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ObjectRank: a system for authority-based search on databases

Published: 27 June 2006 Publication History

Abstract

We present ObjectRank demo system that performs authority-based keyword search on bibliographic databases. We also provide Inverse ObjectRank as a keyword-specific specificity metric and other calibration parameters such as Global ObjectRank. Users can specify various combinations of calibration values to control the behavior of the demo. Finally, we propose a methodology that enables us to extend query results using the ontology graph.

References

[1]
A. Balmin, V. Hristidis, and Y. Papakonstantinou. ObjectRank: Authority-Based Keyword Search in Databases. VLDB, 2004.
[2]
A. Balmin, V. Hristidis, and Y. Papakonstantinou. ObjectRank: Authority-Based Keyword Search in Databases (extended version). UCSD Technical Report, 2004.
[3]
S. Brin and L. Page. The Anatomy of a Large-Scale Hypertextual Web Search Engine. WWW Conference, 1998.
[4]
V. Hristidis, H. Hwang, and Y. Papakonstantinou. Authority-Based Keyword Search in Databases. under preparation for journal submission, 2006.
[5]
R. Ramakrishnan and J. Gehrke. Database Management Systems. Third Edition. McGraw-Hill Book Co, 2003.

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  • (2020)Efficient algorithm to compute Markov transitional probabilities for a desired PageRankEPJ Data Science10.1140/epjds/s13688-020-00240-z9:1Online publication date: 29-Jul-2020
  • (2019)Insta-SearchProceedings of the 28th ACM International Conference on Information and Knowledge Management10.1145/3357384.3357858(2909-2912)Online publication date: 3-Nov-2019
  • (2018)KlustreeProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3152494.3152509(265-272)Online publication date: 11-Jan-2018
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      cover image ACM Conferences
      SIGMOD '06: Proceedings of the 2006 ACM SIGMOD international conference on Management of data
      June 2006
      830 pages
      ISBN:1595934340
      DOI:10.1145/1142473
      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: 27 June 2006

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      View all
      • (2020)Efficient algorithm to compute Markov transitional probabilities for a desired PageRankEPJ Data Science10.1140/epjds/s13688-020-00240-z9:1Online publication date: 29-Jul-2020
      • (2019)Insta-SearchProceedings of the 28th ACM International Conference on Information and Knowledge Management10.1145/3357384.3357858(2909-2912)Online publication date: 3-Nov-2019
      • (2018)KlustreeProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3152494.3152509(265-272)Online publication date: 11-Jan-2018
      • (2016)Analyzing Enterprise Storage Workloads With Graph Modeling and ClusteringIEEE Journal on Selected Areas in Communications10.1109/JSAC.2016.252547834:3(551-574)Online publication date: Mar-2016
      • (2015)An approach for transforming keyword-based queries to SPARQL on RDF data source federations2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)10.1109/ICTER.2015.7377684(168-175)Online publication date: Aug-2015
      • (2014)GraphLensProceedings of the 2014 IEEE International Congress on Big Data10.1109/BigData.Congress.2014.11(1-8)Online publication date: 27-Jun-2014
      • (2014)A review of ranking approaches for semantic search on WebInformation Processing and Management: an International Journal10.1016/j.ipm.2013.10.00450:2(416-425)Online publication date: 1-Mar-2014
      • (2013)Top-k graph pattern matching over large graphsProceedings of the 2013 IEEE International Conference on Data Engineering (ICDE 2013)10.1109/ICDE.2013.6544895(1033-1044)Online publication date: 8-Apr-2013
      • (2013)LCRA, XML Keyword Search System, and LotusX, Graphical Query Processing SystemAn Introduction to XML Query Processing and Keyword Search10.1007/978-3-642-34555-5_8(267-283)Online publication date: 28-Jan-2013
      • (2012)Richly Semantical Keyword Searching over Relational DatabasesProceedings of the 2012 Ninth Web Information Systems and Applications Conference10.1109/WISA.2012.10(211-216)Online publication date: 16-Nov-2012
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