Using contextual data for smart patent analysis

Alexander Ivanov, Zeljko Tekic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The patent system is a valuable source of information. Millions of patents have been issued and data contained in them is not represented in any other form. However, the usage of these data is not optimal. We believe that contextual data can be very useful in understanding better and using more patent data. This paper reports on developed algorithms, methods and obtained the results in matching patent data with contextual data. Such analytics increases the efficiency of solving patent-related tasks. We process and analyze vast amount of data which contains experts' opinions to accomplish this task.

Original languageEnglish
Title of host publicationProceedings - 8th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2016
PublisherIEEE Computer Society
Pages448-451
Number of pages4
ISBN (Electronic)9781509014453
DOIs
Publication statusPublished - 2 Jul 2016
Event8th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2016 - Luxembourg, Luxembourg
Duration: 12 Dec 201615 Dec 2016

Publication series

NameProceedings of the International Conference on Cloud Computing Technology and Science, CloudCom
Volume0
ISSN (Print)2330-2194
ISSN (Electronic)2330-2186

Conference

Conference8th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2016
Country/TerritoryLuxembourg
CityLuxembourg
Period12/12/1615/12/16

Keywords

  • algorithms
  • business intelligence
  • contextual data
  • patent analytics
  • patents

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