The proper visualization of a business process plays a key role in analyzing, changing, simulating and monitoring the business process. Most BPMS systems today, provide a modeling environment where the business user can define and visualize business processes as BPMN diagrams. Some more advanced systems (such as Savvion Business Manager) enable monitoring of the business process at run-time via a color-coded view of the process diagram. While process diagram is an important view of the process, it lacks the level of abstraction needed to provide information in an optimal way to the business users. The proposed visualization, called the 360 degree view provides an optimal view of a business process without losing important details about the process.

Described are methods, systems and computer readable media for GUI control elements and associated processing methods.

Described are methods, systems and computer readable media for GUI control elements and associated processing methods.

The present disclosure describes a system, method, and computer program for enabling text editing across multiple content blocks in a system. The system renders a workspace page including a plurality of content blocks in a user interface of a client application. The workspace page is rendered according to a hierarchical tree derived from the parent and child attributes of the content blocks on the workspace page. The system maintains an in-memory selection state for text selection in the client application. The system receives a user selection of text on the workspace page across a plurality of content blocks. The system updates the in-memory selection state to include a text selection range. The system receives a user edit to the selected text. The system identifies the plurality of content blocks within the text selection range. The system applies the user edit to the content blocks within the text selection range.

The present disclosure describes a system, method, and computer program for enabling text editing across multiple content blocks in a system. The system renders a workspace page including a plurality of content blocks in a user interface of a client application. The workspace page is rendered according to a hierarchical tree derived from the parent and child attributes of the content blocks on the workspace page. The system maintains an in-memory selection state for text selection in the client application. The system receives a user selection of text on the workspace page across a plurality of content blocks. The system updates the in-memory selection state to include a text selection range. The system receives a user edit to the selected text. The system identifies the plurality of content blocks within the text selection range. The system applies the user edit to the content blocks within the text selection range.

Described are methods, systems and computer readable media for data object publishing/subscribing via a multicast key-value protocol.

Described are methods, systems and computer readable media for data object publishing/subscribing via a multicast key-value protocol.

Embodiments of the present invention provide systems, methods, and computer storage media for sentence compression in which a provided sentence is compressed to fit within an allotted space. Portions of the input sentence are copied to generate the compressed sentence. Upon receipt of a sentence, top candidate compressed sentences may be determined based on probabilities of segments of the input sentence to be included in a potential compressed sentence. The top candidate compressed sentences are re-ranked based on grammatical accuracy scores for each of the candidate compressed sentences using a language model trained using linguistic features of words and/or phrases. The highest scoring candidate compressed sentence may be presented to the user.

Embodiments of the present invention provide systems, methods, and computer storage media for sentence compression in which a provided sentence is compressed to fit within an allotted space. Portions of the input sentence are copied to generate the compressed sentence. Upon receipt of a sentence, top candidate compressed sentences may be determined based on probabilities of segments of the input sentence to be included in a potential compressed sentence. The top candidate compressed sentences are re-ranked based on grammatical accuracy scores for each of the candidate compressed sentences using a language model trained using linguistic features of words and/or phrases. The highest scoring candidate compressed sentence may be presented to the user.

A label processing engine receives, as inputs, raw data representative of a label and baseline data, detects a raw data object within the raw data, classifies the raw data object, and localizes the raw data object within the raw data, detects a baseline data object within the baseline data, classifies the baseline data object, and localizes the baseline data object within the baseline data. The engine recognizes corresponding text within the raw data object and the baseline data object and extracts the corresponding text within the raw data object and the baseline data object, reassembles the corresponding text of the raw data object and the baseline data object into respective lines of text, compares the respective lines of text with one another, and issues a notification based on the comparison.