Semantic Technology in Document Management
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This is the vision of Recognos about the future of Semantic Technology in Document Management. The presentation was created for the SemTech Conference in November, 2011 in Washington DC.
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Semantic Technology in Document Management
- 1. Washington DC, November 2011 George Roth, Adonis Damian www.recognos.com
- 2. A document management system (DMS) is a computer system (or set of computer programs) used to track and store electronic documents and/or images of paper documents. It is usually also capable of keeping track of the different versions created by different users (history tracking). The term has some overlap with the concepts of content management systems. It is often viewed as a component of enterprise content management (ECM) systems and related to digital asset management, document imaging, workflow systems and records management systems. Make the formatted equivalent with non-formatted ! November 2011
- 3. CLASSICAL NEW Metadata Compliance Integration Accessibility Capture Interactivity Indexing Augmentation Storage Translation Retrieval Linking – Relationships Distribution Sentiment Analysis Security New Search (Semantic Tagging, Deep Workflow Search, NL Questions) Collaboration Versioning Search Publishing … November 2011
- 4. Volume Labor extensive The “research project” – 40% – 60% data gathering Metadata independent of content Shallow Search Hard to understand by non-experts November 2011
- 5. NLP Natural Language Processing – understand the meaning of documents (statistic, machine learning, hybrid, graph based) Semantic Search – tagging Data Integration Sentiment Analysis Linked Open Data – Linked Data Inference - Reasoning November 2011
- 6. Inside – Controlled Environment - TRUST Inside – Security issues Same techniques as outside the enterprise Integrates non-formatted with formatted data Easy to measure the effects - ROI Add on to the existing KM models Emerging area – Semantic technologies started on the www November 2011
- 7. New features will become commodity in 2-3 years Compliance Data Extraction, Comparison, Change Analysis Interactivity Augmentation Translation Linking – Relationships Sentiment Analysis New Search (Semantic Tagging, Deep Search, NL Questions) November 2011
- 8. Microsoft: Powerset (Bing), Fast Search, Jinni Google: Freebase, Needlebase Apple: SIRI Etc… November 2011
- 9. Embedded Compliance Rules November 2011
- 10. Example there is a rule: – email – Rule 0134C: “Not allowed to mention a percentage as a profit promise investing with the firm” In an email: “ Dear John, Our company has an amazing method to invest, so that you will make at least 10% profit in 3 months !!!! “ The email was stopped – sent to Compliance with the message: “Violation of the Rule 0134C” November 2011
- 11. MFIP data extraction Link to the original document November 2011
- 12. Data Extraction, Comparison, Change Analysis November 2011
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- 15. Create Alarm when Trading Policy Changes Create Alarm when Commissions Change (fields) Create Alarms when member of the Board Changes November 2011
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- 20. Automated Translation November 2011
- 21. Google Translate Great for simple translation – emails, non technical documents Language Weaver Specialized translation through machine learning Train the system per domains November 2011
- 22. Sentiment Analysis November 2011
- 23. Media Sentry Open Amplify, Expert Systems, Lymbix NLP and machine learning November 2011
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- 32. Complex App Samples November 2011
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- 34. WWW Google Meltwaters Forums / Twitter Facebook Websites Alerts Alerts Blogs Exchange Server External Data Pull Exchange Twitter Facebook 80legs Diffbot Adapter Adapter Adapter Adapter Adapter Internal Message Storage File Server Natural Language Processing Uploaded ESSEX Taxonomy Web User Interface Data Storage MS SQL Server November 2011
- 35. Amdocs AIDA (AMDOCS Intelligent Decision Automation) November 2011
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- 37. Display Linked Data Ask a question – Entity Lookup semantic search November 2011
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- 44. Interactive - Exists Search – Semantic Search, Q&A Semantic Tagging – Summarization LOD with domains Linked : People, Companies, Locations, Specific Terms Example a travel book November 2011
- 45. The following technologies were used: - iQser – GIN - Clark & Parsia – Spanner, StarDog - Expert System – NLP - GATE - Smart Logic – Enterprise Query Platform – Fast Search – Microsoft Sharepoint 11 - Revelytix - Cognition - Franz Systems - DiffBot - Ontotext November 2011
- 46. George Roth President and CEO Recognos Inc. San Francisco www.recognos.com groth@recognos.com Drew Warren CEO Recognos Financial New York dwarren@recognosfinancial.com www.recognosfinancial.com November 2011