Full-text Support for Publish/Subscribe Ontology Systems

author: Lefteris Zervakis, University of Peloponnese
published: July 28, 2016,   recorded: June 2016,   views: 5
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Description

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 propose a SPARQL extension appropriate for a publish/subscribe setting; our extension builds on the natural semantic graph matching of the language and supports the creation of full-text subscriptions. Subsequently, we propose a main-memory subscription indexing algorithm which performs both semantic and full-text matching at low complexity and minimal filtering time. Thus, when ontology data are published matching subscriptions are identified and notifications are forwarded to users.

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Download slides icon Download slides: eswc2016_zervakis_ontology_systems_01.pdf (1.4┬áMB)


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