-
Science and Technology Museum (disambiguation) | Wikipedia audio article
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Science_and_Technology_Museum
00:00:05 1 Asia
00:00:43 2 Europe
00:01:12 3 North America
00:01:42 4 South America
Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.
Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain
Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you cou...
published: 06 Jun 2019
-
National Museum of Science (disambiguation) | Wikipedia audio article
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/National_Museum_of_Science
Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.
Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain
Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone....
published: 06 Jun 2019
-
Wikipedia as the Front Matter to All Research - Improved Audio
published: 10 Dec 2015
-
Knowledge Graph Extraction from Unstructured Data and Semantic Role Labeling
Vivek Khetan, AI Researcher, Accenture Labs
For more details: https://www.meetup.com/SF-Bay-ACM/events/269168317/
ABSTRACT:
Maintaining regulatory compliance is challenging for a range of businesses due to the volume of regulations and the rapid rate of change. Given the sheer volume, it is difficult for an enterprise to maintain a clear picture of the state of regulations that govern them, or to stay abreast of the changes.
In contrast to expert analysis or the development of domain-specific ontology and taxonomies, this talk will discuss how a task-based approach for fulfilling specific information needs within a new domain can be helpful.
This presentation will discuss various techniques for knowledge graph extraction and completion, domain-specific schema creation, custom bi-LSTM-CR...
published: 28 Jul 2020
-
Wikipedia as the Front Matter to All Research
NOTE: There were some encoding issues with the audio early in the talk. Please follow the link below for the same talk with improved audio quality.
Improved audio: https://www.youtube.com/watch?v=8qO3BYDN67k&feature=youtu.be
A brown bag talk on scholarly citations on Wikipedia with Geoffrey Bilder (CrossRef) and Dario Taraborelli (Wikimedia Foundation).
published: 09 Dec 2015
-
6. Research with Wikimedia Commons
Sunoikisis Digital Classics, Fall 2020
Session 6. Research with Wikimedia Commons
Thursday Nov 12, 16:00 UK = 17:00 CET
Convenors: Monica Berti (Leipzig), Gabriel Bodard (University of London), Richard Nevell (Wikimedia UK)
This session will introduce the Wikimedia family of projects and tools, including Wikipedia, the Commons, Wikidata and Wikisource, and the connections between them that provide both data and research materials. We shall talk both about the value of these massive, accessible and open resources, and about some of the biases within the collection and authoring of data. We shall then discuss some examples of research projects using Wikimedia resources, either as raw data, as a toolset, or as the subject of research in its own right, with a particular interest in the use o...
published: 13 Nov 2020
-
2018 Alumni Awards Keynote: Mark Tebbe
Distinguished Alumnus Mark Tebbe (BS CS ’83) gives the 2018 Alumni Awards Keynote address. A Chicago thought-leader and entrepreneur, Tebbe founded both Lante Corporation (1983), which went public in 2000 and was sold in 2004, and Answers Corporation (2004), the company behind the answers.com website that would become one of the Web’s leading Q&A publishers. Answers was sold in 2011.
Tebbe has a long history as an angel investor, serving for a number of years as an executive with Lake Capital. He also has served as a board member of, among others, SBI Group, Accent Software, Divine Interventures, and OCTuS Software. Tebbe is now chairman of Chicago NEXT, World Business Chicago’s engine for driving growth in the city’s tech community.
published: 19 Oct 2018
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B (disambiguation)
B is the second letter of the Latin alphabet.
B may also refer to:
Source: https://en.wikipedia.org/wiki/B_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
published: 16 Apr 2022
-
'Transforming Text into Data to Extract Meaning & Make Connections - Kalyan Dutia & Jamie Unwin, SMG
'Transforming Text into Data to Extract Meaning & Make Connections’ - Kalyan Dutia & Jamie Unwin, Science Museum Group
Jamie Unwin, Technical Architect and Kalyan Dutia, Research Developer, discuss the digital tools they built as part of the Heritage Connector webinar held on 3rd December 2021.
