NDLI: CKM: A shared visual analytical tool for large-scale analysis of audio-video interviews

Content Provider	IEEE Xplore Digital Library
Author	Lu Xiao Yan Luo High, S.
Copyright Year	2013
Description	Author affiliation: Univ. of Western Ontario, London, ON, Canada (Lu Xiao; Yan Luo) \|\| Concordia Univ., Montreal, QC, Canada (High, S.)
Abstract	Our access to human rights violation data has increased with the growing number and size of data collections. We have been combining text-mining and visualization techniques to facilitate big data analysis in human rights research. Taking a user-centered approach, we first surveyed the human rights research literature to understand reported data analysis practices in the field, and then taking a participatory design approach working with oral history researchers to develop a visual analytical tool that facilitates the analysis of collections of audio-video interviews oral history research projects. In this paper we present our current prototype - Clock-based Keyphrase Map (CKM). CKM utilizes Keyphrase technique to identify important topics in the collection and a clock-based visualization to present them in a temporal order. CKM also enables the users to further analyze the collections and share their analysis process with other researchers. We discuss the tool in details including its architecture, the computational and visualization techniques, and the interaction features. Our future plan on evaluation and further development are also discussed in the paper.
Sponsorship	IEEE Comput. Soc.
Starting Page	104
Ending Page	112
File Size	483634
Page Count	9
File Format	PDF
ISBN	9781479912933
DOI	10.1109/BigData.2013.6691677
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Databases Human rights data Audio-video interviews Data handling Collaborative analysis Visual analytics Data visualization Keyphrase technique Information management Interviews Data storage systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Proactive Support for Large-Scale Data Exploration

Introduction to Big Data: Scalable Representation and Analytics for Data Science Minitrack

Toward a Multi-Analyst, Collaborative Framework for Visual Analytics

Atypical behavior identification in large-scale network traffic

Demystifying Visual Analytics

MobiVis: A Visualization System for Exploring Mobile Data

SoDA: Dynamic visual analytics of big social data

Balancing Interactive Data Management of Massive Data with Situational Awareness through Smart Aggregation

Software and hardware infrastructures for visual analytics (2013).

CKM: A shared visual analytical tool for large-scale analysis of audio-video interviews

Similar Documents

Proactive Support for Large-Scale Data Exploration

Introduction to Big Data: Scalable Representation and Analytics for Data Science Minitrack

Toward a Multi-Analyst, Collaborative Framework for Visual Analytics

Atypical behavior identification in large-scale network traffic

Demystifying Visual Analytics

MobiVis: A Visualization System for Exploring Mobile Data

SoDA: Dynamic visual analytics of big social data

Balancing Interactive Data Management of Massive Data with Situational Awareness through Smart Aggregation

Software and hardware infrastructures for visual analytics (2013).

CKM: A shared visual analytical tool for large-scale analysis of audio-video interviews