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Ontos Integration Of Semantic Resources For Business Intelligence San Jos 2008 Final

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San Jose 2008, Semantic Business Intelligence presentation

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Ontos Integration Of Semantic Resources For Business Intelligence San Jos 2008 Final

  1. 1. Semantic Technology @ San Jose May 22, 2008 - Time 9:45 AM - 10:45 AM Integration of Semantic Resources for Business Intelligence Daniel Hladky, CEO Ontos AG 2560 Nidau, Switzerland www.ontos.com [email_address] Source: c’t 2007
  2. 2. Roadmap for the next 60 minutes <ul><li>BI and Semantics </li></ul><ul><ul><li>Semantic annotation – IE </li></ul></ul><ul><ul><ul><li>Intelligent Web page </li></ul></ul></ul><ul><ul><ul><li>Information worker </li></ul></ul></ul><ul><ul><ul><li>Semantic advisor </li></ul></ul></ul><ul><ul><li>Personalization </li></ul></ul><ul><li>Summary and outlook </li></ul>
  3. 3. BI and Semantics Our problem – Information overflow
  4. 4. Semantics and BI - What is it? <ul><ul><li>“ The key to success in today’s business environment lies in spotting a pattern with the fewest possible facts - before it is too late to respond and before the pattern is so obvious that your competitors catch on first “ </li></ul></ul><ul><ul><li>“ Semantics is the study of meaning” </li></ul></ul>
  5. 5. BI Objectives and Challenges <ul><li>Provide early warning </li></ul><ul><li>Aid decisions / actions of management </li></ul><ul><li>Know your business partner </li></ul><ul><ul><li>Assess and monitor competitors </li></ul></ul><ul><ul><li>Know your customer / supplier </li></ul></ul><ul><li>Support strategy development and planning for the business </li></ul><ul><li>Finding order in often chaotic masses of data </li></ul><ul><li>Narrow down the set of possibilities </li></ul>
  6. 6. The Intelligence pyramid ACTION DECISION Actionable Intelligence Intelligence Knowledge Information DATA LISTEN Intelligence based action options Predicting what will happen when Understand why - what will happen Bring order
  7. 7. Semantic tagging Natural Language Processing and Information Extraction
  8. 8. Ontology and Information Extraction (IE) Knowledge generation (RDF)
  9. 9. Process diagram Demo
  10. 10. Intelligent Web pages Intelligent Web pages for better decision making - Easy-to-implement for news/media providers
  11. 11. Evolution semantic annotation HTML HTML + MF HTML + RDF Resource Description Framework http://www.w3.org/RDF/ Microformats http://microformats.org/
  12. 12. Semantics as microformats Example: Contact ( hCard ) <address class=&quot;vcard&quot;> <span class=&quot;adr&quot;> <span class=&quot;fn org&quot;>Ontos AG</span><br /> <span class=&quot;street-address&quot;>Mittelstrasse 24</span> <br /> <span class=&quot;postal-code&quot;>2560</span> <span class=&quot;locality&quot;>Nidau</span> </span><br /> Telefon: <span class=&quot;tel&quot;>+41 (0)32 332-8270/span><br /> <span class=&quot;tel&quot;> <span class=&quot;type&quot;>Fax</span>: <span class=&quot;value&quot;>+&quot;>+41 (0)32 332-9152</span> </span><br /> E-Mail: <a href=&quot;mailto:info@ontos.com&quot; class=&quot;email&quot; >info@ontos.com</a> <br /> Web: <a href=&quot;http://www. ontos.com/&quot; class=&quot;url&quot; >www. ontos.com</a> </address> Demo
  13. 13. Semantic using RDF SAP AG the leader in ERP with headquarter in Walldorf , Germany sent out a notice to employees that the deck chairs will be realigned following its megamerger with Business Objects , according to sources close to the company. Henning Kagermann the CEO of SAP reported to the press that this is a big step forward. Concept Instanz Relation/Axiom Subject – Predicate – Object (RDF) SPARQL Demo RDF store Firma Ort Stadt Land SAP Germany Walldorf Bus.Object Person Ist_in kauft Teil_von H. Kagermann CEO
  14. 14. Architecture and Process Demo
  15. 15. Information worker Business Portal linked to CRM, Outlook and mobile devices
  16. 16. Linking it together Outlook CRM iPhone Databases Internet ERP Stock market Ontos semantic content Demo
  17. 17. Information worker using MS Outlook ERP Content Source for: Business Process Data (Invoice, order, customers etc) Content Source for: Contracts, proposal, calculations, guidelines FileServer / DMS Outlook/Exchange Server Content Source for: Emails Content Source for: Public customer info like news, stock market Information worker using Outlook Data Archive
  18. 18. Link users to existing dashboards, reports or analytics „semantic desktop“ Marketing/Sales guy writing an E-mail to an existing customer... Overall sales statistics For Mr. Prior Product overview statistic Order segmentation chart Dear Mr. Prior , Referring to your order # 223-88 for product XYZ ...
  19. 19. Semantic product advisor Supporting client advisor in customer discussion
  20. 20. The Client Advisor (CA) challenge
  21. 21. How semantics can help a client advisor DB with own products Semantic DB Business News Competitor Products Product Advisor Portal “project draft”
  22. 22. Private investigator „ white color crime“
  23. 23. IE and Analytics using OM as Web Service OM Web Service OntosMiner
  24. 24. Personalization How the system can be adapted to personal needs
  25. 25. Semantic Queries “RSS” Mobile/PDA e.g. iPhone Reader e.g. Outlook RDF – Knowledge Base
  26. 26. NLP and IE adaptation NLP External Vocab Voc Convertor Internet Corporate Vocabs User Vocabs Texts
  27. 27. Summary and outlook
  28. 28. Conclusion & Outlook <ul><li>Conclusion </li></ul><ul><li>Semantic today can help with information overflow by: </li></ul><ul><ul><li>NLP and IE for text </li></ul></ul><ul><ul><li>Ontology engineering and RDBMS mapping </li></ul></ul><ul><li>Outlook </li></ul><ul><li>Semantic Search </li></ul><ul><li>Reasoning </li></ul><ul><li>Extending domain ontology </li></ul><ul><li>Broadcast, video, speech </li></ul>
  29. 29. Any Questions? Thank You! Daniel Hladky CEO Ontos International AG Mittelstrasse 24, 2560 Nidau [email_address] Mobile: +41 79 353 50 43 Tel.: +41 32 332 82 70 Fax: +41 32 332 92 52

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