Image Credit: Credit: Central Government War Head Quarters © Historic England DP024131
published: 08 Dec 2021
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Conal Tuohy - Oceania.digital – weaving DigitalNZ and Trove into the Linked Open Data web
Tuesday November 21, 2017 14:00 - 14:25
Rangimarie 1, Museum of New Zealand Te Papa Tongarewa
In this presentation I will explore the problem of how to facilitate and open up new uses for aggregated cultural metadata using Linked Data as an organising principle. The National Libraries of New Zealand and Australia, through their respective metadata aggregation services Digital NZ and Trove, are aggregating significant metadata collections from cultural heritage institutions in the two countries, and republishing them through web APIs which provide a search interface across their entire data aggregation. However, the utility of the aggregated datasets and their APIs is limited by their particular focus on the catalogue items themselves, at the expense of the contextual entities which relat...
published: 29 Nov 2017
2:00
Science and Technology Museum (disambiguation) | Wikipedia audio article
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Science_and_Technology_Museum
00:00:05 1 Asia
00:00:43 2 Europe
00:01:12 ...
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Science_and_Technology_Museum
00:00:05 1 Asia
00:00:43 2 Europe
00:01:12 3 North America
00:01:42 4 South America
Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.
Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain
Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.
Listen on Google Assistant through Extra Audio:
https://assistant.google.com/services/invoke/uid/0000001a130b3f91
Other Wikipedia audio articles at:
https://www.youtube.com/results?search_query=wikipedia+tts
Upload your own Wikipedia articles through:
https://github.com/nodef/wikipedia-tts
Speaking Rate: 0.7650817660506293
Voice name: en-GB-Wavenet-A
"I cannot teach anybody anything, I can only make them think."
- Socrates
SUMMARY
=======
Science and Technology Museum may refer to:
https://wn.com/Science_And_Technology_Museum_(Disambiguation)_|_Wikipedia_Audio_Article
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Science_and_Technology_Museum
00:00:05 1 Asia
00:00:43 2 Europe
00:01:12 3 North America
00:01:42 4 South America
Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.
Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain
Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.
Listen on Google Assistant through Extra Audio:
https://assistant.google.com/services/invoke/uid/0000001a130b3f91
Other Wikipedia audio articles at:
https://www.youtube.com/results?search_query=wikipedia+tts
Upload your own Wikipedia articles through:
https://github.com/nodef/wikipedia-tts
Speaking Rate: 0.7650817660506293
Voice name: en-GB-Wavenet-A
"I cannot teach anybody anything, I can only make them think."
- Socrates
SUMMARY
=======
Science and Technology Museum may refer to:
- published: 06 Jun 2019
- views: 1
0:40
National Museum of Science (disambiguation) | Wikipedia audio article
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/National_Museum_of_Science
Listening is a more natural way of learn...
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/National_Museum_of_Science
Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.
Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain
Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.
Listen on Google Assistant through Extra Audio:
https://assistant.google.com/services/invoke/uid/0000001a130b3f91
Other Wikipedia audio articles at:
https://www.youtube.com/results?search_query=wikipedia+tts
Upload your own Wikipedia articles through:
https://github.com/nodef/wikipedia-tts
Speaking Rate: 0.8245350349137703
Voice name: en-US-Wavenet-B
"I cannot teach anybody anything, I can only make them think."
- Socrates
SUMMARY
=======
National Museum of Science may refer to
Science Museum (London)
National Science Museum of Japan
National Science Museum, South Korea
Israel National Museum of Science, Technology, and SpaceThe National Museum of Science and Technology may refer to:
Canada Science and Technology Museum in Ottawa, Ontario, Canada
Swedish National Museum of Science and Technology in Stockholm, Sweden
https://wn.com/National_Museum_Of_Science_(Disambiguation)_|_Wikipedia_Audio_Article
This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/National_Museum_of_Science
Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.
Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain
Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.
Listen on Google Assistant through Extra Audio:
https://assistant.google.com/services/invoke/uid/0000001a130b3f91
Other Wikipedia audio articles at:
https://www.youtube.com/results?search_query=wikipedia+tts
Upload your own Wikipedia articles through:
https://github.com/nodef/wikipedia-tts
Speaking Rate: 0.8245350349137703
Voice name: en-US-Wavenet-B
"I cannot teach anybody anything, I can only make them think."
