Abstract: A computer program product for determining an impact of a proposed dialog act in a conversation according to one embodiment includes a computer readable storage medium having program instructions embodied therewith. The computer readable storage medium is not a transitory signal per se. The program instructions are executable by a processor to cause the processor to perform a method comprising receiving textual data associated with a real-time conversation between a first participant and a second participant, receiving an objective of the first participant for the real-time conversation between the first participant and the second participant, receiving a proposed dialog act to be entered at a current point in the real-time conversation from the first participant, determining an impact of the proposed dialog act on the objective of the first participant, and performing one or more actions based on the impact of the proposed dialog act.

Abstract: Input of a conversation is received. The conversation includes at least a first user. An utterance of the conversation is analyzed to identify a dialog act attribute, an emotion attribute, and a tone attribute. The dialog act attribute, emotion attribute, and tone attribute are annotated to the utterance of the conversation. The conversation is validated based on the annotated attributes compared with a threshold. The annotated conversation and the validation of the conversation are stored.

Abstract: Generating insight on a set of data is provided. A request for information regarding a specific topic is received from a client device corresponding to a requester. An analysis is performed on the request and a type of the information requested is determined based on the analysis. A set of information vendors is selected from a plurality of known information vendors based on the type of the information requested and other factors. Insights on the type of the information requested are obtained from the selected set of information vendors and an analysis is performed on the insights. A response to the request is generated based on the analysis of the insights on the type of the information requested that was obtained from the selected set of information vendors. The response to the request is sent to the client device corresponding to the requester.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a personalized interactive decision support system. A personalized product recommendation module executing within the personalized interactive decision support system correlates at least one customer to a set of consumption preferences using a machine learning model based on a set of traits of the at least one customer to form at least one customer-to-preference correlation. The personalized product recommendation module maps a set of products to the set of consumption preferences using a consumption preferences-to-product attribute mapping data structure based on a set of attributes of the set of products to form a set of product-to-preference correlations.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a personalized interactive decision support system. A customer profile generator executing within the personalized interactive decision support system determines a set of traits for at least one customer based on at least one user-generated content source. A personalized product recommendation module executing within the personalized interactive decision support system matches the at least one customer to at least one product within a set of products based on a consumption preferences-to-product attribute mapping data structure to form at least one product recommendation.

Abstract: Methods and arrangements for managing user access to a graph database. Nodes are represented in a graph, along with edges which interconnect the nodes. One or more facts are associated with each of the edges, and an access control list is provided with respect to one or more facts associated with one or more of the edges. There is restricted user access to one or more facts associated with the one or more of the edges, based on the access control list. Other variants and embodiments are broadly contemplated herein.

Abstract: A method, computer program product and computer system is provided. A processor identifies a cloud service offered by a service provider. A processor determines at least one feature of the cloud service. A processor determines a first categorization of the cloud service based, at least in part, on the at least one feature. A processor generates a publication of the cloud service for a cloud marketplace based, at least in part, on the first categorization and a second categorization of the cloud marketplace.

Abstract: Mechanisms are provided to implement a brand comparison engine. The mechanisms receive a request to compare brand personalities of a first specified brand and a second specified brand and obtain a first brand personality scale associated with the first specified brand and a second brand personality scale associated with the second specified brand. The mechanisms calculate at least one gap value indicating a difference between at least one personality trait in the first brand personality scale and a corresponding at least one personality trait in the second brand personality scale. The mechanisms also output an output indicating an aspect of the at least one gap based on the calculation.

Abstract: Mechanisms are provided to implement a brand personality perception gap assessment engine. The mechanisms receive an inferred brand personality for a specified brand. The mechanisms further receive an intended brand personality for the specified brand. The mechanisms calculate at least one gap between the inferred brand personality and the intended brand personality. The mechanisms output an output indicating aspects of the at least one gap.

Abstract: Mechanisms are provided to implement a brand personality inference engine. The mechanisms receive crowdsource information and extract features associated with a brand from the crowdsource information. The crowdsource information comprises natural language content submitted by a plurality of providers to a crowdsource information source. The mechanisms analyze features associated with the brand in accordance with a brand personality model configured to predict a brand personality for the brand based on the features associated with the brand. The mechanisms generate an inferred brand personality data structure, representing a perceived brand personality of providers providing the crowdsource information, and output an output indicating aspects of the perceived brand personality based on the inferred brand personality data structure.

