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arXiv · 1307.2015

Full-text Support for Publish/Subscribe Ontology Systems

Lefteris Zervakis·Christos Tryfonopoulos·Antonios Papadakis-Pesaresi·Manolis Koubarakis·Spiros Skiadopoulos
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Abstract

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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Lefteris Zervakis, Christos Tryfonopoulos, Antonios Papadakis-Pesaresi, Manolis Koubarakis, Spiros Skiadopoulos. 2013-07-08. Full-text Support for Publish/Subscribe Ontology Systems. https://arxiv.org/abs/1307.2015

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