Applications...Organisation 2 DB DB Web Application Web Application Web Application Semantic Web Services (WSMX/IRS-III) WS WS WS WS Services Abstraction Legacy Systems SWS 26 Generic

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1© Copyright 2010‐2016 Dieter Fensel, Ioan Toma, and Anna Fensel

Semantic Web ServicesSS 2016

Applications

Anna Fensel13.06.2016

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Where are we?

# Title

1 Introduction

2 Web Science + TourPack project (separate slideset)

3 Service Science

4 Web services

5 Web2.0 services

6 Semantic Web + ONLIM APIs (separate slideset)

7 Semantic Web Service Stack (WSMO, WSML, WSMX)

8 OWL-S and the others

9 Semantic Services as a Part of the Future Internet and Big Data Technology

10 Lightweight Annotations

11 Linked Services

12 Applications

13 Mobile Services

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Outline

• Motivation (Note: covered individually for each use case in the technical solution part)

• Technical solution– DIP

• Introduction and overview

• DIP Technical solution

• DIP demonstrators

– SUPER• Introduction and overview

• SUPER Technical solution

• SUPER methodology and demonstrators

• Demo/video

– Further specific use cases in projects• Transport: eFreight

• Manufacturing: MSEE

• Health: OntoHealth

– Current business trends• Microservices

• Blockchains

• Summary

• References 3

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DIPEU project on Data, Information, Process Interoperation with Semantic Web Services

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INTRODUCTION AND OVERVIEW

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DIP – Introductory Demo/Video

(http://www.sti-innsbruck.at/results/movies/dip-promotion-video )

~ 9 min

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DIP overview

Client

Services

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DIP overview

• Let’s consider a client that want to go on holiday.

• The client describes the holiday on her/his own terms

– Blue sky, white sand beach, clear water

• DIP platform acts as a broker

• To fulfil user request, DIP discovers, selects, composes and invoke services

• DIP provides personalized applications on the fly, from available services

Broker

Client

Services

• Available services: weather, hotel, travel services

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DIP objectives

• Combine Semantic Web technology with Web Services for Semantic Web Services

• Apply Semantic Web Services as an infrastructure in real world scenarios within an organization and between organizations and its customers/partners.

• Make Semantic Web Services technology a reality.

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DIP TECHNICAL SOLUTION

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DIP – Overall Framework

WSMO – Web Service Modelling Ontology

WSML – Web Service Modelling Language

WSMX – Web Service Execution Environment

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Objectives that a client wants toachieve by using Web Services

Provide the formally specified terminologyof the information used by all other components

Semantic description of Web Services: - Capability (functional)- Interfaces (usage)

Connectors between components with mediation facilities for handling heterogeneities

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Web Service Modeling Ontology (WSMO)

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Web Service Modeling Language (WSML)

• WSML Variants - allow users to make the trade-off between the provided expressivity and the implied complexity on a per-application basis

∩

∩

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Web Service Execution Environment (WSMX)

• … is comprehensive software framework for runtime binding of service requesters and service providers,

• … interprets service requester’s goal to– discover matching services,– select (if desired) the service that best fits,– provide data/process mediation (if required), and– make the service invocation,

• … is reference implementation for WSMO,• … has a formal execution semantics, and• … is service oriented, event-based and has pluggable

architecture – Open source implementation available through Source Forge,– based on microkernel design using technologies such as JMX.

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DIP Architecture

eBanking

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DIP Architecture – Components (1)

• Core component– Managing exchange of messages between components

• Communication manager– Handles all external communications

• Parser– Parse WSML content of incoming messages into WSMO4j

• Discovery– Find Web services matching supplied Goals

• QoS Discovery– Find and order service on the basis of QoS parameters

• Process Mediator– Handle mismatches client and service choreographies

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DIP Architecture – Components (2)

• Data Mediator– Handle mismatches between ontologies

• Choreography Engine– Execute behaviour described by a choreography

• Orchestration Engine– Execute the composition defined by an orchestration

• Resource Manager– Persist WSMO and operational data

• WSML Reasoner– At the heart of the architecture

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DIP Architecture - behavioural view

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DIP DEMONSTRATORS

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Emergency Weather Planning

• Winter 2003 -weather chaos in southern England due to 1cm of snow.

