Temporal scope translation of meta-models using semantic web technologies

• US 9,111,004 B2
• Filed: 02/01/2011
• Issued: 08/18/2015
• Est. Priority Date: 12/17/2009
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Carrato, Anthony L., Coldicott, Peter A., Ellis, Raymond W., Hopkins, Richard A., Jones, Brad N., Kelley, Edward E., Lane, Eoin, Scott, Ian J., van Ham, Franciscus J., Young-Garder, Anthony J.
• Primary Examiner(s): LIN, SHEW FEN
• Application Number:
  US13/018,909
• Publication Number:
  US 20110153610A1
• Time in Patent Office: 1,659 Days
• Field of Search: 707/792, 707/803
• US Class Current: 1/1
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• CPC Class Codes: G06F 40/151 Transformation

Abstract

Implementation of a meta-model service of a service oriented architecture industry model repository into a web ontology language representation of at least one topic map meta-model into a plurality of temporal scope topic map meta-models representing states of the at least one topic map meta-model at different times. The implementation includes assigning topics, occurrences, and attributes from the meta-model service to the at least one topic map meta-model. The topics, occurrences, and attributes are assigned from the at least one topic map meta-model to plurality of temporal scope topic map meta-models. The topics, occurrences, and attributes from the plurality of temporal scope topic map meta-models are converted into resource description framework triples; and the resource description framework triples are persisted into the resource description framework repository.

Claims

1. A method for managing implementation of a service oriented architecture, the method comprising the steps of:

based in part on a topic map meta-model of the service oriented architecture repository, a computer determining a first scope of time as a first time period representing a snap shot of a first state of the topic map meta-model during which a first condition exists for a computer component in the service oriented architecture;

the computer assigning topics, occurrences of the topics and attributes of the topics of the topic map meta-model of the service oriented architecture repository which occur within the first scope of time to a first topic map meta-model to represent the first state of the topic map meta-model present within the first scope of time;

the computer determining a second scope of time as a second time period representing a snap shot of a second state of the topic map meta-model during which a second, different condition exists for the computer component in the service oriented architecture;

the computer assigning topics, occurrences of the topics and attributes of the topics of the topic map meta-model of the service oriented architecture repository which occur within the second, subsequent scope of time to a second topic map meta-model to represent the second state of the topic map meta-model present within the second scope of time;

the computer mathematically converting data describing each combination of the topics, occurrences, and attributes within the first topic map meta-model representing the first state of the topic map meta-model present within the first scope of time into a corresponding first topic map meta-model resource description framework triples comprising a subject, a predicate and an object;

the computer mathematically converting data describing each combination of the topics, occurrences and attributes within the second topic map meta-model representing the second state of the topic map meta-model present within the second scope of time into a corresponding second topic map meta-model resource description framework triples comprising a subject, a predicate and an object; and

the computer receiving a request from a user for a topic map meta-model resource description framework triples within a scope of time specified in the request, and in response, the computer identifying and returning to the user the first topic map meta-model resource description framework triples or the second topic map meta-model resource description framework triples which complies with the specified scope of time.

2. The method of claim 1, wherein the steps of the computer mathematically converting data describing each combination of the topics, occurrences, and attributes within the first topic map meta-model representing the first state of the topic map meta-model present within the first scope of time into the corresponding first topic map meta-model resource description framework triples and the computer mathematically converting data describing each combination of the topics, occurrences, and attributes within the second topic map meta-model representing the second state of the topic map meta-model present within the second scope of time into the corresponding second topic map meta-model resource description framework triples further comprises the steps of:

creating uniform resource identifiers for the topics of the first topic map meta-model and the second topic map meta-model;

creating topic resource description framework triples of the topics of the first topic map meta-model and the second topic map meta-model;

adding the topic resource description framework triples for the topics of the first topic map meta-model and the second topic map meta-model to a resource description framework repository;

creating topic occurrence resource description framework triples for occurrences of the topics of the first topic map meta-model and the second topic map meta-model; and

creating topic attribute resource description framework triples for attributes of the topics of the first topic map meta-model and the second topic map meta-models.

3. The method of claim 2, wherein the steps of the computer mathematically converting data describing each combination of the topics, occurrences, and attributes within the first topic map meta-model representing the first state of the topic map meta-model present within the first scope of time into the corresponding first topic map meta-model resource description framework triples and the computer mathematically converting the data describing each combination of the topics, occurrences, and attributes within the second topic map meta-model representing the second state of the topic map meta-model present within the second scope of time into the corresponding second topic map meta-model resource description framework triples further comprises the steps of getting a handle to the resource description framework repository;

and obtaining a connection to the resource description framework repository.

4. The method of claim 2, wherein the step of creating topic occurrence resource description framework triples for occurrences of the topics of the first topic map meta-model and the second topic map meta-model further comprises:

reading occurrences of the topics of the first topic map meta-model and the second topic map meta-model;

creating topic occurrence resource description framework triples;

adding the topic occurrence resource description framework triples to the resource description framework repository; and

checking for other occurrences of the topics in the first topic map meta-model and the second topic map meta-model.

