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Overview/introduction to the Semantic Web for RPI ITWS Capstone class (Fall 2012)
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ITWS Capstone Lecture:ITWS Capstone Lecture:
The Semantic WebThe Semantic Web
John S. Erickson, Ph.D.John S. Erickson, Ph.D.Director, Web Science OperationsDirector, Web Science Operations
Tetherless World ConstellationTetherless World ConstellationRPIRPI
...the purpose of the lecture is to summarize the Semantic Web
with key concepts and the introduction of a few advanced ideas
that will be useful to these graduating seniors in grad school
or their careers...
Greg HughesGreg Hughes
...the purpose of the lecture is to summarize the Semantic Web
with key concepts and the introduction of a few advanced ideas
that will be useful to these graduating seniors in grad school
or their careers...
Boil the ocean!Boil the ocean!
What really matters?
Is this “Semantic Web” for real?
1989...1989...
1989...1989...““Vague but exciting...”Vague but exciting...”““Vague but exciting...”Vague but exciting...”
2001...2001...
2001...2001...
2001...2001...
2011...2011...
2011...2011...
2011...2011...
2011...2011...
2011...2011...
2011...2011...
2011...2011...
19191919
Percent of total catalogsPercent of total catalogs(from 192 catalogs)(from 192 catalogs)
20202020
Percent of total catalogsPercent of total catalogs(from 192 catalogs)(from 192 catalogs)
Int'l Open Gov't Dataset Search:Int'l Open Gov't Dataset Search:searching searching 1,022,7871,022,787 datasets datasets
from from 192192 catalogs catalogsin in 2424 languages languages
representing representing 4343 countries countries and international organizationsand international organizations
(Summer 2012)(Summer 2012)
2012...2012...
2012...2012...
Semantic Web?Semantic Web?
““Web of meaning”Web of meaning”
Semantic Web?Semantic Web?
““Web of meaning”Web of meaning”
Web of DataWeb of Data
Make meaningfulMake meaningfulassertionsassertions
about thingsabout thingson the Web...on the Web...
Make meaningfulMake meaningfulassertionsassertions
about thingsabout thingson the Web...on the Web...
Semantic Web?Semantic Web?
““Web of meaning”Web of meaning”
Web of DataWeb of Data
Linked DataLinked Data
Link ideas...Link ideas...Link ideas...Link ideas...
Semantic Web?Semantic Web?
Assertions...
...about ideas???
subjectsubjectsubjectsubject objectobjectobjectobjectpredicatepredicate
subjectsubjectsubjectsubject objectobjectobjectobjectpredicatepredicate
articlearticlearticlearticle has creatorhas creator JimJimJimJim
http://dbpedia.org/resource/James_Hendlerhttp://dbpedia.org/resource/James_Hendlerhttp://dbpedia.org/resource/James_Hendlerhttp://dbpedia.org/resource/James_Hendler
doi:10.1109/MC.2009.30doi:10.1109/MC.2009.30
http://purl.org/dc/elements/1.1/http://purl.org/dc/elements/1.1/creatorcreator
http://dbpedia.org/resource/http://dbpedia.org/resource/James_HendlerJames_Hendlerhttp://dbpedia.org/resource/http://dbpedia.org/resource/James_HendlerJames_Hendler
doi:10.1109/MC.2009.30doi:10.1109/MC.2009.30
http://purl.org/dc/elements/1.1/http://purl.org/dc/elements/1.1/creatorcreator
That's how to describe things...
...but how do we find things?
SPARQLSPARQL: : pattern matchingpattern matchingover RDF graphsover RDF graphs
?s?s?s?s ?blackboard?blackboard?blackboard?blackboarddbpedia2:blackboarddbpedia2:blackboard
http://bit.ly/RumkhWhttp://bit.ly/RumkhWhttp://bit.ly/RumkhWhttp://bit.ly/RumkhW
?s?s?s?s ?blackboard?blackboard?blackboard?blackboarddbpedia2:blackboarddbpedia2:blackboard
http://bit.ly/Rumtlphttp://bit.ly/Rumtlphttp://bit.ly/Rumtlphttp://bit.ly/Rumtlp
http://bit.ly/RumQwuhttp://bit.ly/RumQwuhttp://bit.ly/RumQwuhttp://bit.ly/RumQwu
?s?s?s?s ““There is no such monthThere is no such month
as “Rocktober”as “Rocktober”
““There is no such monthThere is no such monthas “Rocktober”as “Rocktober”dbpedia2:blackboarddbpedia2:blackboard
http://bit.ly/RumQwuhttp://bit.ly/RumQwuhttp://bit.ly/RumQwuhttp://bit.ly/RumQwu
http://bit.ly/RumQwuhttp://bit.ly/RumQwuhttp://bit.ly/RumQwuhttp://bit.ly/RumQwu
http://bit.ly/RumQwuhttp://bit.ly/RumQwuhttp://bit.ly/RumQwuhttp://bit.ly/RumQwu
http://dbpedia.org/resource/Double,_Double,_Boy_in_Troublehttp://dbpedia.org/resource/Double,_Double,_Boy_in_Troublehttp://dbpedia.org/resource/Double,_Double,_Boy_in_Troublehttp://dbpedia.org/resource/Double,_Double,_Boy_in_Trouble
When in 2009 The Inventor said unto us...When in 2009 The Inventor said unto us...
