Apparatus and method for mapping feature catalogs

• US 20080313183A1
• Filed: 06/16/2008
• Published: 12/18/2008
• Est. Priority Date: 06/14/2007
• Status: Abandoned Application

• Current Assignee: Northrop Grumman Systems Corporation (Northrop Grumman Corporation)
• Original Assignee: Northrop Grumman Systems Corporation (Northrop Grumman Corporation)
• Inventors: Weber, Michael Patrick, Wilkins, Michael Wayne, Cunningham, Charles Edward
• Application Number:
  US12/213,145
• Publication Number:
  US 20080313183A1
• Time in Patent Office: Days
• US Class Current: 707/6
• CPC Class Codes: G06F 16/29 Geographical information databases

Abstract

A computer-implemented method, and corresponding apparatus, is used for mapping feature catalogs. The feature catalogs include features, feature attributes, and feature attribute enumerations. The method includes the steps of accessing a first feature catalog, accessing a second feature catalog, identifying features, feature attributes, and feature enumerations in the first feature catalog, identifying potentially corresponding features, feature attributes, and feature attribute enumerations in the second feature catalog, comparing the features, feature attributes, and feature attribute enumerations of the first and the second feature catalogs to determine a degree of match, and saving data indicative of each of the matches in a database to facilitate future searches and reports.

Claims

1. A suitably programmed computing device for use with information systems having two or more feature catalog, each of the feature catalogs comprising features, feature attributes, and feature enumerations, the computing device programmed to map a first feature catalog to a second and subsequent feature catalogs, wherein the programming comprises the steps of:

sending a crawler to search the second feature catalog for instances of matches between a first feature of the first feature catalog and a corresponding feature of the second feature catalog;

determining a degree of match of the first and corresponding features;

if the degree of match is sufficient, searching, using the crawler, feature attributes of the corresponding feature that match first feature attributes;

determining a degree of match of the first and the corresponding feature attributes; and

if the degree of match is sufficient, searching, using the crawler, feature attribute enumerations of the corresponding feature attributes that match first feature attribute enumerations.

2. The computing device of claim 1, wherein the feature attributes include geometric and spatial properties.

3. The computing device of claim 1, wherein the first feature attribute enumerations are expressed in a first measurement system and the enumerations of the corresponding feature attributes are expressed in a second measurement system, and wherein the programming comprises transforming between the first and the second measurement systems.

4. The computing device of claim 1, wherein the first and the second feature catalogs are stored on different nodes on a network.

5. The computing device of claim 4, wherein the network in the Internet.

6. The computing device of claim 1, wherein the features, feature attributes, and feature enumerations of the first and the second and subsequent feature catalogs are expressed in different languages, and wherein the programming steps further comprise translating between the different languages.

7. The computing device of claim 6, wherein the programming further comprises storing the translations.

8. The computing device of claim 1, wherein the programming further comprises the steps of mapping features between the first feature catalog and the second and subsequent feature catalogs and storing the mappings for use in subsequent reports, searches, transformation services and translation services.

9. The computing device of claim 8, wherein the programming further comprises the step of displaying the mappings.

10. The computing device of claim 9, wherein the mappings are displayed by one or more of features that match by name, features that match by name and attributes, and features that match by name, attributes and attribute enumerations.

11. The computing device of claim 10, wherein in the displayed mappings include features that do not match.

12. The computing device of claim 1, wherein the mapping is executed by the programming automatically.

13. The computing device of claim 1, wherein the mapping comprises suggested mappings, and wherein final mappings are approved by a user.

14. A computer-implemented method for mapping feature catalogs, the feature catalogs including features, feature attributes, and feature attribute enumerations, the method comprising:

accessing a first feature catalog;

accessing a second feature catalog;

identifying features, feature attributes, and feature enumerations in the first feature catalog;

identifying potentially corresponding features, feature attributes, and feature attribute enumerations in the second feature catalog;

comparing the features, feature attributes, and feature attribute enumerations of the first and the second feature catalogs to determine a degree of match; and

saving data indicative of each of the matches in a database to facilitate future reports, searches, transformation services and translation services.

15. The method of claim 14, wherein the feature attributes and the feature attribute enumerations in the between the first and the second feature catalogs are stated in different measurement systems, the method further comprising translating between the different measurement systems to determine the degree of match.

16. The method of claim 14, wherein one or more of the features, feature attributes, and feature attribute enumerations between the first and the second feature catalogs are stated in different languages, the method further comprising translating between the different languages to determine the degree of match.

17. The method of claim 14, wherein one or more of the features, feature attributes, and feature attribute enumerations between the first and the second feature catalogs are stated in different idiomatic contexts, the method further comprising translating between the different idiomatic contexts.

18. The method of claim 14, wherein one or more of the features, feature attributes, and feature attribute enumerations between the first and the second feature catalogs are expressed as acronyms, the method further comprising translating between the acronyms and terms from which the acronyms derive.

19. The method of claim 14, wherein the degrees of match comprise one of an exact match, a similar match, a vague match, and no match.

20. A computer readable medium comprising programming to be executed by a suitable computing device, the programming, when executed, comprising the steps of:

accessing a first feature catalog;

accessing a second feature catalog;

identifying features, feature attributes, and feature enumerations in the first feature catalog;

identifying potentially corresponding features, feature attributes, and feature attribute enumerations in the second feature catalog;

comparing the features, feature attributes, and feature attribute enumerations of the first and the second feature catalogs to determine a degree of match; and

saving data indicative of each of the matches in a database to facilitate future reports, searches, transformation services and translation services.