Abstract: A data processing system is configured to pre-process data for a machine learning classifier. The data processing system includes an input port that receives one or more data items, an extraction engine that extracts a plurality of data signatures and structure data, a logical rule set generation engine configured to generate a data structure, select a particular data signature of the data structure, identify each instance of the particular data signature in the data structure, segment the data structure around instances of the particular data signature, identify one or more sequences of data signatures connected to the particular data signature, and generate a logical ruleset. A classification engine executes one or more classifiers against the logical ruleset to classify the one or more data items received by the input port.

Abstract: A data processing system is configured to pre-process data for a machine learning classifier. The data processing system includes an input port that receives one or more data items, an extraction engine that extracts a plurality of data signatures and structure data, a logical rule set generation engine configured to generate a data structure, select a particular data signature of the data structure, identify each instance of the particular data signature in the data structure, segment the data structure around instances of the particular data signature, identify one or more sequences of data signatures connected to the particular data signature, and generate a logical ruleset. A classification engine executes one or more classifiers against the logical ruleset to classify the one or more data items received by the input port.

Abstract: Processes, data structures, and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.

Abstract: A system and method for extracting a plurality of structured data from one or more information sources. The method comprises receiving the information sources, receiving at least one pattern descriptor selected from a graphical user interface, and receiving one or more templates with each templates having at least one pattern descriptor. The method then proceeds to apply the one or more templates to the information sources. The method generates the plurality of structured data in a common format by parsing the information sources with the templates. The method stores the structured data in the common format.

Abstract: A magnet assembly comprises two pole pieces mounted so that their respective pole faces are in generally parallel spaced relationship. A mechanism applies force to one of the pole pieces at a location adjacent the pole face thereof and in direction transverse to the distance between the pole faces, whereby the pole piece that is acted upon is elastically strained and the relative orientation of the pole faces is altered accordingly.