1. http://www.sekt-project.com 1 Building Semantic Applications Paul Warren paul.w.warren@bt.com

2. http://www.sekt-project.com 2 the need for semantics the SEKT solution SEKT partners architecture applications semantic knowledge management

3. http://www.sekt-project.com 3 The need for semantics Knowledge workers overwhelmed by info from intranets, emails, newslines … but still lack vital information 80% of corporate data is unstructured including key business decisions subject to regulation, e.g. SOX Companies suffer from decisions made under incomplete knowledge threat of compliance failure

4. http://www.sekt-project.com 4 We need information … Identified by semantics, not just keywords precise and complete Selected by their interests & task context defined semantically From heterogeneous sources, accessed uniformally Presented meaningfully and appropriately for the user

5. http://www.sekt-project.com 5 In the right form Integrated into the desktop applications Seamless proactive, not reactive Depending on context interests and current activities mobile phone, PDA, blackberry With appropriate visualisation relation between documents & concepts And expressed in natural language where this aids understanding multilingual the need for semantics

6. http://www.sekt-project.com 6 Semantic knowledge management Semantic knowledge management classifies, finds, distributes, shares and uses knowledge based on meaning not the particular words used to represent meaning.

7. http://www.sekt-project.com 7 In three words Semantic knowledge management classifies, finds, distributes, shares and uses knowledge based on meaning not the particular words used to represent meaning. semantic knowledge management

8. http://www.sekt-project.com 8 Words and meanings same word, different meanings different words, same meaning disability legislation equal opportunity laws different words, related meaning trade unioncharitycompany organisation Jaguar semantic knowledge management

9. http://www.sekt-project.com 9 The SEKT solution Finding and sharing knowledge through its semantics for improved precision and recall for the user’s interests and current context Extracting knowledge in a meaningful way, without duplication to create a knowledgebase Reasoning about knowledge Displaying all relevant knowledge information-centric, not document-centric

10. http://www.sekt-project.com 10 Extracting the semantics Information extraction using human language technology Knowledge discovery machine learning and statistical methods Existing metadata, e.g. database schemas mapping and merging the SEKT solution

11. http://www.sekt-project.com 11 The knowledge base the SEKT solution

12. http://www.sekt-project.com 12 Accessing the knowledge base the SEKT solution

13. http://www.sekt-project.com 13 Number sells to operates in employee size Ontology modelling the SEKT solution

14. http://www.sekt-project.com 14 SEKT applications applications intelligent decision support in the legal sector – helping newly appointed judges knowledge management for IT consultants intelligent content management

15. http://www.sekt-project.com 15 Intelligent content management applications based on semantics … not text providing one view to heterogeneous knowledge classifying semantically extracting and presenting visually and in natural language Searching, alerting, sharing …

16. http://www.sekt-project.com 16 Knowledge management applications sharing and reusing knowledge across a global team … … building on Siemens knowledgemotion®

17. http://www.sekt-project.com 17 Intelligent decision support applications a database of frequently asked questions – using semantic distance to identify questions and answers with justification drawn from comprehensive legal databases combining formal and informal knowledge

18. http://www.sekt-project.com 18 More applications … portals intelligent customer contact business intelligence supply chain management semantic desktop enhancing collaboration …. applications

19. http://www.sekt-project.com 19 SEKT architecture architecture knowledge engineering timeapplication run-time persistent data Device-Independent Web Application Framework Applications, e.g. search & browse, legal decision support SEKT Integrated Platform (SIP) Knowledge engineering environment (OntoStudio) Ontology, annotation and mapping editors Ontology management and reasoning (KAON2)

20. http://www.sekt-project.com 20 Run-time Supporting users in their knowledge work generic applications: search & browse knowledge sharing knowledge alerting specific applications legal decision-making business intelligence, CRM, collaboration …

21. http://www.sekt-project.com 21 Knowledge engineering Enriching information with meaning Creating and editing ontologies with automatic assistance Annotating documents with respect to an ontology editing automatically-created annotations Creating ontology mappings editing automatically-created mappings

22. http://www.sekt-project.com 22 Applications and training Intelligent content management http://www.bt.com Knowledge management http://www.empolis.com http://www.sbs.siemens.com Legal decision support http://www.isoco.com http://www.uab.es Training http://www.keapro.net SEKT partners

23. http://www.sekt-project.com 23 Tools End-user tools http://www.bt.com visualisation ~ iSOCO profiling ~ Jozef Stefan Institute language generation ~ University of Sheffield Editor & annotation tools http://www.ontoprise.de SEKT partners

24. http://www.sekt-project.com 24 Enabling components evOWLution - managing & evolving knowledge models Text2Onto – ontology learning from text http://www.aifb.uni-karlsruhe.de GATE information extraction http://nlp.shef.ac.uk TextGarden knowledge discovery http://www.ijs.si PROTON – knowledgebase KIM – semantic annotation & retrieval http://www.ontotext.com SEKT partners

25. http://www.sekt-project.com 25 Applications & systems integration Knowledge management Empolis GmbH - Ralph Traphöner ralph.traphoener@empolis.com Siemens Business Service – Dirk Ramhorst dirk.ramhorst@siemens.com Legal decision support iSOCO – Richard Benjamins rbenjamins@isoco.com UAB Institute of Law and Technology – Pompeu Casanovas pompeu.casanovas@uab.es Intelligent content management British Telecommunications Plc - John Davies john.nj.davies@bt.com SEKT partners

26. http://www.sekt-project.com 26 Tools & services knowledge models & knowledge software Ontoprise GmbH info@ontoprise.de Ontotext Lab, Sirma info@ontotext.com training kea-pro GmbH info@keapro.net SEKT partners

27. http://www.sekt-project.com 27 Research partners AIFB, University of Karlsruhe Rudi Studer - studer@aifb.uni-karlsruhe.destuder@aifb.uni-karlsruhe.de Department of Computer Science, University of Sheffield Hamish Cunningham - hamish@dcs.shef.ac.ukhamish@dcs.shef.ac.uk Dept. of Intelligent Systems, Jozef Stefan Institute Marko Grobelnik - Marko.Grobelnik@ijs.siMarko.Grobelnik@ijs.si AI Department, Vrije Universiteit Amsterdam Frank van Harmelen - Frank.van.Harmelen@cs.vu.nlFrank.van.Harmelen@cs.vu.nl Institute of Computer Science, University of Innsbruck Dieter Fensel – dieter.fensel@uibk.ac.atdieter.fensel@uibk.ac.at SEKT partners

28. http://www.sekt-project.com 28 The SEKT partners kea-pro University of Sheffield