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Date: 9/11/2010
Enabling Ontology-based Access to
Streaming Data Sources
Jean-Paul Calbimonte1, Oscar Corcho1, Alasdair J G Gray2
1Ontology Engineering Group. Departamento de Inteligencia Artificial.
Facultad de Informática, Universidad Politécnica de Madrid.
Campus de Montegancedo s/n. 28660 Boadilla del Monte. Madrid. Spain
jp.calbimonte@upm.es;ocorcho@fi.upm.es
2School of Computer Science, The University of Manchester,
Oxford Road, Manchester M13 9PL, United Kingdom
a.gray@cs.man.ac.uk
9th International Semantic Web Conference ISWC 2010
Shanghai, China
Outline
• Introduction & Motivation
• Background
• Approach
• Mapping Streams to Ontologies
• SPARQL Stream
• Query Translation
• Example
• Future work
• Conclusions
2Enabling Ontology-based Access to Streaming Data Sources
Introduction & Scope
3
• Streaming Data
(t9, a1, a2, ... , an)
(t8, a1, a2, ... , an)
(t7, a1, a2, ... , an)
...
...
(t1, a1, a2, ... , an)
...
...
Streaming
Data
• Continuously appended data
• Potentially infinite
• Time-stamped tuples
• Continuous queries
• Changes of values over time
• Latest used in queries
• Ubiquitous data capture
• Data processing
• Cheap
• Noisy, Unreliable
• Low computational, power resources, storage
• Sensor technologies
Enabling Ontology-based Access to Streaming Data Sources
• Applications in security surveillance, healthcare provision, environmental
monitoring, you name it.
Motivation
4Enabling Ontology-based Access to Streaming Data Sources
Emergency
planner
Flood risk alert:
South East England
...
...
...
Real-time
data
Meteorological
forecasts
Flood defences
data
Other sources
• Detect conditions likely to cause a flood
• Present data model in terms of the user domain: e.g. Flood risk assessment
Example:
• “provide me with the wind speed observations average over the last minute in
the Solent region, if it is higher than the average of the last 2 to 3 hours”
Wave,
Wind,
Tide
Motivation
5Enabling Ontology-based Access to Streaming Data Sources
• Ontologies can be used as such a common model
• Need to provide solution for:
• Establish mappings between ontological models and
streaming data source schemas
• Access streaming data sources through queries over
ontology models
Background – Ontology-based Data Access
6Enabling Ontology-based Access to Streaming Data Sources
Ontology-based
Data Access
R2O + ODEMapster
D2RQ
SquirrelRDF
RDBToOnto
Relational.OWL
SPASQL
Virtuoso
MASTRO
Query/Data
Transformation
Ontological
Models
Relational
Schemas
Mapping
Document
Generate Semantic Web content from existing relational data sources
e.g. SPARQL
e.g. SQL
Background – Querying Relational Data Streams
7Enabling Ontology-based Access to Streaming Data Sources
Streaming Data
STREAM
Aurora/Borealis
Cougar
TinyDB
SNEE
e1
e2e1
e2 e3
e2e1 e3
e1
e4
t t+1 t+2 t+3 t+4 t+5
WINDOW [tnow TO tnow-2] SLIDE 1
Transform infinite sequence
of tuples to bounded bag
Window-to-Stream operators:
convert stream of windows to
stream of tuples
...
...
CQL
SNEEql
TinyQL
Query engines
Query languages
Event Streams
Acquisitional Streams
Ontology-based Streaming Data Access
8Enabling Ontology-based Access to Streaming Data Sources
Query
translation
Query Evaluator
Client
Stream-to-Ontology
mappings
SPARQLSream (Og)
[tuples]
Stream
Engine (S3)
Ontology-based Streaming Data Access Service
Relational
DB (S2)
Sensor
Network (S1)
RDF Store
(Sm)
SPARQLSream algebra(S1 S2 Sm)
Data
translation
q
[triples]
SNEEql
Ontology-based Streaming Data Access
9Enabling Ontology-based Access to Streaming Data Sources
• Mappings from relational streams to ontological concepts
• Extend stored data schema mappings
• Study translation semantics
• Provide with a stream query language at ontological level
• Use notion of RDF stream
• Extend SPARQL
• Window operator, window-to-stream operators
SPARQLStream
10Enabling Ontology-based Access to Streaming Data Sources
• RDF-Stream ...
