Techniques and solutions are provided for integrating master data from multiple applications. Master data from multiple applications can be integrated for use in processing data associated with internet of things (IOT) devices, such as by joining master data with timeseries data (including aggregated values). Integrating master data from multiple applications can include converting master data from a schema used by an application into an analytics schema. New or updated master data can be indicated in a message sent by an application. In processing the message, additional master data, or data used to determine how master data should be processed, can be retrieved.

A metadata aggregation system includes a computing platform having a hardware processor and a memory storing a software code including a trained entity matching predictive model trained using training data obtained from a reference database. The hardware processor executes the software code to obtain metadata inputs from multiple sources, conform the metadata inputs to a common format, match, using the trained entity matching predictive model, at least some of the conformed metadata inputs to the same entity, and determine, using the trained entity matching predictive model, a confidence score for each match. The software code further sends a request to one or more human editor(s) for confirmation of each match having a confidence score greater than a first threshold and less than a second threshold, and updates the reference database, in response to receiving a confirmation that at least one match is a confirmed match, to include the confirmed match.

A method includes: repeatedly executing a first processing configured to generate, in response to input of conversion examples of values set, a conversion program for converting values of records, convert the values of the records by executing the conversion program, and display a conversion result; and executing a second processing configured to select one or more second records from the records, each of the one or more records being a record on an upper side of a first record, the first record being a record for which a conversion example is added in second or subsequent input, determine whether a value of each second record is changed in a latest conversion result from a previous conversion result, and in response that a value of the second record is changed, cause the first processing to highlight a value of the second record in display of the latest conversion result.

An image file conversion method includes: obtaining an original image file of a virtual machine on an original platform; detecting whether the original image file has a first file characteristic and a second file characteristic that are corresponding to a target platform, wherein the first file characteristic comprises a target driver used when the virtual machine runs on the target platform, and the second file characteristic comprises a target file format supported by the target platform; and changing, in response to detecting that the original image file does not have at least one of the first file characteristic or the second file characteristic, the original image file by calling a predetermined interface, to obtain a target image file of the virtual machine on the target platform, wherein the target image file has the first file characteristic and the second file characteristic.

An improved system and method for sharing a document between two communication devices that do not have an application that can display the document. In one example, the document is sent by the communication device that is sharing the document to a document server for processing into pages of one or more different document types, and both communication devices retrieve the stored pages as needed for display. The sharing communication device updates the other communication device when a new page is to be retrieved from the document server.

A health information exchange (HIE) system and related methods for sharing patient medical data among a plurality of users. In one embodiment, the HIE system includes a processor executing a software application and one or more databases. Medical data may be downloaded by a first user to the system in a source file format. The system converts and stores the medical data in a data record such as an object having a different type of data structure. Upon receiving a request from a second user for the medical data in a specified destination file format, the system retrieves and converts the object containing the medical data into the specified destination file format, and sends the destination file to the second user. The source and destination file formats may be the same or different. In one embodiment, users may access and communicate with the HIE system via the Internet.

A method and system for uniformly processing logs of multiple formats under a security situation awareness system. The method includes defining a universal interface file and an interface file that corresponds to each device ID of each vendor; collecting log files of respective vendors; putting a file transfer protocol into the collected log files and the defined universal interface file; reading, when change of any log file is monitored, the log file line by line, and updating the log file through the file transfer protocol; identifying a corresponding device ID; screening out an interface file corresponding to the device ID; based on the screened interface file, converting the updated log file into an interpretable uniform format in terms of the universal interface file; and displaying graphically a log file resulted from the uniform format, and completing a uniform processing with respect to the logs of multiple formats.

A file management system may include a file server that performs calculations of a spreadsheet file instance to generate a dataset that includes values in the spreadsheet file instance. The file management system also may include an application operating at a client device that is in communication with the file server via a network. The application may receive, via the network, a version of the dataset comprising the values generated by the calculations performed by the server. The application may visualize a spreadsheet at the user interface. The visualized spreadsheet may display at least a subset of the values. In one case, protected contents of one or more cells in the spreadsheet may be converted to other values when displayed at the user interface.

A file management system may include a file server that performs calculations of a spreadsheet file instance to generate a dataset that includes values in the spreadsheet file instance. The file management system also may include an application operating at a client device that is in communication with the file server via a network. The application may receive, via the network, a version of the dataset comprising the values generated by the calculations performed by the server. The application may visualize a spreadsheet at the user interface. The visualized spreadsheet may display at least a subset of the values. In one case, protected contents of one or more cells in the spreadsheet may be converted to other values when displayed at the user interface.

A method, performed by a server, for aggregating data in from devices within a complex network including receiving, at a network interface, an end data from a data source wherein the end data includes a source field having a source value, determining, by a processor, a subset of a ruleset for the data source in response to a source stanza within the ruleset, generating, by the processor, a results data structure in response to the end data and the subset of the ruleset wherein the results data structure includes a destination field generated in response to the source field and a transform instruction in the subset of the ruleset and a destination value generated in response to the source value and the transform instruction in the subset of the ruleset, and storing, within a memory, a destination value and the destination field as a key value pair.