demonstration

Exploring XML data is as easy as using maps

Authors:

Yong Zeng,

Zhifeng Bao,

Guoliang Li,

Tok Wang LingAuthors Info & Claims

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

Pages 2497 - 2500

https://doi.org/10.1145/2505515.2508201

Published: 27 October 2013 Publication History

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Abstract

For keyword search on XML data, traditionally, a list of query results in the form of subtrees will be returned to users. However, we find that it is still not sufficient to meet users' information needs because: (1) the search intention of a certain keyword query varies from person to person; (2) amongst the query results, they may have sibling or containment relationships (in the context of whole XML database), which could be important for users to digest the query results and should be shown to users. Therefore, we try to equip the traditional XML keyword search engine with our new exploration model XMAP, providing user an interactive yet novel way to explore the results with better user experience.

References

[1]

Antonin Guttman, R-Trees: A Dynamic Index Structure for Spatial Searching. SIGMOD Conference. 1984. 47--57. http://doi.acm.org/10.1145/602259.602266, db/conf/sigmod/Guttman84.html.

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[2]

Yu Huang, Ziyang Liu, and Yi Chen. Query biased snippet generation in XML search. SIGMOD Conference. 2008. http://doi.acm.org/10.1145/1376616.1376651.

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[3]

H. V. Jagadish, Adriane Chapman, Aaron Elkiss, Magesh Jayapandian, Yunyao Li, Arnab Nandi, and Cong Yu. Making database systems usable. SIGMOD Conference. 2007.

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Google Scholar

[4]

Yong Zeng, Zhifeng Bao, Tok Wang Ling, and Luochen Li. MALEX: a MAp-like exploration model on XML database. KEYS. 2012.

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Index Terms

Exploring XML data is as easy as using maps
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces

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Published In

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

October 2013

2612 pages

ISBN:9781450322638

DOI:10.1145/2505515

General Chairs:
Qi He
LinkedIn, USA
,
Arun Iyengar
IBM T.J. Watson Research Center, USA
,
Program Chairs:
Wolfgang Nejdl
L3S Research Center, Germany
,
Jian Pei
Simon Fraser University, Canada
,
Rajeev Rastogi
Amazon, India

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2013

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CIKM'13

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CIKM'13: 22nd ACM International Conference on Information and Knowledge Management

October 27 - November 1, 2013

California, San Francisco, USA

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CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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CIKM '25

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The 34th ACM International Conference on Information and Knowledge Management

November 10 - 14, 2025

Seoul , Republic of Korea

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Index Terms

Recommendations

Context-Based Diversification for Keyword Queries Over XML Data

Reasoning with patterns to effectively answer XML keyword queries

Keyword query with structure: towards semantic scoring of XML search results