• People spent more than 20 hours blocked on motorways

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Emergency Weather Planning

• In an emergency situation, relevant information is needed to assist planning and decision making.

• Such information elements range from demographic data, weather forecasts and sensor data, available transportation means to the presence of helpful agents (people), etc.

• Different agencies own different relevant data and emergency related knowledge, which needs to be shared with the other partners during an emergency.

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eMerges

• eMerges is a decision support system that assists the Emergency Office in the tasks of retrieving, processing, displaying, and interacting with relevant information, more quickly and accurately

• Using eMerges governmental agencies are able to extend their knowledge about the emergency situation they are dealing with by making use of different functionalities based on data held by other agencies which otherwise might not be accessible to them or slow to obtain.

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eMerges Ontologies

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eMerges Ontologies

• Archetypes ontology provides very high level abstractions (e.g. container, house, agent, etc.) to which entities from the real world have to be mapped

• HCI ontology maps an object to its particular representation. For example some interfaces need “pretty names” selecting a feature to privileged display (e.g. on hovering on the object);

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Generic Application Structure

SWS SWS SWSSWS

SWS SWS SWS SWS

Presentation

IT systems

Organisation 1

IT systems

Organisation 2

DB DB

Web Application Web Application Web Application

Semantic Web Services (WSMX/IRS-III)

WS WSWS WS Services Abstraction

LegacySystems

SWS

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Generic Application Structure (1)

• Legacy System layer: consists of existing data sources and IT systems provided by each of the involved governmental parties

• Service Abstraction layer: exposes the functionalities of the legacy systems as Web services, abstracting from the hardware and software platforms of the legacy systems. Whenever a new service is available at this layer, it will be semantically described and properly linked to existing semantic descriptions.

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Generic Application Structure (2)

• Semantic Web Service layer: given a goal request this layer, will

• discover a candidate set of Web services,

• select the most appropriate,

• mediate any mismatches at the data, ontological or business process level, and

• invoke the selected Web services whilst adhering to any data, control flow and Web service invocation requirements

• Presentation layer: is a Web application accessible through a standard Web browser.

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eMerges User Interface

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eMerges Prototype Architecture

ViewEssexServices

BuddySpace Server

BuddySpace Services

Google Maps APIAJAX

AccommodationGoalEnvironment Goal

Presence Goal

ArchetypesArchetypes

SGIS-SpatialSGIS-Spatial

Em

ergency-GIS

-Dom

ainE

mergency-G

IS-D

omain

Em

ergency-GIS

-Goals

Em

ergency-GIS

-Goals

BuddySpace GoalsBuddySpace Goals

EnvironmentServices

Smart FilterServices

Google Web Toolkit

ME

T-O

ffice-Dom

ainM

ET

-Office-D

omain

ME

T-O

ffice-Goals

ME

T-O

ffice-Goals

Affordances = Goals

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(http://www.sti-innsbruck.at/results/movies/dip-eMerges/)

~ 10 min

DIP – eMerges Demo/Video

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SUPEREU project on Business Process Management that applied WSMO

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INTRODUCTION AND OVERVIEW

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SUPER – Introductory Demo/Video

(http://www.sti-innsbruck.at/results/movies/super-overview-movie/)

~ 3 min

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SUPER

• SUPER = Semantics Utilized for Process management within and between Enterprises (SUPER)

• The major objective of SUPER was to raise Business Process Management (BPM) to the business level, where it belongs, from the IT level where it mostly resides now.

• This objective requires that BPM is accessible at the level of semantics of business experts

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Business Process and Business Process Management

• “A business process or business method is a collection of related, structure activities or tasks that produce a specific service or product for a particular customer or customers.”

