Abstract: In an approach for providing data privacy in information integration systems, a method performed during compilation of an information integration job receives information regarding a data flow structure of the job to be executed, said data flow structure comprising at least one source system, one or more target entities, and at least one operator for modifying output data provided by the source system. The method determines data exit points at which output data are provided to the target entities and determines at least one non-trusted target entity. The method determines, for each non-trusted target entity, if at least one data field included in the output data provided to the non-trusted target entity is classified as sensitive information, and, if so, modifies the information integration job by including a masking operator directly before a data exit point associated with the non-trusted target entity in order to mask said sensitive information.

Abstract: Embodiments of the present invention provide a method, system and computer program product for automated social networking for e-meetings. In an embodiment of the invention, a method for automated social networking for e-meetings is provided. The method includes monitoring content provided to an e-meeting managed by an e-meeting server executing in memory of a host computer. The method further includes detecting a name in the monitored content and comparing the detected name to names in a contact list for a social networking system executing externally to the e-meeting. Finally, the method includes triggering generation of a social networking introduction for the name to different participants to the e-meeting in response to matching the detected name to a name in the contact list.

Abstract: Provided are to a computer program product, system, and method for determining linkage metadata of content of a target document to source documents.

Abstract: Provided are techniques for secure matching supporting fuzzy data. A first bloom filter for a first data element is retrieved, wherein each of the characters in the data element has been encrypted with a beginning offset position of the character and encrypted with an end offset position of the character to produce two encrypted values that are added to the first bloom filter. A second bloom filter for a second data element is retrieved. The first bloom filter and the second bloom filter are compared to determine whether there is a match between the first data element and the second data element.

Abstract: Provided are techniques for secure matching supporting fuzzy data. A first bloom filter for a first data element is retrieved, wherein each of the characters in the data element has been encrypted with a beginning offset position of the character and encrypted with an end offset position of the character to produce two encrypted values that are added to the first bloom filter. A second bloom filter for a second data element is retrieved. The first bloom filter and the second bloom filter are compared to determine whether there is a match between the first data element and the second data element.

Abstract: Embodiments of the invention provide an approach for creating, evolving and using a weighted semantic graph to manage and potentially identify certain information assets within an enterprise. The semantic graph may be generated by monitoring users navigating through search results which provide a set of information assets responsive to a search query. By recording the navigation path taken by many users, relationships between information assets may be identified. Further, once generated, the semantic graph may be used to present users with in indication of related information assets as part of the search results. Further still, the semantic graph may also be used to identify information assert “hubs” as well as information assets that may provide low utility to individuals within the enterprise.

Abstract: Embodiments of the invention provide an approach for creating, evolving and using a weighted semantic graph to manage and potentially identify certain information assets within an enterprise. The semantic graph may be generated by monitoring users navigating through search results which provide a set of information assets responsive to a search query. By recording the navigation path taken by many users, relationships between information assets may be identified. Further, once generated, the semantic graph may be used to present users with in indication of related information assets as part of the search results. Further still, the semantic graph may also be used to identify information assert “hubs” as well as information assets that may provide low utility to individuals within the enterprise.

Abstract: A user interface is generated that displays a set of selectable terms from a glossary of business terms and is configured to generate a business metadata query that identifies a forum with member profiles. A data movement executable is generated that identifies the forum and an analytical processing environment. The data movement executable is deployed and data is moved from the forum into the analytical processing environment. Analytics are performed on the data from the forum. Metadata is identified from the analytics. The glossary of business terms is updated using the metadata from the analytics.

Abstract: A computer implemented method for classifying at least one source dataset of a computer system. The method may include providing a plurality of associated reference tables organized and associated in accordance with a reference storage model in the computer system. The method may also include calculating, by a data classifier application of the computer system, a first similarity score between the source dataset and a first reference table of the reference tables based on common attributes in the source dataset and a join of the first reference table with at least one further reference table of the reference tables having a relationship with the first reference table. The method may further include classifying, by the data classifier application, the source dataset by determining using at least the calculated first similarity score whether the source dataset is organized as the first reference table in accordance to the reference storage model.

