ITWS Capstone (RPI, Fall 2013)
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ITWS Capstone (RPI, Fall 2013)

ITWS Capstone (RPI, Fall 2013)

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    ITWS Capstone (RPI, Fall 2013) ITWS Capstone (RPI, Fall 2013) Presentation Transcript

    • ITWS Capstone Lecture: The Semantic Web John S. Erickson, Ph.D. Director, Web Science Operations Tetherless World Constellation RPI
    • ...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...
    • ...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!
    • What really matters?
    • Is this “Semantic Web” for real?
    • 1989...
    • ““Vague but exciting...” Vague but exciting...” 1989...
    • 2001...
    • 2001...
    • 2001...
    • Today...
    • Today...
    • Today...
    • Today...
    • Today...
    • Today...
    • Today...
    • Today...
    • Percent of total catalogs (from 192 catalogs) 20 20
    • Percent of total catalogs (from 192 catalogs) Int'l Open Gov't Dataset Search: searching 1,022,787 datasets from 192 catalogs in 24 languages representing 43 countries and international organizations (Summer 2012) 21 21
    • Today...
    • 2012...
    • Semantic Web?
    • Semantic Web? “Web of meaning”
    • Semantic Web? “Web of meaning” Web of Data Make meaningful Make meaningful assertions assertions about things about things on the Web... on the Web...
    • Semantic Web? “Web of meaning” Web of Data Link ideas... Link ideas... Linked Data
    • Assertions...
    • ...about ideas???
    • subject subject predicate object object
    • subject subject predicate object object ““article” article” “has creator” ““Jim” Jim”
    • doi:10.1109/MC.2009.30 http://purl.org/dc/elements/1.1/ creator http://dbpedia.org/resource/James_Hendler http://dbpedia.org/resource/James_Hendler
    • doi:10.1109/MC.2009.30 http://purl.org/dc/elements/1.1/ creator http://dbpedia.org/resource/James_Hendler http://dbpedia.org/resource/James_Hendler
    • That's how to describe things...
    • ...but how do we find things?
    • SPARQL: pattern matching over RDF graphs
    • SPARQL: pattern matching over RDF graphs ““SPARQL Protocol SPARQL Protocol and and Query Language...” Query Language...”
    • http://bit.ly/RumkhW http://bit.ly/RumkhW ?s ?s dbpedia2:blackboard ?blackboard ?blackboard
    • http://bit.ly/Rumtlp http://bit.ly/Rumtlp ?s ?s dbpedia2:blackboard ?blackboard ?blackboard
    • http://bit.ly/RumQwu http://bit.ly/RumQwu
    • http://bit.ly/RumQwu http://bit.ly/RumQwu ?s ?s dbpedia2:blackboard “There is no such month “There is no such month as “Rocktober” as “Rocktober”
    • http://bit.ly/RumQwu http://bit.ly/RumQwu
    • http://bit.ly/RumQwu http://bit.ly/RumQwu http://dbpedia.org/resource/Double,_Double,_Boy_in_Trouble http://dbpedia.org/resource/Double,_Double,_Boy_in_Trouble
    • When in 2009 The Inventor said unto us...
    • Use URIs as names for things Use URIs as names for things Use HTTP URIs so that people can look up Use HTTP URIs so that people can look up those names (on the Web) those names (on the Web) When someone looks up a URI, return When someone looks up a URI, return useful information, using the standards useful information, using the standards ((RDF*,SPARQL)) RDF*, SPARQL Include links to other URIs, so that they can Include links to other URIs, so that they can discover more things discover more things
    • Use URIs as names for things Use URIs as names for things Use HTTP URIs so that people can look up Use HTTP URIs so that people can look up those names (on the Web) those names (on the Web) When someone looks up a URI, return When someone looks up a URI, return useful information, using the standards useful information, using the standards ((RDF*,SPARQL)) RDF*, SPARQL Include links to other URIs, so that they can Include links to other URIs, so that they can discover more things discover more things
    • The Linked Data Cloud The Linked Data Cloud
    • The Linked Data Cloud The Linked Data Cloud
    • The Linked Data Cloud The Linked Data Cloud
    • How does this help us?
    • Linked Data enables agile data integration and application creation
    • Mashup: OrgPedia Open Corporate Data Mashup: OrgPedia Open Corporate Data http://tw.rpi.edu/orgpedia/
    • Mashup: RPI Research Centers Mashup: RPI Research Centers
    • Mashup: RPI Research Centers Mashup: RPI Research Centers
    • Mashup: Research Data Mashup: Research Data
    • Linked Data Publication: HHS Health Data Linked Data Publication: HHS Health Data
    • Linked Data Publication: HHS Health Data Linked Data Publication: HHS Health Data
    • Linked Data Publication: HHS Health Data Linked Data Publication: HHS Health Data
    • Linked Data Publication: HHS Health Data Linked Data Publication: HHS Health Data
    • Linked Data Publication: HHS Health Data Linked Data Publication: HHS Health Data
    • Example: Extending a Sci Publishing Portal Example: Extending a Sci Publishing Portal
    • Idea: Linking Data-driven Apps with “Smart Content” http://inference-web.org/wiki/Semantic_Water_Quality_Portal http://inference-web.org/wiki/Semantic_Water_Quality_Portal
    • [data integration/data science]
    • Schematic for Deep Carbon Virtual Observatory and Interoperability Integrated Applications Discovery visualizations Semantic interoperability Analytics and mining Global Census, Virtual Mineral Laboratory, ... Application-level mediation: vocabulary, mapping to science and data terms Software, Tools & Apps Deep Energy/ Life Applications Semantic interoperability Physics/ Chemistry Models Semantic query, hypothsis and inference …. Res/Flux Applications Query, access and use of data Semantic mediation: physics, chemistry, mineral, emission data - ChemML, Data Repositories GVP MINDAT EOS EarthChem Metadata, schema, data ... ... ... Emission/ Compositions
    • [data integration/data science]
    • ...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...
    • Semantic Web key concepts... RDF, SPARQL, Linked Data, mashups, dataviz, RDFa, microformats, Schema.org
    • Semantic Web key concepts... advanced ideas... RDF, SPARQL, Linked Data, mashups, dataviz, RDFa, microformats, Schema.org ontology, inference, reasoning, provenance, machine learning, policy-based systems
    • Semantic Web key concepts... advanced ideas... RDF, SPARQL, Linked Data, mashups, dataviz, RDFa, microformats, Schema.org ontology, inference, reasoning, provenance, machine learning, policy-based systems careers...
    • ????