industrial ontologies group university of jyväskylä ubiroad: “semantic middleware for smart...
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Industrial Ontologies Group
University University of Jyväskyläof Jyväskylä
UbiRoad:UbiRoad:“Semantic Middleware for “Semantic Middleware for
Smart Traffic Management”Smart Traffic Management”
““Road”Road”
““VehicleVehicle””
Resource Resource AgentAgent
Vagan Terziyanand Industrial Ontologies Group
Resource Resource AgentAgent
Resource Resource AgentAgent
““Driver”Driver”
Researchers Vagan TerziyanVagan Terziyan (Head) Olena Kaykova Oleksiy Khriyenko Sergiy Nikitin Michal Nagy
Industrial Ontologies GroupIndustrial Ontologies GroupIndustrial Ontologies GroupIndustrial Ontologies Group
Contact Person: Timo TiihonenTimo Tiihonen
e-mails:• [email protected]• [email protected]
phone: +358 14 260 2741+358 14 260 2741
University of JyväskyläUniversity of Jyväskylä
URL:
http://www.mit.jyu.fi/ai/OntoGroup
Michael Cochez Joonas Kesäniemi Viljo Pilli-Sihvola Jose Luis Garduno
Future Smart Traffic Systems: Future Smart Traffic Systems: our expectationsour expectations
Future Smart Traffic Systems: Future Smart Traffic Systems: our expectationsour expectations
• Transportation and driving to be more comfortable, efficient, ecological and less risky;
• seamless mobile information and service provisioning to the users;
• interoperability between the in-vehicle and roadside devices, databases, systems and services produced and programmed by different vendors and/or providers, and the need for seamless and flexible collaboration (including discovery, coordination, conflict resolution and possibly even negotiation) amongst the infrastructure devices and services.
Interoperability ChallengeInteroperability ChallengeInteroperability ChallengeInteroperability 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 Components of a modern system are not only highly heterogeneous but also globally distributed highly heterogeneous but also globally distributed
(SOA) …(SOA) …
Components of a modern system are not only Components of a modern system are not only highly heterogeneous but also globally distributed highly heterogeneous but also globally distributed
(SOA) …(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 IntelligenceWeb 1.0:
Web of Information
… … or some parts of the system may runor 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 runor 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 beand some parts of the system may be placed into mobile terminals under placed into mobile terminals under
supervision of various mobile ecosystems…supervision of various mobile ecosystems…
… … also various systems should enable integrating them also various systems should enable integrating them to a more complex business logic with other systemsto a more complex business logic with other systems
……and there should be an easy way to design, and there should be an easy way to design, use, administrate and reconfigure the system use, administrate and reconfigure the system
……
… … and the system in many cases should be and the system in many cases should be able to reconfigure and manage itself (i.e. able to reconfigure and manage itself (i.e. autonomic, proactive, self-managedautonomic, 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 !Agents are needed !Agents are needed !Agents are needed !
… … and semantics is needed !and semantics is needed !… … and semantics is needed !and semantics is needed !
Semantic connector
Semantic communication
Semantic SOA business logic
GUN Concept GUN Concept (Industrial Ontologies Group)(Industrial Ontologies Group)GUN Concept GUN Concept (Industrial Ontologies Group)(Industrial Ontologies Group)
GUN – Global Understanding eNvironment
GUN=
Global Environment+
Global Understanding =
Proactive Self-Managed Semantic Web of
Everything
http://www.mit.jyu.fi/ai/OntoGroup/projects.htm http://www.mit.jyu.fi/ai/Industrial_Ontologies_Group_booklet_print.doc
GGlobal lobal UUnderstanding Enderstanding Ennvironment (vironment (GUNGUN))GGlobal lobal UUnderstanding Enderstanding Ennvironment (vironment (GUNGUN))
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
…
ψψ-Projection of GUN-Related Research-Projection of GUN-Related Researchψψ-Projection of GUN-Related Research-Projection of GUN-Related Research
Proactivity (agent technologies, Distributed AI, MAS, …) Semantics (Semantic Web, Semantic Technologies, …) Services (SaaS, SOA, SWS, Cloud Computing, …) Intelligence (machine learning, data mining, knowledge
discovery, pattern recognition, NLP, …)
What is Semantic Web ?What is Semantic Web ?What is Semantic Web ?What is Semantic Web ?• The Semantic Web is an evolving development
of the World Wide Web in which the meaning (semantics) of information and services published on the Web and their inter-relationships are explicitly defined, making it possible for the Web-based software tools, agents, applications and systems to discover, extract and “understand” Web information resources and capabilities and automatically utilize it.
• Semantic Technologies are designed to standardize and support interoperability and integration of information content and capabilities (services) of Web-based systems and components at local and global scale.
• As a software technology, semantic technology encodes meanings separately from data and from application code to enable machines to understand, share and reason with them at execution time.
