FAW
Inst. für Anwendungsorientierte Wissensverarbeitung
Earthquake Engineering
Workshop in
eScience
Applications for Seismology
March 7
-
9 2011, Edinburgh
On finding Links between
Information Systems
and Knowledge
Based Systems
in Civil Engineering
and Seismology / Earthquake
Engineering
a.Univ.
-
Prof. Dr. Josef Küng
2
Facts and Figures
FAW
About the Institute
History
-
1990 founded as a research institute
-
1991 first year in
Hagenberg
-
1997 regularly institute of JKU
-
2005 foundation of FAW
-
GmbH
-
2005 EU
-
FP6
-
Project SAFEPIPES
-
2008 EU
-
FP7
-
Project IRIS
-
2010 EU
-
FP7
-
Project NERA
Team
(FAW
-
Institut
)
-
currently 15 persons in research and development
R&D
-
more than 100 successful finished projects and co
-
operations
-
among others currently we are coordinating (together with Dr. Wenzel, VCE)
the large EU
-
FP7 project IRIS (Integrated European Industrial Risk Reduction System)
(c) FAW
–
Johannes Kepler Universität
|
Information and Knowledge
3
Information
FAW
Current Research Domains
Information Modeling
Adaptive modeling tool
Modeling dynamic aspects of processes
Information
-
Integration
Semantic data integration (in the grid)
Datawarehouses
Loading Processes (e.g. automatic regression tests)
Information
-
Extraction
Intelligent (semantic and rule based) extraction
of structured information out of unstructured web pages
(c) FAW
–
Johannes Kepler Universität
|
4
Knowledge
Semantic Technologies, Ontologies
Using Topic Maps and Ontologies to support
queries and decisions
Ontology Enineering
Case Based Reasoning
Similarity queries in Case Based Reasoning
Application of Case Based Reasoning
Structural Health Monitoring
Application of Case Based Reasoning
in passive and active Decision Support
(c) FAW
–
Johannes Kepler Universität
|
FAW
Current Research Domains
5
our famous example: tiscover
[1]
FAW
Past Research Work
Introduction
Web Based Destination
-
Management
-
System
Access to complete and up
-
to
-
date information about Tourism Holiday Destinations
Booking Functions
System Provider:
Tiscover
AG Innsbruck
Development:
FAW
-
Hagenberg
Tiscover
AG
Hagenberg
(c) FAW
–
Johannes Kepler Universität
|
6
our famous example: tiscover
[2]
FAW
Past Research Work
tiscover is more than a web page
(c) FAW
–
Johannes Kepler Universität
|
Public Terminal
(
AccessPoint
)
Reservation
&
CallCenter
Customized
Booking Engine
Internet
home/office
7
ad Information: AMMI
[1]
Meta Modeling Tool
(
A
daptive
M
odeling tool for
M
eta models and it
I
nstances)
(c) FAW
–
Johannes Kepler Universität
|
FAW
Current Research Work
8
ad Information: AMMI
[2]
Instance Modeling View
(c) FAW
–
Johannes Kepler Universität
|
FAW
Current Research Work
9
ad Information: AMMI
[3]
Administration Module
(c) FAW
–
Johannes Kepler Universität
|
FAW
Current Research Work
10
ad Knowledge: EU
-
Project IRIS
[1]
FAW
Current Research Work
Introduction
IRIS
–
Integrated European Industrial Risk Reduction System
–
Oct. 2008
–
Mar 2012, about 40 Partners, mainly form civil engineering domain,
4 partners from IT
-
Domain, one associated partner form Japan (University of Tokyo ) and US (Drexel University,
Stanford University)
Motivation
–
Within Current practices in risk assessment and management for industrial systems are characterized by its
methodical diversity and fragmented approaches. Integration is needed.
–
The large collaborative project IRIS is proposed to identify, quantify and mitigate existing and emerging risks to create
societal cost
-
benefits, to increase industrial safety and to reduce impact on human health and environment.
Basic Concept
–
The basic concept is to focus on diverse industrial sector’s main safety problems as well as to transform its specific
requirements into integrated and knowledge
-
based safety technologies, standards and services.
WP7: Monitoring, Assessment, Early Warning, Decision Support
–
FAW has its main task in this work package
–
setting up the decision support system.
