ARTIFICIAL INTELLIGENCE PLANNING INSTANTIATION USING NATURAL LANGUAGE PROCESSING

ARTIFICIAL INTELLIGENCE PLANNING INSTANTIATION USING NATURAL LANGUAGE PROCESSING

A method for natural language instantiation of a planning problem includes receiving, by a computer, a natural language representation of a user's schedule, the user's schedule including a plurality of activities, associating a plurality of biomedical parameters of the user with execution...

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Bibliographische Detailangaben
Hauptverfasser: Salamah, Muhammed, Moshkovich, Dany, Bnayahu, Jonathan, Tsitrin, Yan, Katz, Michael
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:A method for natural language instantiation of a planning problem includes receiving, by a computer, a natural language representation of a user's schedule, the user's schedule including a plurality of activities, associating a plurality of biomedical parameters of the user with execution of the plurality of activities to determine an effect of each activity on the plurality of biomedical parameters, based on the association of the plurality of biomedical parameters with the execution of the plurality of activities and a predefined evaluation criteria, calculating a quality score for the user's schedule, optimizing the user's schedule by performing a local search, based on a generic ontology, automatically constructing an ontology including information associated with the plurality of activities and the plurality of biomedical parameters of the user, and based on the constructed ontology, processing the natural language representation of the user's schedule.