Information processing method and apparatus for business process analysis

• US 8,224,762 B2
• Filed: 03/13/2009
• Issued: 07/17/2012
• Est. Priority Date: 09/15/2006
• Status: Active Grant

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: Kawamura, Akira, Nomura, Yoshihide, Kobayashi, Kenichi, Kanai, Tsuyoshi, Hara, Hirotaka
• Primary Examiner(s): Gaffin, Jeffrey A
• Assistant Examiner(s): Kennedy, Adrian
• Application Number:
  US12/403,773
• Publication Number:
  US 20090177610A1
• Time in Patent Office: 1,222 Days
• Field of Search: None
• US Class Current: 706/47
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

An information processing method for a business process analysis includes identifying a processing target field in a record generated in an analysis target system and stored in a data storage; identifying data representing probability that the processing target field corresponds to a time stamp of an event by using definition data for each field in the record; and presenting a user with the identified data so as to correspond to each said field.

Claims

1. A computer-implemented information processing method for a business process analysis, comprising:

first identifying a processing target field in a record generated in an analysis target system and stored in a data storage;

second identifying data representing probability that said processing target field corresponds to a time stamp of an event by using definition data for each field in said record, wherein said definition data is stored in said data storage; and

presenting a user with the identified data so as to correspond to each said field.

2. The computer-implemented information processing method as set forth in claim 1, wherein said definition data is schema information of a database, and

said second identifying comprises:

identifying a data type of said processing target field; and

judging whether or not said data type of said processing target field corresponds to a data type representing said time stamp.

3. The computer-implemented information processing method as set forth in claim 1, wherein said definition data comprises a field name, and

said second identifying comprises identifying data representing probability that said processing target field corresponds to a time stamp of an event, based on a character string contained in said field name of said processing target field.

4. The computer-implemented information processing method as set forth in claim 1, wherein said second identifying comprises identifying data representing probability that said processing target field corresponds to a time stamp of an event, based on a field value of said processing target field.

5. The computer-implemented information processing method as set forth in claim 1, wherein a rule is defined that lower probability is assigned in an order of a character string representing a time, a character string representing a date and a character string representing a future time, and said second identifying comprises checking whether or not said character string representing said time, said character string representing said date or said character string representing said future time is included in a field name of said processing target field.

6. The computer-implemented information processing method as set forth in claim 1, wherein said second identifying comprises:

identifying pertinent data of said processing target field, based on said definition data and field values stored in said data storage; and

identifying data representing probability, which corresponds to the identified pertinent data of said processing target field, by referring to a data structure including predefined characteristics of a field name or a field value and corresponding data representing probability.

7. A computer-implemented information processing method for a business process analysis, comprising:

identifying a processing target field in a record generated by an analysis target system and stored in a data storage;

identifying a characteristic of a field value of said processing target field, wherein said field value is stored in said data storage;

identifying data representing probability that said processing target field corresponds to an event ID of an event, based on whether or not said characteristic of said field value of said processing target field has a predetermined characteristic and

upon detecting that said data representing probability is not data representing denial, identifying second data representing probability that said processing target field corresponds to an event of an event ID, by using definition data for each field in a record, wherein said definition data is stored in said data storage.

8. The computer-implemented information processing method as set forth in claim 7, wherein said definition data includes data of a data type of each said field.

9. The computer-implemented information processing method as set forth in claim 7, wherein said definition data includes key setting data.

10. The computer-implemented information processing method as set forth in claim 7, wherein said identifying said second data representing probability comprises:

identifying pertinent data of said processing target field, based on said definition data; and

identifying second data representing probability, which corresponds to said pertinent data of said processing target field, by referring to a data structure including a predefined data type of said field or a predefined characteristic of said field and corresponding data representing probability.

11. The computer-implemented information processing method as set forth in claim 7, further comprising:

presenting a user with said data representing probability that said processing target field corresponds to said event ID of said event and said second data representing probability that said processing target field is said event ID of said event, so as to correspond to each said field.

