XSACT: A comparison tool for structured search results

Ziyang Liu, Sivaramakrishnan Natarajan, Peng Sun, Stephen Booher, Tim Meehan, Robert Winkler, Yi Chen

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1581-1584
Number of pages4
JournalProceedings of the VLDB Endowment
Volume3
Issue number2
StatePublished - Sep 1 2010
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Computer Science(all)

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