Abstract: Embodiments of the present invention provide a method, system and computer program product for automated social networking for e-meetings. In an embodiment of the invention, a method for automated social networking for e-meetings is provided. The method includes monitoring content provided to an e-meeting managed by an e-meeting server executing in memory of a host computer. The method further includes detecting a name in the monitored content and comparing the detected name to names in a contact list for a social networking system executing externally to the e-meeting. Finally, the method includes triggering generation of a social networking introduction for the name to different participants to the e-meeting in response to matching the detected name to a name in the contact list.

Abstract: Provided are to a computer program product, system, and method for determining linkage metadata of content of a target document to source documents. In response to a determination that a target fragment in a target document matches a source fragment in a source document, linkage metadata is generated for the target fragment.

Abstract: Provided are techniques for deleting sensitive information in a database. One or more objects in a database that are accessed by a statement are identified. It is determined that at least one object among the identified one or more objects contains sensitive information by checking an indicator for the at least one object. One or more security policies associated with the at least one object are identified. The identified one or more security policies are implemented for the at least one object to delete sensitive information.

Abstract: Provided are techniques for deleting sensitive information in a database. One or more objects in a database that are accessed by a statement are identified. It is determined that at least one object among the identified one or more objects contains sensitive information by checking an indicator for the at least one object. One or more security policies associated with the at least one object are identified. The identified one or more security policies are implemented for the at least one object to delete sensitive information.

Abstract: A system transfers data between source systems and a target system. The system determines a domain score for data domains of source data from the source systems based on data quality metrics for the target system. The domain score indicates data quality with respect to the target system. Corresponding processes of the target system are identified for the data domains, and a process score is determined for the identified processes based on a corresponding domain score. The process score indicates data quality with respect to the identified processes. The system cleanses the source data based on the domain score and/or process score, and validates the cleansed source data against the target system for transference. Embodiments of the present invention further include a method and computer program product for transferring data between source systems and a target system in substantially the same manner described above.

Abstract: The invention relates to a computer implemented method for creating a backup of data by a computer system. The creation of the backup comprises: assigning a first memory space in a main memory to data and loading the data into the first memory space; allocating a second memory space in the main memory for acting as container of one or more images of the data in the first memory space; creating the one or more images of the data in the first memory space; and storing the created one or more images in the second memory space and storing a respective copy of at least one of the one or more images in the one or more non-volatile storage media.

Abstract: The invention relates to a computer implemented method for creating a backup of data by a computer system. The creation of the backup comprises: assigning a first memory space in a main memory to data and loading the data into the first memory space; allocating a second memory space in the main memory for acting as container of one or more images of the data in the first memory space; creating the one or more images of the data in the first memory space; and storing the created one or more images in the second memory space and storing a respective copy of at least one of the one or more images in the one or more non-volatile storage media.

Abstract: A computer implemented method, computer program product and system for data quality monitoring includes measuring a data quality of loaded data relative to a predefined data quality metric. The measuring the data quality includes identifying delta changes in at least one of the loaded data and the data quality rules relative to a previous measurement of the data quality of the loaded data. Logical calculus defined in the data quality rules is applied to the identified delta changes.

Abstract: Ontologies are used to comprehend regular expressions, by selecting, based on a context relating to a domain of a regular expression, an ontology and an assertion base, parsing the regular expression to identify at least one fragment of the regular expression, identifying one or more assertions in the assertion base corresponding to one of the identified fragments, identifying, for each identified assertion, an associated node in the ontology, and returning, based on the associated nodes, a concept in the ontology as representing the associated fragment of the regular expression.

Abstract: Ontologies are used to comprehend regular expressions, by selecting, based on a context relating to a domain of a regular expression, an ontology and an assertion base, parsing the regular expression to identify at least one fragment of the regular expression, identifying one or more assertions in the assertion base corresponding to one of the identified fragments, identifying, for each identified assertion, an associated node in the ontology, and returning, based on the associated nodes, a concept in the ontology as representing the associated fragment of the regular expression.

Abstract: A computer implemented method, computer program product and system for data quality monitoring includes measuring a data quality of loaded data relative to a predefined data quality metric. The measuring the data quality includes identifying delta changes in at least one of the loaded data and the data quality rules relative to a previous measurement of the data quality of the loaded data. Logical calculus defined in the data quality rules is applied to the identified delta changes.