A method of facilitating engineering of an industrial system, the method comprising: generating a query based on at least one of a user input and a user interaction with a Graphical User Interface configured to enable engineering of the industrial system; mapping the query to a knowledge database (140, 240) comprising engineering-data generated across multi-disciplinary platforms associated with at least one of design, engineering, commissioning, operation and maintenance of the industrial system, wherein the engineering-data is made available by one or more crawlers (122, 222-228) associated with the multi-disciplinary platforms and wherein the engineering-data is indexed in the knowledge database (140, 240) based on an engineering ontology of the industrial system; and displaying a notification (116, 172) on the GUI with a response to the query, consequent to at least one of the user input and the user interaction, wherein the response comprises at least a list of engineering-data related to the query, wherein the notification comprises at least recommendation to further engineering of the industrial system, characterized in that the knowledge database (140, 240) is a knowledge graph database generated by indexing the engineering-data based on key-value pairs and the engineering ontology, wherein the key-value pairs are generated between entities identified in the engineering-data and the engineering-data and wherein the key-value pairs are generated for the engineering-data and the user actions by: analyzing unstructured data in the engineering-data and the user actions by extracting the entities referenced in the user actions and by tokenizing text in the unstructured data, wherein the user actions are monitored and indexed by the crawlers (122, 222-228), wherein the response further comprises a confidence quotient for each of the related engineering-data in the list based on a number of ontological hops, and wherein the related engineering-data is ranked within the list based on a number of ontological hops. generating a query based on at least one of a user input and a user interaction with a Graphical User Interface configured to enable engineering of the industrial system; mapping the query to a knowledge database (140, 240) comprising engineering-data generated across multi-disciplinary platforms associated with at least one of design, engineering, commissioning, operation and maintenance of the industrial system, wherein the engineering-data is made available by one or more crawlers (122, 222-228) associated with the multi-disciplinary platforms and wherein the engineering-data is indexed in the knowledge database (140, 240) based on an engineering ontology of the industrial system; and displaying a notification (116, 172) on the GUI with a response to the query, consequent to at least one of the user input and the user interaction, wherein the response comprises at least a list of engineering-data related to the query, wherein the notification comprises at least recommendation to further engineering of the industrial system, characterized in that the knowledge database (140, 240) is a knowledge graph database generated by indexing the engineering-data based on key-value pairs and the engineering ontology, wherein the key-value pairs are generated between entities identified in the engineering-data and the engineering-data and wherein the key-value pairs are generated for the engineering-data and the user actions by: analyzing unstructured data in the engineering-data and the user actions by extracting the entities referenced in the user actions and by tokenizing text in the unstructured data, wherein the user actions are monitored and indexed by the crawlers (122, 222-228), wherein the response further comprises a confidence quotient for each of the related engineering-data in the list based on a number of ontological hops, and wherein the related engineering-data is ranked within the list based on a number of ontological hops. analyzing unstructured data in the engineering-data and the user actions by extracting the entities referenced in the user actions and by tokenizing text in the unstructured data, wherein the user actions are monitored and indexed by the crawlers (122, 222-228), wherein the response further comprises a confidence quotient for each of the related engineering-data in the list based on a number of ontological hops, and wherein the related engineering-data is ranked within the list based on a number of ontological hops.