...
( <si-1,pi-1, oi-1>, ti-1 ),
( <si, pi, oi>, ti ),
( <si+1,pi+1, oi+1>, ti+1 ),
...
...
Example:
• “provide me with the wind speed observations over the last minute in the Solent Region ”
cd:Observation
xsd:double
cd:observationResult
...
...
( <ssg4e:Obs1,rdf:type, cd:Observation>, ti ),
( <ssg4e:Obs1,cd:observationResult,”34.5”>, ti ),
( <ssg4e:Obs2,rdf:type, cd:Observation>, ti+1 ),
( <ssg4e:Obs2,cd:observationResult,”20.3”>, ti+1 ),
...
...
STREAM
<http://www.semsorgrid4env.eu/ccometeo.srdf>
SPARQLStream
11Enabling Ontology-based Access to Streaming Data Sources
Example:
• “provide me with the wind speed observations over the last minute in the Solent Region ”
cd:Observation
xsd:double
cd:observationResult
PREFIX cd:
<http://www.semsorgrid4env.eu/ontologies/CoastalDefences.owl#>
PREFIX sb: <http://www.w3.org/2009/SSN-
XG/Ontologies/SensorBasis.owl#>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
SELECT ?windspeed ?windts
FROM STREAM <http://www.semsorgrid4env.eu/ccometeo.srdf>
[ NOW – 1 MINUTE TO NOW – 0 MINUTES ]
WHERE
{
?WindObs a cd:Observation;
cd:observationResult ?windspeed;
cd:observationResultTime ?windts;
cd:observedProperty ?windProperty;
cd:featureOfInterest ?windFeature.
?windFeature a cd:Feature;
cd:locatedInRegion cd:SolentCCO.
?windProperty a cd:WindSpeed.
}
cd:Feature
cd:featureOfInterest
cd:Property
cd:observedProperty
cd:locatedInRegion
cd:Region
Ontology-based Streaming Data Access
12Enabling Ontology-based Access to Streaming Data Sources
Query
translation
Query Evaluator
Client
Stream-to-Ontology
mappings
SPARQLSream (Og)
[tuples]
Stream
Engine (S3)
Ontology-based Streaming Data Access Service
Relational
DB (S2)
Sensor
Network (S1)
RDF Store
(Sm)
SPARQLSream algebra(S1 S2 Sm)
Data
translation
q
[triples]
SNEEql
S2O Mappings
13Enabling Ontology-based Access to Streaming Data Sources
• R2O Mappings
• Schema descriptions (probably mostly unused)
<has-table name="raingauge">
<keycol-desc name="id"/>
<keycol-desc name="ts"/>
<nonkeycol-desc name="level"/>
</has-table>
<has-stream name="windsamples" streamType="push">
<keycol-desc name="id"/>
<keycol-desc name="ts"/>
<timestamp-desc name="ts" />
<nonkeycol-desc name="speed"/>
<nonkeycol-desc name="temperature"/>
<nonkeycol-desc name="direction"/>
</has-stream>
S2O Mappings
14Enabling Ontology-based Access to Streaming Data Sources
<conceptmap-def id="Observation_wind"
name="http://www.semsorgrid4env.eu/ontologies/CoastalDefences.owl#Observation"
virtualStream="http://www.semsorgrid4env/ccometeo.srdf">
<uri-as>
<operation oper-id="concat">
<arg-restriction on-param="string1">
<has-value>http://www.semsorgrid4env.eu/data#ObservationWind</has-value>
</arg-restriction>
<arg-restriction on-param="string2">
<has-column>meteostream.DateTime</has-column>
</arg-restriction>
</operation>
</uri-as>
<attributemap-def
name="http://www.semsorgrid4env.eu/ontologies/CoastalDefences.owl#observationResult"
dataType="xsd:double">
<selector>
<aftertransform>
<operation oper-id="constant">
<arg-restriction on-param="const-val">
<has-column>meteostream.Hs</has-column>
</arg-restriction>
</operation>
</aftertransform>
</selector>
</attributemap-def>
cd:Observation
xsd:double
cd:observationResult
meteostream
Datetime: long
