Abstract: A computer-implemented method for generating a description of a target skill set using domain specific language, a computer program product, and a system. Embodiments may comprise, on a processor, ingesting a data set related to the target skill from a data store, semantically analyzing the data set to generate a skill ontology, generating a hyperplane to separate one or more priority skills from among the plurality of related skills, generating a description for the target skill from the one or more priority skills, and presenting the generated description to a user. The skill ontology may include relationships between the target skill and a plurality of related skills.

Abstract: A method of analyzing one or more asset repositories to determine a developer's competency and ability to collaborate in a team environment. The method includes obtaining metadata artifacts as documents from one or more asset repositories. The documents are represented using a tree structure that has nodes to form a knowledge graph that is suitable for input vectorization. Each node is configured in the tree structure to represent a content region within the one or more documents, with a root node representing the entire document and each node representing an aggregation of all its children nodes. One or more computing devices are used to receive an input vector that includes a set of descriptive statistics about data in asset repositories and a vectorized form of one or more concepts. The developer's competency and ability to collaborate in a team environment is automatically estimated using output values of a trained neural network.

Abstract: A method of analyzing one or more asset repositories to determine a developer's competency and ability to collaborate in a team environment. The method includes obtaining metadata artifacts as documents from one or more asset repositories. The documents are represented using a tree structure that has nodes to form a knowledge graph that is suitable for input vectorization. Each node is configured in the tree structure to represent a content region within the one or more documents, with a root node representing the entire document and each node representing an aggregation of all its children nodes. One or more computing devices are used to receive an input vector that includes a set of descriptive statistics about data in asset repositories and a vectorized form of one or more concepts. The developer's competency and ability to collaborate in a team environment is automatically estimated using output values of a trained neural network.

Abstract: A computer-implemented method for generating a description of a target skill set using domain specific language, a computer program product, and a system. Embodiments may comprise, on a processor, ingesting a data set related to the target skill from a data store, semantically analyzing the data set to generate a skill ontology, generating a hyperplane to separate one or more priority skills from among the plurality of related skills, generating a description for the target skill from the one or more priority skills, and presenting the generated description to a user. The skill ontology may include relationships between the target skill and a plurality of related skills.

Abstract: Embodiments for cognitively identifying a propensity for obtaining white space target entities by a processor. Similarities between one or more potential target entities and current entities may be compared according to structured data and unstructured data. A propensity to engage in a transaction agreement may be determined for the one or more potential target entities according to the similarities and historical transaction agreements.

Abstract: A computer-implemented method includes: receiving, by a computing device, information identifying the presence of a crowdsourcing event; receiving, by a computing device, indirect crowdsourcing data including user device activity from a plurality of user devices within a geofence associated with the crowdsourcing event; generating, by the computing device, indirect crowdsourcing data records based on the indirect crowdsourcing data; receiving, by the computing device, a query relating to the crowdsourcing event; generating, by the computing device, a query response in response to the query based on the indirect crowdsourcing data records; and providing by the computing device, the query response.

Abstract: Methods, systems, and computer program products for determining collaborative enterprise decisions based on regulatory impacts are provided herein. A computer-implemented method includes generating, for each one of multiple target entities within an enterprise, impact functions pertaining to entity-specific impacts of a regulation on one or more impact factors; producing weighted impact functions by applying, to the generated impact functions, weights determined by the multiple target entities; calculating a combined enterprise impact attributed to the regulation by combining the weighted impact functions via one or more algorithms; determining a single collaborative enterprise policy for complying with the regulation based at least in part on the combined enterprise impact; and outputting the collaborative enterprise policy to the multiple target entities within the enterprise.

Abstract: Embodiments for cognitively identifying white space target entities by a processor. Similarities between one or more potential target entities and current entities may be compared according to structured data and unstructured data. A propensity to engage in a transaction agreement may be determined for the one or more potential target entities according to the similarities and historical transaction agreements.

Abstract: A computer-implemented method includes: receiving, by a computing device, information identifying the presence of a crowdsourcing event; receiving, by a computing device, indirect crowdsourcing data including user device activity from a plurality of user devices within a geofence associated with the crowdsourcing event; generating, by the computing device, indirect crowdsourcing data records based on the indirect crowdsourcing data; receiving, by the computing device, a query relating to the crowdsourcing event; generating, by the computing device, a query response in response to the query based on the indirect crowdsourcing data records; and providing by the computing device, the query response.

Abstract: An embodiment of the invention provides a method for monitoring for and detecting a leak in a line where a mobile detector having an audio sensor and an odor sensor transiting along the line. A sample audio reading is obtained by the audio sensor; and, a sample odor reading is obtained by the odor sensor. A processor compares the sample audio reading to a baseline audio reading to determine whether the line is leaking. The processor compares the sample odor reading to a baseline odor reading to determine whether the line is leaking. The location of the mobile detector is identified by a GPS device on the mobile detector when the processor determines that the line is leaking. The location of the mobile detector, the sample audio reading, and the sample odor reading is sent to a central monitoring center by a communications device on the mobile detector.

Abstract: An emotionally intelligent advertising method, system, and non-transitory computer readable medium, include characterizing a first content based on a topic type and an emotional index value, determining if the emotional index value is greater than a threshold emotional index value, and creating a suppression record to suppress a type of advertisement related to the topic type of the first content from being advertised following the first content when the determining determines that the emotional index value is greater than the threshold emotion index value.

Abstract: An embodiment of the invention provides a method for monitoring for and detecting a leak in a line where a mobile detector having an audio sensor and an odor sensor transiting along the line. A sample audio reading is obtained by the audio sensor; and, a sample odor reading is obtained by the odor sensor. A processor compares the sample audio reading to a baseline audio reading to determine whether the line is leaking. The processor compares the sample odor reading to a baseline odor reading to determine whether the line is leaking. The location of the mobile detector is identified by a GPS device on the mobile detector when the processor determines that the line is leaking. The location of the mobile detector, the sample audio reading, and the sample odor reading is sent to a central monitoring center by a communications device on the mobile detector.

Abstract: Methods, systems and program products for providing real-time sales recommendations. A user selects a sales offering, and then batch or real-time data feeds of currently available sales offering pricing, availability, performance and data-mined analytics information are transmitted to a real-time data interface. The real-time data interface generates real-time sales recommendations based on the selected sales offering and data feeds. These real-time sales recommendations are determined by defining four distinct sell spaces that include an up-sell space, a down-sell space, and first and second alternative-sell spaces, whereby the real-time sales recommendations include up-sell, down-sell and alternative-sell recommendations. Business rules are used to determine which of the four distinct sell spaces these real-time sales recommendations will occupy. The real-time sales recommendations are continually refreshed and updated, and as such, may be tailored to a user's wants and needs.