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Online Relation Alignment for Linked Datasets
Published on 2017-07-101142 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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Presentation
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