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DBXplorer: enabling keyword search over relational databases

Published: 03 June 2002 Publication History

Abstract

No abstract available.

References

[1]
Microsoft Internet Information Server. http://www.microsoft.com/.
[2]
Active Server Pages. http://www.microsoft.com/asp/.
[3]
Component Object Model. http://www.microsoft.com/com/.
[4]
Agrawal, S., Chaudhuri S., and Das G. DBXplorer: A System for Keyword-Based Search Over Relational Databases. IEEE ICDE, 2002, 5-16.

Cited By

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  • (2023)Full-Power Graph Querying: State of the Art and ChallengesProceedings of the VLDB Endowment10.14778/3611540.361157716:12(3886-3889)Online publication date: 12-Sep-2023
  • (2023)PathWays: Entity-Focused Exploration of Heterogeneous Data GraphsThe Semantic Web: ESWC 2023 Satellite Events10.1007/978-3-031-43458-7_17(91-95)Online publication date: 21-Oct-2023
  • (2023)Exploring Heterogeneous Data Graphs Through Their Entity PathsAdvances in Databases and Information Systems10.1007/978-3-031-42914-9_12(163-179)Online publication date: 28-Aug-2023
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Published In

cover image ACM Conferences
SIGMOD '02: Proceedings of the 2002 ACM SIGMOD international conference on Management of data
June 2002
654 pages
ISBN:1581134975
DOI:10.1145/564691
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 June 2002

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Acceptance Rates

SIGMOD '02 Paper Acceptance Rate 42 of 240 submissions, 18%;
Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Cited By

View all
  • (2023)Full-Power Graph Querying: State of the Art and ChallengesProceedings of the VLDB Endowment10.14778/3611540.361157716:12(3886-3889)Online publication date: 12-Sep-2023
  • (2023)PathWays: Entity-Focused Exploration of Heterogeneous Data GraphsThe Semantic Web: ESWC 2023 Satellite Events10.1007/978-3-031-43458-7_17(91-95)Online publication date: 21-Oct-2023
  • (2023)Exploring Heterogeneous Data Graphs Through Their Entity PathsAdvances in Databases and Information Systems10.1007/978-3-031-42914-9_12(163-179)Online publication date: 28-Aug-2023
  • (2022)A BIBLIOMETRIC ANALYSIS OF DIGITAL NOMAD RESEARCHESDİJİTAL GÖÇEBE ARAŞTIRMALARININ BİBLİYOMETRİK ANALİZİNevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi10.30783/nevsosbilen.112123612:Dijitalleşme(306-319)Online publication date: 3-Nov-2022
  • (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
  • (2021)Key-core: cohesive keyword subgraph exploration in large graphsWorld Wide Web10.1007/s11280-021-00926-yOnline publication date: 6-Aug-2021
  • (2020)Functional Architectures for Indexing and KeywordingKnowledge Architectures10.4324/9780429268915-17(276-295)Online publication date: 30-Nov-2020
  • (2020)Transforming Product Catalogue Relational into Graph Database: a Performance Comparison2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)10.23919/MIPRO48935.2020.9245152(523-528)Online publication date: 28-Sep-2020
  • (2020)A survey of typical attributed graph queriesWorld Wide Web10.1007/s11280-020-00849-024:1(297-346)Online publication date: 20-Nov-2020
  • (2020)Leveraging Pattern Mining Techniques for Efficient Keyword Search on Data GraphsWeb Information Systems Engineering10.1007/978-981-15-3281-8_10(98-114)Online publication date: 6-Feb-2020
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