Abstract: A system, method and program product for stratigraphic layer identification using a stratigraphic knowledge base for machine learning. Reservoir data includes seismic data and well log data for a reservoir area. The well log data is processed to identify well stratigraphic layer features and the seismic data is processed to identify seismic stratigraphic layer features. A feature matching algorithm based on a stratigraphic knowledge base is selected to match the well stratigraphic layer features to the seismic stratigraphic layer features. The matched features are used to define a stratigraphic layer interpretation for the reservoir area and the interpretation is presented to a user.

Abstract: A system, method and program product for processing borehole images to delineate between natural fractures and induced fractures. A system is disclosed that includes: an image analysis platform that inputs a noisy image from a borehole, processes the image using a set of filtering strategies, and renders a set of suggested filtered images via a user interface, the user interface including a mechanism for allowing a user to choose a selected filtered image from the set of suggested filtered images that best delineates between natural fractures and induced fractures, and wherein the image analysis platform further includes a feedback system for packaging and outputting the noisy image and selected filtered image as feedback; and a learning platform having a knowledge registration system that collects and stores training data and the feedback and in a knowledgebase, and a machine learning system that generates filtering strategies.

Abstract: A system, method and program product for processing borehole images to delineate between natural fractures and induced fractures. A system is disclosed that includes: an image analysis platform that inputs a noisy image from a borehole, processes the image using a set of filtering strategies, and renders a set of suggested filtered images via a user interface, the user interface including a mechanism for allowing a user to choose a selected filtered image from the set of suggested filtered images that best delineates between natural fractures and induced fractures, and wherein the image analysis platform further includes a feedback system for packaging and outputting the noisy image and selected filtered image as feedback; and a learning platform having a knowledge registration system that collects and stores training data and the feedback and in a knowledgebase, and a machine learning system that generates filtering strategies.

Abstract: Identifying life events within social network feeds. The method may include receiving social media data. The method may include identifying life event data within the social media data. The method may include determining a life event probability score associated with a life event class for the life event data using metadata. The method may include assigning a first life event class to each item of life event data based on the life event probability score. The method may include creating conversations by grouping the life event data. The method may include extracting metadata. The method may include determining a conversation probability score for each conversation based on the metadata and the life event probability score associated with each item of life event data. The method may include assigning a second life event class based on the conversation probability score. The method may include displaying the conversations based on user preferences.

Abstract: Identifying life events within social network feeds. The method may include receiving social media data. The method may include identifying life event data within the social media data. The method may include determining a life event probability score associated with a life event class for the life event data using metadata. The method may include assigning a first life event class to each item of life event data based on the life event probability score. The method may include creating conversations by grouping the life event data. The method may include extracting metadata. The method may include determining a conversation probability score for each conversation based on the metadata and the life event probability score associated with each item of life event data. The method may include assigning a second life event class based on the conversation probability score. The method may include displaying the conversations based on user preferences.

Abstract: A system, method and program product for stratigraphic layer identification using a stratigraphic knowledge base for machine learning. Reservoir data includes seismic data and well log data for a reservoir area. The well log data is processed to identify well stratigraphic layer features and the seismic data is processed to identify seismic stratigraphic layer features. A feature matching algorithm based on a stratigraphic knowledge base is selected to match the well stratigraphic layer features to the seismic stratigraphic layer features. The matched features are used to define a stratigraphic layer interpretation for the reservoir area and the interpretation is presented to a user.

Abstract: The present disclosure relates generally to the field of segmenting social media users (such as users of a social media network) by means of life event detection (such as based upon social media messages and/or postings) and entity matching. In various embodiments, systems, methods and computer program products are provided.

Abstract: Aspects of the present invention include a method, system and computer program product. The method includes a method includes selecting a chart, and interpreting contents within the selected chart. The method also includes searching for additional sources of information, and extracting information from the additional sources of information. The method further includes combining the interpreted chart contents with the extracted information, and generating a textual description of the selected chart.

Abstract: A photographing method including: displaying, at an image acquisition device, a scene that includes a first person; displaying, at the image acquisition device, a first score in the scene, wherein the first score is indicative of the first person's contentment with the way he or she looks in the scene; and acquiring, at the image acquisition device, a photograph of the scene when the first score is equal to or greater than a threshold value.

Abstract: Aspects of the present invention include a method, system and computer program product. The method includes a method includes selecting a chart, and interpreting contents within the selected chart. The method also includes searching for additional sources of information, and extracting information from the additional sources of information. The method further includes combining the interpreted chart contents with the extracted information, and generating a textual description of the selected chart.

Abstract: The present disclosure relates generally to the field of segmenting social media users (such as users of a social media network) by means of life event detection (such as based upon social media messages and/or postings) and entity matching. In various embodiments, systems, methods and computer program products are provided.

Abstract: A computer implemented method for selective dissemination of social media content is provided. The computer implemented method receives social media content associated with a first user at a social networking site and classifies the social media content associated with the first user into at least one social network community. The computer implemented method inhibits access to the social media content associated with the first user by at least one of a second user and another user not within the at least one social network community and outputs for display a first notification to the user.

Abstract: A system for managing items. The system includes a sensor for identifying a first physical object and a second physical object in a building. A computer interface in communication with the sensor is configured to receive a first identification of the first physical object and a second identification of the second physical object. A computer with at least one central processing unit is configured to automatically search for trend information about the first physical object, determine a first interaction between the first physical object and the second physical object based on the first identification of the first physical object and the second identification of the second physical object, and recommend disposition of the first physical object based on the first interaction between the first physical object and the second physical object, and the trend information about the first physical object.

Abstract: Identifying life events within social network feeds. The method may include receiving social media data. The method may include identifying life event data within the social media data. The method may include determining a life event probability score associated with a life event class for the life event data using metadata. The method may include assigning a first life event class to each item of life event data based on the life event probability score. The method may include creating conversations by grouping the life event data. The method may include extracting metadata. The method may include determining a conversation probability score for each conversation based on the metadata and the life event probability score associated with each item of life event data. The method may include assigning a second life event class based on the conversation probability score. The method may include displaying the conversations based on user preferences.

Abstract: Provided is a mechanism which may use a real Online Social Network (OSN) to simulate user behavior based on what the user(s) post in order to analyze how the information is spread across a network. In various embodiments, the disclosed mechanisms may be implemented via systems, methods and/or computer program products.