- Socrates
SUMMARY
=======
National Museum of Science may refer to
Science Museum (London)
National Science Museum of Japan
National Science Museum, South Korea
Israel National Museum of Science, Technology, and SpaceThe National Museum of Science and Technology may refer to:
Canada Science and Technology Museum in Ottawa, Ontario, Canada
Swedish National Museum of Science and Technology in Stockholm, Sweden
- published: 06 Jun 2019
- views: 2
56:08
Knowledge Graph Extraction from Unstructured Data and Semantic Role Labeling
Vivek Khetan, AI Researcher, Accenture Labs
For more details: https://www.meetup.com/SF-Bay-ACM/events/269168317/
ABSTRACT:
Maintaining regulatory compliance i...
Vivek Khetan, AI Researcher, Accenture Labs
For more details: https://www.meetup.com/SF-Bay-ACM/events/269168317/
ABSTRACT:
Maintaining regulatory compliance is challenging for a range of businesses due to the volume of regulations and the rapid rate of change. Given the sheer volume, it is difficult for an enterprise to maintain a clear picture of the state of regulations that govern them, or to stay abreast of the changes.
In contrast to expert analysis or the development of domain-specific ontology and taxonomies, this talk will discuss how a task-based approach for fulfilling specific information needs within a new domain can be helpful.
This presentation will discuss various techniques for knowledge graph extraction and completion, domain-specific schema creation, custom bi-LSTM-CRF model for entity extractors and attention-based deep Semantic Role Labeling. We will walk through each of these algorithms in detail and their need for a specific use case.
SPEAKER BIO:
Vivek Khetan is an artificial intelligence researcher at Accenture Labs, San Francisco. He is currently focusing on semantic role labelling, entity, and relationship extraction, close, and open-domain knowledge graph creation. He has scholarly work published in the ECIR and Information Retrieval Journal. Currently, he is working on “Common Sense Reasoning” and also organizing the Knowledge Graph for Social Good (KGSK) workshop in collaboration with the United Nations. The KGSG workshop will be part of the Knowledge Graph Conference happening at Columbia University.
In previous roles, he has worked as a dialogue system researcher at SparkCognition. He has experience in the application of diverse machine learning methods, including information retrieval, survival analysis, and anomaly detection.
Vivek has a master's degree from the University of Texas at Austin, with a specialization in Data Mining and Machine Learning and a bachelor's degree from the Indian Institute of Technology (IIT), Dhanbad, India. In his leisure time, Vivek likes to read novels, go for a hike, and explore SF coffee place. See also: https://www.linkedin.com/in/vivekkhetan/
#KnowledgeGraphExtraction #UnstructuredData #SemanticRoleLabeling
https://wn.com/Knowledge_Graph_Extraction_From_Unstructured_Data_And_Semantic_Role_Labeling
Vivek Khetan, AI Researcher, Accenture Labs
For more details: https://www.meetup.com/SF-Bay-ACM/events/269168317/
ABSTRACT:
Maintaining regulatory compliance is challenging for a range of businesses due to the volume of regulations and the rapid rate of change. Given the sheer volume, it is difficult for an enterprise to maintain a clear picture of the state of regulations that govern them, or to stay abreast of the changes.
In contrast to expert analysis or the development of domain-specific ontology and taxonomies, this talk will discuss how a task-based approach for fulfilling specific information needs within a new domain can be helpful.
This presentation will discuss various techniques for knowledge graph extraction and completion, domain-specific schema creation, custom bi-LSTM-CRF model for entity extractors and attention-based deep Semantic Role Labeling. We will walk through each of these algorithms in detail and their need for a specific use case.
SPEAKER BIO:
Vivek Khetan is an artificial intelligence researcher at Accenture Labs, San Francisco. He is currently focusing on semantic role labelling, entity, and relationship extraction, close, and open-domain knowledge graph creation. He has scholarly work published in the ECIR and Information Retrieval Journal. Currently, he is working on “Common Sense Reasoning” and also organizing the Knowledge Graph for Social Good (KGSK) workshop in collaboration with the United Nations. The KGSG workshop will be part of the Knowledge Graph Conference happening at Columbia University.