Hs : float
Lon: float
Lat: float
S2O Mappings
15Enabling Ontology-based Access to Streaming Data Sources
cd:Observation
xsd:double
cd:observationResult envdata_hornsea
Datetime: long
Hs : float
Lon: float
Lat: float
envdata_westbay
Datetime: long
Hs : float
Lon: float
Lat: float
envdata_milford
Datetime: long
Hs : float
Lon: float
Lat: float
envdata_rhylflats
Datetime: long
Hs : float
Lon: float
Lat: float
U
U
U
<union name="meteostream">
<map value="http://www.semsorgrid4env.eu/ontologies/
CoastalDefences.owl#SolentCCO">
<extent name="envdata_hornsea"></extent>
<extent name="envdata_rhylflats"></extent>
<extent name="envdata_milford"></extent>
<extent name="envdata_westbay"></extent>
</map>
</union>
• Union of extents-streams
Ontology-based Streaming Data Access
16Enabling Ontology-based Access to Streaming Data Sources
Query
translation
Query Evaluator
Client
Stream-to-Ontology
mappings
SPARQLSream (Og)
[tuples]
Stream
Engine (S3)
Ontology-based Streaming Data Access Service
Relational
DB (S2)
Sensor
Network (S1)
RDF Store
(Sm)
SPARQLSream algebra
Data
translation
q
[triples]
SNEEql
Query Translation
17Enabling Ontology-based Access to Streaming Data Sources
• Queries:
SELECT ?y
WHERE
{ ?x a cd:Observation;
cd:observationResult ?y. }
SELECT ?y
FROM STREAM < STREAM <http://www.semsorgrid4env.eu/ccometeo.srdf>
[ NOW – 1 MINUTE TO NOW – 0 MINUTES ] >
WHERE
{ ?x a cd:Observation;
cd:observationResult ?y. }
Query Translation
18Enabling Ontology-based Access to Streaming Data Sources
• Mappings:
query algebra expression
over sources
cd:Observation
xsd:double
cd:observationResult
envdata_milford
Datetime: long
Hs : float
Lon: float
Lat: float
envdata_milford
Datetime
Hs
Query Translation
19Enabling Ontology-based Access to Streaming Data Sources
envdata
_rhylflats
DateTime
Hs
cd:Observation
xsd:double
cd:observationResult
envdata_hornsea
Datetime: long
Hs : float
Lon: float
Lat: float
envdata_westbay
Datetime: long
Hs : float
Lon: float
Lat: float
envdata_milford
Datetime: long
Hs : float
Lon: float
Lat: float
envdata_rhylflats
Datetime: long
Hs : float
Lon: float
Lat: float
U
U
U
envdata
_milford
DateTime
Hs
envdata
_hornsea
DateTime
Hs
envdata
_westbay
DateTime
Hs
DateTime
Hs
Ontology-based Streaming Data Access
20Enabling Ontology-based Access to Streaming Data Sources
Query
translation
Query Evaluator
Client
Stream-to-Ontology
mappings
SPARQLSream (Og)
[tuples]
Stream
Engine (S3)
Ontology-based Streaming Data Access Service
Relational
DB (S2)
Sensor
Network (S1)
RDF Store
(Sm)
SPARQLSream algebra
Data
translation
q
[triples]
SNEEql
v
v
v
v
Query Execution
21
PREFIX cd: <http://www.semsorgrid4env.eu/ontologies/CoastalDefences.owl#>
PREFIX sb: <http://www.w3.org/2009/SSN-XG/Ontologies/SensorBasis.owl#>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
SELECT ?waveheight ?wavets ?lat ?lon
FROM STREAM <http://www.semsorgrid4env/ccometeo.srdf>
WHERE
{
?WaveObs a cd:Observation;
cd:observationResult ?waveheight;
cd:observationResultTime ?wavets;
cd:observationResultLatitude ?lat;
cd:observationResultLongitude ?lon;
cd:observedProperty ?waveProperty;
cd:featureOfInterest ?waveFeature.
?waveFeature a cd:Feature;
cd:locatedInRegion cd:SouthEastEnglandCCO.
?waveProperty a cd:WaveHeight.
