Ng Tari
Luis Babaji Ng Tari, Glenville, NY US
Patent application number | Description | Published |
---|---|---|
20140163955 | System and Method For Extracting Ontological Information From A Body Of Text - A system for extracting ontological information from a body of text includes an input module configured to receive a verb phrase. The system also includes a parsing module configured to parse one or more sentences from the body of text into parse tree format to generate a set of parsed sentences. The system further includes a named-entity-recognition module configured to identify a subset of parsed sentences from the set of parsed sentences, identify a subset of noun phrases from the subset of parsed sentences, classify a first noun phrase in subset of noun phrases as an entity, and classify a second noun phrase in subset of noun phrases as a property. The system also includes a concept-extraction module configured to identify and output a conceptual relationship between the first entity and the first property based at least partially on grammatical relationship of the first entity and the first property. | 06-12-2014 |
Luis Babaji Ng Tari, Schenectady, NY US
Patent application number | Description | Published |
---|---|---|
20140324908 | METHOD AND SYSTEM FOR INCREASING ACCURACY AND COMPLETENESS OF ACQUIRED DATA - The present disclosure relates to the use of both semantic analysis and statistical text mining to process data records, improving the completeness and accuracy of records so processed. By way of example, a data record may be iteratively processed by text mining using seeds derived from a semantic template and by validating the results based on semantic reasoning based on the semantic template. | 10-30-2014 |
Luis Babaji Ng Tari, Niskayuna, NY US
Patent application number | Description | Published |
---|---|---|
20160078016 | INTELLIGENT ONTOLOGY UPDATE TOOL - Systems, methods and computer program products to automate the process of ontology updates in radiology software are provided. In one aspect, the present disclosure analyzes the textual data describing the radiology exams and identifies terms that are not defined in the existing ontology. It then extracts various types of statistical patterns, such as neighboring concepts, from the textual data, and infers which concepts the unrecognized terms belong to. Finally it presents rank-ordered ontology updating suggestions to the user for final confirmation. The system, methods, and computer program products of the present disclosure are an effective way in updating ontologies, requiring the users to have little, or no prior experience in ontology management or understanding of the underlying ontology structure. | 03-17-2016 |