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Industrial Ontologies Group (2002-2012) (Fast Introduction) Industrial Ontologies Group.

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1 Industrial Ontologies Group (2002-2012) (Fast Introduction) Industrial Ontologies Group

2 Researchers  Vagan Terziyan  Vagan Terziyan (Head)  Olena Kaykova  Oleksiy Khriyenko  Sergiy Nikitin  Michal Nagy Industrial Ontologies Group Contact Person: Timo Tiihonen  e-mails: timo.tiihonen@jyu.fitimo.tiihonen@jyu.fitimo.tiihonen@jyu.fi vagan.terziyan@jyu.fivagan.terziyan@jyu.fivagan.terziyan@jyu.fi +358 14 260 2741  phone: +358 14 260 2741 University of Jyväskylä URL: http://www.mit.jyu.fi/ai/OntoGroup http://www.mit.jyu.fi/ai/OntoGroup  Michael Cochez  Joonas Kesäniemi  Viljo Pilli-Sihvola  Jose Luis Garduno

3 IOG Roadmap: GUN-GERI- UBIWARE-SmartResource GUN (Global Understanding Environment) – Proactive Self-Managed Semantic Web of Everything – Web 5.0 candidate - general ecosystem and final destination GERI (Global Enterprise Resource Integration) – GUN subset related to industrial domains - is based on PRIME (Proactive Inter-Middleware) as UBIWARE extension UBIWARE – middleware for GERI SmartResource – semantic technology, pilot tools and standards for UBIWARE Tekes (2004-2006) Tekes (2007-2010) FP7 (2011-2013) ?? (2014-2018)

4 Topics of Major Publications (2006-2010) (Industrial Ontologies Group) ψ-Projection of the IOG Research Roadmap IOG Major Publications’ Topics Industrial Ontologies Group

5 Global Understanding Environment (GUN) (Industrial Ontologies Group) GUN is a kind of Ubiquitous Eco-System for Ubiquitous Society, which is such proactive, self-managed evolutionary Semantic Web of Things, People and Abstractions where all kinds of entities can understand, interact, serve, develop and learn from each other. http://www.mit.jyu.fi/ai/OntoGroup/projects.htm http://www.mit.jyu.fi/ai/Industrial_Ontologies_Group_booklet_print.doc GUN = Global Environment + Global Understanding = = Proactive Self-Managed Semantic Web of Everything

6 Main projects SmartResource (TEKES 2004-2006) – Development of a global and smart maintenance management environment for heterogeneous industrial resources – Companies: TietoEnator, Metso Automation, TeliaSonera, Jyvaskyla Science Park, ABB, CASCOM, OntoWeb, Sodium, ASG – More info: http://www.mit.jyu.fi/ai/OntoGroup/SmartResource_details.htm http://www.mit.jyu.fi/ai/OntoGroup/SmartResource_details.htm Ubiware (TEKES 2007-2010) – Development of middleware platform (UBIWARE) which will allow creation of self-managed complex industrial systems consisting of distributed, heterogeneous, shared and reusable components of different nature – Companies: Metso Automation, Fingrid, ABB, InnoW, Hansa Ecuras, Nokia – More info: http://www.mit.jyu.fi/ai/OntoGroup/UBIWARE_details.htm http://www.mit.jyu.fi/ai/OntoGroup/UBIWARE_details.htm

7 SmartResource project - our first step towards GUN  SmartResource: “Proactive Self-Maintained Resources in Semantic Web” Tekes project (2004-2006) done by IOG.  Project site: http://www.mit.jyu.fi/ai/OntoGroup/SmartResource.htm  One of the most essential results of the SmartResource project was creation of the “Smart Resource Technology” for designing complex software systems. The technology allows considering each traditional system component as a “smart resource”, i.e. proactive, agent-driven, self-managing. Such approach has shown certain advantages comparably to other software technologies, e.g. OOSE, SOA, Component-Based SE, Agent-Driven SE, Semantic SE, etc.

