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Associating structured records to text documents

Authors:

Partha Pratim TalukdarAuthors Info & Claims

WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web

Pages 451 - 452

https://doi.org/10.1145/2187980.2188072

Published: 16 April 2012 Publication History

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Abstract

Postulate two independently created data sources. The first contains text documents, each discussing one or a small number of objects. The second is a collection of structured records, each containing information about the characteristics of some objects. We present techniques for associating structured records to corresponding text documents and empirical results supporting the proposed techniques.

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R.Agrawal, A.Fuxman, A.Kannan, Q.Lu, and J.Shafer. Composing text and structured databases. Technical Report MSR-TR-2012--22, Microsoft Research, 2012.

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Cited By

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Mondal AKakkar APadhariya NMohania M(2021)Efficient Indexing of Top-k Entities in Systems of Engagement with Extensions for Geo-tagged EntitiesData Science and Engineering10.1007/s41019-021-00173-1Online publication date: 11-Oct-2021
https://doi.org/10.1007/s41019-021-00173-1
Mondal APadhariya NMohania M(2020)Towards Efficient Retrieval of Top-k Entities in Systems of EngagementWeb Information Systems Engineering – WISE 202010.1007/978-3-030-62008-0_4(52-67)Online publication date: 21-Oct-2020
https://doi.org/10.1007/978-3-030-62008-0_4
Kumar BRavi V(2018)A Hybrid Approach Using Topic Modeling and Class-Association Rule Mining for Text Classification: the Case of Malware Detection2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)10.1109/ICCI-CC.2018.8482043(261-268)Online publication date: Jul-2018
https://doi.org/10.1109/ICCI-CC.2018.8482043

Index Terms

Associating structured records to text documents
1. Information systems
  1. Information systems applications
    1. Data mining

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Information

Published In

WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web

April 2012

1250 pages

ISBN:9781450312301

DOI:10.1145/2187980

General Chairs:
Alain Mille
Université de Lyon, France
,
Fabien Gandon
INRIA, France
,
Jacques Misselis
HP, France
,
Program Chairs:
Michael Rabinovich
Case Western Reserve University, USA
,
Steffen Staab
University of Koblenz-Landau, Germany

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 April 2012

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WWW 2012

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Univ. de Lyon

WWW 2012: 21st World Wide Web Conference 2012

April 16 - 20, 2012

Lyon, France

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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Mondal AKakkar APadhariya NMohania M(2021)Efficient Indexing of Top-k Entities in Systems of Engagement with Extensions for Geo-tagged EntitiesData Science and Engineering10.1007/s41019-021-00173-1Online publication date: 11-Oct-2021
https://doi.org/10.1007/s41019-021-00173-1
Mondal APadhariya NMohania M(2020)Towards Efficient Retrieval of Top-k Entities in Systems of EngagementWeb Information Systems Engineering – WISE 202010.1007/978-3-030-62008-0_4(52-67)Online publication date: 21-Oct-2020
https://doi.org/10.1007/978-3-030-62008-0_4
Kumar BRavi V(2018)A Hybrid Approach Using Topic Modeling and Class-Association Rule Mining for Text Classification: the Case of Malware Detection2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)10.1109/ICCI-CC.2018.8482043(261-268)Online publication date: Jul-2018
https://doi.org/10.1109/ICCI-CC.2018.8482043

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Efficiently linking text documents with relevant structured information

Modeling, encoding and querying multi-structured documents

Information retrieval and structured documents