Aspects of the disclosure relate to processing systems for performing just-in-time front end template generation using a logical DOM. A computing device may receive, from a web server host platform, an HTML page with a DOM structure. The computing device may parse the DOM structure to generate a logical DOM, which may include a key value store identifying dynamic elements to be updated based on data received from a data source different from the web server host platform. The computing device may receive, from a data source computer system, source data. The computing device may modify the logical DOM, based on the source data, by replacing the dynamic elements with corresponding values from the source data. This may produce a first updated real DOM. The computing device may render a first graphical user interface based on the first updated real DOM, and may display the first graphical user interface.

In one implementation, a data transformation engine is employed to analyze an incoming JSON schema syntax and use a best effort model to convert a plurality of JSON schemas to other types of schemas such as an XML schema. The model is configured to be adaptable and dynamic in order to convert as much of the JSON as possible. In addition, the conversion tool is configured to transform schemas to other technologies and allow for conversion errors within one or more error thresholds. Further, the system may be distributed standalone with no dependencies to other implementations, such as BPM implementations.

A transformation engine that enables content and information to be transformed from one format, a source format, to a format that is compatible with the requesting device, a destination format. Advantageously, various device types can access and share content via a network without concern as to the original format of the content. When a client device provides a request for content, the transformation engine identifies delivery characteristics of the client device, and identifies a source for the requested content. The transformation engine then transforms the source formatted content into a format identified through a best fit analysis of the delivery characteristics of the device.

Disclosed embodiments provide improvements in integration template generation. In embodiments, existing customer integration flows already created by users are analyzed using computer-implemented methods, and from these customer integration flows, templates are created that encapsulate the general patterns that are seen in existing customer integration flows. The customer integration flows are anonymized by removing proprietary and/or identifying data. The result is customer integration templates based on actual real-world usage, which can more accurately resemble the needs of customers as compared to traditional templates that are authored by someone envisioning how he thinks the applications will be linked together, but not based on how they actually are used. Disclosed embodiments can generate integration templates based on general patterns encountered by multiple users that serve as a good starting point for any user that wants to do similar integrations.

A system and method for a visual design system includes a memory, a processor, a page analyzer to extract business information of at least one data structure of at least one page of a visual application having an existing layout, to perform a semantic analysis of the extracted business information and to use the extracted business information to produce a business information layout and an associated business information signature; a database to store at least one layout and at least one associated layout signature where the layout signature represents a business information composition of the at least one layout, a signature comparer to perform a comparison of the associated business information signature of the at least one data structure with the associated layout signature of the at least one layout stored in said layout database and where the processor and the memory embody the page analyzer and the signature comparer.

A computerized system converts a webpage built on a legacy framework to a target framework. The system allows a user to identify and download one or more webpages for conversion. The system converts the webpage to XML and outputs in a data store, such as an XML file. The system parses and converts the XML file into big object file. The system, through conversion logic, converts the big object file into a target component market. The system then reports the conversion, including any processing logs and error files, to a user. The system report include highlighted errors from any step of the conversion along with automatically generated recommendations for error corrections.

A portion data structure representing a portion extracted from a formatted source document is described. A portion data structure contains a first subtree of nodes that is modeled after a second subtree of a complete hierarchical representation of the formatted source document. Explicit formatting attribute values are specified for nodes of the first subtree only where a value calculated for the formatting attribute in a node of the first subtree differs from a value calculated for the formatting attribute in the corresponding node in the second subtree at a time when the node of the first subtree descends from a reset node specifying standardized formatting attribute values. The contents of the portion data structure are usable to display the portion extracted from the formatted source document in a context other than the formatted source document.

The foregoing are among the objects attained by the invention which provides cloud native distributed, hierarchical methods and apparatus for the ingestion of data generated by a fully-instrumented manufacturing or industrial plants. The systems and methods employ an architecture that is capable of collecting and preliminarily processing data at the plant-level for self-learning detection of error (and other) conditions, and forwarding that data for more in depth processing in the cloud. The architecture takes into account the varied data throughput, storage and processing needs at each level of the hierarchy. The distributed and hierarchical system allows for the creation of a dynamic, real-time assessment of the behavior and health of assets and enables visibility and integrity into the design, manufacturing, operations and service of any asset. The use of that capability (referred to herein as PARCS) allows for Systemic Asset Intelligence within an asset, plant, system and/or an ecosystem.

With the scale of information available today along with the existing diverse channels of communication, manual processing of information is becoming a challenge and companies across industries are under tremendous pressure to lower transactional costs. Artificial Intelligence based automation of business transactions has seen regulatory hurdles due to probabilistic nature of the outcome. The main challenge lies in processing of transactions with unstructured information. Systems and methods of the present disclosure uses deterministic as well as probabilistic approaches to maximize accuracy. The larger use of deterministic approach with configurable components and ontologies helps to improvise accuracy, precision and reduce recall. The probabilistic approach is used when there is absence of quality information or less information for learning. Also, confidence indicators are provided at attribute level of data being processed and at each decision level.

A method includes parsing a text source document to construct a document node tree such that the document node tree includes text offsets indicating the location of the text within the text source document corresponding to each node of the document node tree. The method includes constructing, from the document node tree, a Document Object Model (DOM) and a view node tree that represents the DOM. The constructing of the view node tree includes mapping the view node tree to the document node tree. The method includes providing a running representation of the DOM such that DOM elements of the DOM are linked to the text within the text source document corresponding to the DOM elements via the view node tree and the document node tree.