• “Business process management (BPM) is a management approach focused on aligning all aspects of an organization with the wants and needs of clients. It is a holistic approach that promotes business effectiveness and efficiency while striving for innovation, flexibility, and integration with technology”

http://en.wikipedia.org/wiki/Business_process_management

http://en.wikipedia.org/wiki/Business_process

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Business process in a company

• Business Processes– ... drive all company‘s

activities

– ... represent the core assets of a company

– ... give decision makers control over the company’s activities

– ... deliver services faster and more efficiently to the customer

– ... allow a company to react to changing market conditions

How do I get the big

picture of my

activities?

How do I communicate my

business process in a common fashion?

How do I keep track of all evolutions in my

business?

How do I make sure my businesses get more efficient and more profitables?

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The critical Business / IT Divide

Bridging Business-IT gap • reduce implementation costs • implementing the real requirements • faster implementation • less support requests • align implementation

Querying the Process Space • reduce costs • increase product quality • improve throughput times • less training • less support required • increase forecast accuracy

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SUPER approach to address the critical Business / IT Divide

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SUPER – How Semantics Help

• Semantic technology improves the utility of BPM by creating a semantic „glue“ between different layers, artefacts and models

• Links between business artefacts help to keep the „big picture“ and to improve the overall understanding of complex relationships and interdependencies

• By unifying the vocabulary and explicating differences in a structured way, semantics support the understanding of business people and technicians

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SUPER – Scientific objectives

• Construction and assessment of technological framework for Semantic Business Process Management (SBPM)

• Acquiring new generic languages suited for representation of processes, different process models and goal description having in mind all aspects of system behaviour (e.g. costs, dependencies, constraints, other data flows, time limitations)

• Creation of automated annotation techniques of already existing BPs, their fragments, IT components, etc

• Development of process query tools• Adjustment existing reasoners to the specific needs of SUPER• Elaboration of industrial-strength mediation procedures for

automated coupling between business and IT perspectives• Augmentation of SWS foundations on the basis of new experiences

obtained from their deployment to large-scale test environments

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SUPER – Technical objectives

• Building horizontal ontologies in aim to annotate both complete BPs and their fragments

• Assembling vertical ontologies for the chosen implementation domain

• Complete inventory of tools supporting every stage of SBPM

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SUPER TECHNICAL SOLUTION

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SUPER Ontology Stack

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WSMO

(http://www.wsmo.org)

Objectives that a client may have when consulting a Web Service

Semantic description of WebServices: • Capability (functional)• Non-functional properties• Interfaces (usage)

Connectors between components withmediation facilities for handling

heterogeneities

Provide the formallyspecified terminology

of the information usedby all other components

Web Service Modeling Ontology

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Business Domain Ontologies

• Business Functions Ontology – describes functions carried out within the company (e.g. marketing, finance, HR

• Business Process Resources Ontology – describes tangible and abstract resources required

• Business Roles Ontology – roles in the organization (e.g. Designer, Process Modeler, IT Expert, CEO)

• Business Modeling Guidelines Ontology – generic business policies and rules for domains like law, finance, etc.

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• Upper-Level Process Ontology (UPO) represent high-level concepts for Business Process Modelling. It is the top-level ontology in SUPER, used as the unifying ontology for other ontologies

• Business Process Modelling Ontology (BPMO) represent high-level business process workflows. BPMO has a bridging purpose between the business level and the execution level of processes

• Semantic Event-driven Process Chains notation Ontology (sEPC) aims to support the annotation (automatic or semi-automatic) of process models created with EPC tools


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• Semantic Business Process Modeling Notation Ontology (sBPMN) formalises the core subset of BPMN graphical notation

• Semantic BPEL Ontology (sBPEL) extends the BPEL ontology with a SWS based interaction model.

