Abstract: A mechanism is provided to review and verify provenance of analytic execution by a contract analytic binding and provenance system. The mechanism is activated to execute a set of analytics for a contract and verifies outcomes of the analytics before writing them to a blockchain network. The mechanism evaluates the provenance data records stored on peer ledgers and establishes transparency of the outcomes by validating consensus between characteristics of the provenance data.

Abstract: A mechanism is provided to orchestrates entitled execution of a set of analytics. The mechanism retrieves an analytic entry from an immutable data record source and identifies an analytic associated with the analytic entry, and an associated dataset. The analytic and the dataset are encrypted using an owner's key. The mechanism decrypts the analytic using a decryption key and executes the analytic based on the decrypting.

Abstract: A processor may receive data regarding a context for a first dialog turn. The processor may monitor a voice input from a user for the first dialog turn. The processor may detect a first pause in the voice input, the first pause having a duration that satisfies a time threshold. The processor may receive, based on the first pause, first voice input data. The processor may analyze the first voice input data. The processor may determine that additional time is recommended for the voice input to be provided by the user.

Abstract: An approach is disclosed that enforces restrictions to data in a filesystem based on metadata for a file including a name for an attribute, a type, and a location in the file for the type. A file specific metadata includes an owner, contact information, access rights including an owner consent-based access policy, users of the system who can access the file and the type of access allowed by the users based on a purpose for the access. The operating system (OS) enforces an access to attribute entries of the file based on the purpose and selected metadata in the associated metadata. The restrictions for file access are driven by the file structure metadata which identifies types of information, where in the file each type of information is located, and consent information which specifies what type of information is accessible to a requestor retrieving data for a specific purpose.

Abstract: Software that performs the following operations: (i) receiving descriptive information associated with a domain expert; (ii) receiving a question and a corresponding candidate answer for the question; (iii) determining a set of scoring features to be used to evaluate the candidate answer, wherein the set of scoring features includes: at least one scoring feature pertaining to the question, at least one scoring feature pertaining to the candidate answer, and at least one scoring feature pertaining to the descriptive information; (iv) receiving a score from the domain expert, wherein the score is based, at least in part, on the domain expert's evaluation of the candidate answer; (v) generating a feature vector based on the set of scoring features; (vi) cross-correlating the feature vector with the score; and (vii) clustering the domain expert with one or more other domain experts according to the cross-correlation, thereby creating a first cluster.

Abstract: Cognitive medical treatment recommendation mechanisms are provided. The mechanisms ingest a corpus of medical treatment content that comprises drug-to-drug interaction information. The mechanisms generate a set of drug interaction insight data structures and an initial set of candidate treatments for a medical condition of a patient based on an analysis of an electronic medical record associated with the patient. The mechanisms rank candidate treatments in the initial set of candidate treatments based on the set of drug interaction insight data structures to generate a final set of candidate treatments, where the ranking reduces rankings of candidate treatments in which drug interactions are identified in the set of drug interaction insight data structures. The mechanisms output a treatment recommendation based on the final set of candidate treatments.

Abstract: Provided are a computer program product, system, and method for classifying text to determine a goal type used to select machine learning algorithm outcomes. Natural language processing of text is performed to determine features in the text and their relationships. A classifier classifies the text based on the relationships and features to determine a goal type. The determined features and relationships from the text are inputted into a plurality of different machine learning algorithms to generate outcomes. For each of the machine learning algorithms, a determination is made of performance measurements resulting from the machine learning algorithms generating the outcomes. A determination is made of at least one machine learning algorithm having performance measurements that are highly correlated to the determined goal type. An outcome is determined from at least one of the outcomes.

Abstract: Provided are a computer program product, system, and method for classifying text to determine a goal type used to select machine learning algorithm outcomes. Natural language processing of text is performed to determine features in the text and their relationships. A classifier classifies the text based on the relationships and features to determine a goal type. The determined features and relationships from the text are inputted into a plurality of different machine learning algorithms to generate outcomes. For each of the machine learning algorithms, a determination is made of performance measurements resulting from the machine learning algorithms generating the outcomes. A determination is made of at least one machine learning algorithm having performance measurements that are highly correlated to the determined goal type. An outcome is determined from at least one of the outcomes.

Abstract: A method, system, and computer program product for using a natural language processor is disclosed. Included are importing highlighted and non-highlighted training text each including training nodes, one-hot encoding the training text, training a projection model using the training text, processing the highlighted training text using the projection model, and training a classifier model using the highlighted processed training text. Also included are importing new text including new nodes, one-hot encoding the new text, processing the new text using the projection model, and determining, using the classifier model, whether one of the new nodes is in a sought-after class.

Abstract: A mechanism is provided to implement a contract analytic binding and provenance system. The mechanism loads contract rules for an agreement between a plurality of contract parties and creates an analytic entry per rule to form a set of analytic entries, Each analytic entry is associated with an executable analytic function. The mechanism assigns each analytic entry a directed acyclic graph vertex. The mechanism confirms alignment between the contract rules and the set of analytic entries and stores the set of analytic entries in peer ledgers associated with the plurality of contract parties. The mechanism activates the set of analytic entries responsive to confirming provenance of the peer ledgers associated with the plurality of contract parties.