In previous roles, he has worked as a dialogue system researcher at SparkCognition. He has experience in the application of diverse machine learning methods, including information retrieval, survival analysis, and anomaly detection.
Vivek has a master's degree from the University of Texas at Austin, with a specialization in Data Mining and Machine Learning and a bachelor's degree from the Indian Institute of Technology (IIT), Dhanbad, India. In his leisure time, Vivek likes to read novels, go for a hike, and explore SF coffee place. See also: https://www.linkedin.com/in/vivekkhetan/
#KnowledgeGraphExtraction #UnstructuredData #SemanticRoleLabeling
- published: 28 Jul 2020
- views: 2372
1:05:41
Wikipedia as the Front Matter to All Research
NOTE: There were some encoding issues with the audio early in the talk. Please follow the link below for the same talk with improved audio quality.
Improved au...
NOTE: There were some encoding issues with the audio early in the talk. Please follow the link below for the same talk with improved audio quality.
Improved audio: https://www.youtube.com/watch?v=8qO3BYDN67k&feature=youtu.be
A brown bag talk on scholarly citations on Wikipedia with Geoffrey Bilder (CrossRef) and Dario Taraborelli (Wikimedia Foundation).
https://wn.com/Wikipedia_As_The_Front_Matter_To_All_Research
NOTE: There were some encoding issues with the audio early in the talk. Please follow the link below for the same talk with improved audio quality.
Improved audio: https://www.youtube.com/watch?v=8qO3BYDN67k&feature=youtu.be
A brown bag talk on scholarly citations on Wikipedia with Geoffrey Bilder (CrossRef) and Dario Taraborelli (Wikimedia Foundation).
- published: 09 Dec 2015
- views: 371
1:20:27
6. Research with Wikimedia Commons
Sunoikisis Digital Classics, Fall 2020
Session 6. Research with Wikimedia Commons
Thursday Nov 12, 16:00 UK = 17:00 CET
Convenors: Monica Berti (Leipzig), Gabr...
Sunoikisis Digital Classics, Fall 2020
Session 6. Research with Wikimedia Commons
Thursday Nov 12, 16:00 UK = 17:00 CET
Convenors: Monica Berti (Leipzig), Gabriel Bodard (University of London), Richard Nevell (Wikimedia UK)
This session will introduce the Wikimedia family of projects and tools, including Wikipedia, the Commons, Wikidata and Wikisource, and the connections between them that provide both data and research materials. We shall talk both about the value of these massive, accessible and open resources, and about some of the biases within the collection and authoring of data. We shall then discuss some examples of research projects using Wikimedia resources, either as raw data, as a toolset, or as the subject of research in its own right, with a particular interest in the use of Linked Open Data to connect between WM projects and other resources in the digital classics and digital humanities spheres.
Readings and exercise will be found on the session page at https://github.com/SunoikisisDC/SunoikisisDC-2020-2021/wiki/6-Wikimedia-Commons
https://wn.com/6._Research_With_Wikimedia_Commons
Sunoikisis Digital Classics, Fall 2020
Session 6. Research with Wikimedia Commons
Thursday Nov 12, 16:00 UK = 17:00 CET
Convenors: Monica Berti (Leipzig), Gabriel Bodard (University of London), Richard Nevell (Wikimedia UK)
This session will introduce the Wikimedia family of projects and tools, including Wikipedia, the Commons, Wikidata and Wikisource, and the connections between them that provide both data and research materials. We shall talk both about the value of these massive, accessible and open resources, and about some of the biases within the collection and authoring of data. We shall then discuss some examples of research projects using Wikimedia resources, either as raw data, as a toolset, or as the subject of research in its own right, with a particular interest in the use of Linked Open Data to connect between WM projects and other resources in the digital classics and digital humanities spheres.
