research-article

Understanding linked open data through keyword searching: the KEYRY approach

Authors:

Sonia Bergamaschi,

Francesco Guerra,

Silvia Rota,

Yannis VelegrakisAuthors Info & Claims

LWDM '11: Proceedings of the 1st International Workshop on Linked Web Data Management

Pages 34 - 35

https://doi.org/10.1145/1966901.1966912

Published: 25 March 2011 Publication History

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Abstract

We introduce KEYRY, a tool for translating keyword queries over structured data sources into queries formulated in their native query language. Since it is not based on analysis of the data source contents, KEYRY finds application in scenarios where sources hold complex and huge schemas, apt to frequent changes, such as sources belonging to the linked open data cloud. KEYRY is based on a probabilistic approach that provides the top-k results that better approximate the intended meaning of the user query.

References

[1]

S. Bergamaschi, E. Domnori, F. Guerra, R. T. Lado, and Y. Velegrakis. Keyword Search over Relational Databases: a Metadata Approach. In Proc. of SIGMOD 2011, Athens, Greece, June 12--16. ACM, 2011.

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[2]

S. Bergamaschi, E. Domnori, F. Guerra, M. Orsini, R. T. Lado, and Y. Velegrakis. Keymantic: Semantic Keyword-based Searching in Data Integration systems. PVLDB, 3(2):1637--1640, 2010.

Digital Library

Google Scholar

[3]

S. Chakrabarti, S. Sarawagi, and S. Sudarshan. Enhancing search with structure. IEEE Data Eng. Bull., 33(1):3--24, 2010.

Google Scholar

[4]

J. Forney, G. D. The Viterbi algorithm. Proceedings of the IEEE, 61(3):268--278, 1973.

Crossref

Google Scholar

[5]

L. Li, Y. Shang, H. Shi, and W. Zhang. Performance evaluation of hits-based algorithms. In Communications, Internet, and Information Technology, pages 171--176. IASTED/ACTA Press, 2002.

Google Scholar

[6]

J. X. Yu, L. Qin, and L. Chang. Keyword Search in Databases. Synthesis Lectures on Data Management. Morgan & Claypool Pub., 2010.

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Cited By

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Palpanas TVelegrakis Y(2012)dbTrentoACM SIGMOD Record10.1145/2380776.238078441:3(28-33)Online publication date: 5-Oct-2012
https://dl.acm.org/doi/10.1145/2380776.2380784
Ioannou ERassadko NVelegrakis Y(2012)On Generating Benchmark Data for Entity MatchingJournal on Data Semantics10.1007/s13740-012-0015-82:1(37-56)Online publication date: 20-Nov-2012
https://doi.org/10.1007/s13740-012-0015-8

Index Terms

Understanding linked open data through keyword searching: the KEYRY approach
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Published In

LWDM '11: Proceedings of the 1st International Workshop on Linked Web Data Management

March 2011

41 pages

ISBN:9781450306089

DOI:10.1145/1966901

Editors:
Roberto De Virgilio
University Rome Tre, Italy
,
Devis Bianchini
University of Brescia, Italy
,
Valeria De Antonellis
University of Brescia, Italy
,
Kjell Orsborn
Uppsala University, Sweden
,
Silvia Stefanova
Uppsala University, Sweden

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Association for Computing Machinery

New York, NY, United States

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Published: 25 March 2011

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EDBT/ICDT '11

EDBT/ICDT '11: EDBT/ICDT '11 joint conference

March 25, 2011

Uppsala, Sweden

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Palpanas TVelegrakis Y(2012)dbTrentoACM SIGMOD Record10.1145/2380776.238078441:3(28-33)Online publication date: 5-Oct-2012
https://dl.acm.org/doi/10.1145/2380776.2380784
Ioannou ERassadko NVelegrakis Y(2012)On Generating Benchmark Data for Entity MatchingJournal on Data Semantics10.1007/s13740-012-0015-82:1(37-56)Online publication date: 20-Nov-2012
https://doi.org/10.1007/s13740-012-0015-8

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Understanding Linked Open Data: For Linked Data Discovery, Consumption, Triplification and Application Development

Keyword search over relational databases: a metadata approach

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