}
(SELECT Lon,timestamp,Hs,Lat FROM envdata_rhylflats) UNION
(SELECT Lon,timestamp,Hs,Lat FROM envdata_hornsea) UNION
(SELECT Lon,timestamp,Hs,Lat FROM envdata_milford) UNION
(SELECT Lon,timestamp,Hs,Lat FROM envdata_chesil) UNION
(SELECT Lon,timestamp,Hs,Lat FROM envdata_perranporth) UNION
(SELECT Lon,timestamp,Hs,Lat FROM envdata_westbay) UNION
(SELECT Lon,timestamp,Hs,Lat FROM envdata_pevenseybay)
envdata_rhylflats
Timestamp: long
Hs : float
Lon: float
Lat: float
envdata_hornsea
Observation
WaveHeight
Property
observed
Property
hasObservation
Result
xsd:float
locatedIn
Region
Ontologies Streams
S2O
Mapping
envdata_milford
envdata_chesil
envdata_westbay
Region
Feature
SPARQLStream
SNEEql
Enabling Ontology-based Access to Streaming Data Sources
Ontology-based Streaming Data Access
22Enabling Ontology-based Access to Streaming Data Sources
Query
translation
Query Evaluator
Client
Stream-to-Ontology
mappings
SPARQLSream (Og)
[tuples]
Stream
Engine (S3)
Ontology-based Streaming Data Access Service
Relational
DB (S2)
Sensor
Network (S1)
RDF Store
(Sm)
SPARQLSream algebra
Data
translation
q
[triples]
SNEEql
Data Translation
• Data translation:
Tagged tuples  SPARQL bound variables
<ns9:sparql>
<ns9:head>
<ns9:variable name="waveheight"/>
<ns9:variable name="wavets"/>
</ns9:head>
<ns9:results>
<ns9:result>
<ns9:binding name="waveheight">
<ns9:literal datatype="http://www.w3.org/2001/XMLSchema#double">4.850</ns9:literal>
</ns9:binding>
<ns9:binding name="wavets">
<ns9:literal datatype="http://www.w3.org/2001/XMLSchema#long">1272588663</ns9:literal>
</ns9:binding>
</ns9:result>
<ns9:result>
<ns9:binding name="waveheight">
<ns9:literal datatype="http://www.w3.org/2001/XMLSchema#double">2.1230</ns9:literal>
</ns9:binding>
<ns9:binding name="wavets">
<ns9:literal datatype="http://www.w3.org/2001/XMLSchema#long">1272587400</ns9:literal>
</ns9:binding>
</ns9:result>
</ns9:results>
</ns9:sparql>
waveheight wavets
4.850 1272588663
2.1230 1272587400
Implementation
24Enabling Ontology-based Access to Streaming Data Sources
• Design, implement
and deploy a
Semantic Integration
Service
• Extend existing ontology-
based data integration
models to take into
account sensor networks
streaming data, semantic
heterogeneity and quality
of service
Implementation
25Enabling Ontology-based Access to Streaming Data Sources
Integration
Query Service
IntegrationInterface
QueryInterface
PullInterface
Translator
ClientSNEE
-WS
S2O mappings
repository
SNEEql
IntegrateAs (DataResourceAddressList, S2O document)
DataResourceAddress
SPARQLQueryFactory (DataResourceName, SPARQLSTR )
DataResourceAddressaddQuery
GetStreamNewestItem(DataResourceName )
DataSetgetResultSet
repeat
CCO-
WS
Implementation
• Flood Warning Application
26Enabling Ontology-based Access to Streaming Data Sources
- Wave Height updated every 10 min
- Live data from sensor in buoys
- Over 30 deployments
Conclusions
Ontology-base data access
• Define stream extensions for R2O
• Define SPARQLStream language syntax and semantics
• Define S2O mappings-based translation semantics
Implementation
• Enable engine support for « S2O » documents,
SPARQLStream queries
• Enabled engine support for SNEEql translation and
connection
• Limited to non-distributed scenario initially
27Enabling Ontology-based Access to Streaming Data Sources
28
Future Works
• Ontology-based data access
• SPARQL construct expressions, aggregates, projected
operators
• Implement adapters for other streaming sources
• Add query rewriting algorithms
• Ontology-based streaming data integration
• Horizontal & vertical integration
• Integrate streaming + stored data
• RDF data sources integration
• Streaming query optimization
• Analyze cost models
• Streaming sources statistics and metadata
• Quantitative evaluation
28Enabling Ontology-based Access to Streaming Data Sources
Thanks!
