System and method for semantics driven data processing

• US 20030233365A1
• Filed: 04/11/2003
• Published: 12/18/2003
• Est. Priority Date: 04/12/2002
• Status: Abandoned Application

• Current Assignee: Metainformatics
• Original Assignee: Metainformatics
• Inventors: Schmit, John C., Sharma, Harsh W.
• Application Number:
  US10/412,663
• Publication Number:
  US 20030233365A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G16B 50/00 ICT programming tools or database systems specially adapted for bioinformatics
• CPC Class Codes: G16B 50/20 Heterogeneous data integration
• CPC Class Codes: G16B 50/30 Data warehousing; Computing architectures

Abstract

The present invention provides a system, method and computer program for metadata conduit driven data integration in which data from one or more data sources is integrated using a pre-processor, a modeler, a metadata repository, a virtual data access engine and a web portal, wherein an integration server consumes the metadata stored in the repository to direct queries to data sources and aggregate data and provide functional views of this data to the information consumers. The metadata stored in the repository also drives generation of platform independent applications used in the life sciences domain (research and/or drug development and diagnostics).

Claims

1. A method for using life sciences metadata comprising the steps of:

obtaining the metadata from a metadata source;

mapping the metadata to a metamodel;

integrating and classifying the mapped metadata into functional views;

storing the integrated metadata in a repository;

retrieving the stored metadata; and

using the retrieved metadata in one or more applications.

2. The method as recited in claim 1, wherein the metamodel is obtained from an industry standard specification for life sciences.

3. The method as recited in claim 1, wherein the one or more applications includes one or more web services.

4. The method as recited in claim 3, wherein the web service searches the respective Chemical Libraries, Bioassay, Human Genome Sequence, Proteomics databanks and Clinical/Pre-clinical trials databases and retrieve a results set.

5. The method as recited in claim 1, further comprising the step of transforming additional data to generate a web service query that will search the respective Chemical Libraries, Bioassay, Human Genome Sequence, Proteomics databanks and Clinical/Pre-clinical trials databases and retrieve a results set.

6. The method as recited in claim 1, further comprising the step of aggregating data to generate a web service query that will search the respective Chemical Libraries, Bioassay, Human Genome Sequence, Proteomics databanks and Clinical/Pre-clinical trials databases and retrieve a results set.

7. The method as recited in claim 6, further comprising the step of transforming and aggregating the data and sharing the results.

8. The method as recited in claim 6, further comprising the step of transforming and aggregating the data and sharing the results and performing another web service query.

9. A computer program embodied on a computer readable medium for using life sciences metadata comprising:

a code segment for obtaining the metadata from a metadata source;

a code segment for mapping the metadata to a metamodel;

a code segment for integrating and classifying the mapped metadata into functional views;

a code segment for storing the integrated metadata in a repository;

a code segment for retrieving the stored metadata; and

a code segment for using the retrieved metadata in one or more applications.

10. The computer program as recited in claim 9, wherein the metamodel is obtained from an industry standard specification for life sciences.

11. The computer program as recited in claim 9, wherein the one or more applications includes one or more web services.

12. The computer program as recited in claim 11, wherein the web service searches the respective Chemical Libraries, Bioassay, Human Genome Sequence, Proteomics databanks and Clinical/Pre-clinical trials databases and retrieve a results set.

13. The computer program as recited in claim 9, further comprising a code segment for transforming additional data to generate a web service query that will search the respective Chemical Libraries, Bioassay, Human Genome Sequence, Proteomics databanks and Clinical/Pre-clinical trials databases and retrieve a results set.

14. The computer program as recited in claim 9, further comprising a code segment for aggregating data to generate a web service query that will search the respective Chemical Libraries, Bioassay, Human Genome Sequence, Proteomics databanks and Clinical/Pre-clinical trials databases and retrieve a results set.

15. The computer program as recited in claim 14, further comprising a code segment for transforming and aggregating the data and sharing the results.

16. The computer program as recited in claim 14, further comprising a code segment for transforming and aggregating the data and sharing the results and performing another web service query.

17. A system for semantic metadata processing comprising:

a MetaLife portal;

a MetaLife modeler;

a MetaLife integration server; and

a MetaLife repository communicably coupled to the MetaLife portal, the MetaLife modeler and the MetaLife integration server.

18. The system as recited in claim 17, further comprising a MetaLife classifier communicably coupled to the MetaLife repository.

19. The system as recited in claim 18, further comprising a MetaLife pre-processor communicably coupled to the MetaLife classifier.

20. A system for semantic metadata processing comprising:

a MetaLife modeler;

a MetaLife pre-processor communicably coupled to the MetaLife modeler; and

a MetaLife repository communicably coupled to the MetaLife modeler.

21. The system as recited in claim 20, further comprising a MetaLife portal communicably coupled to the MetaLife repository.

22. The system as recited in claim 20, further comprising a MetaLife classifier communicably coupled to the MetaLife repository, the MetaLife modeler and the MetaLife pre-processor.

23. A system for integrating and analyzing life sciences data from one or more data sources comprising:

a metadata repository;

a virtual data access engine communicably coupled to the metadata repository;

one or more adapters communicably coupled to the one or more data sources and the metadata repository; and

an integration server communicably coupled to the metadata repository that gathers information to direct queries to the one or more data sources, aggregates data received from the one or more data sources and provides an output file.

24. A system as recited in claim 23, further comprising an Extract, Transformation &

Load Engine communicably coupled to the metadata repository.

25. The system as recited in claim 23, wherein the metadata repository is a UDDI Repository.

26. The system as recited in claim 23, wherein the integration server generates a web service query that searches the respective Chemical Libraries, Bioassay, Human Genome Sequence, Proteomics databanks and Clinical/Pre-clinical trials databases and retrieve a results set.

27. The system as recited in claim 23, wherein the integration server transforms additional data to generate a web service query that will search the respective Chemical Libraries, Bioassay, Human Genome Sequence, Proteomics databanks and Clinical/Pre-clinical trials databases and retrieve a results set.

28. The system as recited in claim 23, wherein the integration server aggregates data to generate a web service query that will search the respective Chemical Libraries, Bioassay, Human Genome Sequence, Proteomics databanks and Clinical/Pre-clinical trials databases and retrieve a results set.

29. The system as recited in claim 23, wherein the integration server transforms and aggregates the data and sharing the results.

30. The system as recited in claim 23, wherein the integration server transforms and aggregates the data, shares the results and performs another web service query.

31. A method for consuming metadata from a life sciences device comprising the steps of:

receiving data from the life sciences device;

processing the data using a MetaLife model; and

providing the data to an output.

32. A computer program embodied on a computer readable medium for consuming metadata from a life sciences device comprising:

a code segment for receiving data from the life sciences device;

a code segment for processing the data using a MetaLife model; and

a code segment for providing the data to an output.

33. A system comprising:

a life sciences device;

an interface embedded within the life sciences device; and

a MetaLife model loaded within the embedded interface.

34. The system as recited in claim 33, further comprising a MetaLife repository communicably coupled to the embedded interface.