• Behavioral Reasoning Ontology (BRO) allows for reasoning over the behaviours of business processes using WSML axioms

• Events Ontology (EVO) is a reference model for capturing logging information utilised both by the execution engines (SBPELEE and SEE) and by the analysis tools


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SBP ModellingTool

Semantic BPELExecution Engine

Semantic Execution Environment

SBPComposition

SBP Discovery

BusinessProcessLibrary

ExecutionHistory

SemanticWebServices

SBP Mediation

SBP Monitoring & ManagementTool

SBP AnalysisTool

Transformation

SUPER Tooling

SUPER Repositories

SUPER Execution

SUPER Platform Services

Semantic Service Bus

Deployment

Reasoner

Data Mediation

Event Sink

Protocol Binder

SUPER Architecture

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• The central component of the architecture is the Semantic Service Bus (SSB) which provides a communication infrastructure for the SUPER components. Components communicate over the bus by sending and receiving normalized messages.

• SUPER Tooling comprises tools to support different phases of the Semantic Business Process (SBP) lifecycle:

– SBP Modeling Tool - used during the design time for SBP modeling– SBP Monitoring and Management Tool provides an up-to-date picture over the SBP and

Semantic Web services (SWS) execution state and provides simple management functionality

– SBP Analysis Tool is used for Process Mining and Reverse Business Engineering (RBE) purposes

• SUPER Repositories are used for storing artefacts which are produced, utilized and exchanged by the the SUPER components

– SBP Library stores artefacts which are created during process modelling, i.e. process models, process fragments, and process mediators

– SWS Repository stores artefacts related to Semantic Web services– Execution History stores the audit trail of the executed process instances

SUPER Architecture

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• SUPER Platform Services comprise the basic services which provide their functionalities for all SUPER tools and components

– Transformation Services translate among different formats of SUPER artifacts– SBP Mediation resolves heterogeneity problems between different business processes– Data Mediation is responsible for handling ontology level heterogeneitie– SBP Composition combines services and processes in order to implement activities of the

process, where activities can be implemented by one or more services– SBP Discovery finds SBP candidates fulfilling criteria specified as WSMO Goals– SBP Reasoner provides process behavioural logic-based inference engine capable of

reasoning with SUPER ontologies

• SUPER Execution comprise two execution environments/engines:– Semantic BPEL Execution Engine is a BPEL 2.0 compliant process engine, which

supports the extensions of BPEL4SWS and is integrated into the Semantic Service Bus (SSB)

– Semantic Execution Environment (SEE) enables discovery, selection, mediation, invocation and interoperability between Semantic Web services (SWS). SEE is a middleware operating on WSMO descriptions enabling flexible interaction between Service Requesters and Service Providers

SUPER Architecture

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SUPER METHODOLOGY AND DEMONSTRATORS

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SUPER Methodology Framework

Text Text

Text

Semantic Business Process

Analysis


Execution


Configuration

Strategic Semantic Business Process Management

Ontological Foundation


Modelling

The SUPER methodology is a set of phases, methods and techniques to perform activities using SUPER technologies. Like a traditional BPM methodology, the SUPER methodology owns a proper business process “life cycle”, that is enriched with the semantic connotation of the overall SUPER framework.

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Semantic Business Process Modelling

• Semantic Business Process Modelling (SBPM) is the first step of the SUPER Life Cycle

• SBPM is concerns with a streamlined, comprehensive, and easy- to-use representative model of the real enterprise business processes

• Development of the Business Processes

Model based on the Business Process

Modelling Ontology (BPMO)

• Use of a Semantic Process Modelling Environment

– WSMO Studio

– Integrated BPMO Editor

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Example: TID Prototype

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TID Modelling – Demo/Video

(http://www.sti-innsbruck.at/results/movies/tid-modeling-tool-developed-super )~ 5 min

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Benefits of SUPER Modelling

• Business Process Modelling Notation (BPMN) independence (BPMO representation)

• Discovery of existing Business Processes exploiting the semantic information– Search on specified Business Function, Domain and Patterns

– Search on specified Business Goals, KPIs and Business Rules

• Automatic validation and simulation of the BPM

• Better readibility of models through a clear semantic

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BPMO Editor Demo/Video

(http://www.sti-innsbruck.at/results/movies/bpmo-editor-part-wsmostudio-developed-super )

~ 10 min

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Semantic Business Process Configuration

