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DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10517\n<div>NOTE: This seminar 
 is continued from Thursday afternoon.</div>\n<div>PART 1: Introducing Ontol
 ogy and OWL &ndash; This is a lively interactive session where we learn tog
 ether by doing.&nbsp;Building and populating business ontologies in triple 
 stores is of growing importance to the enterprise, helping to reduce comple
 xity and improve flexibility in enterprise systems.&nbsp;We introduce the f
 ollowing foundational building blocks for an ontology, starting with inform
 al terminology and transitioning to the technical terms of OWL.</div>\n<p>&
 nbsp;</p>\n<ol>\n	Individual things are OWL individuals - e.g., JaneDoe\n
 Kinds of things are OWL classes - e.g., Organization\n
 Kinds of relationships are OWL properties - e.g., worksFor\n</ol>\n<p>&nbsp
 ;</p>\n<p>Participants identify what the key things are in everyday subject
 s such as healthcare and finance and how they are related to each other.&nb
 sp;We start to build an ontology in healthcare, using this as a driver to i
 ntroduce needed constructs in OWL. We demonstrate how to formally describe 
 the meaning of concepts. We introduce some common patterns and pitfalls. We
  show how inference can assist the ontology engineering process.&nbsp;Key t
 opics and learning points will be:</p>\n<p>&nbsp;</p>\n\n
 An ontology is a model of some subject matter that you care about.&nbsp;It 
 is represented as triples.\n
 The ontology is a semantic schema that gives the data meaning.\n
 Inference generates new triples and helps to ensure the correctness of the 
 ontology.\n
 We present some of the more widely used patterns and most common pitfalls.&
 nbsp;\n\n<p>&nbsp;</p>\n<p>PART 2:&nbsp;Enterprise Ontology: a hot knife th
 rough complexity - An enterprise ontology is a small and elegant representa
 tion of the core concepts in your enterprise that are stable over time.&nbs
 p;We introduce gist, an upper enterprise ontology containing a set of gener
 ic enterprise concepts used to kick-start enterprise ontology development. 
 Its scope includes people, organizations, agreements, physical things, plac
 es, content, time, and events. We explain how enterprise ontology is used t
 o create semantic solutions that are much simpler than conventional solutio
 ns. Removing so much complexity is the key to agility and is a natural fit 
 for a data-centric architecture.</p>\n<p>&nbsp;</p>\n\n
 URIs and triples make it possible to share schema and dramatically simplifi
 es data and application integration\n
 gist: an Upper Enterprise Ontology so you don&rsquo;t have to reinvent the 
 wheel\n
 Using an enterprise ontology underpins a data-centric architecture and is t
 he key to avoiding the creation of more silos\n
 Building a semantic application using SPARQL, SHACL, and R2RML\n
 Case studies\n
 How does governance work for ontologies and semantic solutions?\n\n
DTSTART:20190322T083000
SUMMARY:Ontology Design and Engineering
DTEND:20190322T114459
LOCATION: See Description
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