Abstract: An embodiment includes generating an intent string representative of a user's intention based on an input string from the user. The embodiment generates a search string that includes text from the input string and text from the intent string, and then executes a text-based query and an ontology-based query against a graph database using the search string. The embodiment generates a combined set of search results from search results of the text-based query and search results of the ontology-based query. The embodiment generates final relevance scores for the combined set of search results by adjusting at least a portion of preliminary relevance scores of the combined set of search results. The embodiment generates a query response that includes the combined set of search results ranked according to the final relevance scores.

Abstract: A method, system and computer program product for identifying a geographic market share. Mobility data is acquired from applications running on mobile devices of users located within a geographic area. Mobility data is then used to infer shopping habits within the geographic area. Geo-demographic profiles are then created. The geographic market share is then determined using the created geo-demographic profiles.

Abstract: A computer-implemented method, system and computer program product for discovering objects in a database containing a populated ontology. A first network is constructed with objects as the nodes and the shared concepts as the edges between the objects. A second network is constructed with nodes corresponding to the terms related to the search term and the search term synonyms and objects associated with the search term and the search term synonyms, where the edges correspond to the relationships between the terms and the objects. First and second scores are generated for each object in an ontology database based on the first and second networks, respectively, which are combined to form a final score for each object in the ontology database. After ranking the objects in the ontology database based on their associated final scores, objects from the ontology database are presented to the user based on their rank.

Abstract: A schedule for performing physical activities is generated by a physical activity model. The model draws from activity data, environmental data, and physical data collected during performance of identified physical activities. Weather forecasts for a particular region and time range drive the model to produce the performance schedule during the time range.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for talent acquisition. A method comprises receiving a job application from an Applicant, wherein the job application includes a resume and analyzing the job applicant of the Applicant to gather information about the Applicant. Creating an applicant profile based on the gathered information about the Applicant and comparing the applicant profile to an exemplar employee profile to determine if the Applicant is a good match for a job position that corresponds to the job application. Sending the applicant's profile, the exemplar employee profile, the comparison result, and the job application to a review contact.

Abstract: A schedule for performing physical activities is generated by a physical activity model. The model draws from activity data, environmental data, and physical data collected during performance of identified physical activities. Weather forecasts for a particular region and time range drive the model to produce the performance schedule during the time range.

Abstract: A method, system and computer program product for identifying a geographic market share. Mobility data is acquired from applications running on mobile devices of users located within a geographic area. Mobility data is then used to infer shopping habits within the geographic area. Geo-demographic profiles are then created. The geographic market share is then determined using the created geo-demographic profiles.

Abstract: A method, system and computer program product for identifying a geographic market share. Mobility data is acquired from applications running on mobile devices of users located within a geographic area. Mobility data is then used to infer shopping habits within the geographic area. Geo-demographic profiles are then created. The geographic market share is then determined using the created geo-demographic profiles.