Event detection using ontologies CSIRO LAND AND WATER Jonathan Yu 13 Feb 2013

Real-time sensor stream data processing High level entry for an end user e.g. Scientists and managers Knowledge hidden behind code or implicit in peoples heads Possible barrier for reusability Event detection using ontologies 2 | CurationCoding Analysis, Monitoring, Management Sensor Middleware Sensor Network End users Programmers

Event detection using ontologies 3 | Ontology-driven event detection system 1. Composes CE Sensor Network Ontology-enabled User Interface Semantic Mediator GSN VSensors Ontologies SSN Ontology Domain Ontology 7.Updates UI with alert 3. Deploys CE to GSN as VSensor via translation capture rule to Vsensor mapping capture sensor / data sources mappings 6. Matching event alert generated 2. Submits CE definition captures alerts captures CE definition 8. Views alert 5. Sensor streams data Users Reasoner

Event detection using ontologies 4 |

Current work – Urban Water Data Analytics Prototyping event detection algorithms Sewer rising mains pipe burst detection – flow, pump pressure Simple Moving Average, Exceeded thresholds, Breakpoint analysis (Irina) Event detection using ontologies 5 |

Chaffey Dam affected by algal blooms Need for understanding why algal blooms happen Historical data analysis Various bloom hypotheses Improved process for monitoring and managing the risk of algal blooms Exploring what is happening, what are the trends Data sifting Lots of effort and time spent in curating the data – field trips, modelling, consolidating disparate datasets, bringing data up to scratch so that they are analysable Semantics-based approach for defining complex event rules for algal bloom detection | Jonathan Yu 6 | Photo credit: Brad Sherman

Extension idea - fusing real-time data with domain knowledge Event detection using ontologies 7 | Knowledge Base Sensor Network Real-time data Event of Interest Query knowledge base (domain knowledge) Notifications