A project review under the focus of ‘complexities’ on the example of exploreAT!-Reference-Cited by-同舟云学术

A project review under the focus of ‘complexities’ on the example of exploreAT!

Published:2021-10-01 Issue:Supplement_2 Volume:36 Page:ii78-ii85
ISSN:2055-7671
Container-title:Digital Scholarship in the Humanities
language:en
Short-container-title:

Author:

Dorn Amelie¹^ORCID,Wandl-Vogt Eveline²,Palfinger Thomas³,Therón Roberto⁴,Way Andy⁵,Abgaz Yalemisew⁶,Benito Alejandro⁷

Affiliation:

1. Austrian Centre for Digital Humanities and Cultural Heritage, Austrian Academy of Sciences, Austria

2. Austrian Centre for Digital Humanities and Cultural Heritage, Austrian Academy of Sciences, Austria and Exploration space, Austrian Academy of Sciences, Austria and Ars Electronica Research Institute “knowledge for humanity,” Ars Electronica, Austria and metaLab (at) Harvard, Harvard University, USA

3. Exploration space, Austrian Academy of Sciences, Austria and Ludwig Boltzmann Gesellschaft, LBG Open Innovation in Science Center, Austria

4. VisUSAL Research Group, Universidad de Salamanca, Spain

5. ADAPT Centre, School of Computing, Dublin City University, Glasnevin Campus, Dublin 9, Dublin, Ireland

6. ADAPT Centre, School of Computing, Dublin City University, Glasnevin Campus, Dublin 9, Dublin, Irelan

7. VisUSAL Research Group, Universidad de Salamanca, Spain

Abstract

Abstract This article provides insights into dealing with complexities in the Digital Humanities project exploreAT!. By exploring a non-standard language collection for cultural insights, a three-fold approach is presented looking into concrete realizations and solutions of tackling challenges in terms of Open Innovation infrastructure, technology and the topic of choice, food. Methods and processes applied and developed in the project are aimed to serve as examples for future projects with similar data sets.

Funder

Nationalstiftung of the Austrian Academy of Sciences

Universidad de Salamanca

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Linguistics and Language,Language and Linguistics,Information Systems

Link

https://academic.oup.com/dsh/article-pdf/36/Supplement_2/ii78/41091146/fqab004.pdf

Reference32 articles.

1. Semantic modelling and publishing of traditional data collection questionnaires and answers;Abgaz;Information,2018

2. Cross-domain visual exploration of academic corpora via the latent meaning of user-authored keywords;Benito-Santos;IEEE Access,2019

3. Creating meaningful narratives in collections of historical lexical data;Benito;GI_Forum, 6: