Abstract: Described are computer-implementable method, system and computer-readable storage medium for segmenting data and information of unstructured data sources. The data and information can be documents and files. Connecting is performed to one or more unstructured data sources that store the data and information. Metadata is extracted from the data and information. A probability using one or more algorithms, as to existence of defined indicators of the data and information is performed. Segmentation is performed based on the calculated probability of indicator. Assessing of data and information is performed to confirm the indicators. Training of algorithms if determined is performed.

Abstract: Provided is a technique for matching different user representations of a person in a plurality of computer systems may be provided. The technique includes collecting information sets about user representations from a plurality of computer systems; normalizing the information sets to a unified format; grouping the information sets in the unified format into indexing buckets based on a user name using a non-phonetic algorithm; determining a similarity score for each pair of information sets in each of the indexing buckets; classifying each information set pair into a set of classes based on the similarity scores, wherein the set of classes comprise at least matches and non-matches; and using a data structure for merging information of information set pairs classified as matches.

Abstract: An embodiment of the invention pertains to processing messages received from a set of devices. A mapping of message fields to fact table columns is stored in a mapping table of a relational database. The method comprises, for each received message, determining all fields of the received message. If it is determined that the mapping table does not assign a fact table column to each of the determined fields of the message, a new mapping between message fields to respective fact table is automatically stored in the mapping table. A mapping is identified in the mapping table that assigns each of the determined fields of the message to a respective one of the columns of the fact table. The field values of the message are stored in the fact table in accordance with the identified mapping.

Abstract: Provided is a technique for matching different user representations of a person in a plurality of computer systems may be provided. The technique includes collecting information sets about user representations from a plurality of computer systems; normalizing the information sets to a unified format; grouping the information sets in the unified format into indexing buckets based on a user name using a non-phonetic algorithm; determining a similarity score for each pair of information sets in each of the indexing buckets; classifying each information set pair into a set of classes based on the similarity scores, wherein the set of classes comprise at least matches and non-matches; and using a data structure for merging information of information set pairs classified as matches.

Abstract: An embodiment of the invention pertains to processing messages received from a set of devices. A mapping of message fields to fact table columns is stored in a mapping table of a relational database. The method comprises, for each received message, determining all fields of the received message. If it is determined that the mapping table does not assign a fact table column to each of the determined fields of the message, a new mapping between message fields to respective fact table is automatically stored in the mapping table. A mapping is identified in the mapping table that assigns each of the determined fields of the message to a respective one of the columns of the fact table. The field values of the message are stored in the fact table in accordance with the identified mapping.

Abstract: A computer-implemented method, carried out by one or more processors, for consolidating an index entry of a dictionary. In an embodiment, the method comprises the steps of receiving, by one or more processors, a set of parameters, wherein the set of parameters indicates at least a length of prefix and a length of hash value; receiving, by one or more processors, a first term for entry into an index; converting, by one or more processors, the first term for entry into the index according to the set of parameters; and responsive to determining the converted first term is not present in the index, storing, by one or more processors, the first converted term into the index.

Abstract: A computer-implemented method, carried out by one or more processors, for consolidating an index entry of a dictionary. In an embodiment, the method comprises the steps of receiving, by one or more processors, a set of parameters, wherein the set of parameters indicates at least a length of prefix and a length of hash value; receiving, by one or more processors, a first term for entry into an index; converting, by one or more processors, the first term for entry into the index according to the set of parameters; and responsive to determining the converted first term is not present in the index, storing, by one or more processors, the first converted term into the index.

Abstract: A computer manages methods for determining accurate document transformation by rendering the source document into a non-rasterized format, where the non-rasterized format is a rendered source document. The computer rendering the target document into a non-rasterized format, where the non-rasterized format is a rendered target document. The computer comparing one or more aspects of the rendered source document to corresponding one or more aspects of the rendered target document. The computer determining, based, at least in part, on the compared one or more aspects, whether or not the source document was accurately transformed to the target document.

Abstract: A computer manages methods for determining accurate document transformation by rendering the source document into a non-rasterized format, where the non-rasterized format is a rendered source document. The computer rendering the target document into a non-rasterized format, where the non-rasterized format is a rendered target document. The computer comparing one or more aspects of the rendered source document to corresponding one or more aspects of the rendered target document. The computer determining, based, at least in part, on the compared one or more aspects, whether or not the source document was accurately transformed to the target document.

Abstract: According to one embodiment of the present invention, a system for accessing protected content includes a first computing device with at least one processor. The system determines one or more users associated with information required to access content of a protected document based on a set of rules. A request is generated and sent to at least one second computing device associated with the one or more determined users to retrieve and utilize the required information to access the content of the protected document. Embodiments of the present invention further include a method and computer program product for accessing protected content in substantially the same manner described above.

