Oracle International Corporation

Information Resources, Inc.

Narayan Madhavan Nayar

Ananth Venkata

Jacques Vigeant

Reginald A Hansbrough

Dustin Bauder

Wai On Lee

Scott Lawrence Neufeld

Anurag Garg

Douglas Ray Cosby

Rahul R Kamath

Matthew Lawrence Lontchar

Satish Gopalakrishna

Techniques are disclosed for querying, retrieval, and presentation of data. A data analytic system can enable a user to provide input, through a device to query data. The data analytic system can identify the semantic meaning of the input and perform a query based on the semantic meaning. The data analytic system can crawl multiple different sources to determine a logical mapping of data for the index. The index may include one or more subject areas, terms defining those subject areas, and attributes for those terms. The index may enable the data analytic system to perform techniques for matching terms in the query to determine a semantic meaning of the query. The data analytic system can determine a visual representation best suited for displaying results of a query determined by semantic analysis of an input string by a user.

Techniques for semantic searching

An example system and method for selectively conveying content via User Interface (UI) display screen sections of Business Intelligence (BI) software and for facilitating user interaction therewith, e.g., so as to impart usefulness or preference ratings thereto, which can then affect subsequently displayed content. An example method includes providing one or more UI controls enabling a user to provide an input query and to interact with resulting content (i.e., query results, also called search results), where the user interaction with the content provides information (e.g., context information) indicative of a usefulness or preference rating pertaining to the content; thereby enabling modifications to subsequently retrieved content in accordance with the usefulness or preference rating(s). Such rating(s) may be aggregated from plural users of an associated software application. Additional UI controls may provide options to selectively share relevant retrieved content with other users, such as nearby users that have the appropriate permissions to view the shared content.

Content display and interaction according to estimates of content usefulness

Various techniques are disclosed herein for storing and managing master data in hierarchical data systems. Several related concepts, embodiments, and examples are disclosed, including techniques for incremental rationalization in a hierarchical data model, techniques for implementing governance pools in a hierarchical data model, techniques for application materialization in a hierarchical data model, techniques for data intersection mastering in a hierarchical data model, techniques for change request visualization in a hierarchical data model, and techniques for hierarchy preparation in a hierarchical data model.

Data intersection mastering in hierarchical systems

An example system and method for selectively conveying content via User Interface (UI) display screen sections of Business Intelligence (BI) software. An example method includes displaying a UI display screen section within a UI display screen; providing a UI mechanism that allow specification of a condition; determining when the condition is met; and automatically redisplaying at least a portion of the UI display screen section in response to the determining, resulting in a redisplayed UI display screen section in response to the condition being met. The UI display screen section may include blogs or other activity feeds, visualizations, UI controls for manipulating the visualizations; for specifying conditions for redisplaying, i.e., bringing back the visualizations, etc.

Automatic redisplay of a user interface including a visualization

A technique for context-dependent annotations to database views may include receiving a query including a data selection criterion for retrieving data from a commercial data store, identifying a first view containing a first data set based on the query, displaying a result from the query to a user, and receiving annotation content from the user linked to data in the first view including view-related information to reconstruct the result as displayed to the user when the annotation content was received. The technique may also include receiving a query for a second view of the commercial data from a second user, where the second view includes at least a portion of the first data set, and presenting the second view of the commercial data to the second user, together with any of the annotation content associated with the portion of the first data set included in the second view.

Context-dependent annotations to database views

A first view of commercial data is presented to a first user. A data selection criterion is received from the user. A first data set is identified based on the selection criterion. Annotation content is received from the user. The annotation content and the first view of the commercial data is associated with the first data set. A query is received for a second view from a second user, in which the second view includes at least a portion of the first data set. The second view is presented to the second user, together with the annotations associated with the portion of the first data set included in the second view.

Growing community of inventors

Oak Park, IL, United States of America

Narayan Madhavan Nayar