12. The computer-implemented information processing method as set forth in claim 7, wherein said identifying said data representing probability comprises:

judging whether or not said field values of said processing target field are unique in all of said records; and

judging whether or not said field values of said processing target field include NULL.

13. A computer-implemented information processing method for a business process analysis, comprising:

identifying a processing target field in a record generated by an analysis target system and stored in a data storage device;

identifying a characteristic of a field value of said processing target field, wherein said field value is stored in said data storage;

identifying data representing probability that said processing target field corresponds to an associated ID of an event, based on whether or not said characteristic of said field value of said processing target field has a predetermined characteristic; and

upon detecting that said data representing probability is not data representing denial, identifying second data representing probability that said processing target field corresponds to said associated ID of said event, by using definition data for each field in said record, wherein said definition data is stored in said data storage.

14. The computer-implemented information processing method as set forth in claim 13, wherein said definition data includes data of a data type of each said field.

15. The computer-implemented information processing method as set forth in claim 13, wherein said definition data includes key setting data.

16. The computer-implemented information processing method as set forth in claim 13, wherein said identifying said second data representing probability comprises:

identifying pertinent data of said processing target field, based on said definition data; and

identifying second data representing probability, which corresponds to the identified pertinent data of said processing target field, by referring a data structure including a predefined data type or a predefined characteristic of said field and corresponding data representing probability.

17. The computer-implemented information processing method as set forth in claim 13, further comprising:

presenting a user with said data presenting probability that said processing target field is said associated ID of said event and said second data representing probability that said processing target field corresponds to said associated ID of said event, so as to correspond to each said field.

18. The computer-implemented information processing method as set forth in claim 13, wherein said identifying representing probability comprises judging whether or not said field values of said processing target field include two or more values except NULL.

19. A computer-implemented information processing method for a business process analysis, comprising:

first identifying, for each field in a record generated in an analysis target system and stored in a data storage, data representing probability that said field corresponds to a time stamp of an event, by using definition data for each said field in said record, wherein said definition data is stored in said data storage;

second identifying a field designated as said time stamp by a user based said data representing probability that said field corresponds to said time stamp of said event or a field whose data representing probability that said field corresponds to said time stamp of said event is predetermined data; and

third identifying an event name based on the number of identified fields, and

wherein said third identifying comprises identifying a table name as said event name, when said number of identified fields is single.

20. A computer-implemented information processing method for a business process analysis, comprising:

first identifying, for each field in a record generated in an analysis target system and stored in a data storage, data representing probability that said field corresponds to a time stamp of an event, by using definition data for each said field in said record, wherein said definition data is stored in said data storage;

second identifying a field designated as said time stamp by a user based said data representing probability that said field corresponds to said time stamp of said event or a field whose data representing probability that said field corresponds to said time stamp of said event is predetermined data; and

third identifying an event name based on the number of identified fields, and

wherein said third identifying comprises identifying said event name based on field names of the identified fields, when said number of identified fields is plural.

21. The computer-implemented information processing method as set forth in claim 20, further comprising:

identifying a characteristic of a field value of each said field, wherein said field value is stored in said data storage device;

identifying data representing probability that said field corresponds to an event ID of an event, based on whether or not said characteristic of said field value of each said field has a predetermined characteristic; and

upon detecting that said data representing probability that said field corresponds to said event ID of said event is not data representing denial, identifying second data representing probability that said field is said event ID of said event, by using said definition data for each said filed in said record.

22. The computer-implemented information processing method as set forth in claim 21, further comprising:

identifying data representing probability that said field corresponds to an associated ID of said event, based on whether or not said characteristic of said field value of said field has a predetermined second characteristic; and

upon detecting that said data representing probability that said field corresponds to said associated ID of said event is not data representing denial, identifying second data representing probability that said field corresponds to said associated ID of said field, by using said definition data.