(c) FAW
–
Johannes Kepler Universität
|
11
ad Knowledge: EU
-
Project IRIS
[2]
FAW
Current Research Work
(c) FAW
–
Johannes Kepler Universität
|
General
Structure
12
Overall Goal
–
Find the early warning point
(c) FAW
–
Johannes Kepler Universität
|
ad Knowledge: EU
-
Project IRIS
[2]
FAW
Current Research Work
13
Decision Support System
Passive Decision Support
–
Providing the right information at the right time to the decision maker
in order to support him/her.
(i.e. via Data Warehouses or via good organized (good accessible/searchable) document bases
Active Decision Support
–
A system, that uses some AI (Artificial Intelligence) methods
to elaborate a proposal to the decision maker or to do a decision autonomously.
(data mining, neural networks, support vector machines, decision trees, case based reasoning, ... )
-
> Within IRIS we work in both directions
–
Active Decision Support
-
> Case Based Reasoning
–
Passive Decision Support
-
> Semantic Networks
(c) FAW
–
Johannes Kepler Universität
|
ad Knowledge: EU
-
Project IRIS
[3]
FAW
Current Research Work
14
Active Decision Support System
Case
-
based Decision Support
(Example: Assessment of Simple Structures (Lamp Posts)
Data
–
Design (Type, Height, Material, ... )
–
Measurement (Set of selected eigenfrequencies ,
vibration measured after a stimulation)
–
Visual Inspection (Condition of post and stand,
Scratches, oxidation, condition of concrete)
Task
–
Classification of lamp post’s condition
(c) FAW
–
Johannes Kepler Universität
|
FAW
Current Research Work
ad Knowledge: EU
-
Project IRIS
[4]
15
Active Decision Support System
Results
–
Currently case base consists of 800 measurements of different lamp posts
–
Above 90% “correct” classifications
–
Improvement of results:
•
End
-
user can adjust parameters (attribute weights, predefined distances)
–
results are improving
•
Identify and exclude “unrepresentative cases” (where connection (parameter values
classification result) is
irreproducible)
•
In some ways the inspection process could be adapted (e.g. less “free
-
text” attributes)
In contrast to complex structures like e.g. bridges, an automated assessment of more
simple structures, as lamp posts are, looks very promising
(c) FAW
–
Johannes Kepler Universität
|
FAW
Current Research Work
ad Knowledge: EU
-
Project IRIS
[5]
16
Passive Decision Support System
Combining Semantic Nets and Search Engines
[1]
(Example: VCDECIS)
–
This system builds a
basic level of a wide scoped
passive Decision Support System
–
Organization/management
of an institution‘s content (documents)
to enable easier retrieval of knowledge
(c) FAW
–
Johannes Kepler Universität
|
FAW
Current Research Work
ad Knowledge: EU
-
Project IRIS
[6]
17
(c) FAW
–
Johannes Kepler Universität
|
FAW
Current Research Work
ad Knowledge: EU
-
Project IRIS
[7]
Passive Decision Support
Combining Semantic Nets and Search Engines
[2]
(Example: VCEDEIS )
Components
–
Search engine
–
Topic Map (3 layer), currently transferred to OWL
–
Web Portal
•
Document upload platform
•
Topic Map navigator incl. full
-
text search
Content
Topics
Topics
Content
18
(c) FAW
–
Johannes Kepler Universität
|
FAW
Current Research Work
ad Knowledge: EU
-
Project IRIS
[8]
Decentralized Approach
–
Each group can operate its own
Knowledge Base (KB) and
Decision Support Systems
–
IRIS Knowledge Base provides interface to partner KBs
–
Web Portal to access and administrate IRIS KB
–
Decision support (data assessment)
mainly relies on local measurement data
and on local background information (KB)
–
OWL will be the language
Knowledge Representation
(at higher level)
IRIS Ontology Landscape
IT
-
Framework, Current Big Picture
FAW
EU
-
FP7
-
Project IRIS
19
|
(c) FAW
–
Johannes Kepler Universität
CBR
-
Cycle
(Aamodt&Plaza1994):
•
Case Base
: General knowledge (knowledge
base, e.g. models, reports, rules …) and
already known cases
•
Retrieve
: Search
–
Retrieve the most similar case or cases
•
Reuse
: Adaptation
–
Reuse the information and knowledge
in that case to solve the problem
•
Revise
: Verification
–
Revise the proposed solution
•
Retain
: Learn
–
Retain the parts of this experience
likely to be useful for future problem
solving
Case Based Reasoning in General
Case Based Decision Support
[1]
FAW
EU
-
FP7
-
Project IRIS
20
|
(c) FAW
–
Johannes Kepler Universität
CBR for IRIS
•
Adopted to IRIS
-
Demands
•
More flexible
(to be used in different Domains)
Our new CBR
-
Framework for IRIS
Case Based Decision Support
[1]
FAW
EU
-
FP7
-
Project IRIS
21
|
(c) FAW
–
Johannes Kepler Universität
General Statements on Cloud Computing
Classical Computing
•
Buy & Own
:
Hardware, System Software,
Applications
(often to meet peak needs)
•
5
•
Install, Configure,
Test, Verify, Evaluate
•
Manage
:
•
. . .