• Semantic Business Process Configuration (SBPC) is the second phase of the SUPER SBP Life Cycle. It uses the outputs of the SBP Modeling phase and provides inputs for the third phase, the Semantic Business Process Execution

• During this phase Modelled Business

Processes are configured

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Semantic Business Process Configuration steps:

1. Derive sBPEL from BPMO

This step enables the translation from the BPMO instance (coming from the SBP Modeling phase) to an sBPEL ontology

2. Search for possible SWS

This step consist in discovery of SWS. Even if the services will be executed in the SBP Execution phase, an early service discovery could be extremely useful to reduce the effort of the service selection before the execution

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3. Examine potential data mismatches

In this step data have to be examined to identify potential data mismatches.

4. Define data mappings and mediatiors

If potential data mismatches are identified in the previous step interface mappings and data mediators have to be created

5. Validate and refine the process

In this step the process is validate and potentially refined. The validation is seen as a sort of “compiler” that checks the correctness of the semantic process description before the execution of the process.

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Semantic Business Process Execution

• Modeled and configured Semantic Business Processes are executed

• Execution history for SBP Analysis is produced

• Automates business activities

• Minimizes time-to-offer

• Supports– Execution of semantic BPEL processes

(BPEL4SWS)

– Discovery and execution of Semantic Web Services (SWS)

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Semantic Business Process Execution Scenario

After the process execution has been finished, the result is returned to the user.66

SUPER RepositoriesSUPER Execution Environment

SemanticWeb

Services

Achieve Goal

Discover Service

6

2

4

35

1

Return result to engine

Semantic BPEL

Execution Engine

(SBPELEE)

Semantic Execution

Environment(SEE)

Semantic Web Service(SWS)

SUPER Tooling

MonitoringTool

ExecutionHistory

A user initiates the semantic BPEL process by sending a service request through the Semantic Service Bus to SBPELEE.

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Invoke Service

Return ResultRequest Service

Semantic Service Bus(SSB)

SBPELEE delegates the invocation of SWS to SEE by passing the WSMO Goal to it.

22 SEE queries the SWS repository to discover the desired SWS.33 SEE invokes the selected SWS.44

SEE returns the result of “Achieve Goal” to SBPELEE.55During the execution, execution events are published to Execution History for persistence and to the Monitoring Tool for tracking process executions.

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Semantic Business Process Execution Scenario

• Step 1: A user initiates the semantic BPEL process by sending a service request through the Semantic Service Bus to Semantic BEPEL Execution Engine (SBPELEE ).

• Step 2: SBPELEE delegates the invocation of SWS to Semantic Execution Environment (SEE) by passing the WSMO Goal to it.

• Step 3: SEE queries the SWS repository to discover the desired SWS.

• Step 4: SEE invokes the selected SWS.

• Step 5: SEE returns the result of “Achieve Goal” to SBPELEE.

• Step 6: After the process execution has been finished, the result is returned to the user.

• During the execution, execution events are published to Execution History for persistence and to the Monitoring Tool for tracking process executions.

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tom

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com

Sys

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Gro

up

Cus

tom

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Sal

esB

illin

gS

upp

lier

Sup

plie

rs

No

Example: Nexcom Customer Order Management Process

SupplierSupplierSupplier

1 6

2 5

1 6

Supplier exposes its process as SWS.

Nexcom process is deployed as a semantic BPEL process

Customer uses a client application to start the Nexcom process

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Benefits from SUPER SBP Execution

• Nexcom Use case requirements addressed by the SUPER SBP Execution phase– Supplier matching supported by Semantic Web Service

discovery and invocation from within semantic business processes

– Allows for more flexible traffic routing

– Automates supplier matching and traffic routing process taking into account all existing suppliers

– Minimizes time-to-offer

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SBP Execution Demo/Video

(http://www.sti-innsbruck.at/results/movies/sbp-execution-developed-in-super/)

~ 11 min

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Semantic Business Process Analysis

