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A Tool to Support Ontology Creation Based on Incremental Mini-ontology Merging

The tool tango supports ontology-based information extraction, robust to change, multi-slot filling, and source-independent. It automatically infers unknown objects and relations into ontologies, tackling drawbacks of manual ontology generation. The flow of ontology integration includes conflict detection, mapping techniques, and ontology consistency checking. With ontology merging features like name, composition/decomposition, and relationship set conflict detection and merging, the tool allows for enhancement and refinement by human experts.

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A Tool to Support Ontology Creation Based on Incremental Mini-ontology Merging

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  1. A Tool to Support Ontology Creation Based on IncrementalMini-ontology Merging Zonghui Lian

  2. Introduction • Ontology-based information extraction • Robust to change • Multi-slot filling • Source-independent • Drawback: ontology has to be generated manually • Tango (Table ANalysis for Generating Ontologies) An information gathering engine that infers the unknown objects and relations in a known context into ontologies automatically

  3. TANGO

  4. TANGO • Source table understanding • Constraints discovery • Concept matching • Ontology merging • Domain ontology adjusting

  5. User’s interactions Ontology mapping KB conflict checking Make suggestion Ontology Merging The Flow of Ontology Integration Mini-ontology Data storage

  6. Research Issues • Name conflict detection • Union/selection detection and merging • Composition/decomposition detection and merging • Constraint conflict detection • Relationship set conflict detection • New concept detection and merging • Ontology consistency checking after integration

  7. Name Conflict Detection

  8. Union/Selection Detection & Merging Graduate Student is a subset of Student

  9. Composition/Decomposition Detection & Merging Name = First Name + Last Name

  10. Constraint Conflict Detection

  11. Constraint Conflict Detection

  12. Relationship Set Conflict Detection ?

  13. Relationship Set Conflict Detection

  14. Other Issues • New concept detection and merging • Ontology consistency checking after mapping

  15. Ontology Mapping • Based on mapping technique introduced in EXD04 • Need to make improvement and change according to the requirements of ontology mapping

  16. Ontology Mapping • Data-value characteristics detection • Schema mapping: data values in tables • Ontology mapping: dictionaries & data values in a set of source tables • Reference ontology inference • Schema mapping: reference ontology • Ontology mapping: data frame library (option)

  17. Ontology Mapping • New concept detection • Schema mapping: none • Ontology mapping: mark unmatched attributes

  18. Ontology Mapping • Relationship set mapping • Schema mapping: none • Ontology mapping

  19. Ontology Mapping Person|Student has Name Graduate Student has Name

  20. Phone Extension Ontology Mapping ?

  21. Ontology Mapping • Detailed mapping information detection • Schema mapping: need to be improved • Ontology mapping: • Base on values to detect subset/superset and merge/split • Human experts refine interactively

  22. Ontology Merging • Name conflict • Based on growing ontology • Union/selection merging • Generalization/specialization

  23. Graduate Student is a subset of Student

  24. Ontology Merging • Composition/decomposition merging • Aggregation

  25. Name = First Name + Last Name

  26. Ontology Merging • Relationship set merging • Map w/out conflicts: merge • Map with conflict(s): • Fake conflicts: resolve the conflict • Real conflicts: Add new relationship set(s) or change the current one

  27. Evaluation • Users • A package (more than just software) • Users’ report • Analysis • Precision

  28. Contributions • Can extend DEG's ontology-based data extraction system with a set of ontology growing features • Can contribute to generate a domain-specific ontology with minimal human intervention

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