METHOD AND APPARATUS FOR USING MULTIPLE CHANNELS OF DISSEMINATED DATA CONTENT IN RESPONDING TO INFORMATION REQUESTS

• US 20080201314A1
• Filed: 02/20/2007
• Published: 08/21/2008
• Est. Priority Date: 02/20/2007
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Smith, John Richard, Tesic, Jelena, Stanoi, Ioana Roxana
• Application Number:
  US11/676,852
• Publication Number:
  US 20080201314A1
• Time in Patent Office: Days
• US Class Current: 707/5
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70

Abstract

Embodiments of the invention exploit the complementary and correlated information that is available across multiple channels of digital multimedia distribution, in order to ensure more efficient multimedia data access. One embodiment of the invention, directed to a method for generating a response to a specified request for information, is associated with multiple channels that are each adapted to carry and disseminate data content. The method comprises extracting data elements from each of the multiple channels, wherein each extracted data element pertains to one dimension of a plurality of correlation related dimensions. The method further comprises assigning each extracted data element to one of a plurality of correlation sets, wherein all the extracted data elements assigned to a particular set pertain to the same dimension, and each set is assigned data elements extracted from two or more different channels. Two or more of the correlation sets associated with the request are then selected, and the data content thereof is used to generate the response to the specified request.

Claims

1. In association with multiple channels that are each adapted to carry and disseminate data content, a method for generating a response to a specified request comprising the steps of:

extracting data elements from each of said multiple channels, wherein each extracted data element pertains to at least one dimension of a plurality of dimensions of correlation;

assigning each extracted data element to one of a plurality of correlation sets, wherein all of the extracted data elements assigned to a particular set pertain to the same dimension of correlation, and at least one of the sets is assigned data elements extracted from two or more different channels;

selecting two or more of said correlation sets that are associated with said request; and

using the data content of said selected correlation sets to generate said response to said specified request.

2. The method of claim 1, wherein:

said selecting step comprises selecting two or more of said correlation sets for inclusion in a semantic context container, wherein the collective information contained in said semantic context container is used to generate said response to said specified request.

3. The method of claim 2, wherein:

each of said correlation sets comprises a syntactic container adapted to hold data elements that are highly correlated with one of said dimensions of correlation.

4. The method of claim 3, wherein:

said extracted data elements include metadata and semantic data elements.

5. The method of claim 3, wherein:

said extracted data elements are used in providing said highly correlated data elements for each of said syntactic containers.

6. The method of claim 3, wherein:

said selecting step comprises selecting a plurality of said syntactic containers from a total number of stored syntactic containers constructed prior to a receipt of said specified request, wherein said total number substantially exceeds the number of syntactic containers of said plurality.

7. The method of claim 3, wherein:

each of said syntactic containers is constructed following a receipt of said specified request.

8. The method of claim 3, wherein:

said selecting step comprises either intersecting data from a plurality of said syntactic containers, or unifying data from a plurality of said syntactic containers, selectively, in order to provide correlated collective information for use in generating said response.

9. The method of claim 1, wherein:

said extracting step comprises detecting the presence or absence of semantic data elements in said multiple channels that respectively pertain to said specified request, wherein said semantic data elements are each selected from a group that includes elements pertaining to at least sites, scenes, objects, events, activities, persons and specified entities.

10. The method of claim 3, wherein:

contextual data elements related to said specified request are used to select two or more of said syntactic containers for inclusion in said semantic context container.

11. The method of claim 10, wherein:

said contextual data elements are selected from data content that includes at least visual content, tagging, key words, and associated annotation including visual descriptors, semantic descriptors, embedded metadata, and extracted metadata from the title, date, captions, surrounded HTML, channel information or time.

12. The method of claim 1, wherein:

said multiple channels are selected from several domains that include at least business, healthcare, entertainment, interactive and one-way, games, sports, science, arts, weather and travel.

13. In association with a computer system and multiple channels that are each adapted to carry and disseminate data content, a computer program product in a computer readable medium for generating a response to a specified request, said computer program product comprising:

first instructions for extracting data elements from each of said channels, wherein each extracted data element pertains to at least one dimension of a plurality of dimensions of correlation;

second instructions for assigning each extracted data element to one of a plurality of correlation sets, wherein all of the extracted data elements assigned to a particular set pertain to the same dimension of correlation, and at least one of the sets is assigned data elements extracted from two or more different channels;

third instructions for selecting two or more of said correlation sets that are associated with said request; and

fourth instructions for using the data content of said selected correlation sets to generate said response to said specified request.

14. The computer program product of claim 13, wherein:

said two or more of said correlation sets are selected for inclusion in a semantic context container, wherein the collective information contained in said semantic context container is used to generate said response to said specified request.

15. The computer program product of claim 14, wherein:

each of said correlation sets comprises a syntactic container adapted to hold data elements that are highly correlated with one of said dimensions of correlation.

16. The computer program product of claim 15, wherein:

said extracted data elements are used in providing said highly correlated data elements for each of said syntactic containers.

17. In a computer system associated with multiple channels that are each adapted to carry and disseminate data content, an apparatus for generating a response to a specified request comprising:

a first component for extracting data elements from each of said channels, wherein each extracted data element pertains to at least one dimension of a plurality of dimensions of correlation;

a second component for assigning each extracted data element to one of a plurality of correlation sets, wherein all of the extracted data elements assigned to a particular set pertain to the same dimension of correlation, and at least one of the sets is assigned data elements extracted from two or more different channels;

a third component for selecting two or more of said correlation sets that are associated with said request; and

a fourth component for using the data content of said selected correlation sets to generate said response to said specified request.

18. The apparatus of claim 17, wherein:

said two or more of said correlation sets are selected for inclusion in a semantic context container, wherein the collective information contained in said semantic context container is used to generate said response to said specified request.

19. The apparatus of claim 18, wherein:

each of said correlation sets comprises a syntactic container adapted to hold data elements that are highly correlated with one of said dimensions of correlation.

20. The apparatus of claim 19, wherein:

said extracted data elements are used in providing said highly correlated data elements for each of said syntactic containers.