• Analysis of executed processes

• Support of various analysis goals– Overview over process usage

– Detect business exceptions

– Detect technical exceptions

– Compare As-Is with To-Be

• Analysis methods– Semantic Process Mining

– Semantic Reverse Business Engineering


AnalysisSemantic

Business Process Modelling


Execution


Configuration

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Semantic Reverse Business Engineering (RBE)

• Scenario based analysis with predefined content to ensure continuous business improvement

– As-Is-AnalysisProvide details and statistics about executed processes

– Exception analysisFocus on business exceptions (deviation from the standard processes)

– Standardisation & HarmonisationCheck compliance of processes between organisational units or with predefined guidelines

– User & Role analysisCheck user and role behaviour and authorizations

How do I get the relevant information

to redesign and improve my business

processes?

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7373

Business Question Repository

Business Function OntologyRBE Ontology

Sales Process

ExceptionAnalysis

Scenario Based Analysis

How many sales orders were cancelled?

Which sales orders are locked for further processing?

How many sales orders are delayed?

I am interested in all exceptions of

the sales process

ExecutionHistory

Repository

Analysis Results

Where are the bottlenecks in the sales process?

Process Mining

Only business questions semanticallyassigned to Exception Analysisand to the Sales Processare to be selected

Business questions are executed on the Execution History Repository(log file) either directly or through Process Mining

The query results are formatted and aggregated for the business user

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• The business user who wants to perform a specific analysis needs to select the relevant business questions (BQ). If we had just a few questions, this operation could be performed manually. But since we deal with a rich set of BQs, we need a smarter way to select them.

• Therefore the business user has just to select the relevant concepts within the SUPER ontologies (e.g., he wants to perform an exceptional analysis, within the sales processes)

• In this way, the analysis tool is able to automatically select the BQs annotated with those concepts.

• These Business Questions are either directly executed on the execution history repository or “brought” to the process mining environment.This is dependent on the question. Some business questions can directly be answered (RBE approach), some business questions can only be answered using process mining.

• Once the respective queries (either triggered by the Business Question repository directly or by the Process Mining environment) are executed on the Execution history repository the query results are formatted and aggregated for the business user.

Scenario Based Analysis

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Analysis Results

Successful SalesOrders

Cancelled SalesOrders

► Get overview about system usage► Find out exceptions within process flow► Check conformance to defined Process model► Find bottlenecks► Get basis information to apply 6-sigma methodology

How many sales orders were cancelled?

Which sales orders are locked for further processing?

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SBP Analysis Demo/Video

(http://www.sti-innsbruck.at/results/movies/sbp-analysis-developed-in-super/ )

~ 11 min

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DEMO/VIDEO

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SUPER Demo/Video

http://www.sti-innsbruck.at/results/movies/super-integrated/~ 20 min

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FURTHER SPECIFIC USE CASES IN PROJECTS

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Transport: e-Freight

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Manufacturing: MSEE

The MSEE 2015 Vision stems upon two complementary pillars, which have characterized the last 10 years of research about Virtual Organizations, Factories and Enterprises: Service Oriented Architectures (SOA) and Digital Business Ecosystems (DBE).

• The first Grand Challenge for MSEE project is to make SSME (Service Science, Management and Engineering) evolve towards Manufacturing Systems and Factories of the Future, i.e.:

– from a methodological viewpoint to adapt, modify, extend SSME concepts so that they could be applicable to traditionally product-oriented enterprises;

– from an implementation viewpoint to instantiate Future Internet service oriented architectures and platforms for global manufacturing service systems.

• The second Grand Challenge for MSEE project is to transform current manufacturing hierarchical supply chains into manufacturing open ecosystems, i.e.:

– to define and implement business processes and policies to support collaborative innovation in a secure industrial environment;

– to define a new collaborative architecture for ESA, to support business-IT interaction and distributed decision making in virtual factories and enterprises.

MSEE (Manufacturing Service Ecosystem) was a research project funded by EU, 2011-2014.

