Paper Info
Title
Iterative integration of visual insights during patent search and analysis
Abstract
Patents are an important economic factor in today's globalized mar- kets. Therefore, the analysis of patent information has become an inevitable task for a variety of interest groups. The retrieval of re- levant patent information is an integral part of almost every patent analysis scenario. Unfortunately, the complexity of patent mate- rial inhibits a straightforward retrieval of all relevant patent docu- ments and leads to iterative, time-consuming approaches in prac- tice. With 'PatViz', a new system for interactive analysis of patent information has been developed to leverage iterative query refine- ment. PatViz supports users in building complex queries visually and in exploring patent result sets interactively. Thereby, the visual query module introduces an abstraction layer that provides uniform access to different retrieval systems and relieves users of the bur- den to learn different complex query languages. By establishing an integrated environment it allows for interactive reintegration of in- sights gained from visual result set exploration into the visual query representation. We expect that the approach we have taken is also suitable to improve iterative query refinement in other Visual Ana- lytics systems.
Year
DOI
Venue
2009
10.1109/VAST.2009.5333564
IEEE VAST
Keywords
Field
DocType
patent retrieval,multiple coordinated views,visual ana- lytics,information visualization,couplings,visualization,query language,law,data visualization,information analysis,data mining,visual analytics,information retrieval
Data mining,Query language,Data visualization,Result set,Query expansion,Information retrieval,Information visualization,Visualization,Computer science,Visual analytics,Patent visualisation
Conference
Citations 
PageRank 
References 
12
0.96
13
Authors
4
Name
Order
Citations
PageRank
Steffen Koch134126.58
Harald Bosch236119.16
Mark Giereth3746.78
Thomas Ertl44417401.52