•
Finally, use it
•
€€€€€
-
high Cost
Cloud Computing
Subscribe
Use
€
-
pay for what you use,
based on
QoS
(Quality of Service)
every 18 Month?
Long Term Vision ‘The IRIS Cloud’
[1]
FAW
EU
-
FP7
-
Project IRIS
22
|
(c) FAW
–
Johannes Kepler Universität
General Statements on Cloud Computing
Definition
1
A Cloud is a type of parallel and distributed system consisting of a collection of
inter
-
connected and
virtualised
computers that are
dynamically provisioned
and
presented as one or more unified computing resources based on
service
-
level
agreements
established through
negotiation
between the service provider and
consumers.
Cloud Services
•
Software as a Service
(e.g. Google Mail, … )
•
Platform as a Service
(e.g. Google App Engine, Microsoft Azure, … )
•
Infrastructure as a Service
(e.g. Amazon.com, … )
Ownership and Exposure
•
Public/Internet Clouds
(3
rd
party Cloud Infrastructure and services, available on subscription basis)
•
Private/Enterprise Clouds
(Cloud runs within a company’s data center, for internal and/or partners use)
•
Hybrid/Mixed Clouds
(mixed usage of private and public clouds)
1
Rajkumar
Buyya
, Cloud Computing and Distributed Systems
(CLOUDS) Lab, Dept. of Computer Science and Software Engineering,
The University of Melbourne, Australia
Long Term Vision ‘The IRIS Cloud’
[2]
FAW
EU
-
FP7
-
Project IRIS
23
|
(c) FAW
–
Johannes Kepler Universität
IRIS Private Cloud
Long Term Vision ‘The IRIS Cloud’
[3]
FAW
EU
-
FP7
-
Project IRIS
24
|
(c) FAW
–
Johannes Kepler Universität
IRIS Private Cloud and Mediator
Long Term Vision ‘The IRIS Cloud’
[4]
FAW
EU
-
FP7
-
Project IRIS
25
|
(c) FAW
–
Johannes Kepler Universität
IRIS Private Cloud and Consumption
Long Term Vision ‘The IRIS Cloud’
[5]
FAW
EU
-
FP7
-
Project IRIS
26
|
(c) FAW
–
Johannes Kepler Universität
•
Decision Support (WP7)
-
State: Enhanced Case Based Reasoning Framework
is in an implementation stage
Work on Active Decision Support is promising
-
Plan:
Continue on CBR, Active Decision Support
Knowledge Base and Prototypes (Proof of Concepts)
•
Data / Knowledge Integration (WP6) and
Risk Informed Design (WP8)
-
State:
IRIS System Landscape is in a stable version
Work on Integration Ontologies is ‘well on track’
(e.g. Bride Ontology is almost finished)
-
Plan:
Continue on Ontologies, keep integration in mind,
(if time, think and work more on the IRIS
-
Cloud
)
State, Plan for Next Steps
FAW
EU
-
FP7
-
Project IRIS
27
|
(c) FAW
–
Johannes Kepler Universität
Enter the password to open this PDF file:
File name:
-
File size:
-
Title:
-
Author:
-
Subject:
-
Keywords:
-
Creation Date:
-
Modification Date:
-
Creator:
-
PDF Producer:
-
PDF Version:
-
Page Count:
-
Preparing document for printing…
0%
Σχόλια 0
Συνδεθείτε για να κοινοποιήσετε σχόλιο