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Knowledge Management for Keyword Search over Data Graphs

Published: 03 November 2014 Publication History

Abstract

This demo presents exploratory keyword search over data graphs by means of semantic facets. The demo starts with a keyword search over data graphs. Answers are first ranked by an existing search engine that considers their textual relevance and semantic structure. The user can then explore the answers through facets of structural patterns (i.e., schemas) as well as through other features. A particular way of presenting answers in a compact form is also supported and is applicable when looking for a single entity that connects the keywords. The demo is based on a working prototype that users can try on their own. It includes five data graphs that are quite diversified. In particular, three of them were generated from relational databases and two - from RDF triples. The demo shows that the system enables users to easily and quickly perform various search tasks by means of exploration, filtering and summarization.

References

[1]
H. Achiezra, K. Golenberg, B. Kimelfeld, and Y. Sagiv. Exploratory keyword search on data graphs. In SIGMOD, pages 1163--1166, 2010.
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J. Coffman and A. C. Weaver. A framework for evaluating database keyword search strategies. In CIKM, 2010.
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E. Demidova, X. Zhou, and W. Nejdl. IQP: Incremental query construction, a probabilistic approach. In ICDE, 2010.
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S. Elbassuoni and R. Blanco. Keyword search over rdf graphs. In CIKM, 2011.
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S. Ferré, A. Hermann, and M. Ducassé. Semantic Faceted Search: Safe and Expressive Navigation in RDF Graphs. Technical report.
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M. A. Hearst. Design recommendations for hierarchical faceted search interfaces. In Andrei Z. Broder and Yoelle S. Maarek, editors, Proc. SIGIR 2006 Workshop on Faceted Search, pages 26--30, 2006.
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E. Kandogan, R. Krishnamurthy, S. Raghavan, S. Vaithyanathan, and H. Zhu. Avatar semantic search: a database approach to information retrieval. In SIGMOD, 2006.
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Y. Mass, M. Ramanath, Y. Sagiv, and G. Weikum. Iq: The case for iterative querying for knowledge. In CIDR, 2011.
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Y. Mass and Y. Sagiv. Language models for keyword search over data graphs. In WSDM, 2012.
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J. Pound, I. F. Ilyas, and G. Weddell. Expressive and flexible access to web-extracted data: A keyword-based structured query languag. In SIGMOD, 2010.
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S. Stamou and L. Kozanidis. Towards faceted search for named entity queries. In APWeb/WAIM, pages 100--112, 2009.
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G. Zenz, X. Zhou, E. Minack, W. Siberski, and W. Nejdl. From keywords to semantic queries incremental query construction on the semantic web. In Journal of Web Semantics, volume 7(3), pages 166--176, 2009.

Cited By

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  • (2022)Interactive Knowledge Graph Querying Through Examples and FacetsNew Trends in Database and Information Systems10.1007/978-3-031-15743-1_19(201-211)Online publication date: 29-Aug-2022

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  1. Knowledge Management for Keyword Search over Data Graphs

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    Published In

    cover image ACM Conferences
    CIKM '14: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management
    November 2014
    2152 pages
    ISBN:9781450325981
    DOI:10.1145/2661829
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 November 2014

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    Author Tags

    1. data graph
    2. exploratory search
    3. keyword search
    4. semantic faceted search

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    CIKM '14
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    CIKM '14 Paper Acceptance Rate 175 of 838 submissions, 21%;
    Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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    CIKM '25

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    • (2022)Interactive Knowledge Graph Querying Through Examples and FacetsNew Trends in Database and Information Systems10.1007/978-3-031-15743-1_19(201-211)Online publication date: 29-Aug-2022

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