International Business Machines Corporation

Microsoft Technology Licensing, LLC

Robert Boschgmbh

Xiaoyang Gao

Sheng Hua Bao

William Scott Spangler

Brian Scott Dreher

Yanyan Han

Feng Wang

Richard L Martin

Hrishikesh Sathe

Zhengyu Zhou

Pongtep Angkititrakul

HyeongSik Kim

Ting Yu Cliff Leung

Liangzhao Zeng

Xiaowei Zhou

Embodiments of the system in includes data set analytics to identify one or more dataset utilized by a workflow. The data set analytics identifies upstream data sets referenced by the data sets utilized by the workflow. The set of all data sets relevant to the workflow are considered applicable data sets, and are analyzed. The data set analytics determines a usage pattern of each of the applicable data sets by the workflow, and identifies one or more data quality assertions for each of the applicable of data sets based on the usage pattern. The data set analytics further perform a quality evaluation of the applicable data sets by applying data quality assertions to the applicable data sets used by the workflow.

Flow-based data quality monitoring

A computer system accesses a storage device. Contents of an object of a request are sorted. The contents of an object of a request are sorted. A hash key is generated to access information in the storage device based on the sorted contents of the object, wherein objects with non-critical differences are mapped to the same hash key. The information in the storage device is accessed based on the generated hash key to produce a response to the request. Embodiments of the present invention further include a method and program product for accessing a storage device in substantially the same manner described above.

Accessing cached data using hash keys

A smart mask includes a main body having a back frame and a front cover. The back frame and the front cover each include an opening that is aligned with the mask wearer's mouth when worn. The front cover and back frame may be detachable from one another, or a single piece. A microphone is provided in the main body, as well as a speaker. A processor located in the main body is connected to the microphone and the speaker, and is configured to enhance the speech of the mask wearer. In particular, the processor receives audio signals representing a transformation of a spoken utterance of the wearer, processes the audio signals to enhance the speech, and then outputs the enhanced speech to the speaker. This helps other people better understand what the mask wearer is saying.

Smart mask and smart mask system

A computer system processes a group of inputs. A group of entities that is input for processing is intercepted. The intercepted group is expanded into individual entities. Each of the individual entities is processed to produce results for each individual entity. The results for each individual entity are intercepted and merged to produce results for the group of entities. Embodiments of the present invention further include a method and program product for processing a group of inputs in substantially the same manner described above.

Processing entity groups to generate analytics

According to embodiments of the present invention, similarity metrics or measures of similarity may be combined using an adaptive weighting scheme. A subset of entities from a first set of entities that have a known relationship is randomly selected. The subset is combined with a second set of entities that have an unknown relationship to each other and/or to the first set of entities. At least two different measures of similarity (similarity metrics) between the first set and the combined second set (including the subset) is determined for each entity in the second set. For each entity in the second set, the at least two different measures of similarity are compared, and a weight is assigned adaptively to each measure of similarity based on the magnitude of the measure of similarity. The weighted measures of similarity are combined to determine an aggregate adaptively weighted similarity score for each entity.

Adaptive weighting of similarity metrics for predictive analytics of a cognitive system

Methods, systems, and computer program products are provided for processing a request regarding relationships among instances of entities. A graphical representation of instances of entities is generated and includes one or more source nodes, each representing an instance of an input entity of a request, and one or more related nodes, each representing an instance of a second entity related to one or more corresponding instances of the input entity and associated with a corresponding confidence score for the relationship. Each of the one or more related nodes associated with a confidence score satisfying a threshold is identified. One or more supplemental nodes are added to the graphical representation, each of which represents a corresponding instance of a third entity with a relationship to a corresponding instance of the second entity. The graphical representation is traversed to identify relationships between instances of entities and produce results for the request.

Searching for and determining relationships among entities

Methods, systems and computer readable media are provided for accessing data utilizing a multi-level table comprising generating a plurality of levels of the multi-level table, wherein a first level of the multi-level table includes a hyper-table with a plurality of hyper-cells each hyper-cell including information for a group of cells from an initial base table, wherein intermediate levels of the multi-level table each include a plurality of hyper-tables comprising hyper-cells with each hyper-table linked to and providing information for a corresponding hyper-cell of a hyper-table of a prior level, and wherein a plurality of tables of a terminal level includes information from cells of the initial base table with each table linked to and providing information for a corresponding hyper-cell. Data from the multi-level table is accessed by traversing links between the hyper-tables of the plurality of levels to access data within the tables of the terminal level.

Accessing data in a multi-level display for large data sets

Methods, systems and computer readable media are provided for accessing faceted information using ontologies. Information for an initial entity, including different ontologies to which the initial entity belongs, is retrieved. Entities within different ontologies are determined. The determined entities and different ontologies are displayed on a user interface to enable traversal of the different ontologies for viewing of the determined entities. Accordingly, a user may search for an initial entity. Different ontologies, linked to the initial entity may be returned. A user may select an ontology, and ontologies in which the initial entity belongs are displayed. The user may select any of the displayed ontologies to access other entities in the selected ontology.

Accessing faceted information using ontologies

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.

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San Jose, CA, United States of America

Xiaoyang Gao