Learning from Architects: Complementary Concept Mapping Approaches

The research scope in concept mapping research can be extended with the investigation of complementary concept mapping approaches, which are visual representations that complement the classical node link diagrams from Novak. To do so, concept mapping researchers can draw inspiration from architects. This article presents four strategies of architects to map concepts. The analysis shows what concept mapping researchers can benefit from architects: first, from the practice of architects to use complementary visualizations, which is investigated in the research field of Knowledge Visualization. Second, from their practice to structure information, which is investigated in the research field of Information Architecture. Both research fields are relevant for concept mapping researchers who investigate new formal approaches that complement the concept mapping approach taken by Novak. Third, the article discusses examples of complementary concept maps in different business situations.

[1]  Dorothy E. Leidner,et al.  Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues , 2001, MIS Q..

[2]  M. Åhlberg.  Varieties of concept mapping , 2004 .

[3]  J. E. Neely,et al.  HYBRID REAL OPTIONS VALUATION OF RISKY PRODUCT DEVELOPMENT PROJECTS , 2001 .

[4]  D. Ausubel.  The psychology of meaningful verbal learning. , 1963 .

[5]  Remo Burkhard,et al.  Tube Map: Evaluation of a Visual Metaphor for Interfunctional Communication of Complex Projects , 2004 .

[6]  Joseph D. Novak,et al.  Learning How to Learn , 1984 .

[7]  Sherman R. Alpert,et al.  Comprehensive Mapping of Knowledge and Information Resources: The Case of Webster , 2005, Knowledge and Information Visualization.

[8]  K. Koffka.  Principles Of Gestalt Psychology , 1936 .

[9]  Shashi Shekhar,et al.  Cognitive Mapping , 2008, Encyclopedia of GIS.

[10]  Colin Ware,et al.  Information Visualization: Perception for Design , 2000 .

[11]  Colin Eden,et al.  Analyzing cognitive maps to help structure issues or problems , 2004, Eur. J. Oper. Res..

[12]  James M. Lyneis,et al.  System dynamics for market forecasting and structural analysis , 2000 .

[13]  J. Novak.  Learning Theory Applied to the Biology Classroom , 1980 .

[14]  James M. Lyneis,et al.  System dynamics for business strategy: a phased approach , 1999 .

[15]  Anthony E. Cawkell,et al.  Mapping Scientific Frontiers: The Quest for Knowledge Visualization , 2003, J. Documentation.

[16]  Markus H. Gross,et al.  Visualizing abstract information using motion properties of data-driven infoticles , 2004, IS&T/SPIE Electronic Imaging.

[17]  Remo Burkhard.  Learning from architects: the difference between knowledge visualization and information visualization , 2004 .

[18]  Gerhard Schmitt.  Information Architecture: Basis and Future of CAAD , 1999 .

[19]  Remo Aslak Burkhard,et al.  Towards a Framework and a Model for Knowledge Visualization: Synergies Between Information and Knowledge Visualization , 2005, Knowledge and Information Visualization.

[20]  Remo Burkhard,et al.  Knowledge Visualization: A Comparative Study between Project Tube Maps and Gantt Charts , 2005 .

[21]  B. Marx.  The Visual Display of Quantitative Information , 1985 .

[22]  D. Schwartz.  Encyclopedia of Knowledge Management , 2005 .

[23]  David N. Ford,et al.  Dynamic modeling of product development processes , 1998 .

[24]  Robert S. Kaplan,et al.  Having Trouble with Your Strategy ? , 2005 .

[25]  H. Margolis.  Visual explanations: Images and quantities, evidence and narrative , 1998 .

[26]  Martin Kemp,et al.  Visualizations: The Nature Book of Art and Science , 2000 .

[27]  T. Keelin,et al.  How SmithKline Beecham makes better resource-allocation decisions. , 1998, Harvard business review.

[28]  Sigmar-Olaf Tergan,et al.  Knowledge and Information Visualization, Searching for Synergies [outcome of a workshop held in Tübingen, Germany, May 2004] , 2005, Knowledge and Information Visualization.

[29]  Sigmar-Olaf Tergan,et al.  Visualizing Knowledge and Information: An Introduction , 2005, Knowledge and Information Visualization.

[30]  Remo Aslak Burkhard,et al.  Tube Map Visualization: Evaluation of a Novel Knowledge Visualization Application for the Transfer of Knowledge in Long-Term Projects , 2005, J. Univers. Comput. Sci..

[31]  Andrew Vande Moere.  Infoticles: information modeling in immersive environments , 2002, Proceedings Sixth International Conference on Information Visualisation.

[32]  Remo Burkhard,et al.  Knowledge visualization: The use of complementary visual representations for the transfer of knowledge. A model, a framework, and four new approaches , 2005 .

[33]  R. Kaplan,et al.  Having trouble with your strategy? Then map it. , 2000, Harvard business review.

[34]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[35]  Francis D. Tuggle,et al.  Strategy Maps: Converting Intangible Assets into Tangible Outcomes , 2004 .

[36]  Louis B. Rosenfeld,et al.  Information architecture for the world wide web - designing large-scale web sites , 1998 .

[37]  Steve Howard,et al.  Methods & tools: the rich picture: a tool for reasoning about work context , 1998, INTR.

[38]  Maia Engeli.  Bits and spaces : architecture and computing for physical, virtual, hybrid realms : 33 projects by Architecture and CAAD, ETH Zurich , 2001 .

[39]  Martha J. Farah,et al.  The Cognitive Neuroscience of Vision , 2000 .

[40]  Edward R. Tufte,et al.  Envisioning Information , 1990 .

[41]  Sigmar-Olaf Tergan,et al.  Knowledge and Information Visualization: Searching for Synergies (Lecture Notes in Computer Science) , 2005 .

[42]  Richard Saul Wurman,et al.  Information Anxiety 2 , 1989 .