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Semantic Integration: A Survey Of Ontology-Based Approaches
Reference <ul><li>Natalya F. Noy &quot;Semantic Integration: A Survey Of Ontology-Based Approaches,&quot;  SIGMODRecord , ...
Abstract <ul><li>Semantic integration is an active area of research in several disciplines, such as  </li></ul><ul><ul><li...
Ontologies and semantic integration <ul><li>Ontologyis some formal description of  </li></ul><ul><ul><li>A domain of disco...
Ontologies and semantic integration (cont’) <ul><li>The goals of using ontologies is not to have the problem of heterogene...
The types of differences between ontologies <ul><li>Language level mismatches </li></ul><ul><ul><li>The languages can diff...
The types of differences between ontologies (cont’) <ul><li>Ontology level mismatches </li></ul><ul><ul><li>Using the same...
Three dimensions of semantic integration research <ul><li>Mapping discovery </li></ul><ul><li>Declarative formal represent...
Discovering mappings <ul><li>The extensions of ontology </li></ul><ul><ul><li>Finding correspondences between two extensio...
Using a shared ontology <ul><li>A standard upper ontology that will promote  </li></ul><ul><ul><li>data interoperability <...
Using a shared ontology (cont’) <ul><li>Reuse the foundational ontologies </li></ul><ul><ul><li>Facilitate semantic intero...
Ontology alignment <ul><li>Concept names and natural-language descriptions </li></ul><ul><li>Class hierarchy (subclass–sup...
Ontology alignment (cont’) <ul><li>Property definitions (domains, ranges, restrictions) </li></ul><ul><li>Class descriptio...
Representations of mappings <ul><li>Representing mappings as instances in an ontology of mappings </li></ul><ul><li>Defini...
Ontology translation <ul><li>Given the mapping between the source and target </li></ul><ul><li>the mapping and performs in...
Conclusion  <ul><li>Share and reuse the techniques that they have developed in their respective domains </li></ul><ul><li>...
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Semantic Integration

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Transcript of "Semantic Integration"

  1. 1. Semantic Integration: A Survey Of Ontology-Based Approaches
  2. 2. Reference <ul><li>Natalya F. Noy &quot;Semantic Integration: A Survey Of Ontology-Based Approaches,&quot; SIGMODRecord , Vol. 33, No. 4, December 2004. </li></ul>
  3. 3. Abstract <ul><li>Semantic integration is an active area of research in several disciplines, such as </li></ul><ul><ul><li>databases </li></ul></ul><ul><ul><li>information-integration </li></ul></ul><ul><ul><li>Ontologies </li></ul></ul>
  4. 4. Ontologies and semantic integration <ul><li>Ontologyis some formal description of </li></ul><ul><ul><li>A domain of discourse </li></ul></ul><ul><ul><li>Intended for sharing among different applications </li></ul></ul><ul><ul><li>Expressed in a language that can be used for reasoning </li></ul></ul><ul><li>Create artifacts that different applications can share </li></ul>
  5. 5. Ontologies and semantic integration (cont’) <ul><li>The goals of using ontologies is not to have the problem of heterogeneity </li></ul><ul><li>Knowledge sharing </li></ul><ul><li>Mapping between ontologies </li></ul>
  6. 6. The types of differences between ontologies <ul><li>Language level mismatches </li></ul><ul><ul><li>The languages can differ in their syntax </li></ul></ul><ul><li>The normalization process </li></ul><ul><ul><li>Precedes ontology-matching </li></ul></ul><ul><ul><li>Translates source ontologies to the same language </li></ul></ul>
  7. 7. The types of differences between ontologies (cont’) <ul><li>Ontology level mismatches </li></ul><ul><ul><li>Using the same linguistic terms to describe different concepts </li></ul></ul><ul><ul><li>Using different modeling paradigms </li></ul></ul><ul><ul><li>Using different modeling conventions and levels of granularity </li></ul></ul>
  8. 8. Three dimensions of semantic integration research <ul><li>Mapping discovery </li></ul><ul><li>Declarative formal representations of mappings </li></ul><ul><li>Reasoning with mappings </li></ul>
  9. 9. Discovering mappings <ul><li>The extensions of ontology </li></ul><ul><ul><li>Finding correspondences between two extensions </li></ul></ul><ul><li>Use various characteristics of ontologies </li></ul><ul><ul><li>Comprises heuristics-based or machine learning techniques </li></ul></ul>
  10. 10. Using a shared ontology <ul><li>A standard upper ontology that will promote </li></ul><ul><ul><li>data interoperability </li></ul></ul><ul><ul><li>Information search and retrieval </li></ul></ul><ul><ul><li>Automated inferencing </li></ul></ul><ul><ul><li>Natural language processing </li></ul></ul>
  11. 11. Using a shared ontology (cont’) <ul><li>Reuse the foundational ontologies </li></ul><ul><ul><li>Facilitate semantic interoperation between applications </li></ul></ul><ul><li>Underlying natural language and human common-sense </li></ul>
  12. 12. Ontology alignment <ul><li>Concept names and natural-language descriptions </li></ul><ul><li>Class hierarchy (subclass–superclass relationships) </li></ul><ul><li>Instances of classes </li></ul><ul><li>Class descriptions (as in DL-based tools) </li></ul>
  13. 13. Ontology alignment (cont’) <ul><li>Property definitions (domains, ranges, restrictions) </li></ul><ul><li>Class descriptions (as in DL-based tools) </li></ul>
  14. 14. Representations of mappings <ul><li>Representing mappings as instances in an ontology of mappings </li></ul><ul><li>Defining bridging axioms in logic to represent transformations </li></ul><ul><li>Using views to describe mappings from a global ontology to local ontologies </li></ul>
  15. 15. Ontology translation <ul><li>Given the mapping between the source and target </li></ul><ul><li>the mapping and performs inference on the merged ontology </li></ul><ul><li>Performs a projection step </li></ul>
  16. 16. Conclusion <ul><li>Share and reuse the techniques that they have developed in their respective domains </li></ul><ul><li>Semantic web issue </li></ul><ul><li>Machine-interpretable ontologies </li></ul>
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