Systems and methods for building automotive repair service domain models for processing automotive repair service enterprise data

A method for automotive repair service enterprises, the method comprising:

• identifying, by a natural language processor, that a computer-readable automotive repair service enterprise data represents terms of a natural human language that match one or more taxonomy terms within a defined taxonomy searchable by the natural language processor;
• associating, by the natural language processor, a meaning with the automotive repair service enterprise data based on the terms of the natural human language represented by the automotive repair service enterprise data that match the one or more taxonomy terms;
• generating, by the natural language processor, metadata that represents the meaning associated with the automotive repair service enterprise data;
• providing the metadata to a data processing machine for generating content based at least in part on the metadata;
• selecting a first set of features predetermined for the automotive repair service enterprise;
• performing a lookup by using a plurality of lists, the plurality of lists comprising at least one of an apriori knowledge and an aposteriori knowledge, the apriori knowledge comprising a set of predefined results, the aposteriori knowledge comprising expert training;
• applying a first set of feature rules comprising conditions for applying an action;
• and
• creating a first set of vectors, the first set of vectors relating to the first set of features and the first set of feature rules;
• wherein said automotive repair service enterprise data is specific to an automotive service enterprise;
• wherein said method comprises sending said automotive repair service enterprise data and/or said metadata to one or more of an importer module, an extraction module, a learning module, a classification module, a feedback module, a scoring module, and/or an export module;
• and
• wherein said automotive repair service enterprise data comprises automotive repair service information, as well as one or more of customer information, transaction information, support request information, automotive repair information, model year, make, model, submodel, engine, odometer, trouble code information, diagnostic code information, vehicle diagnostic information, service repair data, customer transactional data, information about symptoms, information about diagnoses, information about recommended actions, information about repairs, information about parts, information about problem reporting, automotive service records, service orders, and/or experience-based service information.

A computer system computing device comprising a processor and a computer-readable medium storing program instructions, that when executed by the processor, cause the computing device to perform a set of functions comprising:

• identifying that a computer-readable vehicle automotive repair service enterprise data represents terms of a natural human language that match one or more taxonomy terms within a defined taxonomy searchable by the processor;
• associating, by the processor, a meaning with the automotive repair service enterprise data based on the terms of the natural human language represented by the automotive repair service enterprise data that match the one or more taxonomy terms;
• generating, by the processor, metadata that represents the meaning associated with the enterprise data;
• providing the metadata to a data processing machine for generating content based at least in part on the metadata;
• selecting a first set of features predetermined for the enterprise;
• performing a lookup by using a plurality of lists, the plurality of lists comprising at least one of an apriori knowledge and an aposteriori knowledge, the apriori knowledge comprising a set of predefined results, the aposteriori knowledge comprising expert training;
• applying a first set of feature rules comprising conditions for applying an action;
• and
• creating a first set of vectors, the first set of vectors relating to the first set of features and the first set of feature rules;
• wherein said automotive repair service enterprise data is specific to an automotive repair service enterprise;
• wherein said functions comprise sending said automotive repair service enterprise data and/or said metadata to one or more of an importer module, an extraction module, a learning module, a classification module, a feedback module, a scoring module, and/or an export module;
• and
• wherein said automotive repair service enterprise data comprises automotive repair service information, as well as one or more of customer information, transaction information, support request information, automotive repair information, model year, make, model, submodel, engine, odometer, trouble code information, diagnostic code information, vehicle diagnostic information, service repair data, customer transactional data, information about symptoms, information about diagnoses, information about recommended actions, information about repairs, information about parts, information about problem reporting, automotive service records, service orders, and/or experience-based service information.