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, and features a user-friendly interface that effectively interacts with the users to help them compare search results.
[1]
Ziyang Liu,et al.
Query biased snippet generation in XML search
,
2008,
SIGMOD Conference.
[2]
Yi Chen,et al.
Reasoning and identifying relevant matches for XML keyword search
,
2008,
Proc. VLDB Endow..
[3]
Andrei Broder,et al.
A taxonomy of web search
,
2002,
SIGF.
[4]
Yi Chen,et al.
Identifying meaningful return information for XML keyword search
,
2007,
SIGMOD '07.
[5]
Yi Chen,et al.
Structured Search Result Differentiation
,
2009,
Proc. VLDB Endow..