Automatic extraction of semantics from text information

Details Automatic extraction of semantics from text information Automatic extraction of semantics from text information

2011-01-27

2011-11-15

Vital, Pierre (Department: 2156)

Data processing: database and file management or data structures

Database and file access

Search engines

C707S736000

Reexamination Certificate

active

08060491

ABSTRACT:
The present invention provides systems, methods and computer program products for extracting semantic information from text data having metadata associated therewith. A method according to an embodiment of the present invention includes selecting an ordered set of scale values for a plurality of scales and, for each of the scale values, determining one or more subset of metadata information related to the scale value. For each of the scales and associated subsets, a statistic on occurrences of content associated with the metadata in each subset is determined and the statistics are aggregated for each scale and associated subsets to determine a semantic level for the content. The scales and associated subsets having content with a semantic level above a threshold may be determined to extract semantic information across multiple time frames with the ordered set of scale values for the plurality of scales.

REFERENCES:
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patent: 7162055 (2007-01-01), Gu et al.
patent: 7184959 (2007-02-01), Gibbon et al.
patent: 2003/0195883 (2003-10-01), Mojsilovic et al.
patent: 2007/0266304 (2007-11-01), Fletcher et al.
patent: 2008/0018503 (2008-01-01), Kim et al.

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