User interface framework

• US 20040010491A1
• Filed: 03/13/2003
• Published: 01/15/2004
• Est. Priority Date: 06/28/2002
• Status: Abandoned Application

• Current Assignee: SAP AG (SAP SE)
• Original Assignee: SAP AG (SAP SE)
• Inventors: Riedinger, Markus
• Application Number:
  US10/389,701
• Publication Number:
  US 20040010491A1
• Time in Patent Office: Days
• US Class Current: 707/3
• CPC Class Codes: G06F 16/24564 Applying rules; Deductive queries
• CPC Class Codes: G06F 16/367 Ontology
• CPC Class Codes: G06F 16/38 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

Systems and techniques are presented to find or locate resources in an organization using ontology. In general, in one implementation, the technique includes a system with a plurity of information sources and ontology defined to relate the information sources in a problem set, where the problem set may include metadata. A language can be used to define the ontology, where the language can include rules, statements, and declarative semantics. A query is initiated in a user interface, and an ontology search engine is configured to search the information sources from the parameters of the query.

Claims

1. A method of identifying resources in an organization, the method comprising:

creating a problem set from a plurality of information sources;

defining an ontology for the problem set using the plurality of information sources;

according to the ontology, arranging one or more information sources into a relational network that includes metadata associated with the one or more information sources;

searching the problem set with a search engine; and

accessing the relational network with a user interface.

2. The method of claim 1, wherein the information sources include at least one dynamic information source.

3. The method of claim 1, further comprising:

locating resources in a plurity of organizations, in which each organization shares information sources with other organizations.

4. The method of claim 1, wherein the information sources include one or more of structured, semi-structured, and unstructured information.

5. A method of identifying one or more persons in an organization, the method comprising:

creating a problem set from a plurality of information sources;

defining an ontology for the problem set using the plurality of information sources;

according to the defined ontology, arranging one or more information sources into a relational network that includes metadata associated with the one or more information sources;

searching the problem set with a search engine; and

accessing the relational network with a user interface.

6. The method of claim 5, wherein the information sources include one or more dynamic information sources.

7. The method of claim 5, further comprising:

locating resources in a plurity of organizations, in which each organization shares information sources with other organizations.

8. The method of claim 5, wherein the problem set includes one or more of structured, semi-structured, and unstructured information.

9. The method of claim 5, wherein the ontology uses an extensible Markup Language (XML) data model.

10. The method of claim 5, wherein the search engine is an ontology-based search engine that is adaptable to changes in the problem set.

11. A method of identifying one or more persons in an organization, the method comprising:

initiating a query for a set of one or more persons;

sending query information to an ontology-based search engine; and

defining a problem set within a plurity of information sources, wherein the search engine includes ontology-based rules and searches for information within the problem set based on the query.

12. The method of claim 11, wherein the ontology-based search engine is a deductive database engine.

13. The method of claim 11, further comprising:

locating people or a set of people in a plurity of organizations, in which each organization shares information sources with other organizations.

14. The method of claim 11, wherein the problem set includes metadata.

15. The method of claim 11, wherein the information sources include one or more dynamic information sources.

16. The method of claim 11, wherein the information sources include databases storing information related to one or more of projects, products, human resource and employment information, and customer accounts.

17. The method of claim 11, wherein the information sources include documents corresponding to one or more of products, projects, sales, and presentations.

18. The method of claim 11, wherein the ontology-based search engine is adaptable to changes in the problem set.

19. The method of claim 11, further comprising defining the rules with language statements.

20. The method of claim 19, wherein the results are independent of a sequence of the rules or a sequence of the statements within the rules.

21. A system for identifying a set of one or more persons in an organization, the system comprising;

a plurity of information sources;

an ontology defined to relate the plurality of information sources in a relational network that includes metadata associated with the one or more information sources;

a user interface utilizing the ontology; and

an ontology engine configured to search the plurality of information sources from a query initiated in the user interface.

22. The system of claim 21, wherein the information sources include one or more dynamic information sources.

23. The method of claim 21, wherein the ontology engine is adaptable to changes in the problem set.

24. A system comprising:

a plurity of information sources;

an ontology defined to relate the plurality of information sources in a problem set that includes metadata;

a language to define the ontology, wherein the language includes rules, statements, and declarative semantics; and

an ontology search engine configured to search the plurality of information sources based on a received query.

25. The system of claim 24, wherein the information sources include one or more dynamic information sources.

26. The system of claim 24, wherein the results are independent of a sequence of the rules or a sequence of the statements within the rules.

27. The system of claim 24, wherein the system is used for identifying a person or a set of persons in an organization.

28. An article comprising a machine-readable medium storing instructions operable to cause one or more machines to perform operations comprising:

create a problem set from a plurality of information sources;

define an ontology for problem set using the plurality of information sources;

according to the ontology, arrange one or more information sources into a relational network that includes metadata associated with the one or more information sources;

search the problem set with an ontology-based search engine; and

access the relational network with a user interface.

29. The article of claim 28, wherein the ontology-based search engine is adaptable to changes in the problem set.

30. The article of claim 28, wherein the problem set includes one or more of structured, semi-structured, and unstructured information.

31. The article of claim 28, wherein one or more machines further perform the operation of identifying a person or a set of persons in an organization.

32. An article comprising a machine-readable medium storing instructions operable to cause one or more machines to perform operations comprising:

initiate a query for a set of one or more persons;

send query information to an ontology-based search engine;

define a problem set within a plurity of information sources, wherein the ontology-based search engine includes ontology-based rules and searches for information within the problem set based on the query;

retrieve results from the search engine; and

access the results.

33. The article of claim 32, wherein the ontology-based search engine is adaptable to changes in the problem set.

34. The article of claim 32, wherein one or more machines further perform the operation of identifying a person or a set of persons in an organization.

35. The article of claim 32, wherein the rules are defined with a language with statements.

36. The article of claim 35, wherein the results are independent of a sequence of the rules or a sequence of the statements within the rules.

37. The article of claim 35, further comprising instructions to locate resources in a plurity of organizations, in which each organization shares information sources with other organizations.

38. The article of claim 37, further comprising:

an information source of a first organization;

an information source of a second organization, wherein the first organization and the second organization share information sources;

an information source of a third organization, wherein the second organization and the third organization share information sources separately from the shared information sources of the first organization and the second organization; and

an ontology relating the information source of the first organization and the information source of the third organization, wherein information sources are shared between the first organization and the third organization using the ontology and the information source of the second organization.