METHODS AND SYSTEMS FOR REUSE OF DATA ITEM FINGERPRINTS IN GENERATION OF SEMANTIC MAPS

    公开(公告)号:US20220156303A1

    公开(公告)日:2022-05-19

    申请号:US17526474

    申请日:2021-11-15

    Applicant: cortical.io AG

    Abstract: A method for using distributed representations of data items within a first set of data documents clustered in a first two-dimensional metric space to generate a cluster of distributed representations in a second two-dimensional metric space includes clustering in a first two-dimensional metric space, by a reference map generator, a set of data documents, generating a semantic map. A parser generates an enumeration of data items occurring in the set of data documents. A representation generator generates a distributed representation using occurrence information about each data item. A sparsifying module receives an identification of a maximum level of sparsity and reduces a total number of set bits within the distributed representation. The reference map generator clusters, in a second two-dimensional metric space, a set of SDRs retrieved from the SDR database and selected according to a second at least one criterion, generating a second semantic map.

    Ontology creation assistance device

    公开(公告)号:US11281853B2

    公开(公告)日:2022-03-22

    申请号:US16476347

    申请日:2017-03-06

    Inventor: Hayato Uchide

    Abstract: A search unit (13) searches an ontology database (11) for a node set similar to a given word. A template creating unit (14) creates a template from common properties and nodes possessed by nodes included in the node set that has been searched for. An additional information determining unit (15) creates a triple by connecting the template to a node having the given word as a name, uses the created triple as display data, and when a triple is given, registers the given triple in the ontology database (11).

    ELECTRONIC DEVICE AND CONTROL METHOD THEREFOR

    公开(公告)号:US20220059088A1

    公开(公告)日:2022-02-24

    申请号:US17299061

    申请日:2020-01-07

    Abstract: An electronic device is disclosed. The electronic device of the present disclosure comprises a microphone, a memory including at least one command, and a processor which is connected to the microphone and the memory and controls the electronic device, wherein the processor, by executing the at least one command extracts a keyword from a user voice received as an input when the user voice is input through the microphone, acquires context information at the time when the user voice is input, acquires an object related to the user voice and knowledge information relating to the object, on the basis of the extracted keyword and the context information, and updates a stored knowledge database on the basis of the knowledge information relating to the object. In particular, at least a part of a method for providing a response to a user query by an electronic device may use an artificial intelligence model learned in accordance with at least one of machine learning, a neural network, and a deep-learning algorithm.

    Term-cluster knowledge graph for support domains

    公开(公告)号:US11250044B2

    公开(公告)日:2022-02-15

    申请号:US16879604

    申请日:2020-05-20

    Abstract: Given a skeleton knowledge graph including first terms in respective nodes, wherein first terms in connected nodes have a predetermined relationship, an augmented knowledge graph is formed by a first computing device by extracting a second term from a domain corpus to form a term cluster linked with a respective node of the knowledge graph. The second term is associated with the first term of a respective node in the domain corpus while not meeting the predetermined relationship. A semantic feature between the second term and the associated first term is identified in the domain corpus and linked to the pair of the second term and the first term in the augmented knowledge graph. The augmented knowledge graph is useable by a second computing device, which may or may not be the same as the first computing device, to drive a conversation between a chatbot and user.

    MULTI-MODAL CONVERSATIONAL AGENT PLATFORM

    公开(公告)号:US20220036899A1

    公开(公告)日:2022-02-03

    申请号:US17500352

    申请日:2021-10-13

    Applicant: Vui, Inc.

    Abstract: A method includes receiving data characterizing an utterance of a query associated with a tenant; providing, to an automated speech recognition engine, the received data and a profile selected from a plurality of profiles based on the tenant, the profile configuring the automated speech recognition engine to process the received data; receiving, from the automated speech recognition engine, a text string characterizing the query; and processing, via an ensemble of natural language agents configured based on the tenant, the text string characterizing the query to determine a textual response to the query, the textual response including at least one word from a first lexicon associated with the tenant. Related systems, methods, apparatus, and computer readable mediums are also described.

    Semantic translation of data sets
    100.
    发明授权

    公开(公告)号:US11238084B1

    公开(公告)日:2022-02-01

    申请号:US15645574

    申请日:2017-07-10

    Abstract: A method may include accessing a semantic map between a schema of a relational database (RDB) and a resource description framework (RDF) data model, the semantic map defined according to a first semantic ontology; applying the semantic map to data loaded from the RDB to generate a first set of semantic objects; storing the first set of semantic objects in a staging RDF triplestore; executing a script to transform the first set of semantic objects into a second set of semantic objects according to a second semantic ontology; and storing the second set of semantic objects into a production RDF triplestore.

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