Copyright 2006 Digital Enterprise Research Institute. All rights reserved.

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MarcOnt X Agent

Introduction to the concept of automatic suggestions to the ontology.

Michał NowackiDigital Enterprise Research Institute

National University of Ireland, Galway

michal.nowacki@deri.org

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Outline

Questions to be answered in next 10 min:

• What problems do we come across while developing ontologies?

• What is MarcOntX and how does it work?• What problems are to be solved in the future?

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Ontology development (1)

Group of people reaches the agreement on the semantic description of a part from ‘real’ life. The wider the domain is the more fierce the discussion are.

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Ontology development (2)

Second approach of the ontology development is automatic machine learning. We provide multiple data and use learning methods to extract knowledge from them.

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Problems

• What if we want to incorporate a part of external ontology?

• What should we do when our domain is very data-intensive and it is almost impossible to cover it only by collaborative means?

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Solution (1)

• A man can do this, but often it is not the most efficient way….

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Solution (2)

Other solution is to automate this processes, and here the idea of MarcOntX agent was born. It is a tool, that supports easy integration of the ontology with an external one.

Thanks to the fact, that MarcOntX is automatic and fast, we save time and are closer to success!

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How does it work?

• MarcOnt Portal – collaborative ontology development

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How does it work (2)

• JeromeDL users can add new items to the library, described with MarcOnt ontology concepts, or with new concepts they find necessary which do not exist in MarcOnt ontology.

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How does it work (3)

• Ontology learning

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Problems to solve in the future

• Should every single change be turned into a suggestion? That could flood as with suggestions.

• How to evaluate the quality of suggestion?

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Epilogue

The idea is ready, now we only need to implement it.

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References

• www.marcont.org/marcont/pdf/FLIARS-2007.pdf - Extending Community Ontology Using Automatically Generated Suggestions [Vıt Novacek and Maciej Dabrowski and Sebastian Ryszard Kruk and Siegfried Handschuh]