Extracting Patent-Related Information from Online Social Networks: Case of Facebook | Zendy

Alexander Ivanov | Zendy; Željko Tekić | Zendy

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Extracting Patent-Related Information from Online Social Networks: Case of Facebook

Author(s) -

Alexander Ivanov,

Željko Tekić

Publication year - 2017

Publication title -

annals of daaam for ... and proceedings of the ... international daaam symposium

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.253

H-Index - 14

eISSN - 2304-1382

pISSN - 1726-9679

DOI - 10.2507/28th.daaam.proceedings.060

Subject(s) - internet privacy , social media , cyberpsychology , world wide web , business , advertising , computer science

In this study, we investigate how to identify and extract patent-related information from Facebook, the largest online social network. In the first step, we identified a list of trustworthy sources we started search from. Then, we developed algorithms for extracting and filtering information, and based on them software tool that is able to identify and deliver a patent, the Facebook post where it is mentioned and news / blog article which discuss it. We did a pilot test and collected more than 50 examples of articles (and Facebook posts) that add value to the patent they refer to. We classified collected articles and discussed how they can be used. Finally, we outlined where developed tool can be applied.

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