Marc Ont X

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Short presentation about MarcOntX agent.

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  • My name is Michal Nowacki , I am a Inern Researcher at DERI Galway
  • Marc Ont X

    1. 1. MarcOnt X Agent Introduction to the concept of automatic suggestions to the ontology. Michał Nowacki Digital Enterprise Research Institute National University of Ireland, Galway michal.nowacki @deri.org
    2. 2. Outline <ul><li>Questions to be answered in next 10 min: </li></ul><ul><li>What problems do we come across while developing ontologies? </li></ul><ul><li>What is MarcOntX and how does it work? </li></ul><ul><li>What problems are to be solved in the future? </li></ul>
    3. 3. Ontology development (1) <ul><li>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. </li></ul><ul><li>. </li></ul>
    4. 4. Ontology development (2) <ul><li>Second approach of the ontology development is automatic machine learning. We provide multiple data and use learning methods to extract knowledge from them. </li></ul>
    5. 5. Problems <ul><li>What if we want to incorporate a part of external ontology? </li></ul><ul><li>What should we do when our domain is very data-intensive and it is almost impossible to cover it only by collaborative means? </li></ul>
    6. 6. Solution (1) <ul><li>A man can do this, but often it is not the most efficient way…. </li></ul>
    7. 7. Solution (2) <ul><li>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. </li></ul><ul><li>Thanks to the fact, that MarcOntX is automatic and fast, we save time and are closer to success! </li></ul>
    8. 8. How does it work? <ul><li>MarcOnt Portal – collaborative ontology development </li></ul>
    9. 9. How does it work (2) <ul><li>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. </li></ul>
    10. 10. How does it work (3) <ul><li>Ontology learning </li></ul>
    11. 11. Problems to solve in the future <ul><li>Should every single change be turned into a suggestion? That could flood as with suggestions. </li></ul><ul><li>How to evaluate the quality of suggestion? </li></ul>
    12. 12. Epilogue <ul><li>The idea is ready, now we only need to implement it. </li></ul>
    13. 13. References <ul><li>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] </li></ul>

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