Abstract: Methods and arrangements for managing user access to a graph database. Nodes are represented in a graph, along with edges which interconnect the nodes. One or more facts are associated with each of the edges, and an access control list is provided with respect to one or more facts associated with one or more of the edges. There is restricted user access to one or more facts associated with the one or more of the edges, based on the access control list. Other variants and embodiments are broadly contemplated herein.

Abstract: A method for cross-platform porting of applications includes extracting one or more platform independent models from an existing one or more composite applications running on a given source platform. These platform independent models are then transformed into implementation artifacts on another, target platform, thereby effectively porting the composite application from one platform to another. The generated implementation artifacts on the target platform leverage existing assets in the target environment, which makes these generated artifacts “contextually-aware”.

Abstract: A method for generating implementation artifacts for contextually-aware business applications includes utilizing a platform independent model (PIM) of a business application; generating a platform specific model (PSM) from the PIM, wherein the generating of a PSM includes one or more transformations between one or more meta-models of the PIM and one or more meta-models of the generated PSM; generating implementation artifacts; and binding the generated implementation artifacts with any existing services of the business application.

Abstract: A system and method for extracting a platform independent model (PIM) from the existing implementation artifacts of a composite application via an intermediary platform specific model (PSM) using model-driven transformations. Meta-models for the PSM and PIM are prepared and mapping rules are specified therebetween. The mapping rules can be created manually or derived automatically via ontology mapping techniques. Once specified, model driven transformations that codify the mapping rules generate the PIM which may include the structural, behavioral and user experience models of the composite application. To enhance the reusability of the extracted PIM, a business level service model along with a service dependency model is generated rather than IT level classes. These higher levels of abstraction enable the models to be linked with business objectives, which is important for companies to understand and maintain their service portfolios.

Abstract: A recommendation system exploits a repository of mashups to provide design-time assistance to the user through relevant suggestions as to what outputs can be generated along with the best plans to generate those outputs. An output ranker ranks the outputs of the system base on their popularity scores, and a planner uses metric planning algorithms and a configurable utility function. The system takes into account popularity and semantic similarity when recommending services and sources.

Abstract: A method for cross-platform porting of applications includes extracting one or more platform independent models from an existing one or more composite applications running on a given source platform. These platform independent models are then transformed into implementation artifacts on another, target platform, thereby effectively porting the composite application from one platform to another. The generated implementation artifacts on the target platform leverage existing assets in the target environment, which makes these generated artifacts “contextually-aware”.

Abstract: A system and method for extracting a platform independent model (PIM) from the existing implementation artifacts of a composite application via an intermediary platform specific model (PSM) using model-driven transformations. Meta-models for the PSM and PIM are prepared and mapping rules are specified therebetween. The mapping rules can be created manually or derived automatically via ontology mapping techniques. Once specified, model driven transformations that codify the mapping rules generate the PIM which may include the structural, behavioral and user experience models of the composite application. To enhance the reusability of the extracted PIM, a business level service model along with a service dependency model is generated rather than IT level classes. These higher levels of abstraction enable the models to be linked with business objectives, which is important for companies to understand and maintain their service portfolios.

Abstract: A method for generating implementation artifacts for contextually-aware business applications includes utilizing a platform independent model (PIM) of a business application; generating a platform specific model (PSM) from the PIM, wherein the generating of a PSM includes one or more transformations between one or more meta-models of the PIM and one or more meta-models of the generated PSM; generating implementation artifacts; and binding the generated implementation artifacts with any existing services of the business application.

Abstract: A method for effecting computer implemented decision support. The method can improve on a candidate solution by allowing problem solving methods to cooperate towards the creation of a more desirable solution. The method can realize an enhanced understanding of tradeoffs inherent in competing objectives, and can incorporate factors or special considerations not easily specified, by enabling the decision maker to actively participate in the creation of a more desirable solution.