Sap Se

Sap Ag

Nicolas Kuchmann-Beauger

Raphael Thollot

Corentin FollenFant

Marie-Aude Aufaure

Falk Brauer

Embodiments relate to systems and methods employing personalized query expansion to suggest measures and dimensions allowing iterative building of consistent queries over a data warehouse. Embodiments may leverage one or more of: semantics defined in multi-dimensional domain models, user profiles defining preferences, and collaborative usage statistics derived from existing repositories of Business Intelligence (BI) documents (e.g. dashboards, reports). Embodiments may utilize a collaborative co-occurrence value derived from profiles of users or social network information of a user.

Multi-dimensional query expansion employing semantics and usage statistics

A framework for a question and answering (Q&A) system defines a mapping of recognized semantics of user questions, to a well structured query model that can be executed on arbitrary data warehouses. Embodiments may utilize a plugin-based architecture, with various elements responsible for: extracting information from a user's question, formulating and executing a structured query, and post-processing a result by rendering a chart. Plugins within a certain processing step may be executed independently of one another, imparting a significant degree of parallelism. The framework may build on top of natural language processing technologies, and in particular embodiments may be based upon established standards (e.g. RDF and SparQL) thereby allowing adaptation to a variety of domains and use cases.

Question answering framework for structured query languages

A question is received to be answered by a question answering (QA) system. The question may be a business intelligence question that is expressed in a natural language. The question is parsed. The parsed question is matched to a pattern from a number of patterns. A technical query associated with the matched pattern is processed to retrieve data relevant to the question from a number of data sources. The QA system generates an answer to the question based on retrieved data. In one aspect, the QA system generates answers based contextual information.

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Nicolas Kuchmann-Beauger