A method, computer system, and a computer program product may perform document reference and reference update. One or more processors may assign marker information for a reference of a reference source. The reference may reference a target portion of a target document. The one or more processors may determine identification information for the target portion. The determined identification information may be based on content in the target portion and context information for the target portion in the target document. The one or more processors may generate a mapping of at least the marker information, the identification information, and a relative location of the target portion within the target document for use in the referencing of the target portion by the reference source.

A method, computer system, and a computer program product may perform document reference and reference update. One or more processors may assign marker information for a reference of a reference source. The reference may reference a target portion of a target document. The one or more processors may determine identification information for the target portion. The determined identification information may be based on content in the target portion and context information for the target portion in the target document. The one or more processors may generate a mapping of at least the marker information, the identification information, and a relative location of the target portion within the target document for use in the referencing of the target portion by the reference source.

Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.

Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.

System and method for displaying an encoded standard-formatted image with information including, but not limited to, geospatial information. This information, possibly in mark-up language format, can be quickly accessed and used to modify the image to which it is appended, or it can be ignored because the image itself remains unchanged.

Embodiments are directed towards generating an interactive target document based on a static source document. The source document may be a textbook. An interactive, animated, multi-dimensional, and/or multi-layered target document is generated that documents the source document. The target document may include accompanying audio that includes speech in virtually any natural language, independent of the native language of the source document. The target document may be a presentation document (e.g. a slide deck), a video document (e.g. a movie), a report, a desktop application, a mobile application, a word processing document, a web page, an e-book, a spreadsheet, or the like. The target document may be generated automatically to document, expand upon, and provide a greater context and interpretation of the contents of the source document (i.e. the source document contents or simply the source contents). Thus, the target document may be a documentary of the source document.

Embodiments are directed towards generating an interactive target document based on a static source document. The source document may be a textbook. An interactive, animated, multi-dimensional, and/or multi-layered target document is generated that documents the source document. The target document may include accompanying audio that includes speech in virtually any natural language, independent of the native language of the source document. The target document may be a presentation document (e.g. a slide deck), a video document (e.g. a movie), a report, a desktop application, a mobile application, a word processing document, a web page, an e-book, a spreadsheet, or the like. The target document may be generated automatically to document, expand upon, and provide a greater context and interpretation of the contents of the source document (i.e. the source document contents or simply the source contents). Thus, the target document may be a documentary of the source document.

Described herein are systems, method and devices for modifying web pages to enhance their performance. In certain non-limiting embodiments, improved resource consolidation techniques are described, which are sometimes referred to herein as ‘progressive’ consolidation. Such techniques can be used to consolidate page resources in a way that allows a client browser or other application to process each of the consolidated resources after it arrives, even if all the client has not fully retrieved all of the consolidated resources yet. The teachings hereof can be used, for example, to modify a markup language document (HTML) to consolidate CSS, JavaScript, images, or other resources referenced therein.

Disclosed are various embodiments relating to generating portions of network pages associated with a network site, where the portions of the network pages are generated by page generation code that uses a subset of aggregated data provided to it. A request for a network page is received from a first party. Data is aggregated from one or more data sources in response to the request. Each data source provides multiple data items using a multipart encoding. Page generation code supplied by the first party is executed to generate at least a portion of the network page in response to receiving a subset of the data which is used by the page generation code. The page generation code is able to access the subset of the data as predefined variables.

A system can effectively compress instrumentation data related to a page view on a client-side application thread (such as a web browser thread) and communicate the compressed data over the Internet to a server (such as an analytics server). Leading up to the compression, the system can include data scanning, code building, code encoding, and code serialization. The compression can run on a background thread of the client-side application, so that it does not interfere with other processes run by the client-side application. For example, a web worker can implement the code compression described herein.