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A Probabilistic Approach for Integrating Heterogeneous Knowledge Sources

Published on Jul 30, 20141958 Views

Arnab Dutta

Open Information Extraction (OIE) systems like Nell and ReVerb have achieved impressive results by harvesting massive amounts of machine-readable knowledge with minimal supervision. However, the know

ESWC 2014 - Crete

Related categories

Big DataSemantic Web

Chapter list

A Probabilistic Approach for Integrating Heterogeneous Knowledge Sources00:00
Which Superman exactly?00:09
Uncertainty in the Web00:57
Information Extraction (IE) Projects - 101:21
Information Extraction (IE) Projects - 202:06
Approach02:57
Approach: Baseline03:15
Approach: Baseline (contd.)04:05
Baseline drawbacks04:33
Approach: Probabilistic04:49
Big Picture05:18
Methodology06:10
I. Probabilistic Type Generation06:58
Tree Generation07:43
Node Scoring09:38
Tree Generation (α-tree)10:04
II. Formulate as a Markov Logic Network11:49
Grounding the Markov Network14:26
Can we still do better?16:06
Bootstrapping16:13
Bootstrapping in action16:21
Experiments18:01
Learning α18:14
Variation of scores with α 18:42
Comparative Values (α = 0.5)18:49
Limitations19:24
Looking ahead19:49
Thank You20:10