Table of Contents Author Guidelines Submit a Manuscript
Advances in Human-Computer Interaction
Volume 2017, Article ID 7219098, 12 pages
https://doi.org/10.1155/2017/7219098
Research Article

An Integrated Support to Collaborative Semantic Annotation

Dipartimento di Informatica, Università di Torino, C. Svizzera 185, 10149 Torino, Italy

Correspondence should be addressed to Annamaria Goy; ti.otinu@yog.airamanna

Received 24 September 2016; Revised 14 December 2016; Accepted 30 January 2017; Published 21 February 2017

Academic Editor: Thomas Mandl

Copyright © 2017 Annamaria Goy et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Everybody experiences every day the need to manage a huge amount of heterogeneous shared resources, causing information overload and fragmentation problems. Collaborative annotation tools are the most common way to address these issues, but collaboratively tagging resources is usually perceived as a boring and time consuming activity and a possible source of conflicts. To face this challenge, collaborative systems should effectively support users in the resource annotation activity and in the definition of a shared view. The main contribution of this paper is the presentation and the evaluation of a set of mechanisms (personal annotations over shared resources and tag suggestions) that provide users with the mentioned support. The goal of the evaluation was to () assess the improvement with respect to the situation without support; () evaluate the satisfaction of the users, with respect to both the final choice of annotations and possible conflicts; () evaluate the usefulness of the support mechanisms in terms of actual usage and user perception. The experiment consisted in a simulated collaborative work scenario, where small groups of users annotated a few resources and then answered a questionnaire. The evaluation results demonstrate that the proposed support mechanisms can reduce both overload and possible disagreement.