Industrial Ontologies Group University of Jyväskylä Industrial Ontologies Group

Researchers  Vagan Terziyan  Vagan Terziyan (Head)  Olena Kaykova  Oleksiy Khriyenko  Sergiy Nikitin  Michal Nagy Industrial Ontologies Group Contact Person: Timo Tiihonen  s:  phone: University of Jyväskylä URL:  Michael Cochez  Joonas Kesäniemi  Viljo Pilli-Sihvola  Jose Luis Garduno

Group Profile (summary)

Industrial Ontologies Group University of Jyväskylä UBIWARE Project “ Smart Semantic Middleware for Ubiquitous Computing” “Device” “Expert” “Service” Resource Agent

Interoperability Challenge  Future Web applications and Web-based systems will contain heterogeneous components and therefore will demand support for integration, interoperability, collaboration and mutual service provisioning between resources of different types.

Components of a modern system are not only highly heterogeneous but also globally distributed (SOA) … Web 2.0: Web of Humans Web of Things Web of Software and Services Web 3.0: Web of Knowledge Web 4.0: Web of Intelligence

… or some parts of the system may run within huge data centers (Cloud Computing)… within huge data centers (Cloud Computing)… … or some parts of the system may run within huge data centers (Cloud Computing)… within huge data centers (Cloud Computing)…

… and some parts of the system may be placed into mobile terminals under supervision of various mobile ecosystems…

…and there should be an easy way to design, use, administrate and reconfigure the system …

… and the system in many cases should be able to reconfigure and manage itself (i.e. autonomic, proactive, self-managed)…

Adding a “virtual representative” to every resource solves the global interoperability problem. Intelligent agent (a kind of “software robot”) will act, communicate and collaborate on behalf of each Web resource Agents are needed ! … and semantics is needed ! Semantic adapter Semantic communication Semantic business logic

GUN Concept (Industrial Ontologies Group) GUN – Global Understanding eNvironment GUN = Global Environment + Global Understanding = Proactive Self-Managed Semantic Web of Everything

Global Understanding Environment (GUN) Human-to-Human Human-to-Machine Machine-to-Human Machine-to-Machine Agent-to-Agent GUN can be considered as a kind of Ubiquitous Eco-System for Ubiquitous Society, which will be 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. Software-to-Human Software-to-Machine Software-to-Software Human-to-Software …

UBIWARE Project – direction towards GUN  Due to heterogeneity of provided services and supported components, UBIWARE is based on integration of several technologies:Semantic Web, Distributed Artificial Intelligence and Agent Technologies, Ubiquitous Computing, SOA (Service-Oriented Architecture), Web X.0, and related concepts.  Due to heterogeneity of provided services and supported components, UBIWARE is based on integration of several technologies: Semantic Web, Distributed Artificial Intelligence and Agent Technologies, Ubiquitous Computing, SOA (Service-Oriented Architecture), Web X.0, and related concepts.  The research and design on UBIWARE is started by within UBIWARE project: “Smart Semantic Middleware for Ubiquitous Computing” (June 2007 – December 2010) funded by Tekes and industrial companies.  The research and design on UBIWARE is started by Industrial Ontologies Group within UBIWARE project: “Smart Semantic Middleware for Ubiquitous Computing” (June 2007 – December 2010) funded by Tekes and industrial companies. Industrial Ontologies Group  Project web page:  Project web page:

UBIWARE 3.0 ( ) platform (ready in August 2010) UBIWARE 3.0 is a Web-based platform for creating and executing configurable distributed systems based on generalized and reusable business scenarios, which heterogeneous components (actors) are not predefined but can be selected, replaced and configured in runtime.

Presentation Case for UBIWARE 3.0

X1 :firstName :Vagan X1 :lastName :Terziyan X1 :sex :Male X1 :birthday :27/12/1958 X1 : X1 :interest :fishing X1 :hasPhoto #vagan.jpg X1 :group :IOG X1 :group :RuleML … X1 :education :KNURE X1 :position :professor X1 :hasFriend X2 X2 :firstName :Alain X2 :lastName :Gourdin … X1 :hasFriend X3 X3 :firstName :Mikko X3 :lastName :Vapa … Linked Data

Sample of UBIWARE-driven Mobile Application

Industrial Ontologies Group University of Jyväskylä Why do you need UBIWARE and UBIWARE-based products and services ? UBIWARE team University of Jyväskylä, 15 May, slides on:

What the companies usually want to get from us? They want to see technology applied to their problems, allegorically they want a ready-to-use product, let us say, coffee, but…

UBIWARE allegoric view S-APL script UBIWARE IOG But we are providing much more than just a coffee, we are providing a coffee maker !

UBIWARE allegoric view (2) S-APL script UBIWARE IOG Coffee Roaster Roaster Coffee Grinder Grinder Roasted beans Unroasted beans Roasted beans Ground coffee 4. UBIWARE is also about orchestrating external resources to achieve a goal!

Outsourced external resources can be both: information and service providers S-APL script UBIW ARE IO G

You may say however: “I still want my coffee, not a coffee maker !” S-APL scrip t UBIW ARE IO G You may still get your coffee made by our coffee maker, hosted “within the cloud”, and even have possibility to take part in making your coffee every time you need it and every way you like it! Order and instructions Coffee

You may serve the coffee made by our “Cloud-Coffee-Maker” to others S-APL scrip t UBIW ARE IO G Order and instructions Coffee

Message to the UBIWARE partners Do not loose the opportunity, save your resources – select UBIWARE (“make coffee yourself (using your or our kitchen infrastructure) easily and cheaper whenever you need it and not buy it every time”); Help us to develop the basis of UBIWARE first of all, then you will be able to manage you future (even more sophisticated) cases by yourself.

GERI: Global Enterprise Resource Integration with case study on: (a) Mobile-Ecosystem-as-a-Service; (b) Enhancement of industrial systems with public/social context and services. GERI: Global Enterprise Resource Integration with case study on: (a) Mobile-Ecosystem-as-a-Service; (b) Enhancement of industrial systems with public/social context and services. Plan for new Tekes proposal: According to IOG roadmap towards GUN: SmartResource-UBIWARE-GERI-GUN Industrial Ontologies Group

GERI research challenges APIaaS: API-as-a-Service; ESaaS: EcoSystem-as-a-Service; INaaS: Intelligence-as-a-Service; KaaS: Knowledge-as-a-Service; INTaaS: Integration-as-a-Service; VaaS: Visualization-as-a-Service; P&SaaS: Privacy and Security-as-a-Service; HPCaaS: High Performance Computation-as-a- Service; TaaS: Testing-as-a-Service; ITaaS: IT-as-a-Service (general concept);

Enhancement of Industrial Systems with Public/Social Context and Services

Semantic Interface GERI users will be able to orchestrate services from heterogeneous ecosystems