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MAMView: a visual tool for exploring and understanding metric access methods

Published: 13 March 2005 Publication History

Abstract

The MAMView framework is a data exploration tool that allows developers and users of Metric Access Methods (MAMs) to explore and share dynamic and interactive 3D presentations of a MAM, making the understanding of those structures easier. It is able to create visual representations of metric datasets, including high-dimensional and non-dimensional information. This is achieved by using an extension of the FastMap algorithm. This framework was developed as a practical tool that has been successfully applied to study existing MAMs, helping both new and experienced users to better understand them. The MAMView was also applied to a new under development MAM. With MAMView in hands, the development team of this MAM was able to drill-down its algorithms, quickly finding problems and also potential points for improvement and optimizations. Our focus on this work is on proposing an intuitive yet powerful visualization framework that can be easily employed to build intuitive visual presentations that can bypass the drawback of MAMs dealing with datasets with no spatial representation. Besides MAMView being a powerful visualization tool, its greatest strengths are the ability to interactively explore a visual presentation of a MAM at any level of detail, and the ability to seamlessly query and produce graphical representations in XML format that can be straightforward executed. This paper presents the MAMView framework and its main techniques, describes the current tool, and reports on our experiences in applying it to real applications.

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  • (2013)Efficient Execution of Conjunctive Complex Queries on Big Multimedia DatabasesProceedings of the 2013 IEEE International Symposium on Multimedia10.1109/ISM.2013.112(536-543)Online publication date: 9-Dec-2013

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cover image ACM Conferences
SAC '05: Proceedings of the 2005 ACM symposium on Applied computing
March 2005
1814 pages
ISBN:1581139640
DOI:10.1145/1066677
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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Publication History

Published: 13 March 2005

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  1. data visualization
  2. metric access methods

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SAC05
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SAC05: The 2005 ACM Symposium on Applied Computing
March 13 - 17, 2005
New Mexico, Santa Fe

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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  • (2013)Efficient Execution of Conjunctive Complex Queries on Big Multimedia DatabasesProceedings of the 2013 IEEE International Symposium on Multimedia10.1109/ISM.2013.112(536-543)Online publication date: 9-Dec-2013

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