Tehnički vjesnik, Vol. 22 No. 6, 2015.
Izvorni znanstveni članak
https://doi.org/10.17559/TV-20131118180118
PSALM – patent mining tool for competitive intelligence
Željko Tekić
orcid.org/0000-0001-6101-4447
; Skolkovo Institute of Science and Technology, Nobel Street 3, 143026 Moscow, Russia / University of Novi Sad, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
Miroslava Dražić
orcid.org/0000-0002-9728-493X
; RT-RK Institute for Computer Based Systems, Narodnog fronta 23a, 21000 Novi Sad, Serbia
Dragan Kukolj
; University of Novi Sad, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
Ljubiša Nikolić
; RT-RK Institute for Computer Based Systems, Narodnog fronta 23a, 21000 Novi Sad, Serbia
Sandra Kukolj
; RT-RK Institute for Computer Based Systems, Narodnog fronta 23a, 21000 Novi Sad, Serbia
Milana Vitas
; RT-RK Institute for Computer Based Systems, Narodnog fronta 23a, 21000 Novi Sad, Serbia
Sažetak
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.
Ključne riječi
clustering; competitive intelligence; decision-making; patents; PSALM; software; text mining; visualisation
Hrčak ID:
149372
URI
Datum izdavanja:
14.12.2015.
Posjeta: 3.491 *