International Business Machines Corporation

Other

Richard L Martin

Sheng Hua Bao

David Martinez Iraola

William Scott Spangler

Meenakshi Nagarajan

Feng Wang

Rashmi Gangadharaiah

Xiaoyang Gao

Dan G Tecuci

Dennis W Prather

Shouyuan Shi

Michael D Pfeifer

Christine Schieber

Harold L Becker

Shenghua Bao

Antonio Jose Jimeno Yepes

Yifei Zhang

Alix M Lacoste

Katherine Shen

Daniel Thornton Pierce

Neil S Bhargava

Thane D Schaffer

Dora Galvan

Ronald L Hoppe

Marek K Pakulski

A mechanism is provided in a data processing system comprising at least one processor and a memory comprising instructions which, when executed by the at least one processor, causes the at least one processor to implement a real-time prediction engine for real-time predication of chemical properties through combining calculated, structured, and unstructured data at large scale. Offline components executing within the real-time prediction engine store a computational representation for each of a plurality of chemical structures in a unified storage. Each computational representation maps a respective chemical structure to a vector of calculated chemical structure features and properties, unstructured chemical features and properties, and structured chemical features and properties. The offline components train a computational real-time predictive model based on the computational representations. A user interface executing within the real-time prediction engine receives a request specifying one or more chemical compounds. An analytics jobs manager executing within the real-time prediction engine predicts one or more properties of the one or more chemical compounds using the computational real-time predictive model. The analytics jobs manager outputs the one or more properties of the one or more chemical compounds to the user interface.

Real-time prediction of chemical properties through combining calculated, structured and unstructured data at large scale

According to embodiments of the present invention, methods, systems and computer readable media are provided, in a cognitive data processing system, for implementing a predictive analytics system that utilizes entity and non-entity information. A collection of content is processed to extract defined entities pertaining to one or more domains. Semantic relationships are determined between objects within the collection of content, wherein the objects include undefined entities. The defined entities and objects are resolved based on entity definitions and the semantic relationships to determine defined entities and undefined entities for a resulting data set. The resulting data set is processed to identify one or more relationships between a defined entity and an undefined entity.

Combining semantic relationship information with entities and non-entities for predictive analytics in a cognitive system

An embodiment of the invention may include a processor-implemented method and computer program product for temperature control. The embodiment may include performing, by at least one unmanned aerial vehicle, at least one local climate control action at a location based on data received from a wearable computing device of at least one individual.

Smart device for personalized temperature control

A method, computer system, and a computer program product for automatically extracting and normalizing at least one mutant gene entity from at least one set of unstructured text is provided. The present invention may include extracting the unstructured text describing first and second entities. The present invention may then include identifying a specific first entity and a specific second entity. The present invention may also include associating the specific first and the specific second entities. The present invention may further include creating the mutant gene entity. The present invention may then include identifying at least one semantic relationship between the created mutant gene entity and one or more third entities. The present invention may further include storing the at least one set of data associated with the specific first and specific second entity, the semantic relationship, and the created mutant gene entity in a database.

Extraction and normalization of mutant genes from unstructured text for cognitive search and analytics

A method, computer system, and a computer program product for determining the reliability of a claim is provided. The present invention may include receiving an input data from a user. The present invention may also include analyzing the claim associated with the received input data to determine a reliability score associated with the input data, wherein the claim is semantically similar to the received input data. The present invention may further include generating, from a prediction model, the reliability score for the claim associated with the received input data. The present invention may also include presenting the reliability score for the claim associated with the received input data to the user.

Automatic claim reliability scorer based on extraction and evidence analysis

According to embodiments of the present invention, an entity may be represented by an unstructured feature vector comprising a plurality of features extracted from unstructured data using semantic analysis and a structural feature vector comprising a plurality of features from chemical structure data. A similarity matrix may be used to compare entities and generate a similarity score, based on both the unstructured feature vector and the structural feature vector for each entity. In some aspects, a user may enter a query (from which a chemical structural feature vector is dynamically generated) to compare against entities having unstructured and/or structural feature vectors, stored in a database.

Combining chemical structure data with unstructured data for predictive analytics in a cognitive system

A method, computer system, and a computer program product for identifying and storing at least one representation to at least one chemical compound is provided. The present invention may include identifying a chemical compound associated with a source data. The present invention may also include assigning a structure representation to the identified chemical compound associated with the source data. The present invention may further include computing an unformulated representation based on the assigned structure representation. The present invention may then include indexing the computed unformulated representation and the assigned structure representation. The present invention may further include storing the indexed unformulated representation and the indexed structure representation separately as single records in a database.

Chemical formulation-aware cognitive search and analytics

A method for cognitive screen sharing protection is provided. The method may include, in determining a screen sharing session of a client computing device associated with a user has been initiated, receiving, by a processor, a plurality of pertinent state data associated with the client computing device. The method may also include assigning an initial binary status to at least one display window of at least one open application on the client computing device. The method may further include, in determining a change has occurred to the screen sharing session, updating each assigned binary status. The method may also include detecting an undesirable sharing situation on the client computing device based on the updated binary status of the at least one display window. The method may further include performing a precautionary action based on the detected undesirable sharing situation.

Cognitive screen sharing with contextual awareness

Traveling-wave directional filters (DFs) with multiple coupling slots are disclosed. A traveling-wave directional filter may include two terminating conductive strips in a top circuit layer of a substrate, a loop resonator in a bottom layer of a substrate, and a shared ground plane. Coupling slots in the ground plane may couple the conductive strips via the loop resonator.

Slot coupled directional coupler and directional filters in multilayer substrate

Mechanisms are provide for implementing a context aware abbreviation detection and annotation operation. An instance of a full name of an entity is identified in received content and analysis of a context window associated with the instance of the full name of the entity is performed to identify a presence of a pattern of content representative of an abbreviation. An abbreviation is identified as being present in association with the instance of the full name of the entity based on results of the analysis of the context window and a mapping data structure that maps the full name of the entity to the abbreviation is generated. The received content is annotated based on the mapping data structure to thereby generate abbreviation annotations for the received content. The annotated received content is output for use by a cognitive system to perform a cognitive operation based on the annotated received content.

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Jamaica Plain, MA, United States of America

Richard L Martin