PSALM-alat za analizu konkurenata baziran na podacima iz patenta

Translated title of the contribution: Psalm-patent mining tool for competitive intelligence

Željko Tekić, Miroslava Dražić, Dragan Kukolj, Ljubiša Nikolić, Sandra Kukolj, Milana Vitas

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Patent document is a valuable source of information. However, it is neither easy to extract useful information from patents nor simple to track evidence about all patents that may be relevant. This paper describes PSALM (Patent Search and Analysis for Landscaping and Management), a recently developed software tool for competitive intelligence based on patent data. PSALM enables transformation of raw patent data into meaningful and useful information for business decision making. The tool is based on MySQL database and web robot, both supported by routines developed in Java and PHP. PSALM tool assembles patent data from publicly available data bases, collects and analyses bibliographic parameters of patents, but also does text mining and clustering. The objective of this paper is to describe the structure and functions of developed software, to show efficiency and accuracy of its modules (text processing, clustering, visualisation), as well as to demonstrate its usability through an in-depth case study.

Translated title of the contributionPsalm-patent mining tool for competitive intelligence
Original languageUndefined/Unknown
Pages (from-to)1433-1440
Number of pages8
JournalTehnicki Vjesnik
Volume22
Issue number6
DOIs
Publication statusPublished - 2015

Keywords

  • Clustering
  • Competitive intelligence
  • Decision-making
  • Patents
  • PSALM
  • Software
  • Text mining
  • Visualization

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