Becoming Data-Centric with Semantics

What is it?

This is an interactive training webinar on how and why you should be beginning your journey to becoming Data-Centric. There will be eight 50 minute sessions with a 10 minute bio and email break every hour. There will be an hour allotted to lunch, which you will have to provide your own.

To increase engagement throughout the training, we ask that you have your video camera on, that you participate in exercises and help to direct the conversation. This is not going to be a passive training  like so many you’ve been attending during shelter in place. Dress code is shelter in place business casual.

We will have an outline of the topics we expect to cover. Our intent is to introduce a few concepts, and then ask the trainees how they would like to pursue each topic (examples, hands on, white board session, Q&A etc). Every hour or so we will change topics.

The course “Becoming Data Centric” gave me a quantum step up in my understanding of how to use the data-centric concepts.  The structure of the course allowed for lots of informal discussion and interaction, and participants were encouraged to bring questions.  The time went quickly as we went step by step through hands-on exercises to get the feel of how to construct an ontology, use an inference engine, and do queries across multiple graphs created by people in the class.  In addition, the course prep and follow-up material are excellent.  If you are interested in turning the powerful data-centric theory into transformational practice, take this course.

– Phil Blackwood, AT&T, Enterprise Architect

You will connect to the training webinar using Zoom, details will be sent prior to the event.

Agenda

What is Data-Centric & Why Should You Care?

  • Our definition, and the key enabling technology.
  • Who is already Data-Centric
  • What routes are there to get there?
  • What are the economics of data-centric?
  • Triples as the fundamental unit of graph databases.
  • URIs and their role in Global Identifiers and self-joining data structures.

Sparql & Triple stores

  • The different types of graph databases and in particular RDF triple stores
  • DBPedia
  • How triples are created from text?
  • How to query a triple store?
  • What is a sparql end point?
  • Examples of  basic queries

Classes and Properties

  • Intro to Protégé
  • lightweight ontology modeling with classes and properties.
  • Example of very simple inferencing

Formal Definitions

  • Introduction and hands on with a few simple restrictions and Boolean class definitions
  • Hands on with Protégé.

SPARQL Meta Queries

  • How to conduct directed exploration in a triple store?

Design thinking

  • How to think about your problem space?
  • How to plan a project and where to start?

I came into the “Becoming Data-Centric Training” with a good knowledge of RDF and semantic principles but was pleased to gain a much deeper insight into the theory, tools, and publicly available datasets in this class. Dave’s approach in taking the larger conceptual framework for data-centric design, paired with the hands-on execution of this framework in sample problems was very helpful in solidifying my understanding. I recommend this course to anyone who works with data, as my eyes were truly opened to the future of data as a first-class citizen - where applications simply provide a viewport to the data, as opposed to the current standard for middle and front-tier logic that often discounts the true value that is the facts and data.

-Jay Wall, Director of Partner Enablement, Fluree PBC

Who is the Facilitator?

Dave McComb is the President and co-founder of Semantic Arts. He and his team of consultants help enterprises uncover the meaning in the data from their information systems. Semantic Arts guide and coach organizations through implementation “best practices” of Data-Centric principles by leveraging Ontology and Semantic Knowledge Graph capabilities. Dave is also the author of “The Data-Centric Revolution”, “Software Wasteland” and “Semantics in Business Systems”. For 20 years, Semantic Arts has helped firms of all sizes in this endeavor, including Proctor & Gamble, Goldman Sachs, Schneider-Electric, Lexis Nexis, Dun & Bradstreet, and Morgan Stanley. Prior to Semantic Arts, Dave co-founded Velocity Healthcare, where he developed and patented the first fully model driven architecture. Prior to that, he was a part of the problem.