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

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 cu