The document summarizes the SESAM4 project, which aims to lower barriers for small and medium companies to exploit semantic systems. The project developed open source software, best practices, and tools based on semantic technologies and linked open data. It had 10 partners and was funded for 3 years to work on topics like ontology development, content management integration, and demonstrator applications in tourism.

1. NFR Verdikt Project n o 2342453 Semantic Technology © SESAM4 Consortium 2009 SESAM4 A guide to semantics in the Linked Open Data cloud Presented by Robert HP Engels project leader Semi-semantic Models for Cross-Sector Portals

5. focus on open standards and freeware

6. results shown in different application domains

7. funded by NFR with ca 30% funding

8. 10 partners

9. Consortium Partners...

12. Transforming your business and people,

13. Adapting your business model!

15. To develop methods, models and procedures for semi-automatic generation of ontologies from unstructured text indexes for use as background variables for semantic annotations.

16. To improve, particularly in the area of scalability, current methods for text mining and indexing .

17. To develop methods, models and procedures for integrating content management system based on RDF with content management systems based on Topic Maps and for semantic integration and coordination of large multi lingual content management systems

18. To v erify the functionality and scalability of these semi-automatically generated ontologie s to integrate multiple large scale content management systems

20. project architecture

22. Use Case: Tourism

23. WP R&D: ontology and semantic lifting

24. WP Technology: Semantic Web and ISO stacks

25. WP Best Practices: steps into the “semantic” future

26. some trends

27. Are we able to imagine where it goes?

30. Linked Open Data early 2007 Linked Open Data Middle 2007 Linked Open Data 2008

33. SPARQL query dispatching

34. Pellet reasoning

35. Virtuoso RDF stack (Jena before)

38. implemented in Java

40. TinyTiM - sourceforge

42. first version april '09

43. Pillar: Ontology & Semantic Lifting

44. Lifting structured data – SemEx app

45. Sesam4 background knowledge Sesam4 domain knowledge rdf:Class rdf:Class motorcycle holidays rdf:type rdf:type weaklyRelatedTo MC_001 rdf:type hasColor “ black” “ long” hasSize rdf:Class rdf:Class motorcycle holidays rdf:type rdf:type weaklyRelatedTo MC_001 rdf:type hasColor “ black ” “ long ” hasSize

47. What is “On board”? Information and entertainment system for travellers with aim to give passengers a more meaningful travel

48. Technology 5

49. How does it work? KL 14.06 ..... WgsPos a < http://www.w3.org/2003/01 / geo/wgs84_pos#SpatialThing> ; wgs84:lat_long «7864376,23898” time_slot#737874 a ob:TimeSlot ob:aNewsItem dct:description nrk:#3487 ob:aslotStart «00» ; ob:slotEnd «03» . time_slot#737874 a ob:TimeSlot ob:aNewsItem dct:description nrk:#3487 ob:aslotStart «03» ; ob:slotEnd «07» . .....

51. Infrastructure for real-time event data

52. Demonstration through mobile apps Concept schemes and ontologies Event store (Computas LOD server) Tellus adaptors Forsquare Wikipedia … Android Geo- location iPhone Reverse Geo- location Query Web services (REST) intention and location aware clients services Interest resolver

53. LOD & Company information aggregation

55. Fylkesarkivene – steder

56. DBPedia – POI/personer/steder

57. FourSquare – tweets/evaluations

58. (/w Semicolon): BRREG

60. Artists

62. Norwegian “Public Persons”

63. Pillar Best Practices or “the process to introduce semantics”

65. aimed at Inter-operability through Semantic Technologies

67. Technology for you to use: stacks to get started, lifting existing data for you & let you lift your own data (for internal use?)

68. Best Practices & Guidelines for you to “semanticize your environment” (processes, data, integration)

69. Project Leader Robert H.P. Engels [email_address] Tel: +47 – 99544481 www.sesam4.net