Method and system for selective tracking of semantic web data using distributed update events

• US 20070185882A1
• Filed: 02/06/2006
• Published: 08/09/2007
• Est. Priority Date: 02/06/2006
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Vincent, Christopher, Betz, Joseph
• Application Number:
  US11/348,194
• Publication Number:
  US 20070185882A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/986 Document structures and storage, e.g. HTML extensions

Abstract

Disclosed are a method of and system for selective tracking of semantic web data. The method comprises the steps of providing a set of semantic web statements, identifying one or more subsets of said set of semantic web statements, and storing said one or more subsets on a given computer system. One or more trackers are established, with each of said trackers being associated with a respective one of said subsets; and when updates to semantic web statements in said set are issued, said one or more trackers are used to identify which ones of said updates are updates to semantic web statements in said one or more subsets. Preferably, each of the trackers is able to determine from a single statement update event if that statement is in the subset associated with said each tracker.

Claims

1. A method of selective tracking of semantic web data, comprising the steps of:

providing a set of semantic web statements;

identifying one or more subsets of said set of semantic web statements;

storing said one or more subsets on a given computer system;

establishing one or more trackers, each of said trackers being associated with a respective one of said subsets;

issuing updates to semantic web statements in said set; and

using said one or more trackers to identify which ones of said updates are updates to semantic web statements in said one or more subsets.

2. The method according to claim 1, wherein each of the trackers is able to determine from a single statement update event if that statement is in the subset associated with said each tracker.

3. The method according to claim 1, wherein the step of identifying one or more subset of said set of semantic web statements includes the step of using said given computer system to identify said one or more subsets.

4. The method according to claim 3, wherein the step of establishing one or more trackers includes the step of using said given computer system to establish said one or more trackers.

5. The method according to claim 1, wherein:

the providing step includes the step of representing said set of semantic web statements as a graph; and

the step of identifying one or more subsets of said set includes the step of identifying a sub-graph of said graph.

6. The method according to claim 1, wherein:

the given computer is a client computer;

the step of providing a set of semantic web statements includes the step of storing said set of semantic web statements on a server computer; and

the step of storing said one or more subsets on the given computer system includes the step of, said client computer using said one or more trackers to obtain said one or more subsets from the server computer.

7. A computer system for selective tracking of semantic web data, said computer system including instructions for:

accessing a set of semantic web statements;

receiving one or more subsets of said set of semantic web statements;

storing said one or more subsets on said computer system;

accessing one or more trackers, each of said trackers being associated with a respective one of said subsets;

receiving updates to semantic web statements in said set; and

using said one or more trackers to identify which ones of said updates are updates to semantic web statements in said one or more subsets.

8. The computer system according to claim 7, wherein each of the trackers is able to determine from a single statement update event if that statement is in the subset associated with said each tracker.

9. The computer system according to claim 7, wherein the instructions for receiving said one or more subset of said set of semantic web statements includes instructions for identifying said one or more subsets.

10. The computer system according to claim 9, wherein the instructions for accessing said one or more trackers includes include instructions for establishing said one or more trackers.

11. The computer system according to claim 7, wherein said set of semantic web statement are represented as a graph, and the instructions for receiving said one or more subsets of said set include instructions for identifying a sub-graph of said graph.

12. The computer system according to claim 7, wherein the computer system is a client computer and the semantic web statements are stored on a separate, server computer, and

the instructions for receiving said one or more subsets include instructions for using said one or more trackers to obtain said one or more subsets from the server computer.

13. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for selective tracking of semantic web data, said method steps comprising:

providing a set of semantic web statements;

identifying one or more subsets of said set of semantic web statements;

storing said one or more subsets on a given computer system;

establishing one or more trackers, each of said trackers being associated with a respective one of said subsets;

issuing updates to semantic web statements in said set; and

using said one or more trackers to identify which ones of said updates are updates to semantic web statements in said one or more subsets.

14. The program storage device according to claim 13, wherein each of the trackers is able to determine from a single statement update event if that statement is in the subset associated with said each tracker.

15. The program storage device according to claim 13, wherein the step of identifying one or more subset of said set of semantic web statements includes the step of using said given computer system to identify said one or more subsets.

16. The program storage device according to claim 15, wherein the step of establishing one or more trackers includes the step of using said given computer system to establish said one or more trackers.

17. The program storage device according to claim 13, wherein:

the providing step includes the step of representing said set of semantic web statements as a graph; and

the step of identifying one or more subsets of said set includes the step of identifying a sub-graph of said graph.

18. The program storage device according to claim 13, wherein the given computer is a client computer, and wherein:

the step of providing a set of semantic web statements includes the step of storing said set of semantic web statements on a server computer; and

the step of storing said one or more subsets on the given computer system includes the step of causing said client computer to use said one or more trackers to obtain said one or more subsets from the server computer.