Abstract: The present invention relates to data cleansing, and in particular performing the semantic standardization process within a database before the transform portion of the extract-transform-load (ETL) process. Provided are a method, system and computer program product for standardizing data within a database engine, configuring the standardization function to determine at least one standardized value for at least one data value by applying the standardization table in a context of at least one data value, receiving a database query identifying the standardization function, at least one database value and the context of the data, and invoking the standardization function.

Abstract: The present invention relates to data cleansing, and in particular performing the semantic standardization process within a database before the transform portion of the extract-transform-load (ETL) process. Provided are a method, system and computer program product for standardizing data within a database engine, configuring the standardization function to determine at least one standardized value for at least one data value by applying the standardization table in a context of at least one data value, receiving a database query identifying the standardization function, at least one database value and the context of the data, and invoking the standardization function.

Abstract: Techniques are described for refining the manual classification of assets classified or categorized using the terms of a business glossary. A semantic refinement mechanism is used to refine the manual classification of such assets, as well as subsequently evaluate the refined asset classifications. Further, the refined asset classifications may be used as a training set for a machine learning classifier. That is, should the classification of an asset contributing to a refinement change, the refinement based on that classification may be undone, at least in some cases.

Abstract: A method, computer program product and system for managing tenant-specific data sets in a multi-tenant system, by receiving a request to convert a data set in a physical data store from a first type of multi-tenant deployment to a second type of multi-tenant deployment, retrieving tenant identification metadata identifying a tenant making the request, modifying the data set in the physical data store based on the second type of multi-tenant deployment, and modifying metadata associated with an abstraction layer to allow the modified data set to be accessed.

Abstract: Techniques are described for refining the manual classification of assets classified or categorized using the terms of a business glossary. A semantic refinement mechanism is used to refine the manual classification of such assets, as well as subsequently evaluate the refined asset classifications. Further, the refined asset classifications may be used as a training set for a machine learning classifier. That is, should the classification of an asset contributing to a refinement change, the refinement based on that classification may be undone, at least in some cases.

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: 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: 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 method, system and computer-usable medium are disclosed for controlling the distribution of data. Data stored in a datastore is filtered according to a data release policy to generate filtered data. A data release policy agreement, corresponding to the data release policy, is generated. The filtered data and the data release policy agreement are then provided to an information consumer. The data release policy agreement is then used to enforce the data release policy.

Abstract: A method, system and computer-usable medium are disclosed for controlling the distribution of data. Data stored in a datastore is filtered according to a data release policy to generate filtered data. A data release policy agreement, corresponding to the data release policy, is generated. The filtered data and the data release policy agreement are then provided to an information consumer. The data release policy agreement is then used to enforce the data release policy.

Abstract: A centralized method for defining and enforcing strong-typing among domains in RDBMS or ORDBMS is provided to allow flexible, easy, and quick domain creation, as well as facilitating easy implementation and change control on domains. When an application requests data from the database, one or more domains are first identified in the SQL query. A determination is then made as to whether operators for each domain pair in the SQL query are authorized. A determination is also made as to whether functions in the SQL authorized. If the operators and functions in the SQL are authorized, the initial SQL request is rewritten to include a casting formula for each domain pair operation. The rewritten SQL request is then executed.

Abstract: Aspects for integrating messaging functionality into database operations are described. The aspects include providing one or more chosen functions from a messaging system in a database system. The one or more chosen functions from the database system are then utilized within structured query language statements to access the messaging system from the database system.

Abstract: A computer operated controller for controlling and/or monitoring a physical object and a logical abstraction related to the physical object is disclosed. The controller comprises a physical object entity representing the physical object. The physical object entity includes storage for physical-object-specific data and a script describing the behavior of the physical object. The controller further comprises a logical abstraction entity representing the logical abstraction. The logical abstraction entity further includes storage for logical-abstraction-specific data and a script describing the behavior of the logical abstraction.