Seman9c!Interoperability,! Whatis!missing!to! desilo!the ...docbox.etsi.org/Workshop/2014/201407_IOTWORKSHOP/... · Utility Service Feedback Service Delivery Service Visualisation

© Copyright 2013 Digital Enterprise Research Ins9tute. All rights reserved.

www.Insight-‐centre.org

Dr. Mar9n Serrano Adjunct Lecturer, Research Fellow, Project Leader

Seman9c Interoperability, What is missing to desilo the use cases

www.openiot.eu

Insight Centre for Data Analytics 2

NUI Galway - Introduction

National University of Ireland Galway

Leaders in semantic web:   Research Publications > 1100   Participation in 17 standardisation groups (i.e. W3C, OASIS…)   Approx. 140 members from 30 nations.

Core Industrial Partners:   MNC’s: Cisco, HP, Avaya, Ericsson…   SME’s: Storm, Celtrak, OpenLink……   Research: FBK

Research Fund Sources:   SFI, EU Framework, Enterprise Ireland, Direct Industry

Largest Research Institute in Semantic Web (former Digital Enterprise Research Institute) The INSIGHT Centre for Data Analytics

www.insight-centre.org

Galway

Dublin

Cork

The

Centre for Data Analytics


Content

I.  Introduc9on IoT Silos and Use Cases

II. Internet of Things Stack Interoperability: beyond IoT Silos and Seman9c Data

III. Seman9c Interoperability IoT Full stack Deployment – Horizontal Approach

IV. Open Source IoT Reference Framework OpenIoT and If I have 9me... Example

Agenda

www.openiot.eu

EU DG Connect – ETSI / Standards for an Internet of Things

Enabling networked knowledge 4

Internet Connected Objects, Web of Things, Internet of Everything… Interconnection of everyday objects with self connectivity and management features to offer unlimited service capabilities. Auto-ID Center, founded in 1999 (MIT)

Internet of Things – The Theory EU

DG Connect – ETSI / Standards for an Internet of Things www.openiot.eu


IoT: One Paradigm, Different Visions

Diagram adapted from L. Atzori et al., 2010, “the Internet of Things: a Survey”

Services

www.openiot.eu

*MSerrano 2013 OpenIoT

Applications

Virtual Infrastructures


Knowledge-enabled Devices

Intelligent Objects


Internet of Things – The Practical Side (1) EU

DG Connect – ETSI / Standards for an Internet of Things


Internet of Things – The Practical Side (2) EU



IoT – Interoperability

IERC AC04: Service openness and interoperability issues/semantic interoperability

IERC AC4 IoT Standards

Internet of Things Full Stack(s) Deployment

www.openiot.eu www.openiot.eu



IoT Challenges – Review Part 1 www.openiot.eu


•  Numbers of devices and different users and interactions required. Scalability

•  Heterogeneity of enabling devices and platforms Interoperability

•  Low power sensors, wireless transceivers, communication and networking e.g. M2M.

Efficiency in communications

•  Huge volumes of data emerging from the physical world, Sensors, ICO, Devices, appliances and new communications things

Processing and mining the data


IoT Challenges – Review Part 2 www.openiot.eu


•  Providing secure access and preserving and controlling privacy.

Privacy and Security

•  Naming, Resolution and Announcement Global access and discovery

•  addressing mobility, ad-hoc access and service continuity Ubiquity

•  Freshness of the data and supporting temporal requirements in accessing the data Timeless of Data


Linked data and interoperability

www.openiot.eu www.openiot.eu Semantic Interoperability


Linked Data and

Interoperability

Linked Data is an accepted best practice to exchange information in an interoperable and reusable fashion.

Many different communities not only from the Internet use Linked Data to provide and exchange interoperable information.

In the last 10 years we have seen methods mainly for improving interoperability at ontology (schema) level.

Today’s semantic web uses extensively Linked Data to enable interoperability at Data Level.


Challenges for Interoperability •  Basic description frameworks,

•  Alignment between different models and frameworks.

•  Semantics are the starting point,

•  data/services from different frameworks and providers can be interchanged

•  Reasoning and interpretation of data is required for automated processes.

•  Human minimised intervention.

www.openiot.eu www.openiot.eu Semantic Interoperability



IoT Stack What is expected?

