Sap Se

Katja Pfeifer

Richard Pilz

Tom Spiegler

Johannes Meinecke

Adrian Mocan

Gregor Hackenbroich

Andreas Doms

Eric Peukert

Jan Rittinger

Franz Josef Grueneberger

Konrad Voigt

Petko Ivanov

A system and method to query, update, and reduce a size of locking data for a dataset including a fixed plurality of dimensions each having a fixed plurality of members comprising index tables for the dimensions and a locks table specifying one of a fixed plurality of lock states for the plurality of members, where the fixed plurality of members each have an associated index.

Data locking

The present disclosure involves systems, software, and computer implemented methods for automatically extending a partially-editable dataset copy. One example method includes identifying, for a data set, extension filter criteria that extends a current filter that defines an editable portion of the data set. An extended filter is automatically generated for the data set based on the extension filter criteria and the current filter. Additional data is copied into the partially-editable copy of the data set based on the extended filter and the current filter to generate an updated partially-editable copy of the data set. The current filter is replaced with the extended filter to create a new current filter. An updated exposed view is generated using the new current filter that exposes the updated partially-editable copy of the data set and an updated non-editable portion of the data set.

Automatic extension of a partially-editable dataset copy

An aggregation service aggregates extraction results from diverse named entity recognition ('NER') services, which can help improve the quality of extracted information. In some cases, the aggregation service considers differences in entity type classifications when aggregating extraction results from different NER services. The aggregation service can also consider performance characteristics (e.g., error rates) for the different NER services. For example, the aggregation service receives extraction results generated for a document corpus according to an entity type schema for each of multiple different NER services, then aggregates the extraction results based at least in part on relations between entity types for the NER services. For a given annotation area, the computing system can identify hypotheses and rank the hypotheses according to an aggregation approach. For some types of aggregation approach, the computing system uses weight values, error path values and/or other performance characteristics determined during training for the NER services.

Aggregating results from named entity recognition services

A code generating framework generates code for a model Application Program Interface (API). The framework comprises three components: an API code generator, a serialization code generator, and a deserialization code generator. The API code generator generates code for a model API. This model API produces a first model instance version in a first language. Code from the serialization code generator converts the model instance into a second version in a different language accessible to other applications (e.g., graphical modeling editors). Code from the deserialization code generator converts the second version of the model instance back into the original language. In a particular embodiment, the code generation framework generates JavaScript/XSJS APIs for manipulating model instances compatible with the Eclipse Modeling Framework (EMF). Serialization and deserialization code generated by the framework, converts the JavaScript/XSJS model instance into XMI recognized by other applications built on top of EMF, and back again into JavaScript/XSJS.

Code generation framework for application program interface for model

A system and method of merging text analysis results. The system uses a set of three corrected, weakened Jaccard factors to determine whether the respective results of multiple text analysis operations are equal, subtypes of each other or associated with each other, in order to merge the results.

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Dresden, Germany

Katja Pfeifer