METHOD AND SYSTEM FOR RETRIEVING INFORMATION

• US 20120296910A1
• Filed: 05/16/2011
• Published: 11/22/2012
• Est. Priority Date: 05/16/2011
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Skubacz, Michal, Zillner, Sonja
• Application Number:
  US13/108,653
• Publication Number:
  US 20120296910A1
• Time in Patent Office: Days
• US Class Current: 707/740
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/835 Query processing
• CPC Class Codes: G06F 16/838 Presentation of query results

Abstract

A method of retrieving information regarding an information resource, has the steps of: providing an information resource with a plurality of information instances from a first memory unit; providing a knowledge model with a plurality of type categories and a relationship between at least two type categories from a second memory unit; providing a multi-dimensional context model with a plurality of context categories and a number of dimensions corresponding to a number of the context categories from a third memory unit; annotating an information instance by one of the type categories; mapping at least one type category and/or annotating at least one information instance by one of the context categories; and; assigning a context variable to one of the context categories, the context variable determining a value of a context distance between the context category and the information instance mapped to the context category.

Claims

1. A method of retrieving information regarding an information resource, said method comprising:

providing at least one information resource from a first memory unit, the information resource including a plurality of information instances;

providing at least one knowledge model from a second memory unit, the knowledge model including a plurality of type categories and at least one relationship between at least one of said plurality of type categories and at least one other of said plurality of type categories;

providing a multi-dimensional context model from a third memory unit, the context model including a plurality of context categories, the context model having a number of dimensions corresponding to a number of said context categories;

annotating at least one information instance of said information resources by at least one of the plurality of type categories;

at least one of;

mapping at least one type category of said knowledge resource and annotating at least one information instance of said information resource by at least one of the plurality of context categories; and

assigning a context variable to at least one of the plurality of context categories, said context variable determining a value of a context distance between said context category and said information instance mapped to said context category.

2. The method according to claim 1, comprising the step of

retrieving a subset of said plurality of information instances by adjusting at least one context variable.

3. The method according to claim 2, comprising the step of

adjusting at least one of said context variables by at least one control element, the control element captioned by the context category assigned to said context variable.

4. The method according to claim 1, wherein the context model comprises at least one relationship between at least one of said plurality of context categories and at least one other of said plurality of context categories.

5. The method according to claim 1, wherein said information resource is an unstructured or semi-structured resource.

6. The method according to claim 5, wherein said information resource is formed by at least one of a group of resources, the group of resources including a document, a text, a collection of images and a website.

7. The method according to claim 1, wherein said knowledge model is a structured resource.

8. The method according to claim 7, wherein said knowledge model is formed by at least one of a group of resources, the group of resources including a taxonomy, a thesaurus, an ontology, a dictionary, a set of keywords and a lexicon.

9. The method according to claim 1, wherein the adjusting of said at least one context variable allows performing at least one of a group of actions on said subset of said plurality of information instances, the group of actions including a faceted browsing, a faceted search, a faceted navigation and a tree-like navigation.

10. The method according to claim 1, wherein at least one of the first memory unit, the second memory unit, and the third memory are formed by one memory unit.

11. A computer program product comprising a computer readable medium, which stores a program code and which, when executed on a computer, carries out a method comprising:

providing at least one information resource from a first memory unit, the information resource including a plurality of information instances;

providing at least one knowledge model from a second memory unit, the knowledge model including a plurality of type categories and at least one relationship between at least one of said plurality of type categories and at least one other of said plurality of type categories;

providing a multi-dimensional context model from a third memory unit, the context model including a plurality of context categories, the context model having a number of dimensions corresponding to a number of said context categories;

annotating at least one information instance of said information resources by at least one of the plurality of type categories;

at least one of;

mapping at least one type category of said knowledge resource and annotating at least one information instance of said information resource by at least one of the plurality of context categories; and

assigning a context variable to at least one of the plurality of context categories, said context variable determining a value of a context distance between said context category and said information instance mapped to said context category.

12. A system for retrieval of information regarding an information resource, the system comprising:

a memory unit storing an information resource, the knowledge resource including a plurality of information instances;

a memory unit storing a knowledge model, the knowledge model including a plurality of type categories and at least one relationship between at least one of said plurality of type categories and at least one other of said plurality of type categories;

a memory unit storing a multi-dimensional context model, the context model including a plurality of context categories, the context model including a plurality of context categories, the context model having a number of dimensions corresponding to a number of said context categories; and

;

at least one calculation unit for annotating at least one information instance of said information resources by at least one of the plurality of type categories and for at least one of;

mapping at least one type category of said knowledge resource and annotating at least one information instance of said information resource by at least one of the plurality of context categories, said calculation unit further assigning a context variable to at least one of the plurality of context categories, at least one context variable determining a value of a context distance between said context category and said information instance mapped to said context category.

13. The system according to claim 12, wherein the system is further operable to retrieve a subset of said plurality of information instances by adjusting at least one context variable.

14. The system according to claim 12, wherein the system is further operable to adjust at least one of said context variables by at least one control element, the control element captioned by the context category assigned to said context variable.

15. The system according to claim 12, wherein the context model comprises at least one relationship between at least one of said plurality of context categories and at least one other of said plurality of context categories.

16. The system according to claim 12, wherein said information resource is an unstructured or semi-structured resource.

17. The system according to claim 16, wherein said information resource is formed by at least one of a group of resources, the group of resources including a document, a text, a collection of images and a website.

18. The system according to claim 12, wherein said knowledge model is a structured resource.

19. The system according to claim 18, wherein said knowledge model is formed by at least one of a group of resources, the group of resources including a taxonomy, a thesaurus, an ontology, a dictionary, a set of keywords and a lexicon.

20. The system according to claim 12, wherein the adjusting of said at least one context variable allows performing at least one of a group of actions on said subset of said plurality of information instances, the group of actions including a faceted browsing, a faceted search, a faceted navigation and a tree-like navigation.