29
Enabling Ontology-based Access to
Streaming Data Sources
Jean-Paul Calbimonte
jp.calbimonte@upm.es
Enabling Ontology-based Access to Streaming Data Sources

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Enabling ontology based streaming data access final

  • 1. Date: 9/11/2010 Enabling Ontology-based Access to Streaming Data Sources Jean-Paul Calbimonte1, Oscar Corcho1, Alasdair J G Gray2 1Ontology Engineering Group. Departamento de Inteligencia Artificial. Facultad de Informática, Universidad Politécnica de Madrid. Campus de Montegancedo s/n. 28660 Boadilla del Monte. Madrid. Spain jp.calbimonte@upm.es;ocorcho@fi.upm.es 2School of Computer Science, The University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom a.gray@cs.man.ac.uk 9th International Semantic Web Conference ISWC 2010 Shanghai, China
  • 2. Outline • Introduction & Motivation • Background • Approach • Mapping Streams to Ontologies • SPARQL Stream • Query Translation • Example • Future work • Conclusions 2Enabling Ontology-based Access to Streaming Data Sources
  • 3. Introduction & Scope 3 • Streaming Data (t9, a1, a2, ... , an) (t8, a1, a2, ... , an) (t7, a1, a2, ... , an) ... ... (t1, a1, a2, ... , an) ... ... Streaming Data • Continuously appended data • Potentially infinite • Time-stamped tuples • Continuous queries • Changes of values over time • Latest used in queries • Ubiquitous data capture • Data processing • Cheap • Noisy, Unreliable • Low computational, power resources, storage • Sensor technologies Enabling Ontology-based Access to Streaming Data Sources • Applications in security surveillance, healthcare provision, environmental monitoring, you name it.
  • 4. Motivation 4Enabling Ontology-based Access to Streaming Data Sources Emergency planner Flood risk alert: South East England ... ... ... Real-time data Meteorological forecasts Flood defences data Other sources • Detect conditions likely to cause a flood • Present data model in terms of the user domain: e.g. Flood risk assessment Example: • “provide me with the wind speed observations average over the last minute in the Solent region, if it is higher than the average of the last 2 to 3 hours” Wave, Wind, Tide
  • 5. Motivation 5Enabling Ontology-based Access to Streaming Data Sources • Ontologies can be used as such a common model • Need to provide solution for: • Establish mappings between ontological models and streaming data source schemas • Access streaming data sources through queries over ontology models
  • 6. Background – Ontology-based Data Access 6Enabling Ontology-based Access to Streaming Data Sources Ontology-based Data Access R2O + ODEMapster D2RQ SquirrelRDF RDBToOnto Relational.OWL SPASQL Virtuoso MASTRO Query/Data Transformation Ontological Models Relational Schemas Mapping Document Generate Semantic Web content from existing relational data sources e.g. SPARQL e.g. SQL
  • 7. Background – Querying Relational Data Streams 7Enabling Ontology-based Access to Streaming Data Sources Streaming Data STREAM Aurora/Borealis Cougar TinyDB SNEE e1 e2e1 e2 e3 e2e1 e3 e1 e4 t t+1 t+2 t+3 t+4 t+5 WINDOW [tnow TO tnow-2] SLIDE 1 Transform infinite sequence of tuples to bounded bag Window-to-Stream operators: convert stream of windows to stream of tuples ... ... CQL SNEEql TinyQL Query engines Query languages Event Streams Acquisitional Streams
  • 8. Ontology-based Streaming Data Access 8Enabling Ontology-based Access to Streaming Data Sources Query translation Query Evaluator Client Stream-to-Ontology mappings SPARQLSream (Og) [tuples] Stream Engine (S3) Ontology-based Streaming Data Access Service Relational DB (S2) Sensor Network (S1) RDF Store (Sm) SPARQLSream algebra(S1 S2 Sm) Data translation q [triples] SNEEql
