INSTANS: High-performance event processing with standard RDF and SPARQL

Mikko Rinne, Esko Nuutila, Seppo Törmä

    Research output: Contribution to journalConference articleScientificpeer-review

    14 Citations (Scopus)

    Abstract

    Smart environments require collaboration of multi-platform sensors operated by multiple parties. Proprietary event processing solutions lack interoperation flexibility, leading to overlapping functions that can waste hardware and communication resources. Our goal is to show the applicability of standard RDF and SPARQL - including SPARQL 1.1 Update - for complex event processing tasks. If found feasible, event processing would enjoy the benefits of semantic web technologies: cross-domain interoperability, flexible representation and query capabilities, interrelating disjoint vocabularies, reasoning over event content, and enriching events with linked data. To enable event processing with standard RDF/SPARQL we have created INSTANS, a high-performance Rete-based platform for continuous execution of interconnected SPARQL queries.

    Original languageEnglish
    Pages (from-to)101-104
    Number of pages4
    JournalCEUR Workshop Proceedings
    Volume914
    Publication statusPublished - 2012
    MoE publication typeA4 Article in a conference publication

    Keywords

    • Complex event processing
    • RDF
    • Rete
    • SPARQL

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