XSACT: A Comparison Tool for Structured Search Results

Studies show that about 50% of web search is for information exploration purpose, where a user would like to investigate, compare, evaluate, and synthesize multiple relevant results. Due to the absence of general tools that can effectively analyze and differentiate multiple results, a user has to manually read and comprehend potentially large results in an exploratory search. Such a process is time consuming, labor intensive and error prone. With meta information embedded, keyword search on structured data provides the potential for automating or semi-automating the comparison of multiple results. In this demo we present a system XSACT for differentiating search results on structured data. XSACT takes as input a set of structured results, and outputs a Differentiation Feature Set (DFS) for each result to highlight their differences within a size bound. The problem of generating DFSs with maximal differences is proved to be NP-hard. XSACT adopts efficient algorithms for DFS generation...

• Type: Journal
• Year: 2010
• Where: PVLDB
• Authors: Ziyang Liu, Sivaramakrishnan Natarajan, Peng Sun, Stephen Booher, Tim Meehan, Robert Winkler, Yi Chen
• Keywords: Exploratory Search, Information Exploration Purpose, PVLDB 2010, Structured