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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
Roadmap for the next 60 minutes BI and Semantics Semantic annotation – IE Intelligent Web page Information worker Semantic advisor Personalization Summary and outlook
BI and Semantics Our problem – Information overflow
Semantics and BI - What is it?  “  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 “ “ Semantics is the study of meaning”
BI Objectives and Challenges Provide early warning Aid decisions / actions of management  Know your business partner Assess and monitor competitors Know your customer / supplier Support strategy development and planning for the business Finding order in often chaotic masses of data Narrow down the set of possibilities
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
Semantic tagging Natural Language Processing and Information Extraction
Ontology and Information Extraction (IE) Knowledge generation (RDF)
Process diagram Demo
Intelligent Web pages Intelligent Web pages for better decision making - Easy-to-implement for news/media providers
Evolution semantic annotation HTML HTML + MF HTML + RDF Resource Description Framework http://www.w3.org/RDF/ Microformats http://microformats.org/
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
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
Architecture and Process Demo
Information worker Business Portal linked to CRM, Outlook and mobile devices
Linking it together Outlook CRM  iPhone Databases Internet ERP Stock market Ontos  semantic content Demo
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
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 ...
Semantic product advisor Supporting client advisor in customer discussion
The Client Advisor (CA) challenge
How semantics can help a client advisor DB with own products Semantic DB Business News Competitor Products Product Advisor Portal “project draft”
Private investigator „ white color crime“
IE and Analytics using OM as Web Service OM Web Service OntosMiner
Personalization How the system can be adapted to personal needs
Semantic Queries “RSS” Mobile/PDA e.g. iPhone Reader e.g. Outlook RDF – Knowledge Base
NLP and IE adaptation NLP External Vocab Voc Convertor Internet Corporate Vocabs User Vocabs Texts
Summary and outlook
Conclusion & Outlook Conclusion Semantic today can help with information overflow by: NLP and IE for text Ontology engineering and RDBMS mapping Outlook Semantic Search Reasoning Extending domain ontology Broadcast, video, speech
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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Ontos Integration Of Semantic Resources For Business Intelligence San Jos 2008 Final

  • 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. Roadmap for the next 60 minutes BI and Semantics Semantic annotation – IE Intelligent Web page Information worker Semantic advisor Personalization Summary and outlook
  • 3. BI and Semantics Our problem – Information overflow
  • 4. Semantics and BI - What is it? “ 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 “ “ Semantics is the study of meaning”
  • 5. BI Objectives and Challenges Provide early warning Aid decisions / actions of management Know your business partner Assess and monitor competitors Know your customer / supplier Support strategy development and planning for the business Finding order in often chaotic masses of data Narrow down the set of possibilities
  • 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. Semantic tagging Natural Language Processing and Information Extraction
  • 8. Ontology and Information Extraction (IE) Knowledge generation (RDF)
  • 10. Intelligent Web pages Intelligent Web pages for better decision making - Easy-to-implement for news/media providers
  • 11. Evolution semantic annotation HTML HTML + MF HTML + RDF Resource Description Framework http://www.w3.org/RDF/ Microformats http://microformats.org/
  • 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. 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
  • 15. Information worker Business Portal linked to CRM, Outlook and mobile devices
  • 16. Linking it together Outlook CRM iPhone Databases Internet ERP Stock market Ontos semantic content Demo
  • 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. 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. Semantic product advisor Supporting client advisor in customer discussion
  • 20. The Client Advisor (CA) challenge
  • 21. How semantics can help a client advisor DB with own products Semantic DB Business News Competitor Products Product Advisor Portal “project draft”
  • 22. Private investigator „ white color crime“
  • 23. IE and Analytics using OM as Web Service OM Web Service OntosMiner
  • 24. Personalization How the system can be adapted to personal needs
  • 25. Semantic Queries “RSS” Mobile/PDA e.g. iPhone Reader e.g. Outlook RDF – Knowledge Base
  • 26. NLP and IE adaptation NLP External Vocab Voc Convertor Internet Corporate Vocabs User Vocabs Texts
  • 28. Conclusion & Outlook Conclusion Semantic today can help with information overflow by: NLP and IE for text Ontology engineering and RDBMS mapping Outlook Semantic Search Reasoning Extending domain ontology Broadcast, video, speech
  • 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

Editor's Notes

  • #2: Introduce the people and the company in brief Ontos founded 2001, HQ in Switzerland etc.