Annotation has become a common practice when interacting with digital documents, allowing the addition of information to existing data without corrupting them. Restricting visibility of annotations to groups of users, as usually enforced in enterprise collaboration systems, turns annotations into a tool for focused collaboration among users with common interests. However, providing different levels of visibility in an open Web-based environment is challenging, due to conflicting needs: to keep the annotation process simple, to ensure adequate levels of privacy and confidence to users, and to allow users to filter out irrelevant information. We describe a suite of services for group formation and management, integrated into the existing MADCOW annotation system. We also propose a formal characterisation of groups, introducing atomic operations on which complex functionalities are based. The paper discusses different scenarios and applications and argues for the usability of the proposed integration by presenting the results of experimental tests.

Title

Journal of Visual Languages and Computing

Publisher

Elsevier

Publisher Country

United States of America

Indexing

Scopus

Impact Factor

1.88

Publication Type

Both (Printed and Online)

Volume

41

Year

2017

Pages

22-40