Empowering the Intelligent Enterprise

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Empowering the Intelligent Enterprise

  1. 1. Empowering the Intelligent Enterprise Christine Connors Global Director, Semantic Technology Solutions Dow Jones Enterprise Media Group
  2. 2. Dow Jones: The Business Research Platform
  3. 3. Powering Tomorrow’s Instant Knowledge <ul><li>Semantic Web </li></ul><ul><ul><li>Aggregation of multiple content types </li></ul></ul><ul><ul><li>Meaning and Context </li></ul></ul><ul><ul><li>Natural Language Processing and Machine Learning </li></ul></ul><ul><li>Globalization </li></ul><ul><ul><li>Social Networking </li></ul></ul><ul><ul><li>Mobility </li></ul></ul><ul><li>Visualization of information </li></ul>
  4. 4. <ul><li>What is the Semantic Web? </li></ul><ul><ul><li>A universal medium for exchanging information that can be processed electronically and still have meaning and relevance. </li></ul></ul><ul><ul><li>It provides a common, standardized framework that allows data to be shared and reused across applications, enterprises, and community boundaries. </li></ul></ul>Trend 1: All Data is Meaningless without Context
  5. 5. Hybrid Solution Dow Jones Intelligent Indexing Data Capture Normalizer Data Capture Normalization Quality Control Distribution Editorial Interfaces Content Monitoring & Alerting Information Providers Coding Manual Coding Interface Manual Coding Queue Entity Extraction Categorizer Rules-based Coding Expansion/ Validation
  6. 6. Hybrid Solution <ul><li>Dow Jones Intelligent Indexing™ </li></ul><ul><ul><li>7 million+ company codes </li></ul></ul><ul><ul><li>7 million+ executives </li></ul></ul><ul><ul><li>900+ industry codes </li></ul></ul><ul><ul><li>535+ region codes </li></ul></ul><ul><ul><li>680+ subject codes </li></ul></ul><ul><ul><li>22 language codes </li></ul></ul><ul><li>Generate Indexing </li></ul><ul><ul><li>11.5 million+ companies </li></ul></ul><ul><ul><li>17 million+ person profiles </li></ul></ul>
  7. 7. Linked Raw Data Richard Cyganiak, available from Richard Cyganiak and Chris Bizer As of March 2008
  8. 8. Trend 2: From Aggregator to User to Prosumer Traditional Aggregator Translates and adds metadata to an article User 1 Adds meaning by extending description of existing metadata or adding new metadata User 2 Adds meaning by further extending or adding to existing metadata Next-Gen Aggregator Combines metadata applied by communities of users & sensor networks Shared Meaning Analyzes shared metadata applied by communities of users & sensor networks
  9. 9. Trend 3: Information Anywhere – Mobility
  10. 10. <ul><li>Web-Based: </li></ul><ul><ul><li>Web Applications for Browser (especially iPhone) can be developed to give user a similar experience like a native application </li></ul></ul>You Take It With You
  11. 11. Getting Past Relevancy Overload Information Overload Relevancy Overload What’s important to me right now
  12. 12. Gain a Strategic Vantage Point Discovery Search Visualization Discovery Connections Alerts
  13. 13. Shrinking the Decision Cycle Better decisions. Faster . T I M E Act Decide Analyze and understand Find/ Discover Identify 2012 Act Decide Analyze and understand Find/ Discover Identify 2008 Act Decide Analyze and understand Identify 2005 Search/Gather Decision Point Decision Made Action Taken
  14. 14. Powering the Intelligent Enterprise

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