snevitt
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Here is last week’s catch-up. Feel free to reach out to us, if you have a topic you would like us to cover in more detail!
For week ending Friday, 2019-11-08
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What is the Virtuoso Sponger Middleware Layer, and why is it important?
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How Natural Language Processing and Entity Extraction are integrated into SPARQL query results pages generated by Virtuoso. Note, a lot of these entries are the results of LOD Cloud lookups that are part of the query solution production pipeline.
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Hypertext moves us beyond the limitations of paper. HTML put that into action, and the Web was created. HyperData extends this further by taking entities, entity types, and entity relationship types out of HTML (and other docs) into a Knowledge Graph for AI and ML.
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Actual HTML document comprising Metadata that also function as a Knowledge Graph in its own right. Basically, you can SPARQL the document as a Data Source and/or leverage the follow-your-nose exploration offered by Linked Data.
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Virtuoso has supported Entity Ranking and Free Text Search (using SQL and/or SPARQL) since inception. Here is a demo searching for pattern “Paris” using the Live Edition of DBpedia.
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Great thing about the FIBO Ontology is that it showcases the benefits of Linked Data principles when applied to Financial Industry Knowledge Graph construction. Here is a SPARQL query run against the latest RDFTurtle doc - just follow-my-nose!
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This cool introduction also makes use of #SchemaOrg for rich Metadata embedded in HTML5. Thus, I can actually use this document as a Data Source for SPARQL queries!
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What specific shortcoming in RDF or Labeled Property Graphs is solved by what is referred to as an Algebraic Property Graph?
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For pure exploration of a Knowledge Graph using a SPARQL endpoint, you can use SAMPLE() to produce launch-points for drill-down exploration by entity type.
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Great insight from Pat Hayes, regarding confusion swirling around the Knowledge Graph term.
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Here’s a post by John F. Sowa that provides another point of clarity regarding Language, Logic, and Ontology.
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Demonstrating URIBurner - sponged a DEMO on youtube through URIBurner service, i.e., using Linked Data principles to ensure unambiguous entity identification
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Another URIBurner demo - Google Knowledge Graph is improving stealthily with entity cross references that incorporate SchemaOrg terms. Example via our URIBurner service (an NLP client in this case)
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Demonstrating OpenLink Data Sniffer - offering one-click route to metadata exposure and SPARQL query that imports Linked Data into our VirtuosoRDBMS behind URIBurner service
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Further Demo of OpenLink Data Sniffer - a one-click route to: Transforming Metadata from one notation to another, e.g., JSON-LD to RDF-Turtle (or vice versa), and Saving Linked Data to your personal Data Space or Solid Pod. In a nutshell, you build your own Knowledge Graph under your own control.
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What Siri Could Learn From Thanos. Map natural language to RDF and then leave Linked Data informed by an Ontology to do the REST, seriously!
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Free Trial Download of Virtuoso, our High-Performance, Scalable, and Secure Enterprise Knowledge Graph and Data Virtualization Platform
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Free Trial Download of our Secure and High-Performance ODBC & JDBC Data Access Drivers (Connectors)
Virtuoso Use cases
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