AI3SD Video: Semantic Web in Scientific Research – Possibilities & Practices
AI3SD Video: Semantic Web in Scientific Research – Possibilities & Practices
The use of semantic web technologies within scientific research has slowly gained momentum over the last twenty years. Researchers have realised that these technologies are key to dealing with large volumes of data, and that they enable better organisation of scientific documents and practices. However, we still have a long way to go before these technologies realise their true potential, and this is as much a human endeavour as a technological one. This talk will discuss the affordances of the semantic web, demonstrating where it can be used across the entire scientific research process; but it will also note some lessons learned throughout the last twenty years, and provide some recommendations for going forward in the future.
AI, AI3SD Event, Chemistry, Data Science, Datasets, Ontologies, OWL, RDF, Research Data Management, Semantic Web, Semantics, SPARQL
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
10 February 2021
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Kanza, Samantha
(2021)
AI3SD Video: Semantic Web in Scientific Research – Possibilities & Practices.
Frey, Jeremy G., Niranjan, Mahesan and Hooper, Victoria
(eds.)
AI3SD Winter Seminar Series, , Online.
18 Nov 2020 - 21 Apr 2021 .
(doi:10.5258/SOTON/P0078).
Record type:
Conference or Workshop Item
(Other)
Abstract
The use of semantic web technologies within scientific research has slowly gained momentum over the last twenty years. Researchers have realised that these technologies are key to dealing with large volumes of data, and that they enable better organisation of scientific documents and practices. However, we still have a long way to go before these technologies realise their true potential, and this is as much a human endeavour as a technological one. This talk will discuss the affordances of the semantic web, demonstrating where it can be used across the entire scientific research process; but it will also note some lessons learned throughout the last twenty years, and provide some recommendations for going forward in the future.
Video
AI3SD-Winter-Seminar-Series-SW-SamanthaKanza
- Version of Record
More information
Published date: 10 February 2021
Additional Information:
Samantha Kanza is an Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences.
Venue - Dates:
AI3SD Winter Seminar Series, , Online, 2020-11-18 - 2021-04-21
Keywords:
AI, AI3SD Event, Chemistry, Data Science, Datasets, Ontologies, OWL, RDF, Research Data Management, Semantic Web, Semantics, SPARQL
Identifiers
Local EPrints ID: 447788
URI: http://eprints.soton.ac.uk/id/eprint/447788
PURE UUID: e0fc9afc-6368-4a9e-8b30-aa8a93ceb6ac
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Date deposited: 22 Mar 2021 17:39
Last modified: 17 Mar 2024 03:51
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Contributors
Editor:
Mahesan Niranjan
Editor:
Victoria Hooper
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