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Health: OntoHealth - Goals

• Conceptualize and implement a workflow-enabled IHE * -based trans-institutional information system architecture

• Determine and categorize functional respectively informational needs as well as non-functional requirements of health care professionals

• Design and implementation of a semantic service grid for Electronic Health Records based on the information system architecture

• Identify and prototypically implement selected common clinical services for the semantic service grid

• Evaluate all concepts with regard to their usefulness and ability to support health professionals

* IHE = Integrating Healthcare Enterprise

OntoHealth is a research project funded by FWF (Austrian Service Fund), 2013-2017.

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Health: OntoHealth – Expected Results

• an IHE-based information system that allows native, dynamic workflow support regardless of the type of the clinical workflow;

• a user-centered, workflow-oriented and (semi-) formal model to describe functional/informational needs as well as additional non-functional requirements to support automated, semantics-based service orchestration in a clinical context;

• a semantic-services-enabled EHR (semantic services grid) framework that allows for the (semi-) automatic, dynamic orchestration of services along clinical workflows and problems;

• selected common services in the context of diabetes

OntoHealth is a research project funded by FWF (Austrian Service Fund), 2013-2017.

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CURRENT BISINESS TRENDS -MICROSERVICESFor this part, follow presentation of S. Newman: “Principles of Microservices” (2015), http://www.slideshare.net/spnewman/principles-of-microservices-velocity

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CURRENT BISINESS TRENDS -BLOCKCHAINSFor this part, follow presentation of J. Domingue (2016): “Blockchains a new platform for semantically enabled transactions”, http://www.slideshare.net/johndomingue/blockchains-a-new-platform-for-semantically-enabled-transactions-public

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SUMMARY

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DIP achievements

• DIP provides an Open Source Architecture for Semantic Web Services– DIP Architecture, DIP API, WSMO4J

• DIP provides a set of comprehensive tools– WSMX, IRS-III, WSMO Studio, Hybrid Reasoning tool

• Real Use Case Implementations have been developed in DIP– Diverse scenarios e.g. eMerges for emergency weather planning

• Standards Impact– W3C Member Submissions, OASIS

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SUPER achievements

• SUPER bridges the gap between Business experts and IT experts in setting up new products and processes.

• SUPER provides a new set of integrated BPM tools for – Modeling– Automated Composition of Processes

• SUPER uses Semantics to gain a new level of automation for the modeling and configuration of business processes.

• SUPER tools are based on open standards to guarantee independence from particular vendors.

• SUPER enables lower development costs and short time-to-market for new services and products.

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Further Projects and Current Trends

• Semantic Web Services have been applied in a large number of areas: manufacturing, health, transport…

• Trends towards fragmentation of labor –technology is following, opening new potentials for Semantic Web Services– Microservices as paradigm

– Blockchains as collaboration, payment and trust solution

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REFERENCES

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References

• Mandatory reading:

• Referenced materials (movies, slideshares) in this presentation

• E-Freight: http://www.inlecom.com/efreight-project-page

• MSEE: http://www.msee-ip.eu

• OntoHealth: http://ontohealth.org

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References

• Wikipedia and other links:– http://en.wikipedia.org/wiki/Business_Process_Modeling_Notation

– http://en.wikipedia.org/wiki/Semantic_Web_Services

– http://en.wikipedia.org/wiki/Business_process

– http://en.wikipedia.org/wiki/Business_process_management

– http://en.wikipedia.org/wiki/WSMO

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Next Lecture

# Title

1 Introduction

2 Web Science + TourPack project (separate slideset)

3 Service Science

4 Web services

5 Web2.0 services

6 Semantic Web + ONLIM APIs (separate slideset)

7 Semantic Web Service Stack (WSMO, WSML, WSMX)

8 OWL-S and the others

9 Semantic Services as a Part of the Future Internet and Big Data Technology

10 Lightweight Annotations

11 Linked Services

12 Applications

13 Mobile Services

94

Questions?

Documents

Applications...Organisation 2 DB DB Web Application Web Application Web Application Semantic Web Services (WSMX/IRS-III) WS WS WS WS Services Abstraction Legacy Systems SWS 26 Generic