Dictionary Nerds

Training module

This course will help users learn how to use oXygen XML, a versatile, professional-grade XML editor to edit, validate, query and transform lexicographic data.

Mastering oXygen XML Editor for Dictionary Nerds

The course will focus on modeling dictionaries using TEI Lex-0, a subset of the community standard TEI (Text Encoding Initiative).

Modeling Dictionaries in TEI Lex-0

This course will introduce the theories, practices, and methods of digitizing legacy dictionaries for research, preservation and online distribution by focusing on the process of converting paper-based dictionaries to electronic format through image capture, text capture, data modeling and data enrichment.

Capturing, Modeling and Transforming Lexical Data: An Introduction

The goal of this course is to introduce a brief history of dictionaries as tools for the organization of knowledge about words and their meanings, and to analyze different ways of understanding and classifying the dictionary genre.

Introduction to Dictionaries

XPath (XML Path Language) is a standard query language for selecting nodes from XML documents. In this step-by-step tutorial, you will learn how to write XPath expressions in order to navigate around our XML-encoded dictionaries and select only those bits of data that you are interested in.

Extracting Lexical Data: XPath for Dictionary Nerds

This course is an introduction to the theories, practices, and methods of digitizing legacy dictionaries for research, preservation and online distribution. It focuses on a particular technique of modeling and describing lexical data using eXtensible Markup Language (XML) in accordance with the Guidelines of the Text Encoding Initiative, a de-facto standard for text encoding among humanities researchers.

Digitising Dictionaries

DARIAH Director Toma Tasovac spoke to fellow DARIAHns and colleagues from prospective DARIAH countries about the role of training and education in digital research infrastructures.

Salvador Ros is an Associate Professor at UNED (National Distance Education University) at the School of Computer Science. Currently, He is the Technical Director of POSTDATA ERC Starting Grant and LyrAIcs proof of concept project, and Director of the Master of Big Data's architectures and technologies and Data Science. Salvador Ros has been Director of Learning Technologies at UNED for six years and Vice Dean of Technologies at Computer Science School for six years. He has received the Extraordinary Doctoral Award in the UNED for his PhD dissertation and two special best paper awards. He is a strategical and innovation Manager in the Public sector. He graduated from the Leadership Program for Public Sector Management by IESE Business School, Universidad de Navarra, in a Strategic Senior Management for Universities by Universidad de Nebrija y Politécnica de Barcelona and the Leadership Program for Innovation and entrepreneurship in Public Sector by Deusto Business School at Universidad de Deusto.  He has been a senior member of the IEEE Education society since 2007.  His research and professional activity, in general, is focused on enhanced learning technologies for distance learning scenarios and learning analytics, big data, and an IA applied to Science and Humanities and strategic consultant for the public sector.

Toma Tasovac

Resources