Why Semantic Web? Why Semantic Web? (Ora Lassila)(Ora Lassila)Why Semantic Web? Why Semantic Web? (Ora Lassila)(Ora Lassila)
• “Semantic Web is about to reach its full potential and it would be too costly for companies not to invest to it…”
(Ora Lassila, Nokia Research Center (Boston), IASW-2005, Jyvaskyla)
Intelligent Agents
Software entities that carry out some set of operations on behalf of a user or another program with some degree of independence or autonomy, and in so doing employ some knowledge or representation of a user’s goals or desires.
IBM, Intelligent Agent Definition
What is Agent ?What is Agent ?
Why Agents ?Why Agents ?Why Agents ?Why Agents ?
• Growing complexity of computer systems and networks
• Distributed nature of systems (data, software, users, etc.)
• Ubiquitous computing, “Internet of Things” scalability challenges
• Need for self-manageability of a complex system
• Need for new software development paradigms in designing distributed systems
• Agent-based approach meets the above challenges
What is Service-Oriented Architecture ?What is Service-Oriented Architecture ?What is Service-Oriented Architecture ?What is Service-Oriented Architecture ?
• SOA is the practice of sequestering the core business functions into independent services that don’t change frequently. SOA is a tool for software (as a service) integration. Rather than defining an API, SOA defines the interface to remote Web-based services in terms of protocols and functionality.
Service Oriented Architecture (SOA) is a means of designing and building software. It is a manufacturing model.
Software as a Service (SaaS) is a means of receiving software through an external party to your business similar to telephone or power utilities. It is a sales and distribution model. [J Natoli, Intel]
Why Service-Oriented Architecture ?Why Service-Oriented Architecture ?Why Service-Oriented Architecture ?Why Service-Oriented Architecture ?
• SOA has many advantages: Ability to couple or
decouple functionality without impacting other parts of the system and architecture.
Processes can be orchestrated in a consistent and clear manner.
Service AgentService AgentService AgentService Agent
Proactive Web-Services:Proactive Web-Services:adding an agent to service platform – adding an agent to service platform –
allows agent-based S2S communicationallows agent-based S2S communication
Proactive Web-Services:Proactive Web-Services:adding an agent to service platform – adding an agent to service platform –
allows agent-based S2S communicationallows agent-based S2S communication
Common ontologyCommon ontology
Service PlatformService PlatformService PlatformService Platform
Web-ServiceWeb-ServiceWeb-ServiceWeb-Service
Goal-driven behavior
UBIWAREUBIWARE Project Project – direction towards GUN– direction towards GUNUBIWAREUBIWARE Project Project – direction towards GUN– direction towards GUN
Due to heterogeneity of provided services and supported components, Due to heterogeneity of provided services and supported components,
UBIWARE is based on integration of several technologies:UBIWARE is based on integration of several technologies: Semantic Semantic Web, Distributed Artificial Intelligence and Agent Technologies, Web, Distributed Artificial Intelligence and Agent Technologies, Ubiquitous Computing, SOA (Service-Oriented Architecture), Web X.0, Ubiquitous Computing, SOA (Service-Oriented Architecture), Web X.0, and related concepts.and related concepts.
The research and design on UBIWARE is started byThe research and design on UBIWARE is started by Industrial Ontologies Group within UBIWARE project: “Smart within UBIWARE project: “Smart Semantic Middleware for Ubiquitous Computing” (June 2007 – Semantic Middleware for Ubiquitous Computing” (June 2007 – December 2010) funded by Tekes and industrial companies.December 2010) funded by Tekes and industrial companies.
Project web page:Project web page: http://www.mit.jyu.fi/ai/OntoGroup/UBIWARE_details.htm
UbiRoad UbiRoad is an idea to apply GUN vision and UBIWARE to “Smart is an idea to apply GUN vision and UBIWARE to “Smart Traffic” domainTraffic” domain
What is UBIWARE (in short)What is UBIWARE (in short)What is UBIWARE (in short)What is UBIWARE (in short) UBIWARE is a new software technology and a tool to UBIWARE is a new software technology and a tool to
support:support: design and installation of…,design and installation of…, autonomic operation of… and autonomic operation of… and Interoperability among…Interoperability among…
… … complex, heterogeneous, open, dynamic and self-complex, heterogeneous, open, dynamic and self-configurable distributed industrial systems;…configurable distributed industrial systems;…
… … and to provide following services for system and to provide following services for system components:components: adaptation;adaptation; automation; automation; centralized or P2P organization;centralized or P2P organization; coordination, collaboration, interoperability and negotiation;coordination, collaboration, interoperability and negotiation; self-awareness, communication and observation;self-awareness, communication and observation; data and process integration;data and process integration; (semantic) discovery, sharing and reuse.(semantic) discovery, sharing and reuse.