  • 9. Ontology-based Streaming Data Access 9Enabling Ontology-based Access to Streaming Data Sources • Mappings from relational streams to ontological concepts • Extend stored data schema mappings • Study translation semantics • Provide with a stream query language at ontological level • Use notion of RDF stream • Extend SPARQL • Window operator, window-to-stream operators
  • 10. SPARQLStream 10Enabling Ontology-based Access to Streaming Data Sources • RDF-Stream ... ... ( <si-1,pi-1, oi-1>, ti-1 ), ( <si, pi, oi>, ti ), ( <si+1,pi+1, oi+1>, ti+1 ), ... ... Example: • “provide me with the wind speed observations over the last minute in the Solent Region ” cd:Observation xsd:double cd:observationResult ... ... ( <ssg4e:Obs1,rdf:type, cd:Observation>, ti ), ( <ssg4e:Obs1,cd:observationResult,”34.5”>, ti ), ( <ssg4e:Obs2,rdf:type, cd:Observation>, ti+1 ), ( <ssg4e:Obs2,cd:observationResult,”20.3”>, ti+1 ), ... ... STREAM <http://www.semsorgrid4env.eu/ccometeo.srdf>
  • 11. SPARQLStream 11Enabling Ontology-based Access to Streaming Data Sources Example: • “provide me with the wind speed observations over the last minute in the Solent Region ” cd:Observation xsd:double cd:observationResult PREFIX cd: <http://www.semsorgrid4env.eu/ontologies/CoastalDefences.owl#> PREFIX sb: <http://www.w3.org/2009/SSN- XG/Ontologies/SensorBasis.owl#> PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> SELECT ?windspeed ?windts FROM STREAM <http://www.semsorgrid4env.eu/ccometeo.srdf> [ NOW – 1 MINUTE TO NOW – 0 MINUTES ] WHERE { ?WindObs a cd:Observation; cd:observationResult ?windspeed; cd:observationResultTime ?windts; cd:observedProperty ?windProperty; cd:featureOfInterest ?windFeature. ?windFeature a cd:Feature; cd:locatedInRegion cd:SolentCCO. ?windProperty a cd:WindSpeed. } cd:Feature cd:featureOfInterest cd:Property cd:observedProperty cd:locatedInRegion cd:Region
  • 12. Ontology-based Streaming Data Access 12Enabling Ontology-based Access to Streaming Data Sources Query translation Query Evaluator Client Stream-to-Ontology mappings SPARQLSream (Og) [tuples] Stream Engine (S3) Ontology-based Streaming Data Access Service Relational DB (S2) Sensor Network (S1) RDF Store (Sm) SPARQLSream algebra(S1 S2 Sm) Data translation q [triples] SNEEql
  • 13. S2O Mappings 13Enabling Ontology-based Access to Streaming Data Sources • R2O Mappings • Schema descriptions (probably mostly unused) <has-table name="raingauge"> <keycol-desc name="id"/> <keycol-desc name="ts"/> <nonkeycol-desc name="level"/> </has-table> <has-stream name="windsamples" streamType="push"> <keycol-desc name="id"/> <keycol-desc name="ts"/> <timestamp-desc name="ts" /> <nonkeycol-desc name="speed"/> <nonkeycol-desc name="temperature"/> <nonkeycol-desc name="direction"/> </has-stream>
  • 14. S2O Mappings 14Enabling Ontology-based Access to Streaming Data Sources <conceptmap-def id="Observation_wind" name="http://www.semsorgrid4env.eu/ontologies/CoastalDefences.owl#Observation" virtualStream="http://www.semsorgrid4env/ccometeo.srdf"> <uri-as> <operation oper-id="concat"> <arg-restriction on-param="string1"> <has-value>http://www.semsorgrid4env.eu/data#ObservationWind</has-value> </arg-restriction> <arg-restriction on-param="string2"> <has-column>meteostream.DateTime</has-column> </arg-restriction> </operation> </uri-as> <attributemap-def name="http://www.semsorgrid4env.eu/ontologies/CoastalDefences.owl#observationResult" dataType="xsd:double"> <selector> <aftertransform> <operation oper-id="constant"> <arg-restriction on-param="const-val"> <has-column>meteostream.Hs</has-column> </arg-restriction> </operation> </aftertransform> </selector> </attributemap-def> cd:Observation xsd:double cd:observationResult meteostream Datetime: long Hs : float Lon: float Lat: float
