1. Zharko A., ”Industrial Ontologies” Group, February 2004 Community Formation Scenarios in Peer-to-Peer Web Service Environments Olena Kaykova, Oleksandr Kononenko, Vagan Terziyan, Andriy Zharko Department of Mathematical Information Technology, University of Jyväskylä, FINLAND

2. Zharko A., ”Industrial Ontologies” Group, February 2004 Heterogeneity and Interoperability

3. Zharko A., ”Industrial Ontologies” Group, February 2004 Knowledge Management platform Smart industrial devices can be also Web Service “users”. Their embedded agents are able to monitor the state of appropriate device, to communicate and exchange data with another agents. There is a good reason to launch special Web Services for such smart industrial devices to provide necessary online condition monitoring, diagnostics, maintenance support, etc.

4. Zharko A., ”Industrial Ontologies” Group, February 2004 OntoShell structure - Registry - Resource - Discovery Module - Manager - Adapter

5. Zharko A., ”Industrial Ontologies” Group, February 2004 Peer-to-Peer community P2P community is “a set of active members, who are involved in sharing, communicating and promoting a common interest” Communities are useful in structuring the information storage space, discovering resources and pruning the search space. It also aids in better dissemination of useful information.

6. Zharko A., ”Industrial Ontologies” Group, February 2004 Clustering purposes Industrial Maintenance Service Maintenance personnel service Alarm service Diagnostic service Logging service Documentation service Control service Fully- automated Semi- automated Simple Advanced Predictive Proactive Preventive Signaling Communicative Interactive Informational s s s s s s Full-cycle Automated Supportive s ppppp p p p p p Geographical location located at ContinentCountry Region s s p p certified by Certification service Commercial State s Function invoked via accessible at Resourc e DataType Literal name in out Composing typesClassifying types Service properties

7. Zharko A., ”Industrial Ontologies” Group, February 2004 1. Composition-oriented clustering compound services level N top-level services terminal service components

8. Zharko A., ”Industrial Ontologies” Group, February 2004 2. Similarity-based clustering

9. Zharko A., ”Industrial Ontologies” Group, February 2004 Establishment of partner relations

10. Zharko A., ”Industrial Ontologies” Group, February 2004

11. Serialization of semantic messages RDF: description RDFS: vocabulary