8 UBIWARE (Industrial Ontologies Group)

9 UBIWARE (Platform Architecture)

10 UBIWARE (Scientific Impact)

11 UBIWARE (4i (“for-eye”) Browser) 4i-Browser is able to select resources from a semantic repository, which are semantically close to a given resource in certain customized context, and visualize (also with the help of external services) both: the resources and the closeness

12 UBIWARE-Driven Distributed Data Sources Management (OntoNuts-supported)

13 UBIWARE-Driven Heterogeneous Systems Integration (OntoNuts-supported)

14 Participation in other projects TRUST project supported by Tempus(EU) (2011-2013) – Semantic Portal for Quality Assurance Support in Universities iSCOPE project (2011) – Location-based alerting system for mobile users Cloud software program (2010-2011) – Integration of social networks (Nokia) – Competence search in human space (Tieto) SWIMMER (2006-2007) – Semantic Web Integrator for Maintenance Management of Enterprise Resources SCOMA Semantic Web portal (2005) Semantic Facilitators for Web Information Retrieval (2004) Idea Mentoring II (2004) Idea Mentoring (2004) Several Tempus projects supported by EU All projects: http://www.mit.jyu.fi/ai/OntoGroup/projects.htmhttp://www.mit.jyu.fi/ai/OntoGroup/projects.htm All projects: http://www.mit.jyu.fi/ai/OntoGroup/projects.htmhttp://www.mit.jyu.fi/ai/OntoGroup/projects.htm

15 “Executable Knowledge” [Concept of Industrial Ontologies Group] Executable script: knowledge management instructions Executable Knowledge Executable Knowledge is such a knowledge, which contains explicit (executable) instructions on how to manage itself (i.e. self-management enabled) Knowledge Computing Knowledge Computing – Executable Knowledge Management [Industrial Ontologies Group] S-APL

16 “Executable” Mixed Reality: Business Intelligence on Top of Linked Data (concept of Industrial Ontologies Group)

17 “Mashupper” for Social Networks (Industrial Ontologies Group) UBIWARE-Driven http://www.mit.jyu.fi/ai/OntoGroup Monitors and integrates your profile and activities in various social networks

18 Semantic Monitoring of Power Networks on UBIWARE Platform (Industrial Ontologies Group) Software application on top of UBIWARE platform done as a case study to demonstrate added value of Semantic and Agent technologies for power network maintenance. Application connects different sources of information and service providers with some decision logic and visualizes results as a semantic mashup.

19 PRIME: PR oactive I nter- M iddlewar E as 2-nd order middleware (Future Vision)

20 GERI: G lobal E nterprise R esource I ntegration to enable “Ecosystem-as-a-Service” (Future Vision)

21 GERI: G lobal E nterprise R esource I ntegration to enhance industrial systems with public/social context and services (Future Vision)

22 Our activities in Tivit (Services)

23 Our recent activities in Tivit (Cloud Software)

24 Our recent activities in Tivit (Internet of Things)

25 Our recent activities in TEMPUS: TRUST: Towards Trust in Quality Assurance Systems (Architecture of Semantic Portal) Our recent activities in TEMPUS: TRUST: Towards Trust in Quality Assurance Systems (Architecture of Semantic Portal)

26 IOG-Driven: New International and Interdisciplinary Master Program: WISE IOG-Driven: New International and Interdisciplinary Master Program: WISE Program Mission : on completion of the programme, the graduates will be able to use and design complex self-managed Web-based public and industrial systems, digital ecosystems, platforms, services and applications; will be able to connect their designs with publicly available data and Web-based capabilities as services; will be able to figure-out and approach various challenging aspects of wicked problems world- wide, which require self-managed service-based architectures for their solutions; understand and professionally utilize for that purpose knowledge on enabling technologies and tools; perform academic doctoral level studies; will be skilful in international communication due to the integrated language and communication studies. Students, who will graduate from the programme with a Master of Science in Natural Sciences from the Department of Mathematical Information Technology, will think beyond the routine and will be able not just to adapt to a change but to help to create and control it. Official Web Site of the WISE Program: https://www.jyu.fi/en/studywithus/programmes/wisehttps://www.jyu.fi/en/studywithus/programmes/wise http://www.cs.jyu.fi/ai/WISE.pdf

27 UNIVERSITY OF JYVÄSKYLÄ Industrial Ontologies Group  Joint group with Agora Center lead by Prof. Vagan Terziyan  5 PhD’s in JyU (Naumenko, Khriyenko, Kohvakko, Zhovtobryukh, Nikitin) + + 4 PhD’s abroad (Vitko, Shevchenko, Scherbak, Golovyanko) in Ukrainian branch of IOG;  Research vision: Global Understanding eNvironment –Proactive Self-Managed Semantic Web of Everything; –GUN slogan: EaaS4E: “Everything-as-a-Service for Everything”  Research themes –Proactive computing (Agents, multi agent systems) –Semantic Web –Services (SOA, Cloud Computing) –Intelligence (Machine learning, Data mining) Industrial Ontologies Group http://www.mit.jyu.fi/ai/OntoGroup

