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Ontology Driven Extraction of Research Processes
Published on Nov 22, 20182548 Views
We address the automatic extraction from publications of two key concepts for representing research processes: the concept of research activity and the sequence relation between successive activities.
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Chapter list
Ontology Driven Extraction of Research Processes00:00
Consider the questions00:13
Answering these questions today00:36
Extracting reserch processes: Motivation01:02
Extracting reserch processes: Plan01:31
Scholarly ontology01:58
The task02:46
Information extraction: the dataset - 103:24
Information extraction: the dataset - 204:12
Entity Extraction: Initial results05:07
Entity Extraction: Problem description05:48
Entity Extraction: feature engineering06:59
smart features example: - 107:38
smart features example: - 207:46
smart features example: - 307:52
Entity Extraction: Methods used - 108:12
Entity Extraction: Methods used - 208:45
Entity Extraction: Methods used - 309:04
Entity Extraction: Method 5 - Pipeline - 109:27
Entity Extraction: Method 5 - Pipeline - 209:58
Entity Extraction: Method 5 - Pipeline - 310:09
Entity Extraction: Method 5 - Pipeline - 410:09
Evaluation: token based10:12
Evaluation: entity based10:59
Sequence relation extraction - 111:02
Sequence relation extraction - 211:06
Sequence relation extraction - 311:19
Sequence relation extraction: Methods used - 112:19
Sequence relation extraction: Methods used - 212:28
Sequence relation extraction: Evaluation12:31
Metadata association 12:49
extracting knowledge:13:12
extracting knowledge: identify textual chunks13:34
extracting knowledge: extract entities14:05
extracting knowledge: extract relations14:13
extracting knowledge: add metadata14:20
extracting knowledge: linking existing knowledge14:25
semantic paths through common Authors - 114:36
semantic paths through common Authors - 214:46
semantic paths through common Articles - 114:58
semantic paths through common Articles - 215:05
Thank you!15:16