Abstract: A method for providing bidding support to a user during an auction using cognitive modeling comprises obtaining data associated with the auction, with the obtained data comprising data associated with at least one bidder. The obtained data is analyzed, and at least one output is generated based on the analysis. The at least one output is sent to at least one device associated with the user. The at least one device is configured to generate at least one alert based on the at least one output, with the at least one alert providing decision support to the user with respect to bidding strategy.

Abstract: A computing system for predictive traffic management using virtual lanes. In an embodiment, the system dynamically monitors and collects traffic conditions in real time, performs analytics on the collected traffic data, utilizes a neural network or other self-learning computer to assist in predictive traffic modeling, and interfaces with a public transfer system to provide an allocation/reallocation of lanes available for traffic use to optimize traffic flow and/or control traffic signals, and can provide vehicles (human driver or driverless/self-driving) with real time optimal route guidance, including use of alternate routes and a holographic image that shows and may also provide audio indications of lane allocation.

Abstract: A computer-implemented method comprises identifying a software development project profile and identifying one or more project activity data artefacts associated with the software development project profile. The computer-implemented method further comprises determining one or more structured project activity data artefacts based on the one or more project activity data artefacts and determining one or more structural mapping conclusions based on the one or more structured project activity data artefacts. The computer-implemented method further comprises determining one or more project structural conclusions associated with the software development project profile based on the one or more structural mapping conclusions. A corresponding computer program product and computer system are also disclosed.

Abstract: A computer-implemented method comprises identifying a software development project profile and identifying one or more project activity data artefacts associated with the software development project profile. The computer-implemented method further comprises determining one or more structured project activity data artefacts based on the one or more project activity data artefacts and determining one or more structural mapping conclusions based on the one or more structured project activity data artefacts. The computer-implemented method further comprises determining one or more project structural conclusions associated with the software development project profile based on the one or more structural mapping conclusions. A corresponding computer program product and computer system are also disclosed.

Abstract: In an approach for delivering customized messages, a computer receives a request to initiate a communication, wherein the request includes a caller and at least one recipient. The computer determines an identifier associated with the caller and an identifier associated with the at least one recipient from the received request. The computer identifies the caller and the at least one recipient based on the corresponding determined identifiers. The computer retrieves data associated with the identified caller and the identified at least one recipient, wherein the data includes personal information, Internet browsing trends, and listening preferences. The computer determines customized messages for the identified caller and the identified at least one recipient based on the retrieved data associated with the identified caller and the at least one recipient. The computer delivers the determined customized messages to one or more of the identified caller and the identified at least one recipient.

Abstract: A mapping is constructed between a node of a cultural hierarchy and a node of an organizational hierarchy. The cultural hierarchy is a data structure representing an arrangement of characteristics of different social levels relative to one another in a culture. The organizational hierarchy is a data structure representing an arrangement of characteristics of different roles of people relative to one another in a group. A set of cultural attributes is constructed to represent a persona of a human user according to mapping. Using a cultural attribute, an adjustment rule is selected from a library. A machine output is modified according to the adjustment rule. The machine output is in response to a dialog between a data processing system and human user in a machine-human interaction. The adjusted output is transformed and presented as a response to the human user in the machine-human interaction.

Abstract: A flood warning system and method are described. The system obtains localized flood depth information and, based upon alert parameter information provided by registered users, creates personalized flood alerts for the registered users. The method uses ultrasound derived localized flood depth information and alert parameter information provided by registered users to provide personalized flood alerts to the registered users.

Abstract: A method and system for making recommendations based on analyzed hereditary and genetic data is provided. The method includes receiving data associated with a family origin and identifying a set of characteristics from the data, which are associated with an individual within a family tree. The method further includes creating an object pattern from the set of characteristics, to define a scoring model, and providing a recommendation using an electronic device to members of a family based on the created object patterns.

Abstract: Embodiments include method, systems and computer program products for proximity based content security. Aspects include receiving a request to access a secured data by a user device; accessing, by a processor, a security profile for the secured data; obtaining environmental data from one or more sensors related to the user device, wherein a type of the one or more sensors is determined by the security profile; and providing access to the secured data based upon a determination that the environmental data is in compliance with the security profile.

Abstract: Embodiments include method, systems and computer program products for management of virtual parking spaces. Aspects include determining a demand level for parking in geographic area, identifying one or more virtual parking spaces in the geographic area that can be allocated to meet the demand level and receiving a parking request from a vehicle in the geographic area. In response to receiving the parking request, aspects also include allocating one of the one or more virtual parking spaces to a vehicle based on a characteristic of the vehicle. Aspects further include transmitting identification information of the one of the one or more virtual parking spaces to the vehicle, wherein the identification information includes a location and a dimension of the one of the one or more virtual parking spaces.

