Abstract: One embodiment provides a method that includes determining candidate ontologies for alignment from multiple available knowledge bases. An initial target ontology is selected from the candidate ontologies and correcting the initial selected ontology with received refinement input. Concepts in the selected initial ontology are aligned with concepts of the target ontology using a deep learning hierarchical classification with received review input. A user is assisted to build, change and grow the selected initial ontology exploiting both the target ontology and new facts extracted from unstructured data.

Abstract: Embodiments relate to a system, program product, and method for use with a physical computing device to process a data access request. The requested data is encrypted with two keys, including a physical device authentication key and a transient key. Access to the data requires authentication on both the device level and situational level. Device situational data is monitored, which includes selectively enabling access to the requested data and de-activation of the transient key in response to a change in the monitored situational data. The transient key de-activation removes access to the requested data.

Abstract: One embodiment provides a method for relevant language-independent terminology extraction from content, the method including extracting lexicon items from the content based on context extraction patterns using statistical processing. Feedback on the extracted lexicon items is received to automatically tune scores and thresholds for the context extraction patterns. Available Linked Data is leveraged for a bootstrap source. The relevant language-independent terminology extraction is bootstrapped using the bootstrap source.

Abstract: One embodiment provides a method for on-demand relation extraction from unstructured text that includes obtaining a text corpus of domain related unstructured text. Representations of the unstructured text that capture entity-specific syntactic knowledge are created. Initial user seeds of informative examples containing relations are received. Extraction models in a neural network are trained using the initial user seeds. Performance information and a confidence score are provided for each prediction for each extraction model. A next batch of informative examples are identified for annotation from the text corpus based on training a neural network classifier on a pool of labeled informative examples. Stopping criteria is determined based on differences of the performance information and the confidence score in relation to parameters for each extraction model. Based on the stopping criteria, it is determined whether to retrain a particular extraction model after the informative examples have been labeled.

Abstract: Embodiments relate to a system, program product, and method for use with a physical computing device to process a data access request. The requested data is encrypted with two keys, including a physical device authentication key and a transient key. Access to the data requires authentication on both the device level and situational level. Device situational data is monitored, which includes selectively enabling access to the requested data and de-activation of the transient key in response to a change in the monitored situational data. The transient key de-activation removes access to the requested data.

Abstract: Embodiments relate to a system, program product, and method for use with a physical computing device to process a data access request. The associated data is encrypted with a key pair that includes both a persistent key and a transient key. Both keys require authentication to access the requested data. The transient key is subject to real-time monitoring, with changes in situational data selectively affecting the validity of the transient key, and selectively changing the physical state of the physical computing device.

Abstract: Embodiments relate to a system, program product, and method for use with a computer platform to process and physically convey a notification to a physical medium. In response to receipt, a notification is processed against a hierarchical arrangement of categories. The notification is processed in real-time, including translation of the notification with respect to a tier in the hierarchy. A delivery mechanism and associated instruction is dynamically determined, which includes adaptively assigning the translated notification together with a delivery instruction to a destination device. A physical medium and associated physical device are identified, and the notification is physically conveyed to the physical device across the physical medium.

Abstract: An example operation may include one or more of connecting, by a contract execution node, to a blockchain network comprised of a plurality of Internet of things (IoT) nodes connected to a contract execution node, receiving, by the contract execution node, a contract between a sender and a recipient registered on the blockchain network, the contract contains a plurality of conditions, acquiring, by the contract execution node, data from the plurality of the IoT nodes, executing, by the contract execution node, a smart contract to compare the data against the plurality of the conditions of the contract, and in response to a match, executing a smart contract to transfer a blockchain asset from the sender to the recipient.

Abstract: Embodiments relate to a system, program product, and method for use with a physical computing device to process a data access request. The associated data is encrypted with a key pair that includes both a persistent key and a transient key. Both keys require authentication to access the requested data. The transient key is subject to real-time monitoring, with changes in situational data selectively affecting the validity of the transient key, and selectively changing the physical state of the physical computing device.

Abstract: One embodiment provides a method for on-demand relation extraction from unstructured text that includes obtaining a text corpus of domain related unstructured text. Representations of the unstructured text that capture entity-specific syntactic knowledge are created. Initial user seeds of informative examples containing relations are received. Extraction models in a neural network are trained using the initial user seeds. Performance information and a confidence score are provided for each prediction for each extraction model. A next batch of informative examples are identified for annotation from the text corpus based on training a neural network classifier on a pool of labeled informative examples. Stopping criteria is determined based on differences of the performance information and the confidence score in relation to parameters for each extraction model. Based on the stopping criteria, it is determined whether to retrain a particular extraction model after the informative examples have been labeled.

Abstract: One embodiment provides a method that includes determining candidate ontologies for alignment from multiple available knowledge bases. An initial target ontology is selected from the candidate ontologies and correcting the initial selected ontology with received refinement input. Concepts in the selected initial ontology are aligned with concepts of the target ontology using a deep learning hierarchical classification with received review input. A user is assisted to build, change and grow the selected initial ontology exploiting both the target ontology and new facts extracted from unstructured data.

Abstract: Embodiments relate to a system, program product, and method for use with an intelligent (AI) computer platform to process and physically convey a notification to a physical medium. In response to receipt, a notification is processed against a hierarchical arrangement of categories. The notification is processed in real-time, including translation of the notification with respect to a tier in the hierarchy. A delivery mechanism and associated instruction is dynamically determined, which includes adaptively assigning the translated notification together with a delivery instruction to a destination device. A physical medium and associated physical device are identified, and the notification is physically conveyed to the physical device across the physical medium.

Abstract: One embodiment provides a method for relevant language-independent terminology extraction from content, the method including extracting lexicon items from the content based on context extraction patterns using statistical processing. Feedback on the extracted lexicon items is received to automatically tune scores and thresholds for the context extraction patterns. Available Linked Data is leveraged for a bootstrap source. The relevant language-independent terminology extraction is bootstrapped using the bootstrap source.