Abstract: Systems, methods, and computer storage media for handling failures in generating structured queries from natural language queries. One of the methods includes obtaining, through a natural language front end, a natural language query from a user; converting the natural language query into structured operations to be performed on structured application programming interfaces (APIs) of a knowledge base, comprising: parsing the natural language query, analyzing the parsed query to determine dependencies, performing lexical resolution, forming a concept tree based on the dependencies and lexical resolution; analyzing the concept tree to generate a hypergraph, generate virtual query based on the hypergraph, and processing the virtual query to generate one or more structured operations; performing the one or more structured operations on the structured APIs of the knowledge base; and returning search results matching the natural language query to the user.

Abstract: A method and apparatus for scoring a data feed is provided. A feed scoring system takes as an input a data summary file produced by the data feed processing engine. The data file contains field coverage data, attribute extraction data, and mapping data. The data file is processed by the feed scoring system to create a set of scores. The scores are organized and presented in a hierarchical manner.