Multi-Dimensional Query Expansion Employing Semantics and Usage Statistics

摘要

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.

主权项

1. A computer-implemented method comprising:
providing a query expansion system comprising an engine and a data warehouse; causing the query expansion system to receive a query posed by a user to the data warehouse; causing the engine to determine a co-occurrence value for the query in the data warehouse based upon social/trust network information taking into account a relationship of the user to another entity in a social/trust network, wherein determining the co-occurrence value comprises applying a weight based upon a distance of the another entity from the user in the social/trust network information; and causing the query expansion system to display to the user a query result based upon the co-occurrence value.