Web Based Visual Exploration of Patent Information

Patents are an invaluable source of scientific and technological information. Due to the strongly increasing number of patent applications and the broadening of the objectives of patent analysis, there is a great demand for ubiquitous access to patent information and for flexible visualizations meeting the requirements of different groups of users. In this paper we propose new visualization techniques for patent information and approaches for interactively exploring this information in web based environments. We show how these visualizations can be integrated into existing web portals by using a new paradigm that we call Semantic Lens.

[1]  Piet Hut,et al.  A hierarchical O(N log N) force-calculation algorithm , 1986, Nature.

[2]  Marti A. Hearst,et al.  Animated exploration of dynamic graphs with radial layout , 2001, IEEE Symposium on Information Visualization, 2001. INFOVIS 2001..

[3]  M. V. Velzen,et al.  Self-organizing maps , 2007 .

[4]  Jeffrey Heer,et al.  prefuse: a toolkit for interactive information visualization , 2005, CHI.

[5]  Jeffrey Heer,et al.  Software Design Patterns for Information Visualization , 2006, IEEE Transactions on Visualization and Computer Graphics.

[6]  Anthony Ralston,et al.  Statistical Methods for Digital Computers. , 1980 .

[7]  Daniel O. Kutz Examining the evolution and distribution of patent classifications , 2004, Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004..

[8]  Thomas Ertl,et al.  Semantic lenses: Seamless augmentation of web pages with context information from implicit queries , 2007, Comput. Graph..

[9]  Kevin W. Boyack,et al.  Analysis of Patent Databases Using VxInsight , 2000 .

[10]  ChenChaomei,et al.  Visualizing a Knowledge Domain's Intellectual Structure , 2001 .

[11]  J. E. Jackson,et al.  Statistical Factor Analysis and Related Methods: Theory and Applications , 1995 .

[12]  David A. Duce,et al.  Scalable Vector Graphics SVG 1.0 Specification , 2000 .

[13]  Ray J. Paul,et al.  Visualizing a Knowledge Domain's Intellectual Structure , 2001, Computer.

[14]  Yiannis Kompatsiaris,et al.  Towards content-oriented patent document processing , 2008 .

[15]  Thomas Ertl,et al.  Application of Semantic Technologies for Representing Patent Metadata , 2006, GI Jahrestagung.

[16]  Chaomei Chen,et al.  Visualizing knowledge domains , 2005, Annu. Rev. Inf. Sci. Technol..

[17]  Yiannis Kompatsiaris,et al.  PATExpert: Semantic Processing of Patent Documentation , 2006, SAMT.

[18]  Andreas Neumann Scalable Vector Graphics (SVG) , 2008, Encyclopedia of GIS.