  • 15. S2O Mappings 15Enabling Ontology-based Access to Streaming Data Sources cd:Observation xsd:double cd:observationResult envdata_hornsea Datetime: long Hs : float Lon: float Lat: float envdata_westbay Datetime: long Hs : float Lon: float Lat: float envdata_milford Datetime: long Hs : float Lon: float Lat: float envdata_rhylflats Datetime: long Hs : float Lon: float Lat: float U U U <union name="meteostream"> <map value="http://www.semsorgrid4env.eu/ontologies/ CoastalDefences.owl#SolentCCO"> <extent name="envdata_hornsea"></extent> <extent name="envdata_rhylflats"></extent> <extent name="envdata_milford"></extent> <extent name="envdata_westbay"></extent> </map> </union> • Union of extents-streams
  • 16. Ontology-based Streaming Data Access 16Enabling Ontology-based Access to Streaming Data Sources Query translation Query Evaluator Client Stream-to-Ontology mappings SPARQLSream (Og) [tuples] Stream Engine (S3) Ontology-based Streaming Data Access Service Relational DB (S2) Sensor Network (S1) RDF Store (Sm) SPARQLSream algebra Data translation q [triples] SNEEql
  • 17. Query Translation 17Enabling Ontology-based Access to Streaming Data Sources • Queries: SELECT ?y WHERE { ?x a cd:Observation; cd:observationResult ?y. } SELECT ?y FROM STREAM < STREAM <http://www.semsorgrid4env.eu/ccometeo.srdf> [ NOW – 1 MINUTE TO NOW – 0 MINUTES ] > WHERE { ?x a cd:Observation; cd:observationResult ?y. }
  • 18. Query Translation 18Enabling Ontology-based Access to Streaming Data Sources • Mappings: query algebra expression over sources cd:Observation xsd:double cd:observationResult envdata_milford Datetime: long Hs : float Lon: float Lat: float envdata_milford Datetime Hs
  • 19. Query Translation 19Enabling Ontology-based Access to Streaming Data Sources envdata _rhylflats DateTime Hs cd:Observation xsd:double cd:observationResult envdata_hornsea Datetime: long Hs : float Lon: float Lat: float envdata_westbay Datetime: long Hs : float Lon: float Lat: float envdata_milford Datetime: long Hs : float Lon: float Lat: float envdata_rhylflats Datetime: long Hs : float Lon: float Lat: float U U U envdata _milford DateTime Hs envdata _hornsea DateTime Hs envdata _westbay DateTime Hs DateTime Hs
  • 20. Ontology-based Streaming Data Access 20Enabling Ontology-based Access to Streaming Data Sources Query translation Query Evaluator Client Stream-to-Ontology mappings SPARQLSream (Og) [tuples] Stream Engine (S3) Ontology-based Streaming Data Access Service Relational DB (S2) Sensor Network (S1) RDF Store (Sm) SPARQLSream algebra Data translation q [triples] SNEEql
  • 21. v v v v Query Execution 21 PREFIX cd: <http://www.semsorgrid4env.eu/ontologies/CoastalDefences.owl#> PREFIX sb: <http://www.w3.org/2009/SSN-XG/Ontologies/SensorBasis.owl#> PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> SELECT ?waveheight ?wavets ?lat ?lon FROM STREAM <http://www.semsorgrid4env/ccometeo.srdf> WHERE { ?WaveObs a cd:Observation; cd:observationResult ?waveheight; cd:observationResultTime ?wavets; cd:observationResultLatitude ?lat; cd:observationResultLongitude ?lon; cd:observedProperty ?waveProperty; cd:featureOfInterest ?waveFeature. ?waveFeature a cd:Feature; cd:locatedInRegion cd:SouthEastEnglandCCO. ?waveProperty a cd:WaveHeight. } (SELECT Lon,timestamp,Hs,Lat FROM envdata_rhylflats) UNION (SELECT Lon,timestamp,Hs,Lat FROM envdata_hornsea) UNION (SELECT Lon,timestamp,Hs,Lat FROM envdata_milford) UNION (SELECT Lon,timestamp,Hs,Lat FROM envdata_chesil) UNION (SELECT Lon,timestamp,Hs,Lat FROM envdata_perranporth) UNION (SELECT Lon,timestamp,Hs,Lat FROM envdata_westbay) UNION (SELECT Lon,timestamp,Hs,Lat FROM envdata_pevenseybay) envdata_rhylflats Timestamp: long Hs : float Lon: float Lat: float envdata_hornsea Observation WaveHeight Property observed Property hasObservation Result xsd:float locatedIn Region Ontologies Streams S2O Mapping envdata_milford envdata_chesil envdata_westbay Region Feature SPARQLStream SNEEql Enabling Ontology-based Access to Streaming Data Sources