5. The method of claim 2, wherein the step of creating topic attribute resource description framework triples for attributes of the topics of the first topic map meta-model and the second topic map meta-model further comprises:

reading attributes of the topics of the first topic map meta-model and the second topic map meta-model;

creating topic attribute resource description framework triples;

adding the topic attribute resource description framework triples to the resource description framework repository; and

checking for other attributes of the topics in the first topic map meta-model and the second topic map meta-model.

6. The method of claim 1, further comprising, prior to the steps of claim 1, accepting an input indicating that the service oriented architecture repository has temporal dependent relationships, accepting an input identifying the temporal dependent relationships within the service oriented architecture repository and removing the temporal dependent relationships from the service oriented architecture repository.

7. The method of claim 1, wherein the computer checks the respective resource description framework triples for consistency to ensure data integrity of the first topic map meta-model and the second topic map meta-model.

8. The method of claim 1, wherein the computer searches the respective resource description framework triples to identify new associations between topics.

9. A computer program product for managing implementation of a service oriented architecture repository, the computer product comprising:

a non-transitory computer readable storage media storing a plurality of computer readable program instructions to;

based in part on a topic map meta-model of the service oriented architecture repository, determine a first scope of time as a first time period representing a snap shot of a first state of the topic map meta-model during which a first condition exists for a computer component in the service oriented architecture;

assign topics, occurrences of the topics, and attributes of the topics of the topic map meta-model of the service oriented architecture repository which occur within the first scope of time to a first topic map meta-model to represent the first state of the topic map meta-model present within the first scope of time;

determine a second scope of time as a second time period representing a snap shot of a second state of the topic map meta-model during which a second, different condition exists for the computer component in the service oriented architecture;

assign topics, occurrences of the topics and attributes of the topics of the topic map meta-model of the service oriented architecture repository which occur within the second, subsequent scope of time to a second topic map meta-model to represent the second state of the topic map meta-model present within the second scope of time;

mathematically convert data describing each combination of the topics, occurrences, and attributes within the first topic map meta-model representing the first state of the topic map meta-model present within the first scope of time into a respective resource description triples comprising a subject, a predicate and an object;

mathematically convert data describing each combination of the topics, occurrences and attributes within the second topic map meta-model representing the second state of the topic map meta-model present within the second scope of time into a corresponding second topic map meta-model resource description framework triples comprising a subject, a predicate and an object; and

receive a request from a user for a topic map meta-model resource description framework triples within a scope of time specified in the request, and in response, identify and return to the user the first topic map meta-model resource description framework triples or the second topic map meta-model resource description framework triples which complies with the specified scope of time.

10. The computer program product of claim 9, wherein the program instructions, to mathematically convert data describing each combination of the topics, occurrences, and attributes within the first topic map meta-model representing the first state of the topic map meta-model present within the first scope of time into the corresponding first topic map meta-model resource description framework triples and to mathematically convert data describing each combination of the topics, occurrences and attributes within the second topic map meta-model representing the second state of the topic map meta-model present within the second scope of time into the corresponding second topic map meta-model resource description framework triples, further comprises program instructions to:

create uniform resource identifiers for the topics of the first topic map meta-model and the second topic map meta-model;

create topic resource description framework triples for the topics of the first topic map meta-model and the second topic map meta-model;

add the topic resource description framework triples for the topics of the first topic map meta-model and the second topic map meta-model to a resource description framework repository;

create topic occurrence resource description framework triples for occurrences of the topics of the first topic map meta-model and the second topic map meta-model; and

create topic attribute resource description framework triples for attributes of the topics of the first topic map meta-model and the second topic map meta-model.

11. The computer program product of claim 10, wherein the program instructions, to create topic occurrence resource description framework triples for occurrences of the topics of the first topic map meta-model and the second topic map meta-model further comprises program instructions to:

read occurrences of the topics of the first topic map meta-models and the second topic map meta-model;

create topic occurrence resource description framework triples;

add the topic occurrence resource description framework triples to the resource description framework repository; and

check for other occurrences of the topics in the first topic map meta-model and the second topic map meta-model.

12. The computer program product of claim 10, wherein the program instructions, to create topic attribute resource description framework triples for attributes of the topics of the first topic map meta-model and the second topic map meta-model, further comprises program instructions to:

read attributes of the topics of the first topic map meta-model and the second topic map meta-model;

create topic attribute resource description framework triples;

add the topic attribute resource description framework triples to the resource description framework repository; and

check for other attributes of the topics in the first topic map meta-model and the second topic map meta-model.

13. The computer program product of claim 9, in which the non-transitory computer readable storage media further stores a plurality of computer readable program instructions to:

accept an input indicating that the service oriented architecture repository has temporal dependent relationships;

accept an input identifying the temporal dependent relationships within the service oriented architecture repository; and

remove the temporal dependent relationships from the service oriented architecture repository.

