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ITWS Capstone (RPI, Fall 2013)
The document is a lecture on the Semantic Web that introduces key concepts such as RDF, SPARQL, Linked Data, and mashups. It also discusses advanced ideas like ontology, inference, and reasoning. The purpose is to summarize the Semantic Web and introduce useful concepts for graduating seniors pursuing graduate school or careers.
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- 1. ITWS Capstone Lecture: TheSemantic Web John S. Erickson, Ph.D. Director, Web Science Operations Tetherless World Constellation RPI
- 2. ...the purpose ofthe 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...
- 3. ...the purpose ofthe 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...
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- 6. Is this “SemanticWeb” for real?
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- 8. ““Vague but exciting...” Vaguebut exciting...” 1989...
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- 20. Percent of totalcatalogs (from 192 catalogs) 20 20
- 21. Percent of totalcatalogs (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
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- 28. Semantic Web? “Web ofmeaning”
- 29. Semantic Web? “Web ofmeaning” Web of Data Make meaningful Make meaningful assertions assertions about things about things on the Web... on the Web...
- 30. Semantic Web? “Web ofmeaning” Web of Data Link ideas... Link ideas... Linked Data
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- 38. That's how todescribe things...
- 39. ...but how dowe find things?
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- 41. SPARQL: pattern matching over RDFgraphs ““SPARQL Protocol SPARQL Protocol and and Query Language...” Query Language...”
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- 46. http://bit.ly/RumQwu http://bit.ly/RumQwu ?s ?s dbpedia2:blackboard “There is nosuch month “There is no such month as “Rocktober” as “Rocktober”
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- 49. When in 2009The Inventor said unto us...
- 51. Use URIs asnames 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
- 52. Use URIs asnames 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
- 53. The Linked DataCloud The Linked Data Cloud
- 54. The Linked DataCloud The Linked Data Cloud
- 55. The Linked DataCloud The Linked Data Cloud
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- 59. Linked Data enables agile dataintegration and application creation
- 60. Mashup: OrgPedia OpenCorporate Data Mashup: OrgPedia Open Corporate Data http://tw.rpi.edu/orgpedia/
- 61. Mashup: RPI ResearchCenters Mashup: RPI Research Centers
- 62. Mashup: RPI ResearchCenters Mashup: RPI Research Centers
- 63. Mashup: Research Data Mashup:Research Data
- 64. Linked Data Publication:HHS Health Data Linked Data Publication: HHS Health Data
- 65. Linked Data Publication:HHS Health Data Linked Data Publication: HHS Health Data
- 66. Linked Data Publication:HHS Health Data Linked Data Publication: HHS Health Data
- 67. Linked Data Publication:HHS Health Data Linked Data Publication: HHS Health Data
- 68. Linked Data Publication:HHS Health Data Linked Data Publication: HHS Health Data
- 69. Example: Extending aSci Publishing Portal Example: Extending a Sci Publishing Portal
- 72. Idea: Linking Data-drivenApps with “Smart Content” http://inference-web.org/wiki/Semantic_Water_Quality_Portal http://inference-web.org/wiki/Semantic_Water_Quality_Portal
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- 74. Schematic for DeepCarbon 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
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- 76. ...the purpose ofthe 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...
- 77. Semantic Web key concepts... RDF,SPARQL, Linked Data, mashups, dataviz, RDFa, microformats, Schema.org
- 78. Semantic Web key concepts... advancedideas... RDF, SPARQL, Linked Data, mashups, dataviz, RDFa, microformats, Schema.org ontology, inference, reasoning, provenance, machine learning, policy-based systems
- 79. Semantic Web key concepts... advancedideas... RDF, SPARQL, Linked Data, mashups, dataviz, RDFa, microformats, Schema.org ontology, inference, reasoning, provenance, machine learning, policy-based systems careers...
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