Visualizing the commonalities between hierarchically structured data queries

Chad Jones, Ryan Armstrong, Kwan-Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. In cases where a dataset has multiple complex features of interest, especially ones that have been hierarchically clustered, it is often very difficult to grasp the commonalities between them. Understanding the overlap between features can help researchers discover correlations or hot spots in their data. Our method steps back from actual data features, simplifying their representation, and presenting them in a fashion which facilitates interpretation of their inter-feature relationships. We call this new representation a knowledge graph, and we show how it can be used to investigate the overlap of multiple features in a photo database and a social network dataset.

Original languageEnglish (US)
Title of host publicationDMS 2010 - Proceedings of the 16th International Conference on Distributed Multimedia Systems
Pages251-256
Number of pages6
StatePublished - Dec 1 2010
Event16th International Conference on Distributed Multimedia Systems, DMS 2010 - Oak Brook, IL, United States
Duration: Oct 14 2010Oct 16 2010

Other

Other16th International Conference on Distributed Multimedia Systems, DMS 2010
CountryUnited States
CityOak Brook, IL
Period10/14/1010/16/10

Fingerprint

Visualization

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

Cite this

Jones, C., Armstrong, R., & Ma, K-L. (2010). Visualizing the commonalities between hierarchically structured data queries. In DMS 2010 - Proceedings of the 16th International Conference on Distributed Multimedia Systems (pp. 251-256)

Visualizing the commonalities between hierarchically structured data queries. / Jones, Chad; Armstrong, Ryan; Ma, Kwan-Liu.

DMS 2010 - Proceedings of the 16th International Conference on Distributed Multimedia Systems. 2010. p. 251-256.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jones, C, Armstrong, R & Ma, K-L 2010, Visualizing the commonalities between hierarchically structured data queries. in DMS 2010 - Proceedings of the 16th International Conference on Distributed Multimedia Systems. pp. 251-256, 16th International Conference on Distributed Multimedia Systems, DMS 2010, Oak Brook, IL, United States, 10/14/10.
Jones C, Armstrong R, Ma K-L. Visualizing the commonalities between hierarchically structured data queries. In DMS 2010 - Proceedings of the 16th International Conference on Distributed Multimedia Systems. 2010. p. 251-256
Jones, Chad ; Armstrong, Ryan ; Ma, Kwan-Liu. / Visualizing the commonalities between hierarchically structured data queries. DMS 2010 - Proceedings of the 16th International Conference on Distributed Multimedia Systems. 2010. pp. 251-256
@inproceedings{3cdb3d4753934630893c1b85f2ae9bc6,
title = "Visualizing the commonalities between hierarchically structured data queries",
abstract = "In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. In cases where a dataset has multiple complex features of interest, especially ones that have been hierarchically clustered, it is often very difficult to grasp the commonalities between them. Understanding the overlap between features can help researchers discover correlations or hot spots in their data. Our method steps back from actual data features, simplifying their representation, and presenting them in a fashion which facilitates interpretation of their inter-feature relationships. We call this new representation a knowledge graph, and we show how it can be used to investigate the overlap of multiple features in a photo database and a social network dataset.",
author = "Chad Jones and Ryan Armstrong and Kwan-Liu Ma",
year = "2010",
month = "12",
day = "1",
language = "English (US)",
isbn = "1891706284",
pages = "251--256",
booktitle = "DMS 2010 - Proceedings of the 16th International Conference on Distributed Multimedia Systems",

}

TY - GEN

T1 - Visualizing the commonalities between hierarchically structured data queries

AU - Jones, Chad

AU - Armstrong, Ryan

AU - Ma, Kwan-Liu

PY - 2010/12/1

Y1 - 2010/12/1

N2 - In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. In cases where a dataset has multiple complex features of interest, especially ones that have been hierarchically clustered, it is often very difficult to grasp the commonalities between them. Understanding the overlap between features can help researchers discover correlations or hot spots in their data. Our method steps back from actual data features, simplifying their representation, and presenting them in a fashion which facilitates interpretation of their inter-feature relationships. We call this new representation a knowledge graph, and we show how it can be used to investigate the overlap of multiple features in a photo database and a social network dataset.

AB - In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. In cases where a dataset has multiple complex features of interest, especially ones that have been hierarchically clustered, it is often very difficult to grasp the commonalities between them. Understanding the overlap between features can help researchers discover correlations or hot spots in their data. Our method steps back from actual data features, simplifying their representation, and presenting them in a fashion which facilitates interpretation of their inter-feature relationships. We call this new representation a knowledge graph, and we show how it can be used to investigate the overlap of multiple features in a photo database and a social network dataset.

UR - http://www.scopus.com/inward/record.url?scp=79952430482&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79952430482&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:79952430482

SN - 1891706284

SN - 9781891706288

SP - 251

EP - 256

BT - DMS 2010 - Proceedings of the 16th International Conference on Distributed Multimedia Systems

ER -