A Policy-Based Team Collaboration

A Policy-Based Team Collaboration

Jae W. Hwang (The George Washington University, USA) and Shmuel Rotenstreich (The George Washington University, USA)
Copyright: © 2012 |Pages: 16
DOI: 10.4018/jec.2012010101
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Abstract

This paper presents a policy-based coordination model for team collaboration. Team collaboration requires an agreement that utilizes a negotiation protocol to find candidate teams and to decide on a collaboration partner. The decision relies on policies that are rules governing team situations in an organization. Contexts and rules allow reasoning about team situations. The authors describe a policy-based negotiation protocol. It introduces an ontology-based whiteboard component that uses the Semantic Web technologies such as Web Ontology Language (OWL), Semantic Web Rule Language (SWRL), and Semantic Query-enhanced Web Rule Language (SQWRL). The negotiation protocol facilitates whiteboards as a computational foundation for awareness of situations and policies, and it assists with the final decision using a measure based on the combination of rule-based queries and functions.
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Context

Dey (2001) says, “Context is any information that can be used to characterize the situation of entity” where an entity is a person, place, or object that is considered relevant to interactions. In a survey on context modeling approaches, Strang and Linnhoff-Popien (2004) report ontologies as a promising technology for modeling contexts. Wang, Zhang, Gu, and Pung (2004) and Chen, Perich, Finin, and Joshi (2004) propose CONON and SOUPA ontologies, respectively, for modeling contexts in a pervasive and distributed computing environment that contain concepts such as person, location, activity, or action. We define simple ontologies for our purposes modeling a team coordination environment that requires core concepts such as teams, logs, events, and tasks.

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