•  Unified access to data by unified descriptions •  Deriving additional knowledge (data mining) •  Reasoning support and association to other entities

and resources •  Self-descriptive data an re-usable knowledge •  In general: Large-scale platforms to support discovery

and access to the resources, to enable autonomous interactions with the resources,

•  Provide self-descriptive data and association mechanisms to reason the emerging data and to integrate it into the existing applications and services.

www.openiot.eu

IoT Week 2014 / Internet of Things Full Stack Deploym

ent DG Connect – ETSI / Standards for an Internet of Things


Seman@c Technologies and IoT

•  There are already Sensor Web Enablement (SWE) standards developed by the Open Geospatial Consortium (OGC) that are widely adopted.

•  World Wide Web (W3C) Global Semantics Sensor Network recommendations (SSN-XG), extensively used

•  While such frameworks provide certain levels of interoperability, semantic technologies are seen as key enabler for integration of IoT data and and existing business information systems.

•  Semantic technologies provide potential support for: –  Interoperability and machine automation –  IoT resource and data annotation, logical inference, query and

discovery, linked IoT data

www.openiot.eu



www.openiot.eu www.openiot.eu Building IoT Interoperability


Metadata standards: Dublin Core, FOAF, SSN and OpenIoT (+ domain specific)

Existing vocabularies: NCI, SSN-XG

Relationships: Linked Data

SKOS closeMatch, exactMatch, broadMatch,

narrowMatch, relatedMatch

Other knowledge base and ontologies DBPedia, Geonames

owl:sameAs, rdf:seeAlso

Device standards: IPv6, 6Lowpan, IETF CoAP


Possible Solutions The semantic Web has faced this problem earlier.

–  Proposed solution: •  Using machine-readable and machine-interpretable

meta-data: Linked Data e.g. RDF, OWL

•  Well defined standards and description frameworks:, SPARQL and LOD, Dbpedia.

•  Variety of open-source, commercial tools for creating/managing/querying and accessing semantic data

Virtuoso, Jena, and Sesame…

Semantic Interoperability www.openiot.eu www.openiot.eu



•  Application oriented descriptions and terminology. Business World

•  Often no general agreement on annotating data. User Application

•  Data integration, fusion and data access issues. Utility Access

•  Limited reasoning based on the content and context data. Virtualized World

•  Limited interoperability in data and resource/device description level Real/Physical World

IoT Stack Conceptual Approach

The current ICT systems often rely on binary or syntactic data models which lack of providing machine interpretable meanings to the data, at different levels data issues are as follow:



Business Process Management Exploring Data

Metadata Virtual En9ty Readings

Triple Store Iot Service RDF Readings

Pull / Push Mechanisms

Data Readings

Data Sources Physical / Virtual

DATA

ICO’s Interface(s)

Visual And Developing Interfaces

Linked Data Middleware

Mashup Builder

Streaming Data Engine

Monitored Information Data

Visualization

Data Acquisition

Service Provisioning

Virtual / Physica Sensorsl

Cloud Processing & Storage

IoT Full stack for Service Openness and Interoperability


www.openiot.eu

*Created by MSerrano 2012 OpenIoT

APIs / GUIs DG Connect – ETSI / Standards for an Internet of Things


Semantic Web Stack – as Reference Example EU



IoT Reference Framework Capabili@es

IoT PlaZorm Architecture

& Capabili9es Deployment &

Registra9on Sensor/ICO

Dynamic Discovery Sensor/ICO

Visual IoT Service Defini9on & Deployment

Device Registra9on and Annota9on

IoT Service Visualiza9on

Resource Management and Op9miza9on



IoT Reference Model (ITU-‐T Y.2060)

Source: ITU-‐T Y.2060, 2012

Management Capabili9es

Security Capabili9es

Applica9on Layer

Network Layer

Device Layer

Service Support And Applica9on Support Layer

IoT Applica9ons

Networking Capabili9es

Transport Capabili9es

Device Capabili9es

Gateway Capabili9es

Generic Support Capabili9es

Specific Support Capabili9es

Specific Managem

ent Capabili9es

Generic Managem

ent Capabili9es

Specific Security Capabili9es

Generic Security Capabili9es



!

