Department of Computer Engineering
S E M I N A R
SEDA: Search Driven Analysis of Heterogenous XML Data
Research Staff Member
IBM Almaden Research Center
Analytical processing on XML repositories is usually enabled by designing complex data transformations that shred the documents into a common data warehousing schema. This can be very time-consuming and costly, especially if the underlying XML data has a lot of variety in structure, and only a subset of attributes constitutes meaningful dimensions and facts. Today, there is no tool to explore an XML data set, discover interesting attributes, dimensions and facts, and rapidly prototype an OLAP solution. In this talk, we will describe a system, called SEDA that enables users to start with simple keyword-style querying, and interactively refine the query based on result summaries. SEDA then maps query results onto a set of known, or newly created, facts and dimensions, and derives a star schema and computes the corresponding data mart to be analyzed further with an an off-the-shelf OLAP tool.
DATE: 30 September,2009, Wednesday @ 14:40
PLACE: EA 409