Event Processing Using Semantic Web Technologies

Mikko Rinne

Research output: ThesisDoctoral ThesisCollection of Articles

Abstract

The massive increase in the availability of event information originating from networked sensors and transactions has lead to a situation, where fast stream processing of large quantities of data is becoming a critical competitive advantage for a wide variety of domains in both business and life in general such as retail, investment market, farming, emergency response and health services. The increasing need to fuse data streams from a variety of sources emphasises the importance of managing heterogeneous ontological approaches. The founding principle of complex event processing is to abstract simple lower-level measurements and observations into more tangible higher-level conclusions, typically smaller in number and therefore easier to archive, present to a human reader or provide as input to the next processing layer. In this study methods for layered processing of event patterns using Semantic Web technologies have been developed. SPARQL Query and Update constructs have been used to build query networks, capable of functioning as event processing applications without extensions to the original syntax of the language. By means of a new ontology design pattern representations for, e.g., composite and complex events have been constructed. Examples of all the different types of event processing agents found in literature have been implemented and tested for performance on a platform developed for this study. The approach has been tested also with a practical application related to pharmaceutical manufacturing. The same application has been implemented on an event processing platform from outside the Semantic Web domain for a performance comparison. Entailment regimes for rule-based reasoning have been built using query networks similar to the ones used for building applications, making it easier for an application developer to improve efficiency through customisation and optimisation of the sets of rules. Good compliance of the implemented regimes has been tested using the official test set. Based on the experiences proposals for future versions of SPARQL to better support event processing applications are made. The program code, query networks, test data and the related documentation are made available with an open license to support independent verifications of the tests and further development of the code and query networks. Based on the implemented query networks and tests it is shown that RDF and SPARQL offer sufficient capabilities to function as the basis of layered complex event processing applications.
Translated title of the contributionTapahtumankäsittely semanttisen webin teknologioita käyttäen
Original languageEnglish
QualificationDoctor's degree
Awarding Institution
  • Aalto University
Supervisors/Advisors
  • Saikkonen, Heikki, Supervising Professor
  • Törmä, Seppo, Thesis Advisor
  • Nuutila, Esko, Thesis Advisor
Publisher
Print ISBNs978-952-60-7510-5
Electronic ISBNs978-952-60-7509-9
Publication statusPublished - 2017
MoE publication typeG5 Doctoral dissertation (article)

Keywords

  • complex event processing
  • data stream processing
  • SPARQL
  • RDF
  • semantic web

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