Readings and exercise will be found on the session page at https://github.com/SunoikisisDC/SunoikisisDC-2020-2021/wiki/6-Wikimedia-Commons
- published: 13 Nov 2020
- views: 212
1:02:25
2018 Alumni Awards Keynote: Mark Tebbe
Distinguished Alumnus Mark Tebbe (BS CS ’83) gives the 2018 Alumni Awards Keynote address. A Chicago thought-leader and entrepreneur, Tebbe founded both Lante C...
Distinguished Alumnus Mark Tebbe (BS CS ’83) gives the 2018 Alumni Awards Keynote address. A Chicago thought-leader and entrepreneur, Tebbe founded both Lante Corporation (1983), which went public in 2000 and was sold in 2004, and Answers Corporation (2004), the company behind the answers.com website that would become one of the Web’s leading Q&A publishers. Answers was sold in 2011.
Tebbe has a long history as an angel investor, serving for a number of years as an executive with Lake Capital. He also has served as a board member of, among others, SBI Group, Accent Software, Divine Interventures, and OCTuS Software. Tebbe is now chairman of Chicago NEXT, World Business Chicago’s engine for driving growth in the city’s tech community.
https://wn.com/2018_Alumni_Awards_Keynote_Mark_Tebbe
Distinguished Alumnus Mark Tebbe (BS CS ’83) gives the 2018 Alumni Awards Keynote address. A Chicago thought-leader and entrepreneur, Tebbe founded both Lante Corporation (1983), which went public in 2000 and was sold in 2004, and Answers Corporation (2004), the company behind the answers.com website that would become one of the Web’s leading Q&A publishers. Answers was sold in 2011.
Tebbe has a long history as an angel investor, serving for a number of years as an executive with Lake Capital. He also has served as a board member of, among others, SBI Group, Accent Software, Divine Interventures, and OCTuS Software. Tebbe is now chairman of Chicago NEXT, World Business Chicago’s engine for driving growth in the city’s tech community.
- published: 19 Oct 2018
- views: 177
7:48
B (disambiguation)
B is the second letter of the Latin alphabet.
B may also refer to:
Source: https://en.wikipedia.org/wiki/B_(disambiguation)
Created with WikipediaReaderReborn ...
B is the second letter of the Latin alphabet.
B may also refer to:
Source: https://en.wikipedia.org/wiki/B_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
https://wn.com/B_(Disambiguation)
B is the second letter of the Latin alphabet.
B may also refer to:
Source: https://en.wikipedia.org/wiki/B_(disambiguation)
Created with WikipediaReaderReborn (c) WikipediaReader
- published: 16 Apr 2022
- views: 3
48:38
'Transforming Text into Data to Extract Meaning & Make Connections - Kalyan Dutia & Jamie Unwin, SMG
'Transforming Text into Data to Extract Meaning & Make Connections’ - Kalyan Dutia & Jamie Unwin, Science Museum Group
Jamie Unwin, Technical Architect and Kal...
'Transforming Text into Data to Extract Meaning & Make Connections’ - Kalyan Dutia & Jamie Unwin, Science Museum Group
Jamie Unwin, Technical Architect and Kalyan Dutia, Research Developer, discuss the digital tools they built as part of the Heritage Connector webinar held on 3rd December 2021.
Image Credit: Credit: Central Government War Head Quarters © Historic England DP024131
https://wn.com/'Transforming_Text_Into_Data_To_Extract_Meaning_Make_Connections_Kalyan_Dutia_Jamie_Unwin,_Smg
'Transforming Text into Data to Extract Meaning & Make Connections’ - Kalyan Dutia & Jamie Unwin, Science Museum Group
Jamie Unwin, Technical Architect and Kalyan Dutia, Research Developer, discuss the digital tools they built as part of the Heritage Connector webinar held on 3rd December 2021.
Image Credit: Credit: Central Government War Head Quarters © Historic England DP024131
- published: 08 Dec 2021
- views: 161
24:53
Conal Tuohy - Oceania.digital – weaving DigitalNZ and Trove into the Linked Open Data web
Tuesday November 21, 2017 14:00 - 14:25
Rangimarie 1, Museum of New Zealand Te Papa Tongarewa
In this presentation I will explore the problem of how to facili...
