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International Conference on Conceptual Modeling

ER 2018: Advances in Conceptual Modeling pp 22–25Cite as

Attribute Value Matching by Maximizing Benefit

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11158))

Abstract

Attribute value matching (AVM) identifies equivalent values that refer to the same entities. Traditional approaches ignore the weights of values in itself. In this demonstration, we present AVM-LB, Attribute Value Matching with Limited Budget, that preferentially matches the hot equivalent values such that the maximal benefit to data consistency can be achieved by limited budget. By defining a rank function and greedily matching the hot equivalent values, the AVM-LB enables users to interactively explore the achieved benefit to data consistency.

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Notes

  1. 1.

    http://dblp.uni-trier.de/.

  2. 2.

    https://www.cs.purdue.edu/commugrate/data/citeseer/.

References

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Acknowledgments

The work was supported by the Ministry of Science and Technology of China, National Key Research and Development Program (Project Number 2016YFB1000703), the National Natural Science Foundation of China under No. 61732014 No. 61332006, No. 61472321, No. 61502390 and No. 61672432.

Author information

Authors and Affiliations

  1. School of Computer Science, Northwestern Polytechnical University, Xi’an, China

    Fengfeng Fan & Zhanhuai Li

  2. Key Laboratory of Big Data Storage and Management, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi’an, China

    Fengfeng Fan & Zhanhuai Li

Authors
  1. Fengfeng Fan
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  2. Zhanhuai Li
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Corresponding author

Correspondence to Fengfeng Fan .

Editor information

Editors and Affiliations

  1. University of British Columbia, Vancouver, BC, Canada

    Carson Woo

  2. University of Helsinki, Helsinki, Finland

    Jiaheng Lu

  3. Northwestern Polytechnical University, Xian, China

    Zhanhuai Li

  4. Department of Computer Science, National University of Singapore, Singapore, Singapore

    Tok Wang Ling

  5. Department of Computer Science and Technology, Tsinghua University, Beijing, Beijing, China

    Guoliang Li

  6. National University of Singapore, Singapore, Singapore

    Mong Li Lee

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Cite this paper

Fan, F., Li, Z. (2018). Attribute Value Matching by Maximizing Benefit. In: Woo, C., Lu, J., Li, Z., Ling, T., Li, G., Lee, M. (eds) Advances in Conceptual Modeling. ER 2018. Lecture Notes in Computer Science(), vol 11158. Springer, Cham. https://doi.org/10.1007/978-3-030-01391-2_5

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  • DOI: https://doi.org/10.1007/978-3-030-01391-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01390-5

  • Online ISBN: 978-3-030-01391-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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