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Semantic Concept Discovery Over Event Databases
Published on Jul 10, 2018758 Views
In this paper, we study the problem of identifying certain types of concept (e.g., persons, organizations, topics) for a given analysis question with the goal of assisting a human analyst in writing a
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Chapter list
Semantic Concept Discovery Over Event Databases00:00
Use Case: Question Analysis00:15
Concept Discovery for Deep Analysis01:49
Event Databases - 105:08
Event Databases - 205:48
Event Databases - 306:38
Our Solution IBM Research ⏤ Semantic Technologies In Use06:58
Question Analysis: Current Prototype - 107:56
Question Analysis: Current Prototype - 208:15
Question Understanding08:24
Question Understanding: Context Details08:44
Concept Search & Ranking: Index-Based Method (co-occurrence) - 108:55
Concept Search & Ranking: Index-Based Method (co-occurrence) - 210:48
IBM Research(context) Analysis Details – Virtual Document Generation11:43
DeepSim (context) Analysis Details – Model Construction & Query Engine12:23
Deep Similarity Analysis (context): Using Semantic Similarity Analysis over GDELT GKG13:28
Swagger API behind DeepSim Analysis14:06
Evaluation: Methodology14:17
Evaluation: Results15:25
Example: Venezuela, Humanitarian Crisis16:33
Conclusion & Future Work17:19