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AI3SD Video: Linked Data – Examples and Heuristics

AI3SD Video: Linked Data – Examples and Heuristics
AI3SD Video: Linked Data – Examples and Heuristics
With their inherent flexibility and robustness to change, the decentralised interconnected knowledge graphs that lie at the heart of semantic web technologies are ideally suited for the challenges of converting the messy, often incomplete, and internally heterogeneous datasets of the Humanities into machine processable data. Although a matter of some debate, the reuse and adoption of known ontologies, schema, and taxonomies across disparate projects across the Arts, Humanities, and Social Sciences landscape has been steadily increasing over the last decade in particular. This talk will describe the practical approaches and heuristics of such Linked Data projects, commenting on the effect of political, institutional, and socio-cultural factors in their planning, implementation, and evaluation.
AI3SD Event, Data Quality, Data Science, Data Sharing, Datasets, Digitisation, Ontologies, RDF, Reproducible Research, Research, Research Data Management, Responsible Research, Semantic Web, Semantics, Training
Nurmikko-Fuller, Terhi
c32a9007-4076-4828-8ddb-96b49a36f3b5
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
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Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b
Nurmikko-Fuller, Terhi
c32a9007-4076-4828-8ddb-96b49a36f3b5
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b

Nurmikko-Fuller, Terhi (2020) AI3SD Video: Linked Data – Examples and Heuristics. Kanza, Samantha, Frey, Jeremy G., Hooper, Victoria and Knight, Nicola (eds.) AI3SD, PSDS & Patterns Failed it to Nailed it: Getting Data Sharing Right Seminar Series 2020, Online, Southampton, United Kingdom. 22 Oct - 03 Dec 2020. (doi:10.5258/SOTON/P0066).

Record type: Conference or Workshop Item (Other)

Abstract

With their inherent flexibility and robustness to change, the decentralised interconnected knowledge graphs that lie at the heart of semantic web technologies are ideally suited for the challenges of converting the messy, often incomplete, and internally heterogeneous datasets of the Humanities into machine processable data. Although a matter of some debate, the reuse and adoption of known ontologies, schema, and taxonomies across disparate projects across the Arts, Humanities, and Social Sciences landscape has been steadily increasing over the last decade in particular. This talk will describe the practical approaches and heuristics of such Linked Data projects, commenting on the effect of political, institutional, and socio-cultural factors in their planning, implementation, and evaluation.

Video
FI2NI-Event2-Talk3-TerhiNurmikko-Fuller-051120 - Version of Record
Available under License Creative Commons Attribution.
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More information

Published date: 5 November 2020
Additional Information: Dr Nurmikko-Fuller is a Senior lecturer in Digital Humanities at the Australian National University. Her research involves interdisciplinary experimentation into the ways digital technologies can be used in the Humanities, Arts, and Social Sciences, including the role of gamification and informal online environments in education. She is a member of the Australian Government Linked Data Working Group, a Fellow of the Software Sustainability Institute, UK; and a eResearch South Australia (eRSA) HASS DEVL (Humanities Arts and Social Sciences Data Enhanced Virtual Laboratory) Champion, as well as iSchool Research Fellow at the Univeristy of Illinois at Urbana-Champaign, USA (2019 – 2021) and a British Library Researcher in Residence. In 2020, Dr Nurmikko-Fuller was appointed a member of the Territory Records Advisory Council, Territory Records Office, Treasury and Economic Development Directorate, Australian Capital Territory (ACT) Government. She is on the Steering Committee of Linked Pasts, an international consortium for Linked Data in the Humanities, and a Trustee of Conductive Music, a UK-based charity that focuses on providing educational resources that bring music, science, and creativity together in education.
Venue - Dates: AI3SD, PSDS & Patterns Failed it to Nailed it: Getting Data Sharing Right Seminar Series 2020, Online, Southampton, United Kingdom, 2020-10-22 - 2020-12-03
Keywords: AI3SD Event, Data Quality, Data Science, Data Sharing, Datasets, Digitisation, Ontologies, RDF, Reproducible Research, Research, Research Data Management, Responsible Research, Semantic Web, Semantics, Training

Identifiers

Local EPrints ID: 447528
URI: http://eprints.soton.ac.uk/id/eprint/447528
PURE UUID: 4d30fc22-189e-4a56-83e0-fec01c432fee
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302
ORCID for Nicola Knight: ORCID iD orcid.org/0000-0001-8286-3835

Catalogue record

Date deposited: 15 Mar 2021 17:37
Last modified: 25 Aug 2021 01:57

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Contributors

Author: Terhi Nurmikko-Fuller
Editor: Samantha Kanza ORCID iD
Editor: Jeremy G. Frey ORCID iD
Editor: Victoria Hooper
Editor: Nicola Knight ORCID iD

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