Method for retrieving a recommendation from a knowledge database of a ticketing system

A ticketing system adapted to retrieve a recommendation from a knowledge database in response to a received query regarding a power plant, a production line or a turbine, wherein the recommendation includes control data for automatically controlling the power plant, the production line or the turbine,

• said ticketing system comprising:
• a processor adapted to perform semantic similarity learning in textual description pairs by calculating similarity scores for similarities between the received query and a plurality of tickets stored in the knowledge database of said ticketing system, wherein each ticket of the plurality of tickets stored in the knowledge database comprises as a textual description a description text and a solution text, and wherein the received query comprises as a textual description a description text,
• wherein each textual description pair includes the textual description of the received query and the textual description of a ticket of the plurality of tickets stored in the knowledge database of said ticketing system,
• wherein the ticket having the maximum similarity score is identified and the solution text of the identified ticket is output as the retrieved recommendation for the received query by said ticketing system,
• wherein internal states of the power plant, the production line or the turbine are monitored and queries concerning an abnormal behavior of the power plant, the production line or the turbine are generated automatically depending on the monitored state of the power plant, the production line or the turbine, and
• wherein the solution of the identified ticket read from the knowledge base as the retrieved recommendation for the received query comprises control data of the identified ticket which is used to automatically control the power plant, the production line or the turbine to address the abnormal behavior of the power plant, the production line or the turbine.