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Collaborative editing of Ontologies using Fluent Editor and Ontorion

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Presentation from 12th OWL: Experiences and Directions Workshop (OWLED) which was held between 9th – 10th October 2015, Bethlehem, Pennsylvania, U.S.A.
Alessandro Seganti presented how we can use Fluent Editor and Ontorion to build a collaborative editing tool for large ontologies that uses controlled natural language and modularization.
You can also read an article: http://goo.gl/L3l3HT

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Collaborative editing of Ontologies using Fluent Editor and Ontorion

  1. 1. 1 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. Collaborative editing of Ontologies using Fluent Editor and Ontorion Alessandro Seganti, Ph.D. Data Engineer a.seganti@cognitum.eu
  2. 2. 2 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. Who we are : Cognitum  Ontorion Controlled Natural Language (OCNL)  Fluent Editor  Ontorion Server  Ask Your Data Anything (ADA)
  3. 3. 3 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. Ontorion Key Features  Full OWL2/SWRL support OWL2 and SWRL implementation. XML/OWL or RDF/XML formats can be imported directly.  Description Logic engine OWL-DL (SROIQ) and OWL-RL+ logics are supported.  OWL API compatible Full OWL API (v.3) compatibility.  CNL ready Controlled Language direct support for English, Polish and other languages.  Cloud ready Windows Azure deployment ready with Cassandra clusters. Any cloud IaaS can be supported.  Automated reasoning Built-in reasoning service. Both active and pro-active.  Collaborative Knowledge Editing This powerful feature allows many end-users to edit stored knowledge simultaneously with well-known update/commit scenario (real-time).  Scalability Huge knowledge bases (ontologies) can be processed and accessed. Simply add more clusters to your deployment.  Safety Redundancy of datasets and spatial cluster decomposition.  Active rules Program rules for agent based programming.  Linked Data compatible RDF/SPARQL module can boost SPARQL queries against cashed knowledge.  Security and Auditing Restrict access on authorisation basis and audit knowledge change history.
  4. 4. 4 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. Collaborative knowledge editing in Fluent Editor
  5. 5. 5 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. Ontorion modularization Mark John man human-being woman Mary Kathy high-woman is is is is is is is likes
  6. 6. 6 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. mary.rose connected @localhost john.doe connected @localhost
  7. 7. 7 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. mary.rose connected @localhost john.doe connected @localhost A new sentence is typed locally by John
  8. 8. 8 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. mary.rose connected @localhost john.doe connected @localhost
  9. 9. 9 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. mary.rose connected @localhost john.doe connected @localhost
  10. 10. 10 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. mary.rose connected @localhost john.doe connected @localhost In the bottom left corner, Fluent Editor show Mary that the knowledge needs to be resynced.
  11. 11. 11 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. mary.rose connected @localhost john.doe connected @localhost
  12. 12. 12 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. mary.rose connected @localhost john.doe connected @localhost The sentence is downloaded in the knowledge that Mary was using.
  13. 13. 13 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. Multi-user knowledge editing/exploration
  14. 14. 14 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. Multi user knowledge editing  Generic components for multiuser editing and exploring of large ontologies  Scalable solution (Ontorion as a backend)  Easy CNL interface  Customizable
  15. 15. 15 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. Multiuser knowledge exploration/editing
  16. 16. 16 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. Multiuser knowledge exploration/editing
  17. 17. 17 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. Multiuser knowledge editing/exploration
  18. 18. 18 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. Conclusion  Presented various solutions for multiuser knowledge exploration/editing  Customizable and scalable  Innovative CNL interface for simple understanding  Various practical cases in which this approach has been applied (rule editing, medical practice, aerospace industry...)
  19. 19. 19 The company, product and service names used in this web site are for identification purposes only. © Cognitum 2014. All trademarks and registered trademarks are the property of their respective owners. Thank you! Alessandro Seganti Data Engineer a.seganti@cognitum.eu Cognitum Sp. z o.o. Wal Miedzeszynski 630, Warsaw, Poland http://www.cognitum.eu/, office@cognitum.eu Windows Azure Circle Partner MEMBER

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