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Online Relation Alignment for Linked Datasets
Published on Jul 10, 20171134 Views
The large number of linked datasets in the Web, and their diversity in terms of schema representation has led to a fragmented dataset landscape. Querying and addressing information needs that span acr
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Chapter list
Online Relation Alignment for Linked Datasets00:00
Motivation I00:32
Motivation II01:42
Motivation III02:49
Mining Alignments: State-of-the Art03:25
Objective: Relation Alignment for Linked Datasets04:05
Approach: Online Relation Alignment04:23
Overview – SORAL Architecture05:26
Overview – SORAL Architecture - 105:39
SORAL: Candidates Generation05:46
SORAL: Candidates Generation - 105:55
SORAL: Candidates Generation - 206:02
SORAL: Candidates Generation - 306:13
SORAL: Candidates Generation - 406:24
SORAL: Efficiency Issues06:34
SORAL: Supervised Model08:57
Features – ILP: CWA09:55
Features – ILP: CWA - 110:22
Features – ILP: PCA 10:50
Features – ILP: PCA - 111:13
Features – Relation Functionality11:28
Features - ILP: PIA12:26
Features – GS: Type similarity13:02
Features – GS: Type dissimilarity13:35
Experimental Setup14:13
Evaluation Results: Performance15:52
Evaluation Results: Performance - 116:56
Evaluation Results: Efficiency17:45
Conclusions18:27
Questions19:14
Untitled20:46
Owl:SameAs links20:47