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Full-text Support for Publish/Subscribe Ontology Systems
Published on Jul 28, 2016986 Views
We envision a publish/subscribe ontology system that is able to index millions of user subscriptions and filter them against ontology data that arrive in a streaming fashion. In this work, we propos
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Full-text Support for Publish/Subscribe Ontology Systems00:00
User Information Needs - 100:10
User Information Needs - 200:29
The Information Pull Paradigm - 100:45
The Information Pull Paradigm - 200:57
The Information Pull Paradigm - 301:16
The Information Pull Paradigm - 401:33
The Information Pull Paradigm - 501:49
The Information Pull Paradigm - 602:04
The Information Pull Paradigm - 702:17
The Information Pull Paradigm - 802:31
Ontology-based Publish/Subscribe04:27
Current State of the Art05:07
Applications05:47
Our Contribution (1/2)06:13
Our Contribution (2/2)07:26
SPARQL Query to Tuple Conjucts - 108:01
SPARQL Query to Tuple Conjucts - 208:16
SPARQL Query to Tuple Conjucts - 308:25
SPARQL Query to Tuple Conjucts - 408:30
SPARQL Query to Tuple Conjucts - 508:47
SPARQL Query to Tuple Conjucts - 608:50
SPARQL Query to Tuple Conjucts - 708:53
SPARQL Query to Tuple Conjucts - 808:58
SPARQL Query to Tuple Conjucts - 909:02
RTF Tree-based Indexing - 109:34
RTF Tree-based Indexing - 212:47
RTF Tree-based Indexing - 313:10
Publication Filtering13:22
Experimental Evaluation (1/2)13:51
Experimental Evaluation (2/2)14:22
Filtering Results14:41
More Filtering Results15:53
Insertion Results16:43
Conclusions17:20
Thank you for your attention!17:58