A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G...

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A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web Conference 2011
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Page 1: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data

Alasdair J G GrayUniversity of Manchester

Extended Semantic Web Conference 2011

Page 2: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

Semantic service architecture for mashups – A. J. G. Gray 2

Overview of the Talk• Motivation: Estuarine Flooding

• Semantic Sensor Web – SemSorWeb

– Requirements

– Architecture

• Semantic property documents

• Demo application: sample mashup

June 2011

Page 3: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

3Semantic service architecture for mashups – A. J. G. Gray

Motivation: Estuarine Flooding

The Solent• Strait separating the Isle of Wight from English

mainland• Busy shipping channel and ports• Complex tidal and wave patterns

– Two high tides

June 2011

Page 4: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

Semantic service architecture for mashups – A. J. G. Gray 4

The Solent

June 2011

Images: http://www.wikipedia.com/

Page 5: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

Semantic service architecture for mashups – A. J. G. Gray 5

Estuarine Flooding• Financial implications

– Damage– Loss of business

• Personal factors– Emotional impact

• Flood prediction– Locations– Severity

• Requires correlating– Sea-state data– Weather forecasts– Details of sea defences

• Response Planning– Evacuation routes– Personnel deployment– …

• Requires more data– Traffic reports– Shipping– …

June 2011

Image: http://www.metro.co.uk/

Page 6: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

Semantic service architecture for mashups – A. J. G. Gray 6

Flood defences data (database)

Meteorological forecasts

Flood Detection and Response“Detect overtopping events in the Solent region”

sea-level > sea-defence• Sea-level: sensors• Defence heights: databases

“Provide contextual information”• Web feeds• Other sources: maps, models

June 2011

Real-time sensor data

Wave,Wind,Tide

Other sources:Maps, models, …

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Semantic service architecture for mashups – A. J. G. Gray 7

1. Accurate characterisation of conditions that define an event

2. Correlation of data of differing modalities3. Integrating data from heterogeneous data

models4. Discovery of relevant data sources5. Presentation and control of information

June 2011

Sensor Web Requirements“Provide flood risk details of overtopping events in the Solent region with high wind speed observations”

“Provide flood risk details of overtopping events in the Solent region with high wind speed observations”

“Provide flood risk details of overtopping events in the Solent region with high wind speed observations”

“Provide flood risk details of overtopping events in the Solent region with high wind speed observations”

“Provide flood risk details of overtopping events in the Solent region with high wind speed observations”

“Provide flood risk details of overtopping events in the Solent region with high wind speed observations”

Page 8: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

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ApplicationServices

Semantic Registry

Semantic Integrator

Data Source

Connectivity Bridge

Applications

Concrete Resource

SemSorWeb ArchitectureInterfaces• Service Metadata• Registration• Discovery• Integration• Query• Data Access• Subscription• Notification

June 2011

Semantic Property

Document

Page 9: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

Semantic service architecture for mashups – A. J. G. Gray 9

Reconcile Terminology

SSN

SWEET

Service

Coastal Defences

Ordnance Survey

Additional Regions

Role

DOLCE UltraLite

Schema

FOAF

Upper

External

SSG4Env infrastructure

Flood domain

June 2011

Page 10: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

Semantic service architecture for mashups – A. J. G. Gray 10

Sea-State Sensor Data: Channel Coastal Observatory

43 sensors deployed around UK coast• Measuring

– Tides (7)– Waves (24)– Weather conditions (12)

• On and off shore• Bespoke hardware• Fixed functionality• Fixed data rate• Central data centre

June 2011

Page 11: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

Semantic service architecture for mashups – A. J. G. Gray 11

Publishing CCO Sensor Data• Service Description

– Streaming data service• Dataset Description

– Spatiotemporal data coverage

– Thematic data coverage

• Tide height

• Dataset schema description– envdata_sndownpier_tide

(ts:int, Observed:float, Tz:float, Hs:float, HMax:float, Tp:float)