Use Use URIsURIs as names for things as names for things
Use Use HTTP URIsHTTP URIs so that people can look up so that people can look up those names (on the Web)those names (on the Web)
When someone looks up a URI, returnWhen someone looks up a URI, returnuseful information, using the standards useful information, using the standards ((RDFRDF*, *, SPARQLSPARQL))
Include Include links to other URIs,links to other URIs, so that they can so that they can discover more thingsdiscover more things
Use Use URIsURIs as names for things as names for things
Use Use HTTP URIsHTTP URIs so that people can look up so that people can look up those names (on the Web)those names (on the Web)
When someone looks up a URI, returnWhen someone looks up a URI, returnuseful information, using the standards useful information, using the standards ((RDFRDF*, *, SPARQLSPARQL))
Include Include links to other URIs,links to other URIs, so that they can so that they can discover more thingsdiscover more things
Use Use URIsURIs as names for things as names for things
Use Use HTTP URIsHTTP URIs so that people can look up so that people can look up those names (on the Web)those names (on the Web)
When someone looks up a URI, returnWhen someone looks up a URI, returnuseful information, using the standards useful information, using the standards ((RDFRDF*, *, SPARQLSPARQL))
Include Include links to other URIs,links to other URIs, so that they can so that they can discover more thingsdiscover more things
Use Use URIsURIs as names for things as names for things
Use Use HTTP URIsHTTP URIs so that people can look up so that people can look up those names (on the Web)those names (on the Web)
When someone looks up a URI, returnWhen someone looks up a URI, returnuseful information, using the standards useful information, using the standards ((RDFRDF*, *, SPARQLSPARQL))
Include Include links to other URIs,links to other URIs, so that they can so that they can discover more thingsdiscover more things
The Linked Data CloudThe Linked Data CloudThe Linked Data CloudThe Linked Data Cloud
The Linked Data CloudThe Linked Data CloudThe Linked Data CloudThe Linked Data Cloud
The Linked Data CloudThe Linked Data CloudThe Linked Data CloudThe Linked Data Cloud
How does thishelp us?
Linked Data enables agile
data integration and
application creation
Mashup: Mashup: OrgPedia Open Corporate DataOrgPedia Open Corporate DataMashup: Mashup: OrgPedia Open Corporate DataOrgPedia Open Corporate Data
http://tw.rpi.edu/orgpedia/http://tw.rpi.edu/orgpedia/
Mashup: Mashup: RPI Research CentersRPI Research CentersMashup: Mashup: RPI Research CentersRPI Research Centers
Mashup: Mashup: RPI Research CentersRPI Research CentersMashup: Mashup: RPI Research CentersRPI Research Centers
Mashup: Mashup: Research DataResearch DataMashup: Mashup: Research DataResearch Data
Mashup: Mashup: Research DataResearch DataMashup: Mashup: Research DataResearch Data
Example: Extending a Sci Publishing PortalExample: Extending a Sci Publishing PortalExample: Extending a Sci Publishing PortalExample: Extending a Sci Publishing Portal
Example: Extending a Sci Publishing PortalExample: Extending a Sci Publishing PortalExample: Extending a Sci Publishing PortalExample: Extending a Sci Publishing Portal
Idea: Idea: Linking Data-driven Apps with “Smart Content”Linking Data-driven Apps with “Smart Content”
http://inference-web.org/wiki/Semantic_Water_Quality_Portalhttp://inference-web.org/wiki/Semantic_Water_Quality_Portalhttp://inference-web.org/wiki/Semantic_Water_Quality_Portalhttp://inference-web.org/wiki/Semantic_Water_Quality_Portal
[data integration/data science]
Discovery visualizations
Analytics and mining
Global Census, Virtual Mineral Laboratory, ...
IntegratedApplications
Application-level mediation: vocabulary,mapping to science and data terms
Semanticinteroperability
SemanticinteroperabilitySoftware,
Tools & Apps
DataRepositories
….
Semantic query,hypothsis and
inference
Query,access anduse of data
Metadata,schema,
data... ... ...
Deep Energy/ Life
Applications
Physics/ Chemistry
Models
Res/FluxApplications
GVP MINDAT EOS EarthChem
Semantic mediation: physics, chemistry, mineral, emission data - ChemML,
Schematic for Deep Carbon Virtual Observatory and Interoperability
Emission/ Compositions
...the purpose of the lecture is to summarize the Semantic Web
with key concepts and the introduction of a few advanced ideas
that will be useful to these graduating seniors in grad school
or their careers...
key concepts...
RDF, SPARQL,RDF, SPARQL,Linked Data, Linked Data,
mashups, dataviz,mashups, dataviz,RDFa, microformats,RDFa, microformats,
Schema.orgSchema.org
Semantic Web
key concepts... advanced ideas...
RDF, SPARQL,RDF, SPARQL,Linked Data, Linked Data,
mashups, dataviz,mashups, dataviz,RDFa, microformats,RDFa, microformats,
Schema.orgSchema.org
ontology, inference,ontology, inference,reasoning, provenance,reasoning, provenance,
machine learning,machine learning,policy-based systemspolicy-based systems
Semantic Web
key concepts... advanced ideas...
RDF, SPARQL,RDF, SPARQL,Linked Data, Linked Data,
mashups, dataviz,mashups, dataviz,RDFa, microformats,RDFa, microformats,
Schema.orgSchema.org
ontology, inference,ontology, inference,reasoning, provenance,reasoning, provenance,
machine learning,machine learning,policy-based systemspolicy-based systems
careers...
Semantic Web
????????
