Derivation of relationships between data sets using structured tags or schemas

• US 20080005134A1
• Filed: 06/30/2006
• Published: 01/03/2008
• Est. Priority Date: 06/30/2006
• Status: Active Grant

• Current Assignee: Deem, Incorporated (Jack Taylor Family Voting Trust U A D 4 14 99)
• Original Assignee: Rearden Commerce Inc
• Inventors: Welch, Peter, Mortimore, William Charles
• Granted Patent: US 7,865,513 B2
• Time in Patent Office: Days
• US Class Current: 707/100
• CPC Class Codes: G06F 16/35 Clustering; Classification

Abstract

In one embodiment, a knowledge base is automatically built for enriching feeds coming from different sources and that have tags of different conventions, by deducting which tags go into various categories of knowledge. In one embodiment, method for a relationship between objects is determined based on the relationships between their tags.

Claims

1. ) A method comprising:

Reading data tags of a first data object received from a network connection;

Reading data tags of a second data object received from a network connection;

Identifying a relationship between the first and second data objects based on one or more data tags of the respective data objects as matching based on predetermined criteria.

2. ) The method of claim 1, wherein the matching of data tags from separate data objects includes identifying the data tags as members of a common category.

3. ) The method of claim 1, wherein the first data object is one of a first set of data objects, and the second data object is one of a second set of data objects.

4. ) The method of claim 1, wherein one or more of the data tags have a weighted value, and the predetermined criteria includes the weighted values of the matching tags of the first and second data objects, being equal to or greater than a predetermined value.

5. ) The method of claim 3, wherein the first data set corresponds to travel set, and the second data set corresponds to a second travel set, and the first and second data sets include data objects corresponding to one or more of a flight, a hotel, and a restaurant.

6. ) The method of claim 4, further comprises presenting the matching data objects from the first and second data sets, as matching data objects.

7. ) A machine readable medium having stored thereon a set of instructions which when executed perform a method comprising:

Reading data tags of a first data object received from a network connection;

Reading data tags of a second data object received from a network connection;

Identifying a relationship between the first and second data objects based on one or more data tags of the respective data objects as matching based on predetermined criteria.

8. ) The machine readable medium of claim 7, wherein the matching of data tags from separate data objects includes identifying the data tags as members of a common category.

9. ) The machine readable medium of claim 7, wherein the first data object is one of a first set of data objects, and the second data object is one of a second set of data objects.

10. ) The machine readable medium of claim 7, wherein one or more of the data tags have a weighted value, and the predetermined criteria includes the weighted values of the matching tags of the first and second data objects, being equal to or greater than a predetermined value.

11. ) The machine readable medium of claim 9, wherein the first data set corresponds to travel set, and the second data set corresponds to a second travel set, and the first and second data sets include data objects corresponding to one or more of a flight, a hotel, and a restaurant.

12. ) The machine readable medium of claim 10, further comprises presenting the matching data objects from the first and second data sets, as matching data objects.

13. ) A system comprising:

A means for reading data tags of a first data object received from a network connection;

A means for reading data tags of a second data object received from a network connection;

A means for identifying a relationship between the first and second data objects based on one or more data tags of the respective data objects as matching based on predetermined criteria.

14. ) The system of claim 13, wherein the means for matching of data tags from separate data objects includes a means for identifying the data tags as members of a common category.

15. ) The system of claim 13, wherein the first data object is one of a first set of data objects, and the second data object is one of a second set of data objects.

16. ) The system of claim 13, wherein one or more of the data tags have a weighted value, and the predetermined criteria includes the weighted values of the matching tags of the first and second data objects, being equal to or greater than a predetermined value.

17. ) The system of claim 15, wherein the first data set corresponds to a first travel set, and the second data set corresponds to a second travel set, and the first and second data sets include data objects corresponding to one or more of a flight, a hotel, and a restaurant.

18. ) The system of claim 16, further comprises a means for presenting the matching data objects from the first and second data sets, as matching data objects.