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 an indication of related information assets as part of the search results. Further still, the semantic graph may also be used to identify information assets “hubs” as well as information assets that may provide low utility to individuals within the enterprise.

Abstract: The program controls access to data objects stored on a tangible device of a computer system within an enterprise. A user request to access a data object identifies a user role by looking up the user identification in an enterprise directory. The program determines whether the role of the user is permitted access to a system and also determines a risk score representing a risk of dissemination of the requested data object. The program compares the risk score of the requested data object to a pre-configured threshold value of the requested data object and controls access to the requested data object, based on the role of the user, and the risk score associated with the risk of disseminating the requested data object.

Abstract: A method for presenting search query results is provided. The method may include detecting an occurrence of the trigger event. The method may include determining a category of information based on data associated with the trigger event. The method may include identifying at least one constraint based on the determined category of information. The method may include appending to the identified at least one constraint to the determined category of information. The method may include generating at least one search query. The method may include selecting at least one candidate website based on the category of information. The method may include performing the at least one search query on the at least one candidate website. The method may include filtering each search query result within the search query results. The method may include sending each filtered search query result within the search query results to a user.

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: Embodiments provide a system and method for integrating a cognitive system into a call center. The system and method include ingesting, in real-time through an instant messaging application, one or more questions from one or more call center agents; ingesting, in real-time through the instant messaging application, one or more answers associated with the one or more questions; storing one or more question and answer pairs in a corpus; analyzing, through a cognitive system, the corpus of the one or more question and answer pairs; receiving, through the instant messaging system, one or more additional questions; determining a proposed answer to each additional question based on the analysis of the corpus; analyzing, through the cognitive system, the proposed answer; and incorporating the analysis of the proposed answer into the analysis of the one or more question and answer pairs. The answers can be provided by subject matter experts or call center managers.

Abstract: Embodiments provide a system and method for integrating a cognitive system into a call center.

Abstract: A method for presenting search query results is provided. The method may include detecting an occurrence of the trigger event. The method may include determining a category of information based on data associated with the trigger event. The method may include identifying at least one constraint based on the determined category of information. The method may include appending to the identified at least one constraint to the determined category of information. The method may include generating at least one search query. The method may include selecting at least one candidate website based on the category of information. The method may include performing the at least one search query on the at least one candidate website. The method may include filtering each search query result within the search query results. The method may include sending each filtered search query result within the search query results to a user.

Abstract: In a method for determining appropriate runtime environments for execution of a process model, a computer receives a process model. The process model includes a plurality of activities, wherein two activities are linked by a relationship. The computer determines that the two activities linked by a relationship match a process pattern. The computer determines one or more runtime environments for execution of the process model, wherein each of the one or more runtime environments is capable of executing the process pattern.

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: 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: An in-memory application has a state is associated with data (CA0, CB0, CC0) stored in a memory and accessed by the application. A first restore point of the application is determined to represent a first time point (T0) in the execution time associated with a first state at which the application accesses the data being stored in memory locations (CA0) using first addresses (S1) and first pointers (A0) which are stored in a first data structure. A first restore point identifier is assigned to the first restore point, whose value is indicative of (T0). The first restore point identifier is stored in association with (A0) and (S1) in a first entry of a second data structure. In the first data structure, the first addresses (S1) are associated to second pointers (A1) to contents of memory locations (CA1) in the memory, and redirecting writing operations.

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: The program controls access to data objects stored on a tangible device of a computer system within an enterprise. A user request to access a data object identifies a user role by looking up the user identification in an enterprise directory. The program determines whether the role of the user is permitted access to a system and also determines a risk score representing a risk of dissemination of the requested data object. The program compares the risk score of the requested data object to a pre-configured threshold value of the requested data object and controls access to the requested data object, based on the role of the user, and the risk score associated with the risk of disseminating the requested data object.

Abstract: During migration of data from at least one data source to a target system, data quality is determined by obtaining metadata associated with the target system, automatically generating instantiated rules for assessing a quality of data to be loaded from the at least one data source into the target system, where the instantiated rules are dependent upon the obtained metadata associated with the target system, and applying a quality analysis based upon the instantiated rules to the data to be loaded into the target system. The quality analysis provides an indication of a level of compliance of the data with requirements of the target system.

Abstract: Embodiments provide a system and method for integrating a cognitive system into a call center. The system and method include ingesting, in real-time through an instant messaging application, one or more questions from one or more call center agents; ingesting, in real-time through the instant messaging application, one or more answers associated with the one or more questions; storing one or more question and answer pairs in a corpus; analyzing, through a cognitive system, the corpus of the one or more question and answer pairs; receiving, through the instant messaging system, one or more additional questions; determining a proposed answer to each additional question based on the analysis of the corpus; analyzing, through the cognitive system, the proposed answer; and incorporating the analysis of the proposed answer into the analysis of the one or more question and answer pairs. The answers can be provided by subject matter experts or call center managers.

Abstract: An ontology is automatically generated for a set of data from multiple data sources. A semantic network of known concepts serves as an ontology template for a target domain of knowledge with known concepts defined as base entity types. Logical groupings of data and associated technical metadata are read from the data sources. Data discovery techniques are applied to detect semantic and/or syntactic classification of data attributes in the logical groupings of data. For each of the logical groupings of data, an entity type with properties for the data attributes are generated and the generated entity type is added to the semantic network with classifications of the properties as derived from the applied data discovery techniques. Semantic meanings of the generated entity types are generated and associated with other entity types within the semantic network and the semantic network is output as a resultant ontology for the set of data.

Abstract: An improved method provides fault handling in a distributed IT environment. The distributed IT environment executes a workflow application interacting with at least one application by using interface information about the at least one application. In response to receiving a first instance of a fault response, a fault handler performing a first lookup of a fault handling policy corresponding to the fault response within a fault handling descriptions catalogue. The fault handler loads a first one or more fault handling descriptions that are pointed to by the fault handling policy in order to continue execution of the workflow application. After a second instance of the fault response, the fault handler performs a second lookup of the fault handling policy which now points to a second one or more fault handling descriptions which are loaded in order to continue execution of the workflow application.

Abstract: Embodiments relate to accessing a set of data tables in a source database. A set of table categories is provided for tables in the source database and a set of metrics is provided. For each table of the set of the data tables: the set of metrics is evaluated, the evaluated set of metrics is analyzed, and the table is categorized into one of the set of table categories using the result of the analysis. Information indicative of the table category of each table of the set of tables is output, and in response, a request to select data tables of the set of data tables is received according to a part of the table categories for data processing. A subset of data tables of the set of data tables is selected using the table categories for performing the data processing on the subset of data tables.

Abstract: At least one user table in a relational database management system (RDBMS) using a first operator within a structured query language (SQL) command is identified. The first operator within the SQL command is utilized to transfer one or more data items from the at least one user table to a data array within the RDBMS. The data array is processed within the RDBMS, and one or more output values are generated based on the processing.

Abstract: Embodiments of the present invention provide a method, system and computer program product for authorship accountability in a blog search engine. In an embodiment of the invention, a method for authorship accountability in a blog search engine is provided. The method includes receiving a search engine query specifying both query terms to query blog content and also authorship criteria for authors of blog content in respective entries of a results set returned by the search engine query. The method additionally includes evaluating the authorship criteria for each author of corresponding blog content returned by the search engine query and computing a relevance for each entry in the results set based upon the evaluated authorship criteria. Finally, the method includes presenting in order of relevance a listing of blog content corresponding to the results set.