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Thomas Finke

Florian Kresser

Daniel Buchmann

Thomas Mueller

Hans-Martin Ludwig

Karl Fuerst

Marieta Koch

Juergen Hofmann

Ionut Istrate

Erika Fonseca De Lima

Methods and apparatus are disclosed for building a library of custom named entities for a database environment and using the library for processing natural language search queries. At configuration time, custom named entities are extracted or derived from a search model or the database environment. Records for the custom entities with associated database unique identifiers and tags are stored in a library. Custom entities can be based on labels of database objects, variants thereof, or domain values. At search time, a natural language query is tokenized and matched with custom entities from the library, and with other predefined named entities, to obtained structured search descriptors. For more efficient search, compound entities can be identified in the search string, comprising a custom entity and a value, or a custom entity and another token sequence. Variations and examples are disclosed.

Custom named entities and tags for natural language search query processing

A system and method for modeling cross system content between a hub and one or more backend systems is disclosed. Model content of one or more data models is stored in a model stack defined in a storage. The model content of each data model includes model metadata representing a model of a backend system. Cross model content is stored in a cross model stack. The cross model content includes reference metadata representing one or more references associated with a data model of one backend system and that reference a data model of another backend system. Central cross model content is stored in a central cross model stack. The central cross model content includes one or more cross elements that do not belong to the model content of any of the data models, and that establish a connection between two data models of different backend systems.

Storing data models together

A system and method for handling of cross-system metadata in a system landscape with a hub and backend systems is presented. Reference metadata that is associated with a first backend system and that refers to metadata of a second backend system is stored in a storage associated with the first backend system, the storage further separately storing backend system metadata that is associated only with the first backend system. Connecting metadata, which establishes a connection between backend system metadata associated with the first backend system and backend system metadata of any other backend system, is stored separately. At, the first backend system is linked to the hub by the connecting metadata from storage associated with the first backend system to a hub storage associated with the hub. The connecting metadata is activated in the hub to link the first backend system with the second backend system.

Handling of cross-system metadata in a system landscape with a hub and backend-systems

A system and method for establishing cross-relationships between objects is presented. A primary search is executed on a first object. A set of tagger identifiers is then determined based on the primary search. Each tagger identifier includes an internal instance key and one or more attributes of a match with the first object related to the primary search, and each tagger identifier of the set of tagger identifiers provides data for a secondary search. The secondary search is then executed on each of a secondary object that is tagged by the first object scanned by the primary search, the secondary search using the internal instance key and one or more attributes of the match with the first object.

Automatic tagging between structured/unstructured data

Methods and apparatus, including computer program products, for authorization controlled searching. In general, a search request is received, a database data structure is searched where the data structure is populated with records that include data and criteria for authorization to access the data, and a set of results is presented to a user, where the set of results includes data from the data structure for which a user is authorized the criteria is used to determine which results to include in the set of results. The criteria for authorization to access the data may be simple or complex, and may be based on a formation of associations from multiple layers of associations.

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Hockenheim, Germany

Thomas Finke