Tuesday November 21, 2017 14:00 - 14:25
Rangimarie 1, Museum of New Zealand Te Papa Tongarewa
In this presentation I will explore the problem of how to facilitate and open up new uses for aggregated cultural metadata using Linked Data as an organising principle. The National Libraries of New Zealand and Australia, through their respective metadata aggregation services Digital NZ and Trove, are aggregating significant metadata collections from cultural heritage institutions in the two countries, and republishing them through web APIs which provide a search interface across their entire data aggregation. However, the utility of the aggregated datasets and their APIs is limited by their particular focus on the catalogue items themselves, at the expense of the contextual entities which relate to those items: people, places, things, and ideas, which are treated as secondary. I am developing Oceania.digital, a cloud based service for re-publishing NZ and Australian cultural heritage data as Linked Open Data. In this presentation I will use Oceania.digital to show how repackaging the aggregated metadata as Linked Data can facilitate reuse by web developers and end users, and enable new methods and approaches to online engagement with the dataset. Crucially, these new approaches allow the data to be interrogated from different perspectives, and to be richly interlinked with data and narratives from other sources, as part of the growing global web of Linked Open Data. This presentation will be of interest to collection managers and technologists in GLAMS, as well as humanities researchers and cultural creators seeking new kinds of access to collections data.
Conal Tuohy Edit Profile
Independent software developer
Brisbane, Australia
conaltuohy.com/
I am an independent software developer and consultant, originally from NZ, but now based in Brisbane, Australia. I help digital humanities researchers and people in the cultural sector to unlock the value in their collection metadata or transcriptions and make them fit for new purposes, by automating conversion and enhancement, analysis, and visualisation. I provide advice and technical expertise, training, software development, and cloud-based hosting. Recent clients include the National Library of Australia, Public Record Office Victoria, Australian Policy Online, University of Melbourne, University of Sydney, and University of Arizona.
https://wn.com/Conal_Tuohy_Oceania.Digital_–_Weaving_Digitalnz_And_Trove_Into_The_Linked_Open_Data_Web
Tuesday November 21, 2017 14:00 - 14:25
Rangimarie 1, Museum of New Zealand Te Papa Tongarewa
In this presentation I will explore the problem of how to facilitate and open up new uses for aggregated cultural metadata using Linked Data as an organising principle. The National Libraries of New Zealand and Australia, through their respective metadata aggregation services Digital NZ and Trove, are aggregating significant metadata collections from cultural heritage institutions in the two countries, and republishing them through web APIs which provide a search interface across their entire data aggregation. However, the utility of the aggregated datasets and their APIs is limited by their particular focus on the catalogue items themselves, at the expense of the contextual entities which relate to those items: people, places, things, and ideas, which are treated as secondary. I am developing Oceania.digital, a cloud based service for re-publishing NZ and Australian cultural heritage data as Linked Open Data. In this presentation I will use Oceania.digital to show how repackaging the aggregated metadata as Linked Data can facilitate reuse by web developers and end users, and enable new methods and approaches to online engagement with the dataset. Crucially, these new approaches allow the data to be interrogated from different perspectives, and to be richly interlinked with data and narratives from other sources, as part of the growing global web of Linked Open Data. This presentation will be of interest to collection managers and technologists in GLAMS, as well as humanities researchers and cultural creators seeking new kinds of access to collections data.
Conal Tuohy Edit Profile
Independent software developer
Brisbane, Australia
conaltuohy.com/
I am an independent software developer and consultant, originally from NZ, but now based in Brisbane, Australia. I help digital humanities researchers and people in the cultural sector to unlock the value in their collection metadata or transcriptions and make them fit for new purposes, by automating conversion and enhancement, analysis, and visualisation. I provide advice and technical expertise, training, software development, and cloud-based hosting. Recent clients include the National Library of Australia, Public Record Office Victoria, Australian Policy Online, University of Melbourne, University of Sydney, and University of Arizona.
- published: 29 Nov 2017
- views: 167