Webinar: Getting Started With Unstructured Data

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About the Presentation

What is “unstructured data,” and how does it differ from “structured data?” And what really is “semi-structured data?” How do I know which kind I have, and what kinds of technologies can I use to manage it?

In this non-technical presentation you will discover:

  • Content Delivery, Access and Visualization

  • Querying, Analyzing and Processing

  • Integrating with BI and other reporting systems

You will end the session with the knowledge of how to identify which kind of data you are dealing with; which techniques and platform components you can choose to manage your data; and the typical business requirements that will help you make the right management choices.


About the Speakers

Christine Connors & Kevin Lynch

Ms. Connors has extensive experience in taxonomy, ontology and metadata design and development. Prior to forming TriviumRLG Ms. Connors was the global director, semantic technology solutions for Dow Jones, responsible for partnering with business champions across Dow Jones to improve digital asset management and delivery. In that position, she managed a worldwide team responsible for the development of taxonomies, ontologies and metadata that are used to add value to Dow Jones news and financial information products. Ms. Connors also served as business champion for the Synaptica® software application, including managing a US- based team of software developers, and supported Dow Jones consulting practices worldwide, which deliver end-to-end information access solutions based on taxonomies, metadata and semantic technologies. Prior to joining Dow Jones Ms. Connors was a knowledge architect at Intuit, where she was responsible for introducing semantic technologies to online content management and search. And before that, she was a Metadata Architect at Raytheon Company and Cybrarian at CEOExpress Company. At Raytheon Company she oversaw knowledge representation and enterprise search, delivering large-scale taxonomies, metadata schema and rules-based classification to improve retrieval of petabytes of internal information via a multi- vendor retrieval platform.

Kevin was the database architect and project manager of COPLINK, a National Institute of Justice-funded program that became a national model for law enforcement information analysis and sharing based on his dissertation work. Kevin received his PhD and Master’s degrees in Management Information Systems from the University of Arizona. Kevin’s dissertation focused on data management in collaborative systems, and his publications have appeared in 1) IEEE Transactions on Systems, Man, and Cybernetics, 2) the International Journal of Man-Machine Studies, and 3) IEEE Expert.

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