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DESCRIPTION:Click for Latest Location Information: http://das2018.dataversi
 ty.net/sessionPop.cfm?confid=124&proposalid=10114\n<p><strong>Semantic Tech
 nology: FIBO Tutorial on Applying Knowledge Graphs in the Financial Industr
 y </strong></p>\n<p>Event: October 10-11, Chicago (in conjunction with the 
 Data Architecture Summit)<br />\nContent: 12 hours</p>\n<ol>\n
 Ontology Rationale - using ontologies and standards to address data incongr
 uence\n
 Knowledge Graph Primer - understanding the core technical concepts needed f
 or model-driven architecture (RDF, RDFS, SKOS, OWL) and query using SPARQL\
 n
 FIBO - leveraging the structure and content of the Financial Industry Busin
 ess Ontology\n
 Collaboration using the FIBO Ecosystem - GitHub, JIRA, Jenkins, and the FIB
 O Wiki system<br />\n
 &nbsp;\n</ol>\n<p><strong>Ontology Rationale (90 minutes)</strong></p>\n\n
 Data as Meaning - Data is a representation of &ldquo;real things&rdquo; tha
 t can be described via precise identification, verifiable facts,&nbsp;and c
 ontextual relationships.\n
 Agreements and Obligations - Complexity requires shared meaning.\n
 Causes and Implications - the underlying reasons why data loses alignment\n
 Demystifying Ontology - moving from &ldquo;location-based&rdquo; to &ldquo;
 meaning-based&rdquo; processing\n
 Enterprise Knowledge Graph - the value of a common reusable Open World mode
 l using semantic technology\n\n<p><br />\n<strong>Knowledge Graph Primer (3
  hours)</strong></p>\n\n
 Enterprise Knowledge Graphs - organizing and linking content across federat
 ed environments\n
 Ontology Languages - understanding RDF, RDFS, SKOS, OWL, and SPARQL\n
 Inferencing - the basics of description logic, classes, properties, and res
 trictions\n
 Implementation - constructing the graph and linked open data<br />\n
 &nbsp;\n\n<p><strong>Financial Industry Business Ontology (6 hours)</strong
 ></p>\n\n
 FIBO Product Suite - review of FIBO Glossary, Data Dictionary, FIBO Vocabul
 ary, Linked Data Fragments, Visual Ontology, UML models, OWL files, and Sch
 ema.org\n
 FIBO Maturity Levels - the distinctions between FIBO production and develop
 ment\n
 Semantic Architecture - triple store processing, namespaces, and ontologies
 \n
 FIBO Concepts - understanding the classes, properties, and logical assertio
 ns within FIBO\n
 Conversion and Mapping - transforming CSV, XML, and relational databases in
 to RDF to establish the conceptual mapping baseline\n
 Accessing FIBO - tools for reading, editing, extending, and embedding FIBO 
 into applications\n
 Working with FIBO - URIs, namespaces, instances, property chains, and simpl
 e SPARQL queries\n
 Inferencing Basics - tools and techniques for implementing the inference ru
 les within FIBO<br />\n
 &nbsp;\n\n<p><strong>The FIBO Ecosystem (90 minutes)</strong></p>\n\n
 Build, Test, Deploy, Maintain &ndash; understanding the FIBO development pr
 ocess\n
 FIBO Ecosystem &ndash; using GitHub and JIRA as the mechanisms for FIBO col
 laboration\n
DTSTART:20181010T080000
SUMMARY:Applying FIBO and Knowledge Graphs in the Financial Industry - Day 
 1 
DTEND:20181010T165959
LOCATION: See Description
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