Full-text Support for Publish/Subscribe Ontology Systems
Information Retrieval
2013-07-09 v1 Databases
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.
Cite
@article{arxiv.1307.2015,
title = {Full-text Support for Publish/Subscribe Ontology Systems},
author = {Lefteris Zervakis and Christos Tryfonopoulos and Antonios Papadakis-Pesaresi and Manolis Koubarakis and Spiros Skiadopoulos},
journal= {arXiv preprint arXiv:1307.2015},
year = {2013}
}
Comments
ESWC 2012 Demo