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Continuous keyword search on multiple text streams

Published: 06 November 2006 Publication History

Abstract

In this paper we address the issue of continuous keyword queries on multiple textual streams. This line of work represents a significant departure from previous keyword search models that assumed a static database. In our model the user poses a query comprised by a collection of keywords, which is subsequently applied on multiple text streams (these can be RSS news feeds, TV closed captions, emails, etc). A result to a query is a combination of streams "sufficiently correlated" to each other that collectively contain all query keywords within a specified time span.

References

[1]
S. Agrawal, S. Chaudhuri, and G. Das. DBXplorer: A System For Keyword-Based Search Over Relational Databases. ICDE, 2002
[2]
G. Bhalotia, C. Nakhe, A. Hulgeri, S. Chakrabarti and S. Sudarshan: Keyword Searching and Browsing in Databases using BANKS. ICDE, 2002
[3]
A. Das, J. Gehrke, and M. Riedewald. Approximate join processing over data streams, SIGMOD, 2003
[4]
L. Golab and M. T. Ozsu. Processing sliding window multi-joins in continuous queries over data streams. VLDB, 2003
[5]
V. Hristidis, Y. Papakonstantinou: DISCOVER: Keyword Search in Relational Databases. VLDB, 2002

Cited By

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  • (2020)Crowdsourcing Based Description of Urban Emergency Events Using Social Media Big DataIEEE Transactions on Cloud Computing10.1109/TCC.2016.25176388:2(387-397)Online publication date: 1-Apr-2020
  • (2018)An Efficient Framework for String Similarity Continuous Query on Data Stream2018 5th International Conference on Systems and Informatics (ICSAI)10.1109/ICSAI.2018.8599504(1240-1247)Online publication date: Nov-2018
  • (2017)Crowdsourcing-based timeline description of urban emergency events using social mediaInternational Journal of Ad Hoc and Ubiquitous Computing10.5555/3079766.307977025:1-2(41-51)Online publication date: 1-Jan-2017
  • Show More Cited By

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    cover image ACM Conferences
    CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management
    November 2006
    916 pages
    ISBN:1595934332
    DOI:10.1145/1183614
    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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    New York, NY, United States

    Publication History

    Published: 06 November 2006

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    Author Tags

    1. correlation
    2. keyword search
    3. streams

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    CIKM06
    CIKM06: Conference on Information and Knowledge Management
    November 6 - 11, 2006
    Virginia, Arlington, USA

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

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    Cited By

    View all
    • (2020)Crowdsourcing Based Description of Urban Emergency Events Using Social Media Big DataIEEE Transactions on Cloud Computing10.1109/TCC.2016.25176388:2(387-397)Online publication date: 1-Apr-2020
    • (2018)An Efficient Framework for String Similarity Continuous Query on Data Stream2018 5th International Conference on Systems and Informatics (ICSAI)10.1109/ICSAI.2018.8599504(1240-1247)Online publication date: Nov-2018
    • (2017)Crowdsourcing-based timeline description of urban emergency events using social mediaInternational Journal of Ad Hoc and Ubiquitous Computing10.5555/3079766.307977025:1-2(41-51)Online publication date: 1-Jan-2017
    • (2017)Crowdsourcing based social media data analysis of urban emergency eventsMultimedia Tools and Applications10.1007/s11042-015-2731-176:9(11567-11584)Online publication date: 1-May-2017
    • (2016)Event Pattern Analysis and Prediction at Sentence Level using Neuro-Fuzzy Model for Crime Event DetectionPattern Analysis & Applications10.1007/s10044-014-0421-719:3(679-698)Online publication date: 1-Aug-2016
    • (2016)Building knowledge base of urban emergency events based on crowdsourcing of social mediaConcurrency and Computation: Practice & Experience10.1002/cpe.378028:15(4038-4052)Online publication date: 1-Oct-2016
    • (2015)Crowd sensing based burst computing of events using social mediaInternational Journal of Distributed Sensor Networks10.1155/2015/1847512015(31-31)Online publication date: 1-Jan-2015
    • (2014)Adding Lexical Chain to Keyphrase ExtractionProceedings of the 2014 11th Web Information System and Application Conference10.1109/WISA.2014.53(254-257)Online publication date: 12-Sep-2014
    • (2014)Crowd Sensing of Urban Emergency Events Based on Social Media Big DataProceedings of the 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications10.1109/TrustCom.2014.77(605-610)Online publication date: 24-Sep-2014
    • (2014)Continuous similarity join on data streams2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS)10.1109/PADSW.2014.7097853(552-559)Online publication date: Dec-2014
    • Show More Cited By

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