<service:WebService rdf:about="#cco-ws”> <rdfs:label>Channel coastal observatory streaming data service</rdfs:label> <service:hasInterface rdf:resource="service:ssg4ePullStream"/> <service:hasDataset rdf:resource="#envdata_SandownPier_Tide"/> <service:hasDataset rdf:resource="#envdata_SandownPier_Met"/></service:WebService><sweet:Dataset rdf:about="#envdata_SandownPier_Tide"> <rdfs:label>envdata_SandownPier_Tide</rdfs:label> <service:coversRegion rdf:resource="&AdditionalRegions;SandownPierLocation"/> <time:hasTemporalExtent rdf:datatype="&registry;TemporalInterval”>[2005, NOW]</time:hasTemporalExtent>; <service:includesFeatureType rdf:resource="&CoastalDefences;Sea"/> <service:includesPropertyType rdf:resource="&CoastalDefences;TideHeight"/> <service:includesPropertyType rdf:resource="&CoastalDefences;WaveHeight"/> <service:hasSchema rdf:resource="#envdata_SandownPier_Tide_Schema"/></sweet:Dataset><schema:Stream rdf:about="#envdata_SandownPier_Tide_Schema"> <schema:extent-name>envdata_SandownPier_Tide</schema:extent-name> <schema:hasAttribute rdf:resource="#HMax"/> <schema:hasAttribute rdf:resource="#Tp"/></schema:Stream><schema:Attribute rdf:about="#HMax"> <schema:attribute-name>HMax</schema:attribute-name>

June 2011

Page 12: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

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Flood Web Application“Smashing it all together”

Severe Weather Alert!Gale force winds, Boscombe Bay

Page 13: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

User Login: Locate Relevant Data

• User logs in selecting:• Role• Region• Task

• Values parameterise registry lookups

Page 14: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

Semantic service architecture for mashups – A. J. G. Gray 17

Initial Display

June 2011

Inform user of potential overtopping events.

Pose query to integrated data source.

Page 15: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

Integrating Sensed and Stored DataWeb

ApplicationApplication

ServicesIntegrator DQP CCO-WS CCO-Stored

GET http://…/geojson?interval=xxx&resource=yyy&query=zzz

SPARQLExecuteFactory(integrator, query)

GenericQueryFactory(snee, pull, query)

EPREPR

URL

JSON

GET URL

SPARQLResultSet

GetStreamItem(int:<stream>, <pos>)

WebRowSet

SQLExecute(cco, query)

GetStreamItem(cco:<stream>, <pos>)

WebRowSet

GetStreamItem(snee:pull:<stream>, <pos>)

WebRowSetGetStreamItem(cco:<stream>, <pos>)

WebRowSet

GetStreamItem(snee:pull:<stream>, <pos>)

WebRowSet

GetStreamItem(cco:<stream>, <pos>)

WebRowSetJSON

GET URL

SPARQLResultSet

GetStreamItem(int:<stream>, <pos>)

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Semantic service architecture for mashups – A. J. G. Gray 19

Sensor Data

June 2011

Page 17: A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data Alasdair J G Gray University of Manchester Extended Semantic Web.

Semantic service architecture for mashups – A. J. G. Gray 20

Conclusions: Requirements revisited

1. Accurate characterisation of conditions that define an event– Declarative queries

2. Correlation of data of differing modalities– Query evaluation over streaming and stored

3. Integrating data from heterogeneous data models– Ontology-based access to streaming and stored data

4. Discovery of relevant data sources– Semantic registry

5. Presentation and control of information– Application services to support, e.g. smash-ups

June 2011

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Semantic service architecture for mashups – A. J. G. Gray 21

Acknowledgements• For more information:

http://www.semsorgrid4env.eu/• Demo application:

http://www.semsorgrid4env.eu/services/dynamic-demo

June 2011