Abstract: The invention relates to electronic indexing, and more particularly, to the indexing, in a cloud, data held in a cloud. Systems and methods of the invention index data by accessing the data in place in the cloud and breaking a job into work items and sending the work items to multiple cloud processes that can each determine whether to index data associated with the work item or to create a new work item and have a different cloud process index the data. Each cloud process is proximal to an item that it indexes. This gives the system scale as well as an internal load-balancing.

Abstract: This invention provides systems and methods for data processing by means of an ongoing background process on an end-user's computer. As a user receives and generates data, files are analyzed. A container file is opened into the volatile memory and its contents (including data and metadata) are extracted, without requiring an index to be created. The extracted components are analyzed based on predefined characteristics.

Abstract: The invention relates to electronic indexing, and more particularly, to the parallelization of indexing. Systems and methods of the invention index data archives by breaking a job into work items and sending the work items to multiple processors that can each determine whether to index data associated with the work item or to create a new work item and have a different processor index the data. This gives the system an internal load-balancing that results in indexing jobs during which no processor stands idle while another processor indexes data of unexpected complexity.

Abstract: A system and method for parallelizing document indexing in a data processing system. The data processing system includes a primary processor for receiving a list of data having embedded data associated therewith, at lest one secondary processor to process the data as provided by the primary processor, a data processor to determine a characteristic of the embedded data and process the embedded data based upon the characteristic, and a messaging module to exchange at least one status message between the primary processor and the at least one secondary processor.

Abstract: The invention relates to electronic indexing, and more particularly, to the indexing, in a cloud, data held in a cloud. Systems and methods of the invention index data by accessing the data in place in the cloud and breaking a job into work items and sending the work items to multiple cloud processes that can each determine whether to index data associated with the work item or to create a new work item and have a different cloud process index the data. Each cloud process is proximal to an item that it indexes. This gives the system scale as well as an internal load-balancing.

Abstract: The invention relates to electronic indexing, and more particularly, to the parallelization of indexing. Systems and methods of the invention index data archives by breaking a job into work items and sending the work items to multiple processors that can each determine whether to index data associated with the work item or to create a new work item and have a different processor index the data. This gives the system an internal load-balancing that results in indexing jobs during which no processor stands idle while another processor indexes data of unexpected complexity.

Abstract: A system and method for parallelizing document indexing in a data processing system. The data processing system includes a primary processor for receiving a list of data having embedded data associated therewith, at least one secondary processor to process the data as provided by the primary processor, a data processor to determine a characteristic of the embedded data and process the embedded data based upon the characteristic, and a messaging module to exchange at least one status message between the primary processor and the at least one secondary processor.

Abstract: The invention relates to electronic indexing, and more particularly, to the indexing, in a cloud, data held in a cloud. Systems and methods of the invention index data by accessing the data in place in the cloud and breaking a job into work items and sending the work items to multiple cloud processes that can each determine whether to index data associated with the work item or to create a new work item and have a different cloud process index the data. Each cloud process is proximal to an item that it indexes. This gives the system scale as well as an internal load-balancing.

Abstract: The invention relates to electronic indexing, and more particularly, to the parallelization of indexing. Systems and methods of the invention index data archives by breaking a job into work items and sending the work items to multiple processors that can each determine whether to index data associated with the work item or to create a new work item and have a different processor index the data. This gives the system an internal load-balancing that results in indexing jobs during which no processor stands idle while another processor indexes data of unexpected complexity.

Abstract: A system and method for parallelizing document indexing in a data processing system. The data processing system includes a primary processor for receiving a list of data having embedded data associated therewith, at least one secondary processor to process the data as provided by the primary processor, a data processor to determine a characteristic of the embedded data and process the embedded data based upon the characteristic, and a messaging module to exchange at least one status message between the primary processor and the at least one secondary processor.

Abstract: A document comparison and identification method comprises the steps of: identifying (S210), in a source document, words of a predetermined number of characters or greater; generating a list containing the identified words (S220), and excluding (S220) identified words occurring with a predetermined frequency or greater throughout a set of documents to be searched; searching (S230) each of the plurality of documents in the set of documents for occurrences of the identified words stored in the list; for each of the plurality of documents, determining (S230) how many identified words from the list occur in the document; and calculating (S240) a similarity of each of the plurality of documents to the source document based on the total number of identified words in the list, the number of identified words in the list occurring in the document, and a predetermined minimum required number of matches.