From OntologPSMW
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== Agenda == | == Agenda == | ||
− | * | + | * Convening of session. It will begin with a short (15 minute) review of related work in network science, then it will split into working groups as on Monday and Tuesday. |
+ | * '''[[George Hurlburt|George Hurlburt]]''' ''Graphs: A Fundamental shift from Linear to non-linear'' [https://go.aws/3enAu2M Slides] | ||
+ | * Splitting into working groups with each group in its own Zoom room, wiki page and soaphub chat room as follows: | ||
+ | ** Room 1: [[OntologySummit2020/Whence|Whence]] - What brought the use of graphs in as persistence mechanisms. Will need to address other non-relational persistence mechanisms; historical background; this can include parts of 'why'. | ||
+ | *** [[OntologySummit2020/Whence|Whence wiki page]] | ||
+ | *** [https://bit.ly/3enEXCq Whence soaphub chat room] | ||
+ | ** Room 2: [[OntologySummit2020/CurrentState|Current State]] - How graph persistence mechanisms are being used. | ||
+ | *** [[OntologySummit2020/CurrentState|Current state wiki page]] | ||
+ | *** [https://bit.ly/2Ne70bA Current state soaphub chat room] | ||
+ | ** Room 3: [[OntologySummit2020/Problems|Problems]] - What the differences in the current uses are and what problems they may cause going forward. | ||
+ | *** [[OntologySummit2020/Problems|Problems wiki page]] | ||
+ | *** [https://bit.ly/3dp486i Problems soaphub chat room] | ||
+ | ** Room 4: [[OntologySummit2020/Whither|Whither]] - Our recommendation of how a the notion 'knowledge graph' should be defined; and how standards can help. This might lead to the next year's summit topic. | ||
+ | *** [[OntologySummit2020/Whither|Whither wiki page]] | ||
+ | *** [https://bit.ly/37MHFPs Whither soaphub chat room] | ||
== Conference Call Information == | == Conference Call Information == |
Latest revision as of 22:15, 21 June 2020
Session | Communiqué |
---|---|
Duration | 2 hours |
Date/Time | 24 June 2020 16:00 GMT |
9:00am PDT/12:00pm EDT | |
5:00pm BST/6:00pm CEST | |
Convener | KenBaclawski |
Contents |
Knowledge graphs, closely related to ontologies and semantic networks, have emerged in the last few years to be an important semantic technology and research area. As structured representations of semantic knowledge that are stored in a graph, KGs are lightweight versions of semantic networks that scale to massive datasets such as the entire World Wide Web. Industry has devoted a great deal of effort to the development of knowledge graphs, and they are now critical to the functions of intelligent virtual assistants such as Siri and Alexa. Some of the research communities where KGs are relevant are Ontologies, Big Data, Linked Data, Open Knowledge Network, Artificial Intelligence, Deep Learning, and many others.
    (2A)
- Convening of session. It will begin with a short (15 minute) review of related work in network science, then it will split into working groups as on Monday and Tuesday.     (2B1)
- George Hurlburt Graphs: A Fundamental shift from Linear to non-linear Slides     (2B2)
- Splitting into working groups with each group in its own Zoom room, wiki page and soaphub chat room as follows:     (2B3)
- Room 1: Whence - What brought the use of graphs in as persistence mechanisms. Will need to address other non-relational persistence mechanisms; historical background; this can include parts of 'why'.     (2B3A)
- Room 3: Problems - What the differences in the current uses are and what problems they may cause going forward.     (2B3C)
- Room 4: Whither - Our recommendation of how a the notion 'knowledge graph' should be defined; and how standards can help. This might lead to the next year's summit topic.     (2B3D)
- Date: Wednesday, 24 June 2020     (2C1)
- Start Time: 9:00am PDT / 12:00pm EDT / 6:00pm CEST / 5:00pm BST / 1600 UTC     (2C2)
- Expected Call Duration: 1 hour     (2C3)
- iPhone one-tap :     (2C4A)
- US: +16699006833,,689971575# or +16465588665,,689971575#     (2C4A1)
- Telephone:     (2C4B)
- Dial(for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 558 8665     (2C4B1)
- Meeting ID: 689 971 575     (2C4B2)
- If the chat room is not available, then use the Zoom chat room.     (2C5A)