Abstract: Techniques for generating application interfaces based on semantic-level data are described herein. Application developers may semantically define an application flow. Based on the definition, a system may identify a template of a multipage navigable interface that is compatible with the flow. If multiple templates are compatible, then a template may be recommended or automatically selected based on the semantic information provided by the developer. The system may generate, based on the template and the semantic definition, a multipage navigable interface. The template may encapsulate some design and functional elements in a manner that is independent of the semantic definition.

Abstract: Techniques for suggesting a filter field based on a user input are disclosed. A system trains a machine learning model by obtaining historical data including sets of user search input, including a first search term and a first value for a first filter field. Based on the historical data, the system trains the machine learning model to associate the first filter field with the first search term. The system receives a first query for execution. The system applies the machine learning model to the first query to identify the first filter field as a suggestion. The system: recommends the first field for filtering a first set of search results corresponding to the first query. Responsive to receiving user input selecting a first value for the first filter field, the system filters using the first value to generate a set of filtered search results, and presents the filtered search results.

Abstract: Techniques for suggesting filters for query terms based on previously selected query results are disclosed. Common characteristics of previously selected query results are presented as a filter. A system trains a machine learning model by obtaining historical data including query characteristics and selected query results. Based on the historical data, the system trains the machine learning model to associate the first filter field with the first search term. The system receives a first query for execution. The system applies the machine learning model to the first query to identify the first filter field as a suggestion. The system: recommends the first field for filtering a first set of search results corresponding to the first query. Responsive to receiving user input selecting a first value for the first filter field, the system filters using the first value to generate a set of filtered search results, and presents the filtered search results.

Abstract: Techniques for suggesting a filter field based on a user input are disclosed. A system trains a machine learning model by obtaining historical data including sets of user search input, including a first search term and a first value for a first filter field. Based on the historical data, the system trains the machine learning model to associate the first filter field with the first search term. The system receives a first query for execution. The system applies the machine learning model to the first query to identify the first filter field as a suggestion. The system: recommends the first field for filtering a first set of search results corresponding to the first query. Responsive to receiving user input selecting a first value for the first filter field, the system filters using the first value to generate a set of filtered search results, and presents the filtered search results.

Abstract: Techniques for suggesting filters for query terms based on previously selected query results are disclosed. Common characteristics of previously selected query results are presented as a filter. A system trains a machine learning model by obtaining historical data including query characteristics and selected query results. Based on the historical data, the system trains the machine learning model to associate the first filter field with the first search term. The system receives a first query for execution. The system applies the machine learning model to the first query to identify the first filter field as a suggestion. The system: recommends the first field for filtering a first set of search results corresponding to the first query. Responsive to receiving user input selecting a first value for the first filter field, the system filters using the first value to generate a set of filtered search results, and presents the filtered search results.

Abstract: Techniques for generating application interfaces based on semantic-level data are described herein. Application developers may semantically define an application flow. Based on the definition, a system may identify a template of a multipage navigable interface that is compatible with the flow. If multiple templates are compatible, then a template may be recommended or automatically selected based on the semantic information provided by the developer. The system may generate, based on the template and the semantic definition, a multipage navigable interface. The template may encapsulate some design and functional elements in a manner that is independent of the semantic definition.

Abstract: Embodiments of the present invention are directed to providing a user interface including a dynamic visualization of an entire current context of a user, which facilitates understanding and communicating the business knowledge in collaborative business processes. According to embodiments of the present invention, these visualizations can be context sensitive and dynamically adapted to the business process metadata, user's roles, user's location, and the applicable tasks. Embodiments of the present invention provide visualizations of the evolution of the entire context including digital information and the relationships between changed items. These visualizations can include but are not limited to a 360 view, a network/dependency view, and a time-based view.

Abstract: A system of displaying hierarchical information in a user interface includes displaying a first plurality of icons aligned in a first arc course on a display device, selecting one of the first plurality of icons using a user input device, rotating the first plurality of icons to position the selected one of the first plurality of icons to a front position of the first arc course in response to the selecting to define a first selection indicator and displaying a second plurality of icons aligned along a second-level arc course, the second-level arc course displayed adjacent to and positioned co-axial with the first arc course, and the second plurality of icons representing sub-hierarchical data for the first selection indicator.

Abstract: Embodiments of the present invention are directed to providing a user interface including a dynamic visualization of an entire current context of a user, which facilitates understanding and communicating the business knowledge in collaborative business processes. According to embodiments of the present invention, these visualizations can be context sensitive and dynamically adapted to the business process metadata, user's roles, user's location, and the applicable tasks. Embodiments of the present invention provide visualizations of the evolution of the entire context including digital information and the relationships between changed items. These visualizations can include but are not limited to a 360 view, a network/dependency view, and a time-based view.

Abstract: Embodiments of the invention provide systems and methods for providing a contextual visualization of business processes and related business data. According to one embodiment, a method for providing a contextual visualization of business processes and related business data can comprise generating a first canvas representing a first business process. The first canvas can comprise a collaborative, interactive environment accessible to one or more users and can provide access to business data of the first business process to the one or more users. One or more visual objects representing the business data of the first business process can be generated and added to the first canvas. The first canvas with the added one or more visual objects can be provided to the one or more users.

Abstract: A computer-implemented method of managing collaboration in an enterprise application includes creating an annotation that corresponds to at least a first document and a second document, the first document having a first document format and the second document having a second document format. The computer-implemented method can further include mapping the annotation to a workflow process. An annotation management system includes multiple document repositories to store documents, an annotation repository to store annotations, wherein each annotation references a document stored in a corresponding document repository, and an annotation application to allow collaborators to view at least some of the annotations, allow at least one of the collaborators to search the annotations, and allow at least one of the collaborators to apply a filter to the annotations.