Abstract: Methods, devices and systems are described for transcribing text from artifacts to electronic files. A computer system is provided, wherein the computer system comprises a computer-readable storage device. An image of the artifact is received wherein text is present on the artifact. A first portion of the text is analyzed. Characters representing the first portion of the text are identified at a first confidence level equal to or greater than a threshold confidence level. The characters representing the first portion of the text are stored. A second portion of the text appearing on the artifact is analyzed. A plurality of candidates to represent the second portion of the text are identified at a second confidence level below the threshold confidence level. Finally, the plurality of candidates to a user for selection are presented.

Abstract: Methods, devices and systems are described for transcribing text from artifacts to electronic files. A computer system is provided, wherein the computer system comprises a computer-readable storage device. An image of the artifact is received wherein text is present on the artifact. A first portion of the text is analyzed. Characters representing the first portion of the text are identified at a first confidence level equal to or greater than a threshold confidence level. The characters representing the first portion of the text are stored. A second portion of the text appearing on the artifact is analyzed. A plurality of candidates to represent the second portion of the text are identified at a second confidence level below the threshold confidence level. Finally, the plurality of candidates to a user for selection are presented.

Abstract: Methods, devices and systems are described for transcribing text from artifacts to electronic files. A computer system is provided, wherein the computer system comprises a computer-readable storage device. An image of the artifact is received wherein text is present on the artifact. A first portion of the text is analyzed. Characters representing the first portion of the text are identified at a first confidence level equal to or greater than a threshold confidence level. The characters representing the first portion of the text are stored. A second portion of the text appearing on the artifact is analyzed. A plurality of candidates to represent the second portion of the text are identified at a second confidence level below the threshold confidence level. Finally, the plurality of candidates to a user for selection are presented.

Abstract: Systems and methods are disclosed for consolidating information retrieval results. According to some embodiments of the invention, a computer system can be used to create a result set in response to a query. Results in the result set can then be compared with each other to determine whether they contain information regarding a single object or entity, in which case the records are consolidated and redundant data is removed. The computer system can then present the consolidated result on a display.

Abstract: Systems and methods are disclosed for consolidating information retrieval results. According to some embodiments of the invention, a computer system can be used to create a result set in response to a query. Results in the result set can then be compared with each other to determine whether they contain information regarding a single object or entity, in which case the records are consolidated and redundant data is removed. The computer system can then present the consolidated result on a display.

Abstract: Systems and methods are disclosed for consolidating information retrieval results. According to some embodiments of the invention, a computer system can be used to retrieve and rank results in a first result set, in response to a query. The computer system can then perform a more in-depth comparison of the results with the query to determine a more complete correlation of the data in a result with the terms in the query. Each result can then be scored according to its correlation with the search query, and results that do not meet minimum threshold score can be dropped, the remaining results comprising a second result set. Results in the second result set can then be compared with each other to determine whether they contain information regarding a single object or entity, in which case the records are consolidated and redundant data is removed. The computer system can then present the consolidated result on a display.

Abstract: Systems and methods are disclosed for consolidating information retrieval results. According to some embodiments of the invention, a computer system can be used to retrieve and rank results in a first result set, in response to a query. The computer system can then perform a more in-depth comparison of the results with the query to determine a more complete correlation of the data in a result with the terms in the query. Each result can then be scored according to its correlation with the search query, and results that do not meet minimum threshold score can be dropped, the remaining results comprising a second result set. Results in the second result set can then be compared with each other to determine whether they contain information regarding a single object or entity, in which case the records are consolidated and redundant data is removed. The computer system can then present the consolidated result on a display.

Abstract: Methods, devices and systems are described for transcribing text from artifacts to electronic files. A computer system is provided, wherein the computer system comprises a computer-readable storage device. An image of the artifact is received wherein text is present on the artifact. A first portion of the text is analyzed. Characters representing the first portion of the text are identified at a first confidence level equal to or greater than a threshold confidence level. The characters representing the first portion of the text are stored. A second portion of the text appearing on the artifact is analyzed. A plurality of candidates to represent the second portion of the text are identified at a second confidence level below the threshold confidence level. Finally, the plurality of candidates to a user for selection are presented.

Abstract: Systems, methods, and techniques are described for correcting pedigree information. A new pedigree record of a person may be received at a computer system. A stored pedigree record of a person may be selected if it is determined that the second person is likely to be the first person at some confidence level at or above a threshold confidence level. A comparison of data elements of the new pedigree record with data elements of the stored pedigree record may be conducted. A first data element of the new pedigree and a second data element of the stored pedigree that are not equivalent may be identified. An analysis as to which data element is more likely to be correct may be conducted. The incorrect data element may then be corrected with the correct data element.