Abstract: Techniques for content augmentation and assist are provided. A textual conversation between a first user and a plurality of recipients is analyzed to determine a first intent of the first user. A set of relationships is determined between the first user and the plurality of recipients, and a set of historical intents corresponding to each of the plurality of recipients is evaluated to identify similar intents to the first intent. A plurality of predefined messages is identified based on one or more similar intents that overlap between two or more of the plurality of recipients. A first predefined message is selected, from the plurality of predefined messages, based on the first intent and the determined set of relationships, and suggested content is provided based on the first predefined message.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system for providing a secure device relay between a data collection device and a server using a smart device. The present invention comprises transmitting to a server a unique identifier corresponding to a data collection device and a digital signature corresponding to a smart device. In addition, the present invention provides for receiving from the server a key pair and an exchange configuration defining access control to data stored on the data collection device. Moreover, the present invention includes transmitting to the data collection device a public key of the received key pair and the exchange configuration.

Abstract: According to one embodiment, a method, computer system, and computer program product for managing medical events affecting a driver or passenger of a vehicle is provided. The present invention may include detecting, based on sensor data, a medical event affecting a driver of the vehicle; confirming, with a secondary decision maker, the medical event and one or more environmental changes to an internal environment of the vehicle based on the detected medical event; and executing the one or more environmental changes.

Abstract: Mechanisms are provided for generating an answer to an input question. The mechanisms process a received input question to identify a temporal categorization of the input question indicating an intended time context for an answer to the input question. The input question does not specify a temporal categorization of the input question. The mechanisms perform analysis of a corpus of information based on the temporal categorization of the input question and temporal categorizations of sources of information in the corpus of information to determine, for each source of information, a degree of correspondence of the temporal categorization of the input question to a temporal categorization of the source of information. An answer to the input question is generated and output based on the degrees of correspondence of the sources of information.

Abstract: Provided are techniques for OCR induction for multi-page changes. A plurality of documents of a document type are processed to generate text area data for a text area in one or more documents of the plurality of documents, where the text area data includes coordinate locations of a zone for the text area based on expansion and direction of shift of the text area. A page flow model is trained using the plurality of documents and the text area data. In response to receiving a new document comprising the text area, a scanning script is received from the page flow model, where the page flow model identifies a new zone for the text area in the new document and determines how to adjust another zone for an element in the new document. The scanning script is used to scan the new document to generate digital text.

Abstract: In one general embodiment, a computer program product for altering input search terms comprises a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, and where the program instructions are executable by a processor to cause the processor to perform a method comprising identifying an input search term, utilizing the processor, determining, utilizing the processor, an additional term associated with the input search term, where the additional term targets a predetermined entity, altering, utilizing the processor, the input search term utilizing the determined additional term, and performing, utilizing the processor, a search, utilizing the altered input search term.

Abstract: An approach is disclosed that enforces a privacy legal framework filesystem along with an operating system (OS) to enforce the privacy legal framework. An access of a datum in a selected file in the filesystem includes accessing a metadata associated with the selected file where the metadata includes a privacy state and an owner consent-based access policy. The owner consent-based access policy is enforced by the OS via special-purpose support requiring usage of the metadata to access the selected file.

Abstract: An approach is disclosed for placing data on volumes. Accesses to data entries at a source location are analyzed to determine locations of the data entries in one or more files. Types of data are identified at the one or more data entries. Types of accesses are identified for the data entries. Durations of the types of accesses to the data entries are identified. An access value is calculated by mapping the one or more types of data combined with the one or more types of accesses combined with the one or more durations of the types of accesses. Confidential sensitive data is moved according to the calculated access value, where a highly accessed confidential data is separated from lighted accessed confidential data by moving a selected portion of data from the source location to the destination location.

Abstract: An approach is disclosed for moving personal and sensitive data from a source filesystem to a destination filesystem while enforcing a source privacy legal framework. A request to copy information from a file residing in the source filesystem enabled to enforce the privacy and control legal framework to a destination filesystem is received. Access to the filesystem is enforced by an Operating System (OS) that provides a privacy legal framework where the OS enforces controlled access to the source filesystem based on user consent metadata. The user consent metadata associated with the file and the request is analyzed to determine a copying policy. The copying policy is applied to the contents of the file to ensure compliance with the privacy and control legal framework of the source filesystem.

Abstract: A method, system, and computer program product include providing a list of triggers, training the natural language processor with the list of triggers, providing to the natural language processor a text including one trigger, selecting nodes in the text to create an original potential span, predicting whether the original potential span includes another trigger, and adjusting, in response to predicting that the original potential span includes another trigger, the original potential span to exclude the another trigger to create a new potential span.