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Multi-layered Approach to Heterogeneous Ontology Alignment *

Multi-layered Approach to Heterogeneous Ontology Alignment *. University of Illinois at Chicago Department of Computer Science PhD Student: William G. Sunna Advisor: Isabel F. Cruz.

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Multi-layered Approach to Heterogeneous Ontology Alignment *

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  1. Multi-layered Approach to Heterogeneous Ontology Alignment * University of Illinois at Chicago Department of Computer Science PhD Student: William G. Sunna Advisor: Isabel F. Cruz *This research was supported in part by the National Science Foundation under Awards EIA-0091489 and ITR IIS-0326284.

  2. Humans are different • Humans model reality differently from one another according to their knowledge, life experiences, culture, and many other factors resulting in different classifications for the same data, and therefore in heterogeneous ontologies. • Heterogeneous ontologies are integrated by aligning them to each other, where corresponding concepts are related. • Correspondences between concepts in different ontologies result in mappings that are used for querying!!!

  3. Multi-Layered Approach • We present a multi-layered approach to heterogeneous ontology alignment. In our approach, the concepts in the ontologies can be related to each other using several matching criteria. • We introduce four layers of mappings, each layer is based on a single matching criterion. Three of these layers are automatic. • We also created a software tool that implements our multi layered approach, the Agreement Maker, which aids domain experts to align two heterogeneous ontologies.

  4. Alignment layers 1. The automatic definition layer The domain expert invokes an automatic procedure that compares each concept in the source ontology to each concept in the target ontology according to their definition. The procedure consults a dictionary upon the user’s request and returns a similarity measure from 0 (no match) to 100 (perfect match) between the concepts being compared (all meanings of the concepts will be considered when evaluating the similarities). 2. The manual mapping layer The user matches concepts with each other manually according to the user’s knowledge of the domains represented by the ontologies.

  5. Alignment layers 3. The automatic mapping by context layer The user runs a procedure that automatically deduces more mappings by looking at the previous ones. 4. The automatic mapping by consolidation layer The domain expert determines which layers are the most important and runs an automatic procedure that consolidates the mappings from previous layers according to the user’s preferences. From aligning wetland ontologies

  6. Agreement maker The user interface of Agreement Maker in aligning the governmental structure of the United States of America with the governmental structure of the United Kingdom

  7. Application of our approachIntegration of heterogeneous database systems End user Query Processor Agreement document I Agreement document II Global Ontology Domain expert Domain expert Local Ontology I Local Ontology II

  8. Thank you!!! See you during the poster session

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