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DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi
 ty.net/sessionPop.cfm?confid=121&proposalid=9776\n<p><strong>NOTE: This sem
 inar continues from Thursday afternoon.&nbsp;</strong></p>\n<div>Part 1: In
 troducing Ontology and OWL &ndash; This is a lively interactive session whe
 re we learn together by doing.&nbsp;Building and populating business ontolo
 gies in triple stores is of growing importance to the enterprise, helping t
 o reduce complexity and improve flexibility in enterprise systems.&nbsp;We 
 introduce the following foundational building blocks for an ontology, start
 ing with informal terminology and transitioning to the technical terms of O
 WL.</div>\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>Parti
 cipants identify what the key things are in everyday subjects such as healt
 hcare and finance and how they are related to each other.&nbsp;We start to 
 build an ontology in healthcare, using this as a driver to introduce needed
  constructs in&nbsp;OWL. We demonstrate how to formally describe the meanin
 g of concepts. We introduce some common patterns and pitfalls. We show how 
 inference can assist the ontology engineering process.&nbsp;Key topics and 
 learning points will be:</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>Part 2:&nbsp;Enterprise Ontology: a hot knife through complexit
 y - An enterprise ontology is a small and elegant representation of the cor
 e concepts in your enterprise that are stable over time.&nbsp;We introduce 
 gist, an upper enterprise ontology containing a set of generic enterprise c
 oncepts used to kick-start enterprise ontology development. Its scope inclu
 des people, organizations, agreements, physical things, places, content, ti
 me, and events. We explain how enterprise ontology is used to create semant
 ic solutions that are much simpler than conventional solutions. Removing so
  much complexity is the key to agility and is a natural fit for a data-cent
 ric architecture.</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&nbsp;does&nbsp;governance work for ontologies and semantic solutions?\n
 \n
DTSTART:20180427T083000
SUMMARY:Enterprise Ontology: A Hot Knife Through Complexity
DTEND:20180427T114459
LOCATION: See Description
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