Dynamic spawn assets based on news feeds in a game

1. A method, in a data processing system, for dynamically spawning assets in a video game based on one or more news feeds, the method comprising:

semantically tagging a library of video game assets with game tag descriptors;

parsing and processing the one or more news feeds to identify supplemental tag descriptors and spawning parameters for one or more video game assets in the library of video game assets;

assigning the identified supplemental tag descriptors and spawning parameters to the one or more video game assets; and

spawning, by the data processing system, the one or more game assets in the video game in accordance with the supplemental tag descriptors and spawning parameters.

2. The method of claim 1 , wherein the game tag descriptors comprise at least one of location, time, lifespan, proximal density, asset attributes, or semantic relationships.

3. The method of claim 1 , wherein the one or more news feeds are received in real time from a server hosting a web site or application programming interface (API) external to the video game.

4. The method of claim 1 , wherein the one or more news feeds comprise one or more Really Simple Syndication (RSS) news feeds.

5. The method of claim 1 , wherein processing the one or more news feeds comprises performing machine learning, natural language processing, semantic analysis, and sentiment analysis.

6. The method of claim 1 , wherein assigning the identified supplemental tag descriptors to the one or more video game assets comprises mapping the supplemental tag descriptors to semantically categorized news feed assets and determining whether the semantically categorized news feed assets match video game assets related to topics relevant to the video game.

7. The method of claim 1 , wherein assigning spawning parameters to the supplemental game assets comprises applying a set of asset inclusion rules.

8. The method of claim 7 , wherein assigning spawning parameters to the supplemental game assets further comprises determining a location in the video game to place the one or more video game assets based on the set of asset inclusion rules.

9. The method of claim 7 , wherein the asset inclusion rules comprise location rules, time rules, asset type rules, asset lifespan rules, asset density rules, relationship rules, and spawning area rules.

10. The method of claim 1 , further comprising assigning text content from the one or more news feeds to text assets in the library of video game assets.

11. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to:

semantically tag a library of video game assets with game tag descriptors;

parse and process the one or more news feeds to identify supplemental tag descriptors and spawning parameters for one or more video game assets in the library of video game assets;

assign the identified supplemental tag descriptors and spawning, by the computing device, parameters to the one or more video game assets; and

spawn the one or more game assets in the video game in accordance with the supplemental tag descriptors and spawning parameters.

12. The computer program product of claim 11 , wherein the game tag descriptors comprise at least one of location, time, lifespan, proximal density, asset attributes, or semantic relationships.

13. The computer program product of claim 11 , wherein the one or more news feeds are received in real time from a server hosting a web site or application programming interface (API) external to the video game.

14. The computer program product of claim 11 , wherein the one or more news feeds comprise one or more Really Simple Syndication (RSS) news feeds.

15. The computer program product of claim 11 , wherein processing the one or more news feeds comprises performing machine learning, natural language processing, semantic analysis, and sentiment analysis.

16. The computer program product of claim 11 , wherein assigning the identified supplemental tag descriptors to the one or more video game assets comprises mapping the supplemental tag descriptors to semantically categorized news feed assets and determining whether the semantically categorized news feed assets match video game assets related to topics relevant to the video game.

17. The computer program product of claim 11 , wherein assigning spawning parameters to the supplemental game assets comprises applying a set of asset inclusion rules.

18. The computer program product of claim 17 , wherein the asset inclusion rules comprise location rules, time rules, asset type rules, asset lifespan rules, asset density rules, relationship rules, and spawning area rules.

19. The computer program product of claim 11 , wherein the computer readable program further causes the computing device to assign text content from the one or more news feeds to text assets in the library of video game assets.

20. An apparatus comprising:

a processor; and

a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to:

semantically tag a library of video game assets with game tag descriptors;

parse and process the one or more news feeds to identify supplemental tag descriptors and spawning parameters for one or more video game assets in the library of video game assets;

assign the identified supplemental tag descriptors and spawning parameters to the one or more video game assets; and

spawn, by the processor, the one or more game assets in the video game in accordance with the supplemental tag descriptors and spawning parameters.