Abstract: An insight comprising a fact about a portion of data in a dataset is detected in the dataset. A context is determined by analyzing a natural language input, the context identifying an intent and an entity referenced by the natural language input. A relevance score is computed for the insight, the relevance score comprising a measure of similarity between a vector representation of the insight and a vector representation of the context, the vector representation of the insight comprising an encoding of the insight in multidimensional numerical form, the vector representation of the context comprising an encoding of the context in multidimensional numerical form. A selected insight is presented, the selected insight selected from a set of insights including the insight, the selected insight selected based on the relevance score.

Abstract: A computer-implemented method according to one embodiment includes receiving a plurality of linguistic expressions (LEs); changing one or more conditions of the plurality of linguistic expressions to create an updated plurality of linguistic expressions, utilizing a visual exploration framework (VEF) that visually presents to a user each of the plurality of linguistic expressions; and including the updated plurality of linguistic expressions in a model used to classify input sentences. According to another embodiment, a computer-implemented method includes receiving (i) a set of linguistic expressions (LEs) and (ii) a set of labeled data as input, where the LEs are logical combinations of predicates learned from the labeled data, and each data point in the labeled data comprises a piece of text and ground-truth labels; presenting the LEs in a visual exploration framework; and allowing a user to sort, filter, subset, and select LEs based on different criteria, utilizing the framework.

Abstract: Methods, systems, and computer program products for generating semi-automated visual analytics solutions are provided herein. A computer-implemented method includes automatically transforming a first version of specifications for visualization of a data analysis task being performed by a user into one or more subsequent versions of the specifications, wherein the transforming is based on data analysis visualization design guidelines; outputting at least one of the subsequent versions of the specifications to the user; processing user inputs, in response to the at least one outputted subsequent version of the specifications; automatically transforming the at least one outputted subsequent version of the specifications into one or more additional versions of the specifications based on the processing of the user inputs; and iteratively outputting the additional versions of the specifications until an indication of user satisfaction is obtained.

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: receiving at least one heterogeneous system log from each of a plurality of systems, wherein each of the heterogeneous system logs comprises events corresponding to activities occurring within its corresponding system; for each of the plurality of systems, analyzing the events contained within its at least one heterogeneous system log to identify a plurality of entities, wherein each of the entities is associated with at least one of the activities; identifying relationships, across the plurality of systems, between entities within the plurality of entities; and linking (i) the entities having an identified relationship and (ii) the activities of those entities. Other aspects are described and claimed.

Abstract: A method to support ad hoc collaboration and generation of workflows for a team of users may comprise providing data from a provenance graph to launched applications, selectively using the provided data from the provenance graph and additional input to create derived data and derived outputs, and routing the derived data and the derived outputs to the provenance graph; recording, in the provenance graph, subsequences of the launched applications; recommending one of the recorded subsequences, based on the history of execution of the recorded subsequences of the launched applications; creating a new application with the recommended subsequences of the launched applications; launching the newly created application, and storing the newly created application in a catalog of applications for use by the user.

Abstract: An embodiment of the invention may include a method, computer program product, and system for unified data governance. The embodiment may include populating a context graph with to-be-governed data, by a machine learning framework in communication with a suite of enterprise application servers via one or more connector components. The to-be-governed data is retrieved from the suite of enterprise application servers. The embodiment may include training a plurality of machine learning models using the context graph and the to-be-governed-data based on user-defined parameters. The embodiment may include persisting properties of the plurality of machine learning models back to the context graph.

Abstract: Methods and arrangements for managing development of information extraction rules. One or more documents are opened for extraction. An interface is provided to create a label and thereupon label a portion of the document. The created label is stored, and an extractor is developed based on the labeling. A test interface is provided for the extractor, and results of a test conducted through the test interface are displayed. The extractor is exported. In accordance with at least one embodiment, developers are presented with eased automated guidance to write extractors, which thereby reduces an overall manual effort involved in extractor development. Generally, a focused, tutorial-type environment serves as a guide based on previously developed best practices.

Abstract: Embodiments of the invention relate to detecting and describing visible features of a data set. A cluster in a data space is detected. A characteristic associated with the cluster is identified by analysis of the cluster based on geometrical attributes. The analysis includes identification of a shape of the cluster. The identified characteristic is converted into a characterization of the cluster. A visualization is produced based on the characterization.

Abstract: Methods, systems, and computer program products for generating semi-automated visual analytics solutions are provided herein. A computer-implemented method includes automatically transforming a first version of specifications for visualization of a data analysis task being performed by a user into one or more subsequent versions of the specifications, wherein the transforming is based on data analysis visualization design guidelines; outputting at least one of the subsequent versions of the specifications to the user; processing user inputs, in response to the at least one outputted subsequent version of the specifications; automatically transforming the at least one outputted subsequent version of the specifications into one or more additional versions of the specifications based on the processing of the user inputs; and iteratively outputting the additional versions of the specifications until an indication of user satisfaction is obtained.