Abstract: A computer manages methods for determining accurate document transformation by rendering the source document into a non-rasterized format, where the non-rasterized format is a rendered source document. The computer rendering the target document into a non-rasterized format, where the non-rasterized format is a rendered target document. The computer comparing one or more aspects of the rendered source document to corresponding one or more aspects of the rendered target document. The computer determining, based, at least in part, on the compared one or more aspects, whether or not the source document was accurately transformed to the target document.

Abstract: A computer manages methods for determining accurate document transformation by rendering the source document into a non-rasterized format, where the non-rasterized format is a rendered source document. The computer rendering the target document into a non-rasterized format, where the non-rasterized format is a rendered target document. The computer comparing one or more aspects of the rendered source document to corresponding one or more aspects of the rendered target document. The computer determining, based, at least in part, on the compared one or more aspects, whether or not the source document was accurately transformed to the target document.

Abstract: Provided is a technique for matching different user representations of a person in a plurality of computer systems may be provided. The technique includes collecting information sets about user representations from a plurality of computer systems; normalizing the information sets to a unified format; grouping the information sets in the unified format into indexing buckets based on a user name using a non-phonetic algorithm; determining a similarity score for each pair of information sets in each of the indexing buckets; classifying each information set pair into a set of classes based on the similarity scores, wherein the set of classes comprise at least matches and non-matches; and using a data structure for merging information of information set pairs classified as matches.

Abstract: Provided is a technique for matching different user representations of a person in a plurality of computer systems may be provided. The technique includes collecting information sets about user representations from a plurality of computer systems; normalizing the information sets to a unified format; grouping the information sets in the unified format into indexing buckets based on a user name using a non-phonetic algorithm; determining a similarity score for each pair of information sets in each of the indexing buckets; classifying each information set pair into a set of classes based on the similarity scores, wherein the set of classes comprise at least matches and non-matches; and using a data structure for merging information of information set pairs classified as matches.

Abstract: A computer-implemented method, carried out by one or more processors, for consolidating an index entry of a dictionary. In an embodiment, the method comprises the steps of receiving, by one or more processors, a set of parameters, wherein the set of parameters indicates at least a length of prefix and a length of hash value; receiving, by one or more processors, a first term for entry into an index; converting, by one or more processors, the first term for entry into the index according to the set of parameters; and responsive to determining the converted first term is not present in the index, storing, by one or more processors, the first converted term into the index.

Abstract: A computer-implemented method, carried out by one or more processors, for consolidating an index entry of a dictionary. In an embodiment, the method comprises the steps of receiving, by one or more processors, a set of parameters, wherein the set of parameters indicates at least a length of prefix and a length of hash value; receiving, by one or more processors, a first term for entry into an index; converting, by one or more processors, the first term for entry into the index according to the set of parameters; and responsive to determining the converted first term is not present in the index, storing, by one or more processors, the first converted term into the index.

Abstract: A computer manages methods for determining accurate document transformation by rendering the source document into a non-rasterized format, where the non-rasterized format is a rendered source document. The computer rendering the target document into a non-rasterized format, where the non-rasterized format is a rendered target document. The computer comparing one or more aspects of the rendered source document to corresponding one or more aspects of the rendered target document. The computer determining, based, at least in part, on the compared one or more aspects, whether or not the source document was accurately transformed to the target document.

Abstract: A computer manages methods for determining accurate document transformation by rendering the source document into a non-rasterized format, where the non-rasterized format is a rendered source document. The computer rendering the target document into a non-rasterized format, where the non-rasterized format is a rendered target document. The computer comparing one or more aspects of the rendered source document to corresponding one or more aspects of the rendered target document. The computer determining, based, at least in part, on the compared one or more aspects, whether or not the source document was accurately transformed to the target document.

Abstract: According to one embodiment of the present invention, a system for accessing protected content includes a first computing device with at least one processor. The system determines one or more users associated with information required to access content of a protected document based on a set of rules. A request is generated and sent to at least one second computing device associated with the one or more determined users to retrieve and utilize the required information to access the content of the protected document. Embodiments of the present invention further include a method and computer program product for accessing protected content in substantially the same manner described above.

Abstract: According to one embodiment of the present invention, a system for accessing protected content includes a first computing device with at least one processor. The system determines one or more users associated with information required to access content of a protected document based on a set of rules. A request is generated and sent to at least one second computing device associated with the one or more determined users to retrieve and utilize the required information to access the content of the protected document. Embodiments of the present invention further include a method and computer program product for accessing protected content in substantially the same manner described above.