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Ontology-driven collaborative annotation in shared workspaces
Affiliation:1. Keio Graduate school of System Design Management, Yokohama, Japan;2. Keio Graduate school of System Design Management, Yokohama, Japan;3. Graduate School of Information Science, Nagoya University, Nagoya, Japan;4. Massachusetts Institute of Technology, Media Lab, Connection Science and Engineering, Boston, United States
Abstract:In the last decade, collaboration and sharing on the Web have become mainstream. Digital, remote interaction happens on a daily basis, not only to share digital resources, but also to create, manage and discuss them, in every possible situation where collaboration is required: from work teams to groups of friends, from community committees to no-profit organizations. In this paper we address the task of collaborative management of digital resources within a team, with a special focus on the task of semantic annotation, where team members, possibly supported by automated reasoning, enrich resources with properties that help in organizing, retrieving and creating connections between contents of different types. We focus in particular on the problem of reaching an agreement on the annotation itself among the participants. The paper presents a qualitative user study aimed at observing users behavior when faced with this task. The results of the study are then analyzed in order to draw guidelines, which are then implemented in a tool for collaborative annotation. This study is carried out in the context of the Semantic Table Plus Plus (Sem T++) Project, a framework supporting collaboration over thematic workspaces, whose goal is to enhance cooperation through awareness, enhanced communication and easy sharing of digital content.
Keywords:Online collaboration  Collaborative semantic annotation  Ontologies  Knowledge representation  Knowledge sharing
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