28 UNIVERSITY OF JYVÄSKYLÄ IOG – major outcomes  S-APL (Semantic Agent Programming Language) –RDF based language for multi agent systems –Both data and actions described semantically –Enables ”Knowledge Computing”  UBIWARE –Versatile middleware platform based on semantically coordinated multi-agent system –Uses and supports S-APL on JADE multi agent platform –Several industrial pilot cases (ABB, Metso, FinGrid) linking databases and web tools (Google Earth, social networks) Industrial Ontologies Group

29 UNIVERSITY OF JYVÄSKYLÄ IOG – TIVIT (future plans): Program: Tivit-D2I (”From Data to Intelligence”)  Activity group 1: “Preparing for Linked Data” (gathering, collection, standardization): –Gathering and integration of contextual data from the Web. –Gathering and integration of ubiquitous data from industry-driven ubiquitous sources. –Gathering and integration of dynamic customer data. –Gathering and integration of dynamic business data. –Gathering and integration of modeling data from various real-life simulators.  Activity group 2: “Creating, deploying and enabling Linked Data”: –Adding semantic layer. –Design and development of linked data browser and adaptive semantic search engine. –Enabling user- and/or context-driven filtering of the data for smooth visualization. –Enabling data profiling, classification, clustering and grouping based on semantic similarity metrics. –Enabling on-the-fly generated MashUps and MeshUps from Linked Data. –Automatic discovery of hidden/implicit semantic links and multi-linguistic support  Activity group 3: “Utilization of Linked Data”: –Enabling decision making support (BIaaS: “Business Intelligence-as-a-Service”). –Automatic discovery of relevant data sources for a particular decision. –Automatic discovery, orchestration, choreography, invocation, execution and execution monitoring of BI services. –Designing infrastructure for mining linked data (LDM). –Providing Semantic SOA infrastructure for data mining software as a service on top of Linked Data (DMaaS: “Data-Mining-as-a-Service”). –Providing pilot implementation of the infrastructure for a particular set of DM algorithms applied on top on industry-origin Linked Data. Industrial Ontologies Group TIVIT - Finnish foundation for strategic research and innovation

30 UNIVERSITY OF JYVÄSKYLÄ IOG – TIVIT (future plans): Program: Tivit-IoT (”Internet of Things”)  Enabling Services (clouds) for IoT, Bridging IoT with IoS;  Enabling Thing-as-a-User (TaaU) vs. Thing-as-a- Service (TaaS) and enabling Semantic T2T (also T2H, H2T, etc.) communication capability and interfaces for it;  Middleware for IoT (e.g. UBIWARE-Driven);  Self-Managed IoT (agent-driven);  Semantic Interfaces, Semantic API, Semantic MashUps / MeshUps, Semantic Visualization for IoT;  Enabling “Socially Networked” things. Industrial Ontologies Group

31 UNIVERSITY OF JYVÄSKYLÄ IOG – TIVIT (future plans): Program: Tivit-Services –Private (customized) decision-support services for public related to: education; healthcare and wellness; managing finances; etc… … based on “Executable Reality” concept (Business Intelligence on top of Linked Data), semantic and agent technologies. Industrial Ontologies Group –Challenge the slogan: “Everything-as-a-User” (EaaU) : Device as service consumer; Software system or Web-service as service consumer; …, etc., … … in addition to the “human as service consumer”.

32 UNIVERSITY OF JYVÄSKYLÄ Our recent plan for FP7

33 UNIVERSITY OF JYVÄSKYLÄ Contact us! (c) Industrial Ontologies Group Home page: http://www.mit.jyu.fi/ai/OntoGroup http://www.mit.jyu.fi/ai/OntoGroup Vagan Terziyan (vagan.terziyan@jyu.fi)vagan.terziyan@jyu.fi Timo Tiihonen (timo.tiihonen@jyu.fi)timo.tiihonen@jyu.fi

34 UNIVERSITY OF JYVÄSKYLÄ Our 10-Years Anniversary (16.11.2012)


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