URL: http://www.cs.jyu.fi/ai/OntoGroup/UBIWARE_details.htm
Current UBIWARE Agent ArchitectureCurrent UBIWARE Agent ArchitectureCurrent UBIWARE Agent ArchitectureCurrent UBIWARE Agent Architecture
S-APLS-APL – Semantic Agent Programming Language (RDF-based)
http://users.jyu.fi/~akataso/sapl.html
S-APLS-APL – is a hybrid of semantics (metadata / ontologies/ rules) specification languages, semantic reasoners, and agent programming languages. It integrates the semantic description of domain resources with the semantic prescription of the agents' behaviors
S-APLS-APL
Semantic Adapters for “Cooperative Traffic”Semantic Adapters for “Cooperative Traffic”Semantic Adapters for “Cooperative Traffic”Semantic Adapters for “Cooperative Traffic”
Universal reusable semantically-configurable
adapters
S-APLS-APLOWLOWL
Role “Driver”
Role “Driver”
Role “Car”
Role “Car”
Role “Smart Road”
Role “Smart Road” Universal reusable
semantically-configurable behaviors
Semantic Behaviors for “Cooperative Traffic”Semantic Behaviors for “Cooperative Traffic”Semantic Behaviors for “Cooperative Traffic”Semantic Behaviors for “Cooperative Traffic”
S-APLS-APLOWLOWL
Scenario “Crossroad
# 3”
Scenario “Crossroad
# 3”
Universal reusable semantically-configurable
scenarios for collaborative driving
Scenario “Crossroad
# 97”
Scenario “Crossroad
# 97”
Semantic Scenarios for “Cooperative Traffic”Semantic Scenarios for “Cooperative Traffic”Semantic Scenarios for “Cooperative Traffic”Semantic Scenarios for “Cooperative Traffic”
S-APLS-APLOWLOWL
Resource Maintenance Lifecycle Resource Maintenance Lifecycle and Semantic History Collectionand Semantic History CollectionResource Maintenance Lifecycle Resource Maintenance Lifecycle and Semantic History Collectionand Semantic History Collection
States Symptoms
DiagnosesMaintenance Plan
Measurement
Data Warehousing
Predictive Measurement
Condition Monitoring
Maintenance
Diagnostics
Maintenance Planning
Predictive Monitoring
Conditions Warehousing
Predictive Maintenance
Plan Warehousing
Predictive Diagnostics
Diagnoses Warehousing
HistoryHistory
Fault detection,
alarms
Faultidentification,localization
Faultisolation
Resource history
collection
S-APLS-APL
Resource
UBIWARE 3.0UBIWARE 3.0 (2009-2010) platform (2009-2010) platform (August 2010)(August 2010)
UBIWARE 3.0UBIWARE 3.0 (2009-2010) platform (2009-2010) platform (August 2010)(August 2010)
UBIWARE 3.0 supposed to be a 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.
UBIWARE UBIWARE Abstract Abstract
ArchitectureArchitecture
• Vehicles Ontology• Drivers Ontology• Infrastructure Ontology• Data Sources Ontology• Logistics Ontology• Organizations/Products/Services Ontology• Behavioral Ontology• Monitoring/Diagnostics/Control/Maintenance
Ontology• Cooperative Scenarios Ontology• Policy Ontology (security, privacy, safety, economic, skills,
demands, environmental, operational, institutional, personal, cultural, etc.)
OWLOWL
Traffic & Mobility Ontology (TMO)Traffic & Mobility Ontology (TMO)Traffic & Mobility Ontology (TMO)Traffic & Mobility Ontology (TMO)
Managing Distributed Data SourcesManaging Distributed Data SourcesManaging Distributed Data SourcesManaging Distributed Data Sources
UBIWARE-Driven Traffic Management UBIWARE-Driven Traffic Management Systems’ IntegrationSystems’ Integration
UBIWARE-Driven Traffic Management UBIWARE-Driven Traffic Management Systems’ IntegrationSystems’ Integration
ConclusionConclusionConclusionConclusion• UbiRoad is an idea of UBIWARE-driven tool for semantic
management of content and capabilities relevant to dynamic, proactive, and cooperative resources in the domain of traffic management;
• The traditional agent technology is extended in UbiRoad by developing tools for semantic declarative programming of the agents, for massive reuse of once generated or designed information, plans and scenarios, for agent coordination support based on explicit awareness of each other’s actions and plans, and for enabling flexible re-configurable architectures for agents and their platforms applied for smart traffic domain;
• UbiRoad can be also used as a “glue” to connect various existing and future platforms, systems, applications, data sources and services operating in traffic management domain.
Contact: Vagan Terziyan ( http://www.cs.jyu.fi/ai/vagan/index.html )
E-mail: [email protected]
Extended version is to appear as journal paper:
Terziyan V., Kaykova O., Zhovtobryukh D., UbiRoad: Semantic Middleware for Cooperative Traffic Systems and Services, In: International Journal on Advances in Intelligent Systems, Vol. 3, No 34, 2010. (available in: http://www.cs.jyu.fi/ai/papers/IJAIS-2010.pdf )
Terziyan V., Kaykova O., Zhovtobryukh D., UbiRoad: Semantic Middleware for Context-Aware Smart Road Environments, In: G.O. Bellot, H. Sasaki, M. Ehmann and C. Dini (Eds.), Proceedings of the Fifth International Conference on Internet and Web Applications and Services (ICIW-2010), May 9-15, 2010, Barcelona, Spain, IEEE CS Press, pp. 295-302.