Industrial Ontologies Group Oleksiy Khriyenko, Vagan Terziyan INDIN´04: 24th – 26th June, 2004, Berlin, Germany OntoSmartResource: An Industrial Resource Generation in Semantic Web

ContentsContents  Meaning extension of the “SW resource”  OntoSmartResource – a smart resource of the Semantic Web:  Resource behavior and proactivity  Semantic Maintenance of a Resource  HUMAN as a smart-resource in the Semantic Web:  Human adaptation  Ontology personalization  Conclusions and References  Meaning extension of the “SW resource”  OntoSmartResource – a smart resource of the Semantic Web:  Resource behavior and proactivity  Semantic Maintenance of a Resource  HUMAN as a smart-resource in the Semantic Web:  Human adaptation  Ontology personalization  Conclusions and References

Meaning extension of the “SW resource” In our opinion, the problem is initial orientation of semantic technology development to World Wide Web digital resources. This resulted to omission from consideration of other industrial domain resources: devices, processes and even humans. Instead of previous Semantic Web’s meaning, nowadays “machines” can be also considered in the form of embedded computational entities, such as e.g. intelligent parts of the field devices. We should involve the objects of the real industrial world into Semantic Web. Of course, a main object of the real world was and is a human, which also must be a resource (not just a user) of a global semantic enabled environment. “Device” “Expert” “Service”

O NTO S MART R ESOURCE a smart resource of the Semantic Web Smart-resource is a proactive dynamic resource, which sufficiently and proactively reacts on changes within its external environment or within itself. Each resource mast be supplied with a proactive goal/behavior interpretation module - Resource Agent. Since a resource content may be changed, then it brings also a resource semantics change. Then most important action would be automated changing of the resource semantic description (Semantic Maintenance of a resource). Resource Description Semantic Maintenance System (RDSMS) is a set of the mobile or static services, which automatically make a new semantic description of a resource based on its changed content, parameters, preferences, actions, etc. Resource Agent ResourceResource Resource Description Semantic Maintenance Center Semantic Maintenance Services Local Semantic Maintenance Center

Human Adaptation HUMAN as a smart-resource in the Semantic Web “Device” “Service/ application ” “Human/ Expert ” Resources of the Real World Resources of the Virtual World We think reasonable to consider HUMAN as a resource (web-service or agent), which can be semantically discovered in the Web, queried and used by both any resource of virtual world (application, service, and agent) and resources of real world (humans, smart-devices, etc). It makes a sense in new automated industrial environments where motivated by an embedded intelligent system smart-device performs maintenance activities via use of domain-oriented maintenance services and human-experts. Human will be motivated to be as a web service especially in business environment where he/she can get money or other benefits by own knowledge and capabilities utilization. Human Adaptation means adaptation in both human-software and software-human directions. Interaction between a human and a Web service environment must be organized in understandable form for a human and partly in a way of semantic conversation (semantically rich natural language requests, answers, etc.) via the HumanOntoAdapter. Human understandable interface Integration Environment ResourceResourceHumanOntoAdapter

Ontology Personalization HUMAN as a smart-resource in the Semantic Web People are very different in many reasons: “ D river” Common ontology Machine Understandable Interface Common ontology Human Understandable Interface Personal ontology  Linguistic (language) and cultural difference  Different notion concerning one (same) entity  Different perception of the incoming information  Etc. Ontology Personalization means development of the support mechanism for double-sided ontology. Each player will be able to create personal ontology, or in other words he/she can describe each object from common ontology (or often used part of it) in terms of own presentation way (language, terms, notion, etc.). Ontology Personalization would be a human adaptation on the Semantic Layer. OntologyInterpreter aims at two-forked interpretation of the notion concepts on the input and output of the human user interface. OntologyInterpreter

ConclusionConclusion In this paper we have extended the usual set of Semantic Web resources to a new generation of the enhanced smart-resources (OntoSmartResources). We considered following aspects as: a resource behavior mechanism and a Resource Description Semantic Maintenance System for an OntoSmartResource. A support of these aspects opens a new possibility for the dynamic resources to be proactive and do (semantic) maintenance of own (metadata) content when needed. Also in this paper we considered a human as a kind of smart-resource. We involved human as a resource (player) of a global integrated semantic environment and considered the aspects related to the human representation and adaptation mechanism. Especially we placed the emphasis on application of an Ontology Personalization mechanism to simplify interactions between players of the OntoEnvironment and increase their collaborative performance. In this paper we have extended the usual set of Semantic Web resources to a new generation of the enhanced smart-resources (OntoSmartResources). We considered following aspects as: a resource behavior mechanism and a Resource Description Semantic Maintenance System for an OntoSmartResource. A support of these aspects opens a new possibility for the dynamic resources to be proactive and do (semantic) maintenance of own (metadata) content when needed. Also in this paper we considered a human as a kind of smart-resource. We involved human as a resource (player) of a global integrated semantic environment and considered the aspects related to the human representation and adaptation mechanism. Especially we placed the emphasis on application of an Ontology Personalization mechanism to simplify interactions between players of the OntoEnvironment and increase their collaborative performance.

ReferencesReferences  Semantic Web, URL: S.R.L., URL:  “OWL-S: Semantic Markup for Web-Services”, The OWL Services Coalition, December 2003, URL:  D. Fensel, “Semantic Web Services: A Communication Infrastructure for eWork and eCommerce”, In: Proceedings of the ICWE 2003, Oviedo, Spain, LNCS 2722, Springer,  V. Terziyan, O. Khriyenko, “Mobile Agent-Based Web Service Components in Semantic Web”, Eastern-European Journal of Enterprise Technologies, Vol. 2, No. 2,  O. Khriyenko, O. Kononenko, V. Terziyan, “OntoEnvironment: An Integration Infrastructure for Distributed Heterogeneous Resources”, In: IASTED International Conference on Parallel and Distributed Computing and Networks (PDCN 2004), Innsbruck, Austria, Feb  J. Davies, D. Fensel, F. Harmelen (eds.), ”Towards the Semantic Web”, Wiley,  FieldSence – Intelligent Products for Field Systems Lifecycle Management, Metso Automation Web Cite, 2002, URL:  Semantic Web, URL: S.R.L., URL:  “OWL-S: Semantic Markup for Web-Services”, The OWL Services Coalition, December 2003, URL:  D. Fensel, “Semantic Web Services: A Communication Infrastructure for eWork and eCommerce”, In: Proceedings of the ICWE 2003, Oviedo, Spain, LNCS 2722, Springer,  V. Terziyan, O. Khriyenko, “Mobile Agent-Based Web Service Components in Semantic Web”, Eastern-European Journal of Enterprise Technologies, Vol. 2, No. 2,  O. Khriyenko, O. Kononenko, V. Terziyan, “OntoEnvironment: An Integration Infrastructure for Distributed Heterogeneous Resources”, In: IASTED International Conference on Parallel and Distributed Computing and Networks (PDCN 2004), Innsbruck, Austria, Feb  J. Davies, D. Fensel, F. Harmelen (eds.), ”Towards the Semantic Web”, Wiley,  FieldSence – Intelligent Products for Field Systems Lifecycle Management, Metso Automation Web Cite, 2002, URL: