Using Semantics to Extract and Manage Information from Unstructured Sources
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  Kevin Lynch   Kevin Lynch
  Christine Connors   Christine Connors


Tuesday, November 29, 2011
01:00 PM - 04:15 PM
Level:  Technical - Introductory

Location:  Room 1BC

Organizations are increasingly looking for ways to get useful insights out of ALL their relevant stores of information, and the oft-quoted estimate is that 80% of that data is locked up in inaccessible, unstructured sources such as documents, emails, web sites or images. Semantic technologies are key to accomplishing these objectives, with recent advances in natural language tools, machine learning and visual interfaces making it possible to manage unstructured information much faster, cheaper, and more accurately than ever before. This tutorial will explain the technological requirements for managing your unstructured data, how to establish a semantically-enabled platform, and how to start getting value from all that newly accessible information. Topics will include:
  • Content Creation and Management
  • Cataloging, Classification and Annotation
  • Search
  • Information Extraction
  • Content Delivery, Access and Visualization
  • Querying, Analyzing and Processing
  • Integrating with BI and other reporting systems
These components are at varying levels of maturity in terms of their semantic capabilities. In fact, all of these components do not require semantic capabilities at the start in order for a platform to be successful.

Kevin Lynch was the Project Manager and database architect for COPLINK, a national data warehousing project to integrate law enforcement databases that became a national model for intelligence sharing between law enforcement agencies. A blogger and associate of TriviumRLG, his focus is on semantic infrastructure for systems integration.

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 internal information via a multi-vendor retrieval platform.

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