Abstract: Configuring and providing suggestions for scheduling appointments for a user through a multi-dimensional dynamic scheduler framework connected to a data correlations framework which collects data from various sources.

Abstract: To guide a conversation based on cognitive analytics, data of the conversation up to a time in the conversation is received from a conversation interface while the conversation is continuing. Current data is received from a data source. The current data relates to a remote participant in the conversation and a topic in the conversation. A sentiment value of the remote participant during the conversation is determined from the current data and the conversation data. While the conversation is continuing, data of a prompt is introduced into the conversation. The data of the prompt is configured to cause the conversation to increase the sentiment value of the remote participant. A profile of the remote participant is updated with the sentiment value, to form an updated profile. The updated profile is used as a second data source in a later portion of the conversation.

Abstract: A flood warning system and method are described. The system obtains localized flood depth information and, based upon alert parameter information provided by registered users, creates personalized flood alerts for the registered users. The method uses ultrasound derived localized flood depth information and alert parameter information provided by registered users to provide personalized flood alerts to the registered users.

Abstract: To guide a conversation based on cognitive analytics, data of the conversation up to a time in the conversation is received from a conversation interface while the conversation is continuing. Current data is received from a data source. The current data relates to a remote participant in the conversation and a topic in the conversation. A sentiment value of the remote participant during the conversation is determined from the current data and the conversation data. While the conversation is continuing, data of a prompt is introduced into the conversation. The data of the prompt is configured to cause the conversation to increase the sentiment value of the remote participant. A profile of the remote participant is updated with the sentiment value, to form an updated profile. The updated profile is used as a second data source in a later portion of the conversation.

Abstract: An approach includes a system implemented in a computer infrastructure including a processor. The approach further includes the processor configured to receive dimensionally aware linkages. The approach further includes the processor configured to retrieve aggregated data from a data set. The approach further includes the processor configured to identify at least one affinity cluster related to the dimensionally aware linkages in at least two dimensions and the retrieved aggregated data by performing at least one lookup linkage which matches at least one dimension of the at least two dimensions of the dimensionally aware linkages with the retrieved aggregated data. The approach further includes the processor configured to provide personalized content to a user having same or similar user preferences as the received dimensionally aware linkages based on the identified at least one affinity cluster.

Abstract: A flood warning system and method are described. The system obtains localized flood depth information and, based upon alert parameter information provided by registered users, creates personalized flood alerts for the registered users. The method uses ultrasound derived localized flood depth information and alert parameter information provided by registered users to provide personalized flood alerts to the registered users.

Abstract: In an approach for delivering customized messages, a computer receives a request to initiate a communication, wherein the request includes a caller and at least one recipient. The computer determines an identifier associated with the caller and an identifier associated with the at least one recipient from the received request. The computer identifies the caller and the at least one recipient based on the corresponding determined identifiers. The computer retrieves data associated with the identified caller and the identified at least one recipient, wherein the data includes personal information, Internet browsing trends, and listening preferences. The computer determines customized messages for the identified caller and the identified at least one recipient based on the retrieved data associated with the identified caller and the at least one recipient. The computer delivers the determined customized messages to one or more of the identified caller and the identified at least one recipient.

Abstract: For data integration using APIs, a request for data is analyzed to determine a set of functional characteristics and a set of non-functional characteristics expected in the data. A first API entry is selected in a registry of API entries, the first API entry corresponding to a first API of the first data source. The first API entry includes a first metadata corresponding to a first functional characteristic in the set of functional characteristics. The first API is invoked to obtain a first portion of the data, the first portion having the first functional characteristic. Using a second API entry in the registry, a second API is invoked to obtain a second portion of the data. The first portion and the second portion are returned in a response to the request.

Abstract: A model-based approach for transforming data. A modeling framework that includes a plurality of rules for performing transformations of data is developed. A data unit is configured. The data unit is assigned to a job that includes one or more rules of the plurality of rules. The job transforms the data unit from a data format of a source system into a data format of a destination system. Usage statistics for at least one rule of the job are monitored. An aggregate rule is determined based on a first atomic rule and a second atomic rule. The first atomic rule and the second atomic rule are identified by at least one, or in part by a common pattern. A first rule of the job is identified based on the usage statistics of a plurality of data units. The first rule is removed from memory.

Abstract: A method and associated systems for a multidimensional information repository for managing dynamic time-sensitive and space-sensitive user profiles. A profile-management system receives an incoming event that identifies a user profile and is associated with a location, a time period, and a subject. The system searches the repository for records that identify the profile, location, time period, and subject and creates any such records that do not already exist. The system then creates time-sensitive and space-sensitive linkages that link the user profile record to the location, time-period, and subject records. The system dynamically updates these linkages in response to changes to the user profile and uses the linkages to assign context to queries submitted to a main database. In another embodiment, the system recommends additional linkages based on patterns identified in the newly created linkages.