PlanetData Winter School: Theory and Use, Ljubljana 2011

Reasoning with LarKC

author: Michael Witbrock, Cycorp Europe
published: Dec. 23, 2011, recorded: December 2011, views: 34

Slides

Slides
0:00	Reasoning with LarKC
0:39	Semantics Commercially Relevant - 1
1:29	Semantics Commercially Relevant - 2
1:51	Semantics Scientifically Relevant
2:24	Goals of LarKC
5:44	Overall approach of LarKC
7:44	What do we mean by ...
7:49	Goals of LarKC, and where we are
8:44	What Has Changed Since LarKC Started
12:25	The LarKC Platform Architecture 2.0
14:22	What does a workflow look like? - 1
15:35	What does a workflow look like? - 2
15:46	WP5: The LarKC Platform - 1
16:30	WP5: The LarKC Platform - 2
17:34	Outline
17:42	Final LarKC platform’s architecture
17:43	Overview - 1
18:31	Overview - 2
18:37	Overview - 3
20:02	User Domain: Plug-ins
20:44	User Domain: Workflows - 1
20:51	User Domain: Workflows - 2
20:57	Using Plug-in Registry to Create Workflow
21:18	User Domain: Workflows - 3
22:16	User Domain: Workflows - 4
22:27	Final Plug-in definition ontology - 1
22:29	Final Plug-in definition ontology - 2
22:33	Final Plug-in definition ontology - 3
22:42	Final Plug-in definition ontology - 4
22:53	Infrastructure - 1
23:03	Infrastructure - 2
23:58	Accuracy
24:49	User Domain: Applications - 1
26:32	User Domain: Applications - 2
27:01	User Domain: Applications - 3
27:02	Overview - 4
27:03	Platform Domain: Main Subsystems
27:05	Platform Domain: Management Interface
27:07	Platform Domain: Runtime Environment
27:10	Platform Domain: Data Layer
29:05	Supported Sets of Statements
29:25	Used Concepts in the Data Model
30:23	Different Implementations
30:25	Overview - 5
30:27	Resource Domain: Distributed Execution - 1
30:58	Resource Domain: Distributed Execution - 2
31:22	Resource Domain: Distributed Execution - 3
31:24	Resource Domain: Distributed Execution - 4
31:48	Resource Domain: Distributed Execution - 5
31:49	WP11: Instrumentation
33:40	Final Software Release
33:42	Released System: larkc.sourceforge.net
35:28	Documentation
35:37	Software Management System - 1
35:41	Software Management System - 2
35:47	User and Developer Support
35:50	User and Developer Support - 1
35:53	Summary of research and development activities
37:08	Research Topics
37:09	WP2: Retrieval and Selection
40:08	DualRDF: Spreading Activation over RDF
40:12	C-SPARQL: SPARQL for Continuous Querying
41:52	Stream Reasoning is Ubiquitous
42:01	WP3: Abstraction and Learning
43:22	WP4: MaRVIN Architecture
44:18	WP 4: Reasoning and Deciding - WebPIE - 1
45:02	WP 4: Reasoning and Deciding - WebPIE - 2
45:25	WP5: Parallelisation Patterns - 1
46:07	WP5: Parallelisation Patterns - 2
46:10	WP5: Platform Distributed Execution Support
46:11	WP6 - Urban Computing Use Case - 1
47:10	WP6 - Urban Computing Use Case - 2
47:16	Linking and Mapping Semantics for Early Clinical Development
48:38	The LarKC Platform is Powerful & Useful
49:28	LarKC is Real Technology
51:38	Dissemination: Publications
52:07	Dissemination: Events & Social Media
52:52	The Challenge - 1
54:47	The Challenge - 2
55:06	Innovation Adoption
60:16	Ready to Adopt
60:28	OpenPhacts - 1
60:40	OpenPhacts - 2
62:33	Cycorp (US) NLM Causal Pathways with LLD/Owlim - 1
62:39	Cycorp (US) NLM Causal Pathways with LLD/Owlim - 2
62:54	Future of LarKC - 1
63:01	Future of LarKC - 2
63:32	NSFC – Yi Zeng / WICI
64:17	Future Exploitation of WP7b
64:21	HLRS – CycEur - 1
64:55	HLRS – CycEur - 2
64:58	HLRS – CycEur - 3
65:13	Sheffield FP7-ICT-2011-SME_DCL
65:16	Cycorp FP7-ICT-2011-SME_DCL
65:19	VU ScienceWise
65:48	Stanford Protégé Collaboration
65:49	LarKC as a backend app server
65:51	Saltlux dissemination of Urban LarKC
66:34	LarKC for Cognitive Infrastructure
67:34	Committed to the Future of LarKC
69:09	How we’re planning to make LarKC thrive
69:11	LarKC Project to LarKC AI Platform
72:33	LarKC

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.

Lecture popularity: You need to login to cast your vote.

Description

The FP7 LarKC project, which was funded through to November 2011, is an ambitious effort to scale up and apply automated reasoning, of many forms, to internet-scale content. The project was largely successful, setting the state of the art, for example, in large scale knowledge curation and parallel inference. The project also produced a powerful open source software artifact, the LarKC platform, that can be used as a basis for knowledge based applications and research programs. In this talk I will motivate LarKC, describe the platform, and, now that the initial project is over, the process of transitioning LarKC to a sustainable future.