Abstract: A method, system, and computer program product for event detection using roles and relationships of entities are provided in the illustrative embodiments. A training event and a set of entities participating in the training event are identified in a training data. For a first entity in the set of entities, a first role occupied by the entity in the event is determined. A behavior attribute is assigned to the first role. A relationship of the first role with a second role corresponding to a second entity in the set of entities is determined. An event rule is constructed to detect an event corresponding to the training event in new data and comprising a plurality of roles, behavior attributes, and the relationship. The plurality of roles includes the first role and the second role, and the plurality of behavior attributes includes the behavior attribute assigned to the first role.

Abstract: An approach is provided to identify important paths in a biological relationship graph for exploration by researchers. In the approach, a biological meaningfulness analysis is performed on the biological relationship graph that has a number of paths through the graph formed by a number of connected nodes. The biological meaningfulness analysis is based on a process similarity calculation of gene ontologies of the nodes in the paths and a contextual similarity calculation of word occurrences from documents in a corpus where a reference to the respective nodes are found. A biological interestingness analysis is also performed on the biological relationship graph. The paths are screened based on the meaningfulness analysis and the interestingness analysis. The screened data is displayed to the user.

Abstract: Provided are a method, computer program product, and system for processing a data management request. User intent that defines properties of target data is determined. Policies and constraints for the data management request are determined. An abstract data management request that identifies source data, the target data, and the polices and constraints is created. A technology to use to process the data management request based on the user intent, policies, and constraints is determined.

Abstract: A method, system, and computer program product for event detection using roles and relationships of entities are provided in the illustrative embodiments. A training event and a set of entities participating in the training event are identified in a training data. For a first entity in the set of entities, a first role occupied by the entity in the event is determined. A behavior attribute is assigned to the first role. A relationship of the first role with a second role corresponding to a second entity in the set of entities is determined. An event rule is constructed to detect an event corresponding to the training event in new data and comprising a plurality of roles, behavior attributes, and the relationship. The plurality of roles includes the first role and the second role, and the plurality of behavior attributes includes the behavior attribute assigned to the first role.

Abstract: Provided are a method, computer program product, and system for processing a data management request. User intent that defines properties of target data is determined. Policies and constraints for the data management request are determined. An abstract data management request that identifies source data, the target data, and the polices and constraints is created. A technology to use to process the data management request based on the user intent, policies, and constraints is determined.

Abstract: Provided are a method, computer program product, and system for processing a data management request. User intent that defines properties of target data is determined. Policies and constraints for the data management request are determined. An abstract data management request that identifies source data, the target data, and the polices and constraints is created. A technology to use to process the data management request based on the user intent, policies, and constraints is determined.

Abstract: Systems, methods, and computer products that efficiently share and move data between different types of data storage formats. More particularly, the preferred embodiment of the present invention provides an easy to use graphical user interface (GUI) for displaying, navigating, and selecting hierarchical database segments and fields. The preferred embodiment of the present invention novelly uses a hierarchical tree structure that clearly represents the structures of a database and their mutual exclusivity, for easy understanding of and navigation through the various database structures. The user is prevented from selecting segments and fields that are not valid for the selected path thereby ensuring accuracy in the representation of the database data structures. Also, the user may select a path from the top of the hierarchical tree, the root, to a specific segment or field.

Abstract: Systems, methods, and computer products that efficiently share and move data between different types of data storage formats. More particularly, the preferred embodiment of the present invention provides an easy to use graphical user interface (GUI) for displaying, navigating, and selecting hierarchical database segments and fields. The preferred embodiment of the present invention novelly uses a hierarchical tree structure that clearly represents the structures of a database and their mutual exclusivity, for easy understanding of and navigation through the various database structures. The user is prevented from selecting segments and fields that are not valid for the selected path thereby ensuring accuracy in the representation of the database data structures. Also, the user may select a path from the top of the hierarchical tree, the root, to a specific segment or field.

Abstract: An extension of an information cataloging metadata model allows metadata users to link objects in a linear or peer-to-peer relationship (not hierarchical). Additional elements include adding a metadata functional category whoes object instances logically attach to other metadata objects in an information catalog (or information directory). Finally, the information cataloging metadata model is extended to enable metadata users to launch applications which can use values from any metadata object type as parameters to applications.