demonstration

Searching with XQ: the exemplar query search engine

Authors:

Davide Mottin,

Matteo Lissandrini,

Yannis Velegrakis,

Themis PalpanasAuthors Info & Claims

SIGMOD '14: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data

Pages 901 - 904

https://doi.org/10.1145/2588555.2594529

Published: 18 June 2014 Publication History

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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.

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D. Mottin, M. Lissandrini, Y. Velegrakis, and T. Palpanas. Exemplar queries: Give me an example of what you need. PVLDB, 7(5), 2014.

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Cited By

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Lissandrini MMottin DPalpanas TVelegrakis YPiwowarski BChevalier MGaussier EMaarek YNie JScholer F(2019)Example-based SearchProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331387(1411-1412)Online publication date: 18-Jul-2019
https://dl.acm.org/doi/10.1145/3331184.3331387
Lissandrini MMottin DVelegrakis YPalpanas T(2018)X2QProceedings of the VLDB Endowment10.14778/3229863.323625111:12(2026-2029)Online publication date: 1-Aug-2018
https://dl.acm.org/doi/10.14778/3229863.3236251
Lissandrini MMottin DPalpanas TVelegrakis Y(2018)Multi-Example Search in Rich Information Graphs2018 IEEE 34th International Conference on Data Engineering (ICDE)10.1109/ICDE.2018.00078(809-820)Online publication date: Apr-2018
https://doi.org/10.1109/ICDE.2018.00078
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Index Terms

Searching with XQ: the exemplar query search engine
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Information

Published In

SIGMOD '14: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data

June 2014

1645 pages

ISBN:9781450323765

DOI:10.1145/2588555

General Chairs:
Curtis Dyreson
Utah State University, USA
,
Feifei Li
University of Utah, USA
,
Program Chair:
M. Tamer Özsu
University of Waterloo, Canada

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 June 2014

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SIGMOD

SIGMOD/PODS'14: International Conference on Management of Data

June 22 - 27, 2014

Utah, Snowbird, USA

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SIGMOD '14 Paper Acceptance Rate 107 of 421 submissions, 25%;

Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Lissandrini MMottin DPalpanas TVelegrakis YPiwowarski BChevalier MGaussier EMaarek YNie JScholer F(2019)Example-based SearchProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331387(1411-1412)Online publication date: 18-Jul-2019
https://dl.acm.org/doi/10.1145/3331184.3331387
Lissandrini MMottin DVelegrakis YPalpanas T(2018)X2QProceedings of the VLDB Endowment10.14778/3229863.323625111:12(2026-2029)Online publication date: 1-Aug-2018
https://dl.acm.org/doi/10.14778/3229863.3236251
Lissandrini MMottin DPalpanas TVelegrakis Y(2018)Multi-Example Search in Rich Information Graphs2018 IEEE 34th International Conference on Data Engineering (ICDE)10.1109/ICDE.2018.00078(809-820)Online publication date: Apr-2018
https://doi.org/10.1109/ICDE.2018.00078
Metzger SSchenkel RSydow M(2018)QBEESJournal of Intelligent Information Systems10.1007/s10844-017-0443-x49:3(333-366)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1007/s10844-017-0443-x
Mottin DLissandrini MVelegrakis YPalpanas T(2017)New trends on exploratory methods for data analyticsProceedings of the VLDB Endowment10.14778/3137765.313782410:12(1977-1980)Online publication date: 1-Aug-2017
https://dl.acm.org/doi/10.14778/3137765.3137824
Fionda VPirrò G(2017)Explaining and querying knowledge graphs by relatednessProceedings of the VLDB Endowment10.14778/3137765.313780710:12(1913-1916)Online publication date: 1-Aug-2017
https://dl.acm.org/doi/10.14778/3137765.3137807
Mottin DLissandrini MVelegrakis YPalpanas T(2016)Exemplar queriesThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-016-0429-225:6(741-765)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1007/s00778-016-0429-2
Lissandrini MMottin DPalpanas TPapadimitriou DVelegrakis Y(2015)Unleashing the Power of Information GraphsACM SIGMOD Record10.1145/2737817.273782243:4(21-26)Online publication date: 18-Feb-2015
https://dl.acm.org/doi/10.1145/2737817.2737822
Bernabei CGuerra FTrillo-Lado R(2015)Keyword search in structured data and network analysisProceedings of the 2015 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)10.1109/SMAP.2015.7370089(1-6)Online publication date: 5-Nov-2015
https://dl.acm.org/doi/10.1109/SMAP.2015.7370089
Sobczak GChochół MSchenkel RSydow M(2015)iQbees: Towards Interactive Semantic Entity Search Based on Maximal AspectsFoundations of Intelligent Systems10.1007/978-3-319-25252-0_28(259-264)Online publication date: 30-Dec-2015
https://doi.org/10.1007/978-3-319-25252-0_28

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Searching with context

Any-k: Anytime Top-k Tree Pattern Retrieval in Labeled Graphs

Site-searching strategies of searchers referred from search engines

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