A collaborative annotation system for data visualization

2004 ◽  
Author(s):  
Sean E. Ellis ◽  
Dennis P. Groth
Keyword(s):  
Data Visualization ◽  
Annotation System ◽  
Collaborative Annotation

scholarly journals DAS Writeback: A Collaborative Annotation System

2011 ◽  
Vol 12 (1) ◽  
Author(s):  
Gustavo A Salazar ◽  
Rafael C Jimenez ◽  
Alexander Garcia ◽  
Henning Hermjakob ◽  
Nicola Mulder ◽  
...  
Keyword(s):  
Annotation System ◽  
Collaborative Annotation

Applications of collaborative annotation system in digital curation, crowdsourcing, and digital humanities

2017 ◽  
Vol 35 (6) ◽  
pp. 1122-1140 ◽  
Author(s):  
Chih-Ming Chen ◽  
Ming-Yueh Tsay
Keyword(s):  
Questionnaire Survey ◽  
Digital Humanities ◽  
Attraction Effect ◽  
Digital Archive ◽  
Web Pages ◽  
Content Type ◽  
Digital Curation ◽  
Annotation System ◽  
Humanity Research ◽  
Collaborative Annotation

Purpose Collaboratively annotating digital texts allow users to add valued information, share ideas and create knowledge. Most importantly, annotated content can help users obtain a deeper and broader understanding of a text compared to digital content without annotations. This work proposes a novel collaborative annotation system (CAS) with four types of multimedia annotations including text annotation, picture annotation, voice annotation and video annotation which can embedded into any HTML Web pages to enable users to collaboratively add and manage annotations on these pages and provide a shared mechanism for discussing shared annotations among multiple users. By applying the CAS in a mashup on static HTML Web pages, this study aims to discuss the applications of CAS in digital curation, crowdsourcing and digital humanities to encourage existing strong relations among them. Design/methodology/approach This work adopted asynchronous JavaScript (Ajax) and a model-view-controller framework to implement a CAS with reading annotation tools for knowledge creating, archiving and sharing services, as well as applying the implemented CAS to support digital curation, crowdsourcing and digital humanities. A questionnaire survey method was used to investigate the ideas and satisfaction of visitors who attended a digital curation with CAS support in the item dimensions of the interactivity with displayed products, the attraction and the content absorption effect. Also, to collect qualitative data that may not be revealed by the questionnaire survey, semi-structured interviews were performed at the end of the digital curation exhibition activity. Additionally, the effects of the crowdsourcing and digital humanities with CAS support on collecting and organizing ideas and opinions for historical events and promoting humanity research outcomes were considered as future works because they all need to take a long time to investigate. Findings Based on the questionnaire survey, this work found that the digital curation with CAS support revealed the highest rating score in terms of the item dimension of attraction effect. The result shows applying CAS to support digital curation is practicable, novel and interesting to visitors. Additionally, this work also successfully applied the developed CAS to crowdsourcing and digital humanities so that the two research fields may be brought into a new ground. Originality/value Based on the CAS, this work developed a novel digital curation approach which has a high degree of satisfaction on attraction effect to visitors, an innovative crowdsourcing platform that combined with a digital archive system to efficiently gather collective intelligence to solve the difficult problems of identifying digital archive contents and a high potential digital humanity research mode that can assist humanities scholars to annotate the texts with distinct interpretation and viewpoints on an ancient map, as well as discuss with other humanities scholars to stimulate discussion on more issues.

Collaborative annotation system environment (CASE) for online learning

2004 ◽  
Vol 21 (2) ◽  
pp. 72-80 ◽  
Author(s):  
Ian Glover ◽  
Glenn Hardaker ◽  
Zhijie Xu
Keyword(s):  
Online Learning ◽  
System Environment ◽  
Annotation System ◽  
Collaborative Annotation
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