|Session||Contexts in the Open Knowledge Network|
|Date/Time||Mar 28 2018 16:00 GMT|
|9:00am PDT/12:00pm EDT|
|5:00pm BST/6:00pm CST|
|Convener||RamSriram and GaryBergCross|
Ontology Summit 2018 Contexts in the Open Knowledge Network Session 2
This is the second session on contexts in the Open Knowledge Network. The Video Recording is available.
Short introduction by session co-champion, Gary Berg-Cross Slides
Our Speakers :
1. Vinh Nguyen (US National Library of Medicine/Kno.e.sis Center, Wright State University) CKG Portal: A Knowledge Publishing Proposal for the OKN (Slides)
Abstract: Contextualized Knowledge Graph (CKG) incorporates contexts into a knowledge graph by associating each fact of the knowledge graph with various contextual information such as time, location, provenance, and probability. In this talk, I will introduce our proposed model for contextualizing knowledge graphs and our community effort towards the research and development of the CKGs.
Bio: Vinh Nguyen just received her Ph.D. in Computer Science from Kno.e.sis Center, Wright State University. Her dissertation develops the Semantic Web foundations for representing and reasoning with Contextualized Knowledge Graphs. She is joining the National Library of Medicine (NLM/NIH) as a postdoctoral fellow and is working on publishing NLM data sources (e.g. MESH, Medline, etc.) to the CKG Portal. Vinh Nguyen website
Abstract: Contexts in Cyc, as in other formal conceptions, are a versatile mechanism for simplifying production and maintenance of ontology model content. Here we identify a set of formal features of context models which provide a conceptual solution to a current, hard systemic limit to expansion of the global information supply: production is now bounded by the volume of demand for inessential information, due to lack of any known and mature method to ensure production quality (completeness and correctness) of derivation products. We review a case in which context mechanisms are applied in ways and at a scale that show that the conceptual solution has a path to practical implementation.
Conference Call Information
- Date: Wednesday, 28-March-2018
- Start Time: 9:00am PDT / 12:00pm EDT / 6:00pm CST / 5:00pm BST / 1600 UTC
- Expected Call Duration: ~1.75 hours
- Video Conference URL: https://bluejeans.com/703588230
- If you have not used BlueJeans before, then connect to the URL above before the meeting time so that the required plug-in can be installed.
- Chatroom: http://webconf.soaphub.org/conf/room/ontology_summit_2018
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- You can indicate that you want to ask a question verbally by clicking on the "hand" button, and wait for the moderator to call on you; or, type and send your question into the chat window at the bottom of the screen.
- This session, like all other Ontolog events, is open to the public. Information relating to this session is shared on this wiki page.
- Please note that this session may be recorded, and if so, the audio archive is expected to be made available as open content, along with the proceedings of the call to our community membership and the public at-large under our prevailing open IPR policy.
- Alex Shkotin
- Amit Sheth
- Andrew Dougherty
- A Soroka
- Bobbin Teegarden
- Charles Klein
- Cory Casanave
- Dave Whitten
- David Eddy
- Dick McCullough
- Douglas R Miles
- Eric Scott
- Evan Wallace
- Frank Olken
- Gary Berg-Cross
- John Sowa
- Kalpa Gunaratna
- Ken Baclawski
- Manas Gaur
- Max Petrenko
- Mike Bennett
- Mike Denny
- Patrick Stingley
- Ram D. Sriram
- Ravi Sharma
- Rich Keller
- Saeedeh Shekarpour
- Terry Longstreth
- Thomas Loertsch
- Todd Schneider
- Vinh Nguyen
The (slightly edited) chat transcript is available at ConferenceCall_2018_03_28/Chat
Vinh Nguyen's work includes “Semantic Web foundation on representing, reasoning and traversing Contextual Knowledge Graphs” Premise - If we extract knowledge from places like the Web, especially the SemanticWeb, we need to know the context of that information. RDF triples about triples, or meta triples (e.g. such as the source, the occurring time or place, or the certainty) form the basis for a contextualized knowledge graph. But what is an efficient RDF representation for such meta-knowledge of these (contexualizing) triples?
Note: Vinh Nguyen has set up a Google Groups Contextualized Knowledge Graph Community Discussion Forum to continue this discussion. More information will be provided as part of the session.
There is also an OKN Infrastucture mail group being formed and more information on this will be provided by Gary Berg-Cross as part of the session as details become available.. Blog for Open Knowledge Network