Präsentation der Ideen, Motivation, und Architektur zum Urb

1. Urban Environment Monitor
Institute of Software Technology and Interactive Systems
Vienna University of Technology
Peter Wetz, Marcus Presich, Elmar Kiesling, A Min Tjoa
http://ldlab.ifs.tuwien.ac.at/

2. Semantic Stream Data
Intro
• How to obtain knowledge about the current environmental
state of a city? Combined? For Non-experts?
• Heterogeneous data sources
• Manual data collection
• Demand for real-time data
• Demand for (Linked) Open data
• Demand for continuous reasoning over data
• Need for Data harmonization / provide „tools“
/ provide sensor data

3. Semantic Stream Data
Intro / Goals
• Enable continuous reasoning over urban
environmental data
• Federate and aggregate different sensor
sources
• Context-based sensor discovery and querying
based on semantic enrichments (e.g. spatial or
temporal)
• Integrate static background knowledge
• Support decision making for city stakeholders

4. Semantic Stream Data
Approach
Input 1: Pollution data (air, water, ...)
Input 2: Weather data
Semantic Stream Processor
Which existing Data Integration
methods can be used to model
and accordingly process Envi-
ronmental Data to overcome
heterogeneity and allowing
integration, reusability and
explorability?
Research question 1:
How to facilitate the utilization
of real time data streams for the
user in a practical manner by
taking into account its highly
flexible nature?
Research question 2:
How to apply semantic data
stream processing to enable
stakeholders to infer new and
timely knowledge for
environmental urban use cases?
Research question 3:
Input 3: Traffic data
Input n
Different stream input
sources relevant to the
environment of cities ...
... will be fed into a
semantic stream
processing component ...
... and provided to city
stakeholders via the Linked
Widgets Platform for analysis
Stream Widget 1: Traffic detection
Stream Widget 2: Weather analysis
Stream Widget 3: Bathing spots
Stream Widget n

5. Semantic Stream Data
Architecture
1
2
3

6. Thank you very much for your
attention!
Contact:
Peter Wetz
Linked Data Lab
Institute of Software Technology and Interactive Systems
Vienna University of technology, Austria
http://ldlab.ifs.tuwien.ac.at
peter.wetz@tuwien.ac.at