Knowledge Organisation and Digital Humanities: An International Webinar Series

Tipo: Seminário

Local: Canal de Youtube do CITCEM

Data: 30 Junho 2021 30 Dezembro 2021

Knowledge Organisation and Digital Humanities: An International Webinar Series

 

A joint organisation of the University of Porto and the University of Linnaeus 

CoordinationOlívia Pestana & Koraljka Golub 

2021 

 

Digital humanities (DH) is the critical study of how digital technologies and methods increase the analysis and interpretation of research questions. It addresses old problems with new media and asks new questions that could not have been asked with traditional means of humanistic research in sciences such as History, Literature, Art History, Classical Studies, Music and many others. 

Knowledge organisation (KO) is crucial for the evolution of DH, going from simple digitisation towards the creation of understandable, processable and searchable datasets. Furthermore, the variety of research projects going from the small scale into data-intensive projects promotes the discussion of solutions for both realities. 

This webinar series aims to carry out a transdisciplinary approach around these topics through the presentations of several experts in  KO and DH, leading to a productive discussion of theoretical and practical viewpoints. 

The KODH webinars are free and aimed at students, academics, and professionals interested in developing KO and DH. 

Each webinar is recorded and placed on the CITCEM YouTube Channel so you can watch it on your schedule. 

 

PROGRAM 

March 30th

Keynote: Ying-Hsang Liu - University of Southern Denmark 

June 30th

Keynote: Giovanni Colavizza - University of Amsterdam 

September 30th

Keynote: Jaqueline Pierazzo - University of Porto 

December 17th

Keynote: Anna Foka - Uppsala University

 

 

March 30th 

Keynote: Ying-Hsang Liu - University of Southern Denmark 

Title:

Are Controlled Vocabularies Still Useful for Information Retrieval and Digital Humanities? 

The usefulness of controlled vocabularies for information retrieval has been controversial for years, partly because of the complexities of the design and the different approaches to the evaluation from various disciplines. After a brief overview of how knowledge organization (KO) fits within the digital humanities (DH) curriculum and the recent development of data infrastructures, we will focus on the evaluation of controlled vocabularies for information retrieval by drawing from a series of controlled user experiment studies. We will demonstrate how different external variables, such as individual differences, user perceptions, and search interfaces affect search behavior, visual search, and search performance. The design and evaluation of interactive data visualization systems are proposed as a promising area for future research. 

 

Ying-Hsang Liu is an associate professor at the Department of Design and Communication, University of Southern Denmark. He holds a Ph.D. in information science from Rutgers University in the USA, with MA in linguistics and BA in library science from Taiwan. He worked at Charles Sturt University and The Australian National University in Australia before Denmark. His research program has focused on the design of interactive information technologies, with a particular emphasis on user perceptions and individual differences and the relationship between visual search and user search behavior. Highlights of the impact of his research on industry applications include the design of system evaluation protocols for the design of conversational assistants for pilots in a cockpit environment, user evaluation and re-indexing of an educational database, and development of user-adaptive computational models through eye gaze data for information visualization interfaces. He has published more than forty-five peer-reviewed journal articles and conference papers. He has served on the editorial boards of Online Information Review and Information Processing & Management, the iSchool Digital Humanities Curriculum Committee, and chaired several ASIS&T (Association for Information Science and Technology) committees.

 

Link para Youtube: 

https://youtu.be/s9viHbAqjow

 

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June 30th 

Keynote: Giovanni Colavizza - University of Amsterdam

Title:

Interlinking Cultural Heritage Collections via Scholarly Citation Networks

 

Cultural heritage collections, particularly of GLAM organizations (Galleries, Libraries, Archives, Museums), provide essential primary evidence to humanities scholars. Such collections have rapidly undergone digitization and are increasingly described and made accessible as linked data. This presents an opportunity: to interlink cultural heritage collections with scholarship via citations, using knowledge graphs. Humanities scholarship contains a wealth of references to primary sources which, when made into a knowledge graph, could greatly enhance the findability, accessibility, interoperability, and reusability (FAIR) of heritage collections in turn.

 

In this session, we present a brief overview of modern-day knowledge organization approaches relying on linked data in cultural heritage organizations, and do the same for databases of scholarly publications and their citations. We then showcase a prototype citation index on the historiography on Venice, which uses citations to primary sources for enhancing the accessibility of archival records and makes use of OpenCitations, an linked data infrastructure for citations.

 

Giovanni Colavizza is currently Assistant Professor of Digital Humanities at the University of Amsterdam. He did his PhD at the Digital Humanities Laboratory of the EPFL in Lausanne, working on methods for text mining and citation analysis of scholarly publications, and is co-founder of Odoma, a start-up offering customised machine learning techniques in the cultural heritage domain. Colavizza is interested in topics spanning from AI for cultural heritage (part of UvA CREATE), crypto art and non-fungible token markets, the public understanding of science.

 

Link para Youtube: 

https://youtu.be/dBHCW7bxJDk

 

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