From patent data to business intelligence - PSALM case studies

Zeljko Tekic, Miroslava Drazic, Dragan Kukolj, Milana Vitas

Research output: Contribution to journalConference articlepeer-review

13 Citations (Scopus)


This paper describes PSALM, a recently developed software tool for business intelligence and its functionality through several case studies. Patent Search and Analysis for Landscaping and Management (PSALM) tool assembles patent data from publicly available data bases, collects and analyses bibliographic parameters of patents but also does text mining. High-dimensional data contained in the patent documents are transformed into much lower dimensionality space (2D or 3D), clustered and visualized. The PSALM functionality and usability is demonstrated through three case studies of analyzing, comparing and evaluating strengths and weaknesses of different patent portfolios.

Original languageEnglish
Pages (from-to)296-303
Number of pages8
JournalProcedia Engineering
Publication statusPublished - 2014
Externally publishedYes
Event2013 24th DAAAM International Symposium on Intelligent Manufacturing and Automation - Zadar, Croatia
Duration: 23 Oct 201326 Oct 2013


  • Business intelligence
  • Case studies
  • Patent data


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