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Thursday, April 26, 2018
08:15 AM - 09:15 AM
Ontologies are models that capture meaning in a machine-readable form. If I told you my parents had three boys, Jim, Daniel, and me, you would know Jim and Daniel were my brothers, even though I didn’t tell you that. With an ontology, you can easily define family relationships, so the computer can infer the unstated fact they are my brothers just like you, a human, can. A traditional data structure would require several joins. A graph database stores the schema and data together, pre-joined in packets called triples, i.e. George isParentOf Mark, Mary isParentOf Jim. The graph database can then be directly queried (with SPARQL) to retrieve the stated and infer the unstated data. But here’s the thing: the ontology creates the mathematical precision to know, not just guess, at the unknown. This IS the next disruptive technology, and you should invest the time to at least understand it!
- Ontologies model meaning with mathematical precision
- Graph databases pre-join data under management
- Ontology-driven data management can accurately infer data that isn’t even there
- Data can be integrated in place by its meaning rather than table and column names
Come find out how ontology-driven systems will replace our current brittle environments.
Enterprise Ontologist and Semantic Data Strategist with over 35 years of professional information management experience in Enterprise Business Data Architecture.
• Data Strategy expert focused on data leadership and enterprise information management strategy development.
• Demonstrated success recruiting key cross-functional business segments to participate in accurate technical articulation and execution of business data goals and objectives.
• Proven expertise extracting business data requirements, developing relationships, and evolving models that execute the enterprise data vision
• Experience in multiple industries including Investment Banking, Pharmaceutical Research, Retail, Health Care, Financial Services, Consulting, Criminal Justice, Insurance, Natural Resources, Petrochemicals, and Software Development, Event Management, and Competitive Athletics
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