Learning to Reason Knowledge Acquisition in Cyc

author:Michael Witbrock, Cycorp Europe
published: Feb. 7, 2008,   recorded: January 2008,   views: 246
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Slides

Slides
0:00 Learning to Reason: Knowledge Acquisition in Cyc
0:41 Overview
1:09 Expressivity
1:14 The Cyc Knowledge Base
2:54 Syntactic Power
3:55 For Inference: Senses of ‘In’
5:05 Senses of ‘In’
5:44 Concepts are densely related
6:23 in Cyc
7:20 Power
7:55 The Cyc Analytic Environment - 1
8:44 The Cyc Analytic Environment - 2
9:15 How is this done?
12:12 The Cyc Analytic Environment - 3
12:52 45th’s Space Wing Hurricane Preparedness
13:23 Performance: Subtheory: disjointWith
14:25 Inference is Fast & Trainable
15:05 You can get Cyc
17:15 Cycorp Corporate Mission
18:30 Manual Knowledge Entry
19:36 Cycorp Corporate Mission
21:10 Ambitious Approach: General Automated Interview - 2
21:44 Ambitious Approach: General Automated Interview - 1
21:58 Ambitious Approach: General Automated Interview - 2
22:04 Ambitious Approach: Analogical Reasoning
22:12 Ambitious Approach: Using Background Knowledge
22:31 Concept Refinement Interview
22:55 Ambition is Good but...
25:09 What can you do?
27:23 Example: Getting Knowledge in Context
30:03 Example: Use of Acquired Knowledge - 1
31:05 Example: Use of Acquired Knowledge - 2
31:27 Example: Use of Acquired Knowledge - 3
31:58 Example: Use of Acquired Knowledge - 4
32:56 Intelligent Search
34:10 Content adaptation: heart valve repair
34:34 Content adaptation: coronary artery
34:59 Facts and Rules (from 1998, 2003)
35:37 Some opportunities for ML
36:14 Document Tagging
36:51 Military Taxonomy
38:10 Knowledge-based disambiguation - 1
38:59 Disambiguation Rules: ‘Jet’
40:01 Knowledge-based disambiguation - 2
41:39 Knowledge Driven Disambiguation - 1
42:51 Rule Induction
43:06 The Induction Pipeline
43:43 Example - 1
44:45 Example - 2
46:15 Early Results
48:02 Sample Rules Produced
48:28 Situation Recognition
51:49 Example - 1
52:14 Example - 2
52:44 Example - 3
54:35 Example - 4
55:34 Other Approaches
56:11 Previous Results on Whodunit Task
56:41 Integrating Markov Logic
57:33 Early ML Experiments
58:06 Markov Logic Work
58:47 Getting Ground Facts
60:36 Second Life
61:40 Overview
61:55 - Questions

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