Business Objects Software Limited

Sap Se

Xiaohui Xue

Mokrane Amzal

Mythili Gopalakrishnan

Pierre Saurel

Peter Snowdon

Alexis Naibo

Bruno Dumant

Christian Mathis

Louis Rakotoarivony

Kevin Le Fur

Florent Vermeulen

Steffen Lutter

Stephane Le Cam

Alexis Madinier

Mythili Gopalakrishman

Samy Mechiri

Jens Boening

Karsten Schmidt

Automation of robotic process automation design may be improved by integrating machine learning. A screenshot of a user interface of an application to be automated is captured. Then a selection of an area of the screenshot is determined. The area is provided as input to a document information extraction machine learning model configured to output labels and coordinates for user interface elements in the area. Labels for respective user interface elements of the one or more user interface elements and a respective set of coordinates are identified for each of the user interface elements. The user interface elements and respective criteria are declared as robotic process automation entities in a robotic process automation object model. Actions are assigned to the robotic process automation elements. And then the actions are performed on the application to be automated based on the respective criteria for the robotic process automation elements.

Machine learning integration in robotic process automation

Systems and methods include determination of a code package for publication to a repository, determination of an existing workflow, where the code package is to be published as a configuration of the existing workflow, determination of metadata of the existing workflow, determination of one or more applications associated with the configuration and, for each of the one or more applications, an edition associated with the configuration, and storage of the code package as the configuration in the repository in association with the metadata and identifiers of the one or more applications and associated editions.

Smart grouping of code packages

A system includes reception of a first query from a first user, identification, in response to reception of the first query, of a first plurality of data entries, each of the first plurality of data entries associating the first user, the first query and a respective visualization type with a respective counter value, determination of one of the first plurality of data entries associated with a greatest respective counter value of the counter values of the first plurality of data entries, determination of a respective visualization type of the one of the first plurality of data entries, and presentation of a visualization of the determined visualization type of a first result set corresponding to the first query.

Query-based determination of data visualization

A system includes acquisition of data from a first data source, identification of logical entities of a first data model of the first data source based on the data of the first data source, identification, for one or more of the logical entities of the first data model, of a respective knowledge vault entity described by first metadata, and generation of second metadata describing a plurality of semantic layer entities, the second metadata describing a semantic layer entity comprising at least one semantic attribute of a knowledge vault entity corresponding to the semantic layer entity.

Knowledge-driven generation of semantic layer

A system includes reception of a first request from a client application to create an application runtime associated with a tenant of the client application, creation, in response to the first request, of metadata describing configuration information of the application runtime, reception of a second request from the client application to start a session of the application runtime, starting, in response to the second request, of a first application runtime instance in a first container of a first virtual machine based on the configuration information of the application runtime, and return of first connection information to the client application, the first connection information usable by the client application to communicate with the first application runtime instance.

Cloud integration of application runtime

A system includes presentation of a visualization of a result set, the visualization including a plurality of graphical representations, each of the plurality of graphical representations associated with a respective data point comprising at least one dimension value and at least one measure of the result set, reception of a selection of a first data point of the plurality of data points, presentation of an interface to receive a one or more comments in response to selection of the first data point, reception of a first one or more comments, and storage, in response to reception of the first one or more comments, of an identifier of the first data point in association with the first one or more comments.

Shared comments for visualized data

A system, method, and computer-readable medium, including receiving a user-supplied expression for which a definition is sought; generating, in response to reception of the user-supplied expression, at least one suggested definition specifying a meaning for the user-supplied expression, the at least one suggested definition being generated based on, at least in part, a knowledge base of metadata associated with a data set; presenting the at least one suggested definition, as at least one keyword, to a user; receiving, in response to the presentation, an indication of one user-selected keyword from the at least one suggested definition; defining the user-selected keyword by at least one value; and persisting the defined user-selected keyword with the at least one value in the knowledge base for the data set.

Metadata enrichment with a keyword definition editor

A system includes reception of a first query, the first query comprising at least one of one or more dimensions and one or more measures, identification, in response to reception of the first query, of a first stored query set associated with the first query, the first stored query set comprising a plurality of queries, determination, in response to identification of the first stored query set, of a first plurality of result sets, each of the first plurality of result sets comprising a respective result set of the first query and each query of the plurality of queries, and presentation of a visualization of each of the first plurality of result sets.

Pattern-based query result enhancement

According to some embodiments, information may be received about a non-relational database object, such as an InfoSet, InfoSet query, or Advanced Business Application Programming ('ABAP') function for an enterprise resource planning system. The non-relational database object may then be mapped into a relational database model, such as a model associated with a business intelligence platform. As a result, Structured Query Language ('SQL') inputs from a business intelligence platform may be used create reports based on information in an enterprise resource planning system.

Mapping non-relational database objects into a relational database model

A system and method for generating a database management system (DBMS) internal program language function from a foreign program language function. The method includes loading the foreign function into a DBMS server, an internal program module unit, examining the foreign function to determine whether the foreign function is annotated for translation, if annotated determining if the foreign function is translated into an internal program language function and executing the internal program language function, else compiling the foreign function into an internal function. If the foreign function is not annotated for translation, executing the foreign program language function. The DBMS system includes a parsing unit, a type inference unit, a normalizer unit, a serializer unit, and a deployer unit. A computer readable medium is also disclosed.

System and method for translating business application functions into DBMS internal programming language procedures

A method for querying an Open Data Protocol ('opendata') opendata provider includes receiving a relational database query, parsing the relational database query, creating an execution plan, transmitting an opendata query to the opendata provider, transforming a response into a relational format, and providing the transformed response in reply to the relational database query. The method further includes mapping content of an opendata entity data model to a relational model catalog, and processing a portion of the execution plan by an opendata driver implemented at the server. The method can further include the server retrieving document metadata from the opendata provider, building an internal model of the document metadata, and responding to a metadata request. A system for implementing the method and a non-transitory computer readable medium are also disclosed.

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Courbevoie, France

Xiaohui Xue