data integration solution for paper industry industrial ontologies group university of jyväskylä...
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DATA INTEGRATION SOLUTION FOR PAPER INDUSTRYDATA INTEGRATION SOLUTION FOR PAPER INDUSTRY
Industrial Ontologies Group University of Jyväskylä
Motivating scenarioMotivating scenario
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Customer SiteCustomer Site
(maintenance support)
The alarm data generated by embedded systems are not stored at the maintenance service provider site although they could be used as training samples in machine learning algorithms for predictive maintenance. The data are not linked with experts’ diagnoses. The experts’ decisions and, hence, experts’ knowledge is neither collected nor linked with the alarm data.
The solutionThe solution
CentralCentralHubHub
SiteHub
SiteHub
SiteHub
!SOAP
message
CentralHub
!SOAP
message
VPNVPN
Metso siteMetso siteMetso siteMetso site
(paper production line)
!SOAP
message
!SOAP
message
!SOAP
message
MESSAGE HANDLERParse XML
Transform to RDF Store
RDF
MESSAGE BROWSER
SeRQL Query
Store RDF
!SOAP
message
Query Result
Transform to HTML
Add annotation (XML)
Transform to RDF
Generic problemGeneric problem Why Semantic Web?Why Semantic Web?
Author infoAuthor info
Nikitin S., Terziyan V. and Pyötsiä J., Data Integration Solution For Paper Industry, In proceedings of 4th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2007), May 8-12, 2007, Angers, France.
Resource Data
Information Resource
Common Application Domain
Integrated Knowledge
Querying
Presentation
Integrated Annotation Semantic Web can be a solution to those problems and situations that we are yet to define…
Ora Lassila
Resource Data
Information Resource
Resource Data
Information Resource
Industry challenges the IT-sector with new requirements that are dictated by the need to offer essentially new services to customers in order to be competitive in the market. These requirements may become difficult to meet using conventional tools and approaches. When integrating data from different sources the growth in the information volumes we want to store and process leads to an unprecedented level of complexity.
We could have implemented it without Semantic Web, but…
We do not have a fixed set of use cases for the data storage, nor is that preferred.
New business scenarios may appear at any time during the operation life cycle that will require an extension of the domain model
We may generate new essential data (by analytic algorithms, experts’ opinions, etc.) for storing, based on already collected data. And this information needs to be integrated.
The Semantic Web gives us the means to set up an extensible domain model that is easy to query. Our tool does not offer a tailored solution for a particular problem, but instead provides a unified data storage.
Dr. Tech. Jouni Pyötsiä
Vice President, ICT Development, Metso Automation, Finland
Prof. Dr. (Habil) Tech. Vagan Terziyan
Professor in Distributed Systems at the Mathematical Information Technology department, University of Jyväskylä, Finland
Head of the Industrial Ontologies Group
http://www.cs.jyu.fi/ai/vagan
Ms. Sc. Sergiy Nikitin
Researcher at the Agora Center and a Ph.D. student at the IT faculty of the University of Jyväskylä, Finland
Member of the Industrial Ontologies Group
http://people.jyu.fi/~senikiti
SiteSiteHubHub
XML Query
Transform to SeRQL