Sap Se

Raghavendra Nagaraja

Ganesh Vaitheeswaran

Arindam Bhattacharjee

Manasa Ranjan Tripathy

Rahul Kumar Jha

Nithin Moolky Kamath

Pranav Acharya

Various examples are directed to converting a natural language query to a structured query. The natural language query may comprise a plurality of terms. A natural language system may generate a set of operators and a set of operands based at least in part on the plurality of terms and a metadata dictionary. The natural language system may generate an expression tree based at least in part on the set of operators and the set of operands. The expression tree may comprise a plurality of interconnected nodes. A first node may be associated with a first function corresponding to a first operator of the set of operators and a second node may be associated with a first argument of the first function corresponding to a first operand of the set of operands. The natural language system may generate a query based at least in part on the expression tree.

Natural language query generation

Methods, computer-readable media, and systems for managing business objects data sources. A search query that includes multiple query terms is received. Each query term at least partially represents metadata associated with one of multiple business objects data sources that each stores multiple data items. Multiple search index documents are searched to identify one or more business objects data sources that are each associated with metadata at least partially represented by each query term. Multiple metadata tables are searched to identify metadata associated with each identified business objects data source. The identified business objects data sources are searched for data items that satisfy the identified metadata. Representations of the data items and the metadata are provided in response to receiving the search query.

Managing business objects data sources

Methods, non-transitory computer-readable media, and systems for managing business objects data sources. Multiple business objects data sources, each storing multiple data items, are accessed. For each data source, multiple computer-searchable index documents and multiple metadata tables, including master tables and mapping tables, are generated. The multiple computer-searchable index documents and the multiple metadata tables are provided to perform a search for data items in the multiple business objects data sources.

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Raghavendra Nagaraja