Searching with XQ: The Exemplar query search engine

Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

We demonstrate XQ, a query engine that implements a novel technique for searching relevant information on the web and in various data sources, called Exemplar Queries. While the traditional query model expects the user to provide a set of specifications that the elements of interest need to satisfy, XQ expects the user to provide only an element of interest and we infer the desired answer set based on that element. Through the various examples we demonstrate the functionality of the system and its applicability in various cases. At the same time, we highlight the technical challenges for this type of query answering and illustrate the implementation approach we have materialized. The demo is intended for both researchers and practitioners and aims at illustrating the benefits of the adoption of this new form of query answering in practical applications and the further study and advancement of its technical solutions.

Original languageEnglish
Title of host publicationSIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data
PublisherAssociation for Computing Machinery
Pages901-904
Number of pages4
ISBN (Print)9781450323765
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 ACM SIGMOD International Conference on Management of Data, SIGMOD 2014 - Snowbird, UT, United States
Duration: 22 Jun 201427 Jun 2014

Conference

Conference2014 ACM SIGMOD International Conference on Management of Data, SIGMOD 2014
Country/TerritoryUnited States
CitySnowbird, UT
Period22/06/1427/06/14

Keywords

  • Exemplar queries
  • Labeled graphs
  • Query paradigms

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