A method and system for generating an automation engineering project in a technical installation is provided. The method includes receiving, by a processing unit, a request to generate an automation engineering project for a technical installation. The method further includes generating a first name graph based on the information about the hardware configuration associated with the automation engineering project. The method further includes generating, by the processing unit, a second name graph based on the analysis of the one or more modifications of the hardware configuration of the technical installation. The method further includes generating, by the processing unit, the automation engineering project from the plurality of engineering objects based on a comparison of the first name graph and the second name graph.

Systems and methods described herein can take advantage of the caching abilities of the browser and the idle time of the user to prefetch tag libraries of one or more tags for execution in a subsequent content page. For example, these systems and methods can provide the ability to prefetch and not execute a tag library on a content page before it is required so the tag library is cached in the browser. When the browser hits the page that uses the tag library, the tag library can be quickly retrieved from memory and executed.

Systems and methods described herein can take advantage of the caching abilities of the browser and the idle time of the user to prefetch tag libraries of one or more tags for execution in a subsequent content page. For example, these systems and methods can provide the ability to prefetch and not execute a tag library on a content page before it is required so the tag library is cached in the browser. When the browser hits the page that uses the tag library, the tag library can be quickly retrieved from memory and executed.

Ontology-based semantic rendering is performed by retrieving a rendering script from a location represented by an ontology reference of a concept of content included in a document, the document further including an ontology dataset identifier of the concept and the ontology reference, and rendering the concept of content according to the rendering script and a mode of rendering represented by a rendering device.

Ontology-based semantic rendering is performed by retrieving a rendering script from a location represented by an ontology reference of a concept of content included in a document, the document further including an ontology dataset identifier of the concept and the ontology reference, and rendering the concept of content according to the rendering script and a mode of rendering represented by a rendering device.

Ontology-based semantic rendering is performed by retrieving a rendering script from a location represented by an ontology reference of a concept of content included in a document, the document further including an ontology dataset identifier of the concept and the ontology reference, and rendering the concept of content according to the rendering script and a mode of rendering represented by a rendering device.

Ontology-based semantic rendering is performed by retrieving a rendering script from a location represented by an ontology reference of a concept of content included in a document, the document further including an ontology dataset identifier of the concept and the ontology reference, and rendering the concept of content according to the rendering script and a mode of rendering represented by a rendering device.

System and methods (100) for automatically tagging electronic documents are disclosed. An input module receives (102) an electronic document to be tagged. A preprocessing module then preprocesses (104) the electronic document to be tagged. The preprocessing of the electronic document comprises extracting a text from the electronic document to be tagged, replacing a number or a date in the extracted text with a predetermined symbol, and tokenizing the extracted text with the predetermined symbol into a plurality of tokens. After the preprocessing (104), a deep learning module determines (106) a tag for at least one of the plurality of tokens. The determined tag for the at least one token is then output (108) by an output module.

System and methods (100) for automatically tagging electronic documents are disclosed. An input module receives (102) an electronic document to be tagged. A preprocessing module then preprocesses (104) the electronic document to be tagged. The preprocessing of the electronic document comprises extracting a text from the electronic document to be tagged, replacing a number or a date in the extracted text with a predetermined symbol, and tokenizing the extracted text with the predetermined symbol into a plurality of tokens. After the preprocessing (104), a deep learning module determines (106) a tag for at least one of the plurality of tokens. The determined tag for the at least one token is then output (108) by an output module.

Disclosed embodiments provide a framework for provisioning a virtual browser application environment accessible using a native browser application. The virtual browser application environment is implemented on a virtual machine instance, where the virtual environment is isolated from other functionality of the virtual machine instance. In response to a request to access the environment, a set of access control policies are identified. The access control policies define a level of access to actions that can be performed within the environment. The environment is presented through a website executed on a user's native browser application. The user's interactions with the environment and with any other users within the environment are monitored in real-time according to the access control policies.