14. The computer program product of claim 9, further comprising program instructions to check the respective resource description framework triples for consistency to ensure data integrity of the first topic map meta-model and the second topic map meta-model.

15. The computer program product of claim 9, further comprising program instructions to search the respective resource description framework triples to identify new associations between topics.

16. A computer system for managing implementation of a service oriented architecture repository, the computer system comprising:

one or more processors, one or more computer-readable memories and one or more computer-readable, tangible storage devices;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to based in part on a topic map meta-model of the service oriented architecture repository, determine a first scope of time as a first time period representing a snap shot of a first state of the topic map meta-model during which a first condition exists for a computer component in the service oriented architecture;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to assign topics, occurrences of the topics, and attributes of the topics of the topic map meta-model of the service oriented architecture repository which occur within the first scope of time to a first topic map meta-model to represent the first state of the topic map meta-model present within the first scope of time;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to determine a second scope of time as a second time period representing a snap shot of a second state of the topic map meta-model during which a second, different condition exists for the computer component in the service oriented architecture;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to assign topics, occurrences of the topics and attributes of the topics of the topic map meta-model of the service oriented architecture repository which occur within a second, subsequent scope of time to a second topic map meta-model to represent the second state of the topic map meta-model present within the second scope of time;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to mathematically convert data describing each combination of the topics, occurrences, and attributes within the first topic map meta-model representing the first state of the topic map meta-model present within the first scope of time into a respective resource description framework triples comprising a subject, a predicate and an object;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to mathematically convert data describing each combination of the topics, occurrences and attributes within the second topic map meta-model representing the second state of the topic map meta-model present within the second scope of time into a corresponding second topic map meta-model resource description framework triples comprising a subject, a predicate and an object; and

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to receive a request from a user for a topic map meta-model resource description framework triples within a scope of time specified in the request, and in response, identify and return to the user the first topic map meta-model resource description framework triples or the second topic map meta-model resource description framework triples which complies with the specified scope of time.

17. The computer system of claim 16, wherein the program instructions, to mathematically convert data describing each combination of the topics, occurrences, and attributes within the first topic map meta-model representing the first state of the topic map meta-model present within the first scope of time into the corresponding first topic map meta-model resource description framework triples and to mathematically convert data describing each combination of the topics, occurrences and attributes within the second topic map meta-model representing the second state of the topic map meta-model present within the second scope of time into the corresponding second topic map meta-model resource description framework triples, further comprises program instructions to:

create uniform resource identifiers for the topics of the first topic map meta-model and the second topic map meta-model;

create topic resource description framework triples for the topics of the plurality of temporal scope topic map meta-models, first topic map meta-model and the second topic map meta-model;

add the topic resource description framework triples for the topics of the first topic map meta-model and the second topic map meta-model to a resource description framework repository;

create topic occurrence resource description framework triples for occurrences of the topics of the first topic map meta-model and the second topic map meta-model; and

create topic attribute resource description framework triples for attributes of the topics of the first topic map meta-model and the second topic map meta-model.

18. The computer system of claim 17, wherein the program instructions, to mathematically convert the data describing each combination of the topics, occurrences, and attributes from within the first topic map meta-model representing the first state of the topic map meta-model present within the first scope of time into the corresponding first topic map meta-model resource description framework triples and to mathematically convert the data describing each combination of the topics, occurrences, and attributes within the second topic map meta-model representing the second state of the topic map meta-model present within the second scope of time into the corresponding second topic map meta-model resource description framework triples further comprises program instructions to get a handle to the resource description framework repository and obtain a connection to the resource description framework repository.

19. The computer system of claim 17, wherein the program instructions, to create topic occurrence resource description framework triples for occurrences of the topics of the first topic map meta-model and the second topic map meta-model further comprises program instructions to:

read occurrences of the topics of the first topic map meta-model and the second topic map meta-model;

create topic occurrence resource description framework triples;

add the topic occurrence resource description framework triples to the resource description framework repository; and

check for other occurrences of the topics of the first topic map meta-model and the second topic map meta-model.

20. The computer system of claim 17, wherein the program instructions to create topic attribute resource description framework triples for attributes of the topics of the first topic map meta-model and the second topic map meta-model further comprising program instructions to:

read attributes of the topics of the first topic map meta-model and the second topic map meta-model;

create topic attribute resource description framework triples; and

add the topic attribute resource description framework triples to the resource description framework repository.

21. The computer system of claim 16, further comprising:

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to accept an input indicating that the service oriented architecture repository has temporal dependent relationships;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to accept an input identifying the temporal dependent relationships within the service oriented architecture repository; and

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to remove the temporal dependent relationships from the service oriented architecture repository.

22. The computer system of claim 16, further comprising program instructions to check the respective resource description framework triples for consistency to ensure data integrity of the first topic map meta-model and the second topic map meta-model.

23. The computer system of claim 16, further comprising program instructions to search the respective resource description framework triples to identify new associations between topics.