IoT Architecture Reference Model (IoT-‐A ARM)

Source: EU IoT-‐A Project

Business Process Management Exploring Data

Metadata Virtual En9ty Readings

Triple Store Iot Service RDF Readings

Pull / Push Mechanisms

Data Readings

Data Sources Physical / Virtual

APIs / GUIs DG Connect – ETSI / Standards for an Internet of Things


SOA Approach to existing standards www.openiot.eu

6LowPan

COAP

REST

MQTT

IPV6

SSN-‐XG


Web Sockets

Virtuoso OSV7

OWL

JBOSS

JAVA

Hackfest & Interoperability events

1 track on Interoperability 4 Main Challenges -‐ 29 Hackers -‐ 10+ Support researchers & Technical IoT members -‐ 2 Chair / Coordinators

www.openiot.eu

Semantic Interoperability Exercise/Experience www.openiot.eu


The Dimensions of Interoperability

Figure 1. The Dimensions of Interoperability

Technical Interoperability

Syntactical Interoperability

Semantic Interoperability

Organisational Interoperability

DG Connect – ETSI / Standards for an Internet of Things www.openiot.eu www.openiot.eu

Inspira@on Interconnec9ng IoT based projects to aiming to develop an Interoperable environment ge`ng rid of informa9on and system architecture silos. Target User As our project heading highlights, the aim of our project is to make sensors go social. Allow users to develop applica9ons and services based on integra9on of heterogenous sensor plaZorms.


The Dimensions of Interoperability DG Connect – ETSI / Standards for an Internet of Things


Scenario Integra9ng HOPU and EAR-‐IT and OpenIoT plaZorms, we envision a following service. Social Finder Locate users and friends that are within a given vicinity using specific user preferences e.g. country, topic of interest etc. IoT Big Brother Further to loca9ng users near by, loca9ng near by audi sensors (EAR-‐IT) and listen to live feeds from the chosen loca9on.


OpenIoT Requirements and use Cases

IOTA ARM

Cloud Computing Concepts

Background Platforms (GSN, LSM,AspireRFID) and Standards (W3C

SSN)

Engineering Strategies

OpenIoT Concrete

Architecture

As Example: OpenIoT Platform Overview www.openiot.eu www.openiot.eu



High Level Reference Framework for Interoperability DG Connect – ETSI / Standards for an Internet of Things



Awarded OpenIoT Platform more about... www.openiot.eu

http://www.openiot.eu

www.openiot.eu

2013

OpenIoT Architecture An Open Source Cloud Solution for the Internet of Things

http://www.blackducksoftware.com/news/releases/



!

Reference Architecture Components

Source: EU OpenIoT Project



!

Reference Architecture Implementa@on

Source: EU OpenIoT Project



2

3

4

5

6

7

9

1

8

10

End User Request

Discovery Services

Query Content

Collect Content / Mobile

Sensor Configuration

Content Adaptation

Utility Service Feedback

Service Delivery

Service Visualisation

Get Visualisation

11 Data Presentation

12 Utility Metrics / Services Report

0 Setup and Management

IoT Service LifeCycle

!

Security (CAS)

Physical

Technology P

lane

Xively (Cosm - Pachube)

CoAP (Sensors)

MQTT

Request Definition (IDE)

Service D

elivery &

Utility M

anager

Request Presentation (IDE)

Scheduler

Configuration/

Monitor

Console (ID

E)

Utility

Application P

lane

Cloud DataBase (LSM-Light)

Discovery Services

X-GSN X-GSN

Virtualized P

lane

User User

2

4

5

7

12

6

8

9

10

11

3

InfoSphere Streams

1

Others

X-GSN …

Cloud Pub/Sub

5’

Pub/Sub Enabled

Mobile Broker

(Sensors)

0

0’’

0’’

12

5’’

0’

0’

X-GSN

0’

www.openiot.eu


Reference Framework for Interoperability

Applica9ons / Services

IoT Domain a IoT Domain n



Thanks for your Acen9on!

www.openiot.eu

© Copyright 2013 Digital Enterprise Research Ins9tute. All rights reserved.

www.Insight-‐centre.org

Dr. Mar9n Serrano Adjunct Lecturer, Research Fellow, Project Leader

Seman9c Interoperability, What is missing to desilo the use cases

www.openiot.eu

Documents

Seman9c!Interoperability,! Whatis!missing!to! desilo!the ...docbox.etsi.org/Workshop/2014/201407_IOTWORKSHOP/... · Utility Service Feedback Service Delivery Service Visualisation