Computer-Supported Collaborative Knowledge Modeling in Ecology

collaborative efforts between a knowledge representation team, a community of scientists, and scientific information managers in developing knowledge models for ecological and environmental sciences. Formal, structured approaches to knowledge representation used by the team (e.g., ontologies) can be informed by unstructured approaches to knowledge representation and semantic tagging already in use by the community. Observations about the process of collaboration between the team and the community are used to generate an interaction model for supporting software tools.

[1]  L. Floridi Blackwell Guide to the Philosophy of Computing and Information , 2003 .

[2]  James J. Thomas,et al.  Defining Insight for Visual Analytics , 2009, IEEE Computer Graphics and Applications.

[3]  Andrea Emilio Rizzoli,et al.  Semantic links in integrated modelling frameworks , 2008, Math. Comput. Simul..

[4]  Peter Szolovits,et al.  What Is a Knowledge Representation? , 1993, AI Mag..

[5]  C. Jaeger,et al.  Science-based stakeholder dialogues: Theories and tools , 2006 .

[6]  Bertram Ludäscher,et al.  An Ontology-Driven Framework for Data Transformation in Scientific Workflows , 2004, DILS.

[7]  Alan H. Bond,et al.  Distributed Artificial Intelligence , 1988 .

[8]  M. Mumford,et al.  Divergent Thinking, Intelligence, and Expertise: A Test of Alternative Models , 2002 .

[9]  Mark A. Bedau,et al.  Blackwell Guide to the Philosophy of Computing and Information , 2003 .

[10]  Paul R. Ehrlich,et al.  Managing Earth's Ecosystems: An Interdisciplinary Challenge , 1999, Ecosystems.

[11]  F. Castri,et al.  Ecology in a Context of Economic Globalization , 2000 .

[12]  Mitchell Pavao-Zuckerman,et al.  Conceptual Models as Tools for Communication Across Disciplines , 2003 .

[13]  Jing Tao,et al.  Incorporating Semantics in Scientific Workflow Authoring , 2005, SSDBM.

[14]  Barry Newell,et al.  A conceptual template for integrative human–environment research , 2005 .

[15]  Susan Leigh Star,et al.  The Structure of Ill-Structured Solutions: Boundary Objects and Heterogeneous Distributed Problem Solving , 1989, Distributed Artificial Intelligence.

[16]  Ioannis N. Athanasiadis,et al.  Towards a Virtual Enterprise Architecture for the Environmental Sector , 2008 .

[17]  David N. Wear,et al.  Challenges to Interdisciplinary Discourse , 1999, Ecosystems.

[18]  Paul Williams,et al.  The Competent Boundary Spanner , 2002 .

[19]  Jonathan Grudin,et al.  Groupware and social dynamics: eight challenges for developers , 1994, CACM.

[20]  Shawn Bowers,et al.  An ontology for describing and synthesizing ecological observation data , 2007, Ecol. Informatics.

[21]  S. Goldhor Ecology , 1964, The Yale Journal of Biology and Medicine.

[22]  Gerhard Schwabe,et al.  Audio vs. Chat: The Effects of Group Size on Media Choice , 2007, 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07).

[23]  Karen S. Baker,et al.  Strategies Supporting Heterogeneous Data and Interdisciplinary Collaboration: Towards an Ocean Informatics Environment , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[24]  Stefan Decker,et al.  Creating Semantic Web Contents with Protégé-2000 , 2001, IEEE Intell. Syst..

[25]  Deana Pennington Representing the Dimensions of an Ecological Niche , 2006 .

[26]  Bertram Ludäscher,et al.  A knowledge environment for the biodiversity and ecological sciences , 2007, Journal of Intelligent Information Systems.

[27]  Bertram Ludäscher,et al.  Data Procurement for Enabling Scientific Workflows: On Exploring Inter-ant Parasitism , 2004, SWDB.

[28]  P. Jeffrey Smoothing the Waters , 2003 .

[29]  Michael Wurst,et al.  Collaborative Knowledge Visualization for Cross-Community Learning , 2005, Knowledge and Information Visualization.

[30]  A MusenMark,et al.  Creating Semantic Web Contents with Protégé-2000 , 2001 .

[31]  N. Protogeros Agent and Web Service Technologies in Virtual Enterprises , 2007 .