A Comparative Study of Recent Ontology Visualization Tools with a Case of Diabetes Data

Ontology is a conceptualization of a domain into machine readable format. Ontologies are becoming increasingly popular modelling schemas for knowledge management services and applications. Focus on developing tools to graphically visualise ontologies is rising to aid their assessment and analysis. Graph visualisation helps to browse and comprehend the structure of ontologies. A number of ontology visualizations exist that have been embedded in ontology management tools. The primary goal of this paper is to analyze recently implemented ontology visualization tools and their contributions in the enrichment of users’ cognitive support. This work also presents the preliminary results of an evaluation of three visualization tools to determine the suitability of each method for end user applications where ontologies are used as browsing aids with a case of Diabetes data..

[1]  Ben Shneiderman,et al.  Tree-maps: a space-filling approach to the visualization of hierarchical information structures , 1991, Proceeding Visualization '91.

[2]  Ivan Herman,et al.  Graph Visualization and Navigation in Information Visualization: A Survey , 2000, IEEE Trans. Vis. Comput. Graph..

[3]  Mary Czerwinski,et al.  An initial examination of ease of use for 2D and 3D information visualizations of web content , 2000, Int. J. Hum. Comput. Stud..

[4]  David Benyon,et al.  Towards a methodology for developing visualizations , 2000, Int. J. Hum. Comput. Stud..

[5]  Tamara Munzner,et al.  H3: laying out large directed graphs in 3D hyperbolic space , 1997, Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium.

[6]  George Furnas,et al.  The FISHEYE view: A new look at structured files , 1986, CHI 1986.

[7]  Natalya F. Noy,et al.  Component-Based Support for Building Knowledge-Acquisition Systems , 2000 .

[8]  Mark A. Musen,et al.  PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment , 2000, AAAI/IAAI.

[9]  Henrik Eriksson,et al.  The evolution of Protégé: an environment for knowledge-based systems development , 2003, Int. J. Hum. Comput. Stud..

[10]  Mark A. Musen,et al.  Automated support for building and extending expert models , 1989, Machine Learning.

[11]  Chris North,et al.  Snap-together visualization: can users construct and operate coordinated visualizations? , 2000, Int. J. Hum. Comput. Stud..

[12]  Emmanuel Pietriga,et al.  OntoTrix: a hybrid visualization for populated ontologies , 2011, WWW.

[13]  Graham J. Wills,et al.  NicheWorks - Interactive Visualization of Very Large Graphs , 1997, GD.

[14]  Nicola Guarino,et al.  Ontologies and Knowledge Bases. Towards a Terminological Clarification , 1995 .

[15]  Akrivi Katifori,et al.  Ontology visualization methods—a survey , 2007, CSUR.

[16]  Alfred Kobsa.  User Experiments with Tree Visualization Systems , 2004 .

[17]  Peter Eades,et al.  A Heuristic for Graph Drawing , 1984 .

[18]  Stephen C. North,et al.  Incremental Layout in DynaDAG , 1995, GD.

[19]  Tomasz Boinski,et al.  Ontology visualization , 2010, 2010 2nd International Conference on Information Technology, (2010 ICIT).

[20]  Akrivi Katifori,et al.  A Comparative Study of Four Ontology Visualization Techniques in Protege: Experiment Setup and Preliminary Results , 2006, Tenth International Conference on Information Visualisation (IV'06).

[21]  Ernest Friedman Hill,et al.  Jess in Action: Java Rule-Based Systems , 2003 .

[22]  Ramana Rao,et al.  A focus+context technique based on hyperbolic geometry for visualizing large hierarchies , 1995, CHI '95.

[23]  T. Elena,et al.  A Comparative Study of Four Ontology Visualization Techniques in Protege: Experiment Setup and Preliminary Results , 2006 .