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DESCRIPTION:Click for Latest Location Information: http://das2018.dataversi
 ty.net/sessionPop.cfm?confid=124&proposalid=9970\n<p>Effective tools for da
 ta discovery are critical for the success of Enterprise Data Lakes in pract
 ice. Ontology-driven data discovery is gaining rapid attention. However, mo
 st of EIM is conducted using traditional (or proprietary) catalog/informati
 on management tools, and migration is not easy from both the technical and 
 the business perspective. Also, scaling up using current semantic-web/ontol
 ogy tools is challenging. It is important to take all these considerations 
 into account for effective EIM. This talk is aimed at providing some though
 ts on this&nbsp;problem from an end-to-end EIM perspective.</p>\n<p>The IBM
  Global Chief Data Office manages the Cognitive Enterprise Data Platform (C
 EDP) at IBM. We present some thoughts and pragmatic experiences while imple
 menting (semi-)automated tools for:</p>\n<ol>\n
 Annotation of&nbsp;data to enterprise vocabulary/ontology during data inges
 tion\n
 Merging traditional catalog/metadata management tools and ontology-driven m
 ethods\n	Management of enterprise ontology\n
 Leveraging the ontology for data&nbsp;discovery\n
 Leveraging &ldquo;external&rdquo; ontology models\n</ol>\n
DTSTART:20181011T105000
SUMMARY:Enabling Ontology-Driven Data Discovery on Enterprise Data Lakes - 
 An End-to-End Perspective
DTEND:20181011T114959
LOCATION: See Description
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