  • 22. Ontology-based Streaming Data Access 22Enabling Ontology-based Access to Streaming Data Sources Query translation Query Evaluator Client Stream-to-Ontology mappings SPARQLSream (Og) [tuples] Stream Engine (S3) Ontology-based Streaming Data Access Service Relational DB (S2) Sensor Network (S1) RDF Store (Sm) SPARQLSream algebra Data translation q [triples] SNEEql
  • 23. Data Translation • Data translation: Tagged tuples  SPARQL bound variables <ns9:sparql> <ns9:head> <ns9:variable name="waveheight"/> <ns9:variable name="wavets"/> </ns9:head> <ns9:results> <ns9:result> <ns9:binding name="waveheight"> <ns9:literal datatype="http://www.w3.org/2001/XMLSchema#double">4.850</ns9:literal> </ns9:binding> <ns9:binding name="wavets"> <ns9:literal datatype="http://www.w3.org/2001/XMLSchema#long">1272588663</ns9:literal> </ns9:binding> </ns9:result> <ns9:result> <ns9:binding name="waveheight"> <ns9:literal datatype="http://www.w3.org/2001/XMLSchema#double">2.1230</ns9:literal> </ns9:binding> <ns9:binding name="wavets"> <ns9:literal datatype="http://www.w3.org/2001/XMLSchema#long">1272587400</ns9:literal> </ns9:binding> </ns9:result> </ns9:results> </ns9:sparql> waveheight wavets 4.850 1272588663 2.1230 1272587400
  • 24. Implementation 24Enabling Ontology-based Access to Streaming Data Sources • Design, implement and deploy a Semantic Integration Service • Extend existing ontology- based data integration models to take into account sensor networks streaming data, semantic heterogeneity and quality of service
  • 25. Implementation 25Enabling Ontology-based Access to Streaming Data Sources Integration Query Service IntegrationInterface QueryInterface PullInterface Translator ClientSNEE -WS S2O mappings repository SNEEql IntegrateAs (DataResourceAddressList, S2O document) DataResourceAddress SPARQLQueryFactory (DataResourceName, SPARQLSTR ) DataResourceAddressaddQuery GetStreamNewestItem(DataResourceName ) DataSetgetResultSet repeat CCO- WS
  • 26. Implementation • Flood Warning Application 26Enabling Ontology-based Access to Streaming Data Sources - Wave Height updated every 10 min - Live data from sensor in buoys - Over 30 deployments
  • 27. Conclusions Ontology-base data access • Define stream extensions for R2O • Define SPARQLStream language syntax and semantics • Define S2O mappings-based translation semantics Implementation • Enable engine support for « S2O » documents, SPARQLStream queries • Enabled engine support for SNEEql translation and connection • Limited to non-distributed scenario initially 27Enabling Ontology-based Access to Streaming Data Sources
  • 28. 28 Future Works • Ontology-based data access • SPARQL construct expressions, aggregates, projected operators • Implement adapters for other streaming sources • Add query rewriting algorithms • Ontology-based streaming data integration • Horizontal & vertical integration • Integrate streaming + stored data • RDF data sources integration • Streaming query optimization • Analyze cost models • Streaming sources statistics and metadata • Quantitative evaluation 28Enabling Ontology-based Access to Streaming Data Sources
  • 29. Thanks! 29 Enabling Ontology-based Access to Streaming Data Sources Jean-Paul Calbimonte jp.calbimonte@upm.es Enabling Ontology-based Access to Streaming Data Sources

Editor's Notes

  1. q(x)\leftarrow Observation(x) \wedge observationResult(x,y)\\ q(\vec{x})\leftarrow \phi(\vec{x},\vec{y})) \mathit{\Psi \leadsto \Phi}
  2. (Observation(x) \wedge \\observationResult(x,y))[t_i,t_f,\delta]\\