Method and apparatus for electronically extracting application specific multidimensional information from documents selected from a set of documents electronically extracted from a library of electronically searchable documents

Abstract

An apparatus and method is disclosed for providing application specific multi-dimensional information to an application running on a user computing device, wherein at least one dimension of the information is a category, from a plurality of member documents electronically extracted from a library of electronically searchable documents, which may comprise an application specific multidimensional information extractor adapted to extract occurrences of prospective representations of dimensions of application specific multidimensional information from the member documents, and to extract occurrences of non-application specific multidimensional information from the member documents; and, an encoder adapted to encode the occurrences of prospective dimensions of application specific multidimensional information and non-application specific multidimensional information contained in member documents according to a dimension specific coded representation of each dimension of application specific multidimensional information and a non-application specific coded representation of each non-application specific multidimensional information element. The apparatus and method may further comprise a member document identifier adapted to determine whether a member document contains coded formatting, and if not, whether the member document is a dense document, and if not, for rejecting the document from further processing, and the coded formatting may comprise network markup language coding. The apparatus and method may further comprise an application specific multidimensional information verification unit adapted verify the extraction of application specific multi-dimensional information from the member documents, and may further comprise a database for storing the application specific multi-dimensional information adapted to provide an application running on a user computing device access to the application specific multidimensional information. The application specific multidimensional information may be scheduled events having the dimensions of time, location and event identity, and the application running on the user computer can be an electronic calendar or other similar scheduling software program.

1 - 264 . (canceled)  
   
   
       265 . An apparatus for providing application specific multidimensional information to an application running on a user computing device, wherein at least one dimension of the information is a category, from a plurality of member documents electronically extracted from a library of electronically searchable documents, comprising: 
 a co-occurrence model detector adapted to prospective application specific information through the occurrence of dimension specific essential key words complying with dimension specific co-occurrence model models.    
   
   
       266 . The apparatus of  claim 265 , 
 wherein the co-occurrence model detector employs at least one intra-level co-occurrence model and at least one inter-level co-occurrence model.    
   
   
       267 . The apparatus of  claim 266 , wherein 
 wherein the inter-level co-occurrences are the co-occurrences of an occurrence of an intra-level co-occurrence.    
   
   
       268 . An apparatus for providing application specific multidimensional information to an application running on a user computing device, wherein at least one dimension of the information is a category, from a plurality of member documents electronically extracted from a library of electronically searchable documents, comprising: 
 a cyclical dimension specific cyclical dimension pattern detector adapted to detect the occurrence of a dimension specific cyclical dimension information pattern and to identify the dimension information occurring first in each such occurrence of such cyclical dimension information pattern, and adapted to utilize the identified dimension information occurring first in each such occurrence to extract additional multidimensional information.