Tools for Integrating Heterogeneous Data Sources from a User Perspective
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The document discusses ontology-extended data sources which integrate heterogeneous data sources from a user perspective. An ontology-extended data source consists of data (D), schema (S), and ontology (O) defining the relationships between the data. Mappings between ontologies define conversion functions and constraints for integrating different data sources. The INDUS tool was developed to define data types, schemas, mappings, and conversions to enable integration of heterogeneous data sources from a user perspective.
![Tools for Integrating Heterogeneous Data Sources from a User Perspective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Jie Bao, Changhui Yan, Doina Caragea, Vasant Honavar Artificial Intelligence Research Laboratory Department of Computer Science Iowa State University, Ames, IA 50011-1040, USA {baojie,yan330,dcaragea,honavar}@cs.iastate.edu SOFG2004 , Standards and Ontologies For Functional Genomics 2 , University of Pennsylvania , Philadelphia, Pennsylvania Oct 23-26, 2004 We developed the INDUS Ontology-Extended Data Source Editor . It could define data types (such as AVH), schema, interoperation constraints and conversion functions. More details on http://boole.cs.iastate.edu:9090/wikiont/DSEditor.html Why ‘ Ontology’ Case Study How to represent ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Ontology O2 Ontology O1 User Ontology Schema 1 Schema 2 User Schema Weather Data Sources Mappings between two ontologies A conversion function A B DAG AVH Protein Structure Family: SCOP and CATH Data Source 1 User Perspective Data Source 2 A B A=B A B A B](https://image.slidesharecdn.com/2004-10-19sofg1-100706165008-phpapp01/85/Tools-for-Integrating-Heterogeneous-Data-Sources-from-a-User-Perspective-1-320.jpg)