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: receiving at least one heterogeneous system log from each of a plurality of systems, wherein each of the heterogeneous system logs comprises events corresponding to activities occurring within its corresponding system; for each of the plurality of systems, analyzing the events contained within its at least one heterogeneous system log to identify a plurality of entities, wherein each of the entities is associated with at least one of the activities; identifying relationships, across the plurality of systems, between entities within the plurality of entities; and linking (i) the entities having an identified relationship and (ii) the activities of those entities. Other aspects are described and claimed.

Abstract: According to an embodiment of the present invention, a method for operating a cognitive computing system comprises starting a capture agent on a processor, subscribing the capture agent to a second agent, receiving a first message from the second agent, storing the received first message in a memory, receiving a notification of a new subscription from a third agent, and registering the capture agent to subscribe to the new subscription from the third agent.

Abstract: A method to support ad hoc collaboration and generation of workflows for a team of users may comprise providing data from a provenance graph to launched applications, selectively using the provided data from the provenance graph and additional input to create derived data and derived outputs, and routing the derived data and the derived outputs to the provenance graph; recording, in the provenance graph, subsequences of the launched applications; recommending one of the recorded subsequences, based on the history of execution of the recorded subsequences of the launched applications; creating a new application with the recommended subsequences of the launched applications; launching the newly created application, and storing the newly created application in a catalog of applications for use by the user.

Abstract: According to an embodiment of the present invention, a method for operating a cognitive computing system comprises starting a capture agent on a processor, subscribing the capture agent to a second agent, receiving a first message from the second agent, storing the received first message in a memory, receiving a notification of a new subscription from a third agent, and registering the capture agent to subscribe to the new subscription from the third agent.

Abstract: The mapping system and method comprises receiving a query identifying a source entity, the source entity being of a first entity-type; generating a plurality of candidate entities from an analysis of an entity-relationship graph in response to the query based on the source entity; and computing feature values for each candidate entity of the plurality of candidate entities by passing the source entity and the plurality of candidate entities to a type-specific entity recommender particular to the first entity-type.

Abstract: Embodiments relate to interacting with a collection of user opinion documents associated with a topic. One aspect includes obtaining opinion data for the collection of opinion documents associated with the topic. The opinion data includes one or more features discussed in the opinion documents, one or more key phrases included in each feature, one or more text snippets included in each feature, and at least one sentiment expressed in each text snippet. A visual interface is provided in which a feature summary view of the opinion documents acts a top level of a navigational hierarchy. The visual interface allows user navigation from the top level to a lower level of the navigational hierarchy in order to display more details about a text snippet, as compared to the feature summary view, while continuing to provide the feature summary view.

Abstract: Methods and arrangements for managing development of information extraction rules. One or more documents are opened for extraction. An interface is provided to create a label and thereupon label a portion of the document. The created label is stored, and an extractor is developed based on the labeling. A test interface is provided for the extractor, and results of a test conducted through the test interface are displayed. The extractor is exported. In accordance with at least one embodiment, developers are presented with eased automated guidance to write extractors, which thereby reduces an overall manual effort involved in extractor development. Generally, a focused, tutorial-type environment serves as a guide based on previously developed best practices.

Abstract: Methods and arrangements for managing development of information extraction rules. One or more documents are opened for extraction. An interface is provided to create a label and thereupon label a portion of the document. The created label is stored, and an extractor is developed based on the labeling. A test interface is provided for the extractor, and results of a test conducted through the test interface are displayed. The extractor is exported. In accordance with at least one embodiment, developers are presented with eased automated guidance to write extractors, which thereby reduces an overall manual effort involved in extractor development. Generally, a focused, tutorial-type environment serves as a guide based on previously developed best practices.

Abstract: Embodiments of the invention relate to providing online product research. Data related to an activity performed by a consumer at a first electronic commerce website is collected. The collected data includes information about a first product, and the information about the first product is stored as product research data. The product research data is associated with the consumer. It is detected that the consumer is accessing a location in a second electronic commerce website that includes information about a second product. The product research data is searched for data related to the information about the second product. The information about the first product is located in response to searching the product research data for data related to the information about the second product, and the consumer is presented with the information about the first product along with the information about the second product.

Abstract: Embodiments of the invention relate to detecting and describing visible features of a data set. A cluster in a data space is detected. A characteristic associated with the cluster is identified by analysis of the cluster based on geometrical attributes. The analysis includes identification of a shape of the cluster. The identified characteristic is converted into a characterization of the cluster. A visualization is produced based on the characterization.

Abstract: Embodiments of the invention relate to detecting and describing visible features of a data set on a visualization. Visible features among a set of data in a view-space are detected. The visible features include potential data clusters and trends. These visual features are characterized using data-space. The characterized detected features are overlaid on visualization for supporting interaction and exploration of the data. Detected features are explored across two or more clusters for comparison of select data.