Semantic mapping of topic map meta-models identifying assets and events to include directionality

• US 10,042,915 B2
• Filed: 09/28/2015
• Issued: 08/07/2018
• Est. Priority Date: 09/28/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Hanis, Thomas T., Lane, Eoin, Zhang, Ke, Zhao, Zhuo Z.
• Primary Examiner(s): LE, DEBBIE M
• Application Number:
  US14/867,156
• Publication Number:
  US 20170091304A1
• Time in Patent Office: 1,044 Days
• Field of Search: None
• CPC Class Codes: G06F 16/2228 Indexing structures
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/288 Entity relationship models

Abstract

Method, computer program product and computer system for assigning a direction of impact to an association between assets based on an impact of an event mapped to at least one of the assets. To assign a direction of impact, a first topic map meta-model is created that identifies assets and events in a topic map based index with instance ontology based on a topic map meta model that identifies assets and a topic map meta-model that identifies events. An identification is assigned in the first topic map meta-model to at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events and a second topic map meta-model being created that identifies at least one association and instance ontology with direction of impact assigned to the at least one association in various scopes.

Claims

1. A method of assigning a direction of impact to an association between assets based on an impact of an event mapped to at least one of the assets, the method comprising the steps of:

a computer creating a first topic map meta-model that identifies assets and events in a topic map based index with instance ontology based on a topic map meta model that identifies assets and a topic map meta-model that identifies events, mapping assets to events through at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events;

the computer assigning an identification in the first topic map meta-model to the at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events;

the computer creating a second topic map meta-model that identifies at least one association between at least one asset and at least one event in a topic map based index and instance ontology with the direction of impact of the event on an association in various scopes between assets, based on an impact of the event on at least one of the assets of the association;

in response to a new event being added to the topic map meta-model identifying events, the computer re-creating the first topic map meta-model for the new event and the second topic map meta-model, adjusting the direction of impact associated with the association in the first topic map meta-model, the re-created first map meta-model including a topic map based index and instance ontology for the new event and the adjusted direction of impact; and

the computer storing the re-created first topic map meta-model and the re-created second topic map meta-model into a repository.

2. The method of claim 1, further comprising the step of the computer searching the first topic map meta-model and the second topic map meta-model stored in a repository, comprising the steps of:

the computer receiving a query input from a user;

the computer obtaining, from the query input, at least an identification of an association between at least one asset and at least one event in the first topic map meta-model;

the computer searching the second topic map meta-model for the identification; and

the computer displaying direction of impact assigned to the association in at least one scope to the user.

3. The method of claim 1, wherein the step of the computer assigning an identification comprises the steps of:

assigning an identifier in the first topic map meta-model to each of the associations between at least one asset and at least one event;

identifying and assigning in the first topic map meta-model an identifier to the topics of the association and the roles of the topics in the association; and

identifying and assigning in the first topic map meta-model an identifier to a scope of the association between at least one asset and at least one event of the event topic map meta-model.

4. The method of claim 1, wherein the direction of impact is stored in a data structure.

5. The method of claim 4, wherein the data structure is stored within the second topic map meta-model.

6. A computer program product for assigning a direction of impact to an association between assets based on an impact of an event mapped to at least one of the assets, comprising a computer comprising at least one processor, one or more memories, one or more computer readable storage media, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by the computer to perform a method comprising:

creating, by the computer, a first topic map meta-model that identifies assets and events in a topic map based index with instance ontology based on a topic map meta model that identifies assets and a topic map meta-model that identifies events, mapping assets to events through at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events;

assigning, by the computer, an identification in the first topic map meta-model to at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events;

creating, by the computer, a second topic map meta-model that identifies at least one association between at least one asset and at least one event in a topic map based index and instance ontology with the direction of impact of the event on an association in various scopes between assets based on an impact of the event on at least one of the assets of the association;

in response to a new event being added to the topic map meta-model identifying events, the computer re-creating the first topic map meta-model for the new event and the second topic map meta-model, adjusting the direction of impact associated with the association in the first topic map meta-model, the re-created first map meta-model including a topic map based index and instance ontology for the new event and the adjusted direction if impact; and

storing, by the computer, the re-created first topic map meta-model and the re-created second topic map meta-model into a repository.

7. The computer program product of claim 6, further comprising the program instructions to search, by the computer the first topic map meta-model and the second topic map meta-model stored in a repository, comprising:

receiving, by the computer a query input from a user;

obtaining from the query input, by the computer, at least an identification of an association between at least one asset and at least one event of in the first topic map meta-model;

searching, by the computer, the second topic map meta-model for the identification; and

displaying, by the computer, direction of impact assigned to the association in at least one scope to the user.

8. The computer program product of claim 6, wherein the program instructions of assigning identification by the computer comprises the steps of:

assigning, by the computer, an identifier in the first topic map meta-model to each of the associations between at least one asset and at least one event;

identifying and assigning, by the computer, in the first topic map meta-model an identifier to the topics of the association and the roles of the topics in the association; and

identifying and assigning, by the computer, in the first topic map meta-model an identifier to a scope of to the association between at least one asset and at least one event of the event topic map meta-model.

9. The computer program product of claim 6, wherein the direction of impact is stored in a data structure.

10. The computer program product of claim 9, wherein the data structure is stored within the second topic map meta-model.

11. A computer system for assigning a direction of impact to an association between assets based on an impact of an event mapped to at least one of the assets comprising a computer comprising at least one processor, one or more memories, one or more computer readable storage media having program instructions executable by the computer to perform the program instructions comprising:

creating, by the computer, a first topic map meta-model that identifies assets and events in a topic map based index with instance ontology based on a topic map meta model that identifies assets and a topic map meta-model that identifies events, mapping assets to events through at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events;

assigning, by the computer, an identification in the first topic map meta-model to at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events;

creating, by the computer, a second topic map meta-model that identifies at least one association between at least one asset and at least one event in a topic map based index and instance ontology with the direction of impact of the event on an association in various scopes between assets based on an impact of the event on at least one of the assets of the association;

in response to a new event being added to the topic map meta-model identifying events, the computer re-creating the first topic map meta-model for the new event and the second topic map meta-model, adjusting the direction of impact associated with the association in the first topic map meta-model, the re-created first map meta-model including a topic map based index and instance ontology for the new event and the adjusted direction if impact; and

storing, by the computer, the re-created first topic map meta-model and the re-created second topic map meta-model into a repository.

12. The computer system of claim 11, further comprising further comprising the program instructions to search, by the computer the first topic map meta-model and the second topic map meta-model stored in a repository, comprising:

receiving, by the computer a query input from a user;

obtaining from the query input, by the computer, at least an identification of an association between at least one asset and at least one event of in the first topic map meta-model;

searching, by the computer, the second topic map meta-model for the identification; and

displaying, by the computer, direction of impact assigned to the association in at least one scope to the user.

13. The computer system of claim 11, wherein the program instructions of assigning identification by the computer comprises the steps of:

assigning, by the computer, an identifier in the first topic map meta-model to each of the associations between at least one asset and at least one event;

identifying and assigning, by the computer, in the first topic map meta-model an identifier to the topics of the association and the roles of the topics in the association; and

identifying and assigning, by the computer, in the first topic map meta-model an identifier to a scope of to the association between at least one asset and at least one event of the event topic map meta-model.

14. The computer system of claim 11, wherein the direction of impact is stored in a data structure.

15. The computer system of claim 14, wherein the data structure is stored within the second topic map meta-model.