collaborative editing of ontologies using fluent editor and ontorion

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Collaborative editing of Ontologies using Fluent

Editor and OntorionAlessandro Seganti, Ph.D.

Data Engineer

[email protected]

http://www.cognitum.eu/




Who we are : Cognitum

Ontorion Controlled Natural Language (OCNL)

Fluent Editor

Ontorion Server

Ask Your Data Anything (ADA)





Ontorion Key Features Full OWL2/SWRL support

OWL2 and SWRL implementation. XML/OWL or RDF/XML formats can be imported directly.

Description Logic engineOWL-DL (SROIQ) and OWL-RL+ logics are supported.

OWL API compatibleFull OWL API (v.3) compatibility.

CNL readyControlled Language direct support for English, Polish and other languages.

Cloud readyWindows Azure deployment ready with Cassandra clusters. Any cloud IaaS can be supported.

Automated reasoningBuilt-in reasoning service. Both active and pro-active.

Collaborative Knowledge EditingThis powerful feature allows many end-users to edit stored knowledge simultaneously with well-known update/commit scenario (real-time).

ScalabilityHuge knowledge bases (ontologies) can be processed and accessed. Simply add more clusters to your deployment.

Safety Redundancy of datasets and spatial cluster decomposition.

Active rulesProgram rules for agent based programming.

Linked Data compatibleRDF/SPARQL module can boost SPARQL queries against cashed knowledge.

Security and AuditingRestrict access on authorisation basis and audit knowledge change history.





Collaborative knowledge editing in Fluent Editor





Ontorion modularization

Mark

John

man human-being woman

Mary

Kathy

high-womanis

is

is isis

is

is

likes





mary.rose connected @localhost john.doe connected @localhost






A new sentence is typed locally by John






In the bottom left corner, Fluent Editor show Mary that the knowledge needs to be resynced.






The sentence is downloaded in the knowledge that Mary was using.





Multi-user knowledge editing/exploration





Multi user knowledge editing

Generic components for multiuser editing and exploring of large ontologies

Scalable solution (Ontorion as a backend)

Easy CNL interface

Customizable





Multiuser knowledge exploration/editing





Multiuser knowledge editing/exploration





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...)





Thank you!Alessandro Seganti

Data Engineer

[email protected]

Cognitum Sp. z o.o.Wal Miedzeszynski 630, Warsaw, Poland

http://www.cognitum.eu/, [email protected]

Windows Azure Circle Partner

MEMBER



collaborative editing of ontologies using fluent editor and ontorion

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