Discovering Knowledge in Online Drug Transactions Using Conceptual Graphs and Formal Concept Analysis

ORPHANIDES, Constantinos, AKHGAR, Babak and BAYER, Petra Saskia (2017). Discovering Knowledge in Online Drug Transactions Using Conceptual Graphs and Formal Concept Analysis. In: 2016 European Intelligence and Security Informatics Conference (EISIC). Institute of Electrical and Electronics Engineers, 100-103.

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Official URL: http://ieeexplore.ieee.org/document/7870199/
Link to published version:: 10.1109/EISIC.2016.026

Abstract

In this short paper, we describe a conceptual approach in which Conceptual Graphs (CGs) and Formal Concept Analysis (FCA) are employed towards knowledge discovery in online drug transactions. The transactions are acquired by performing Named-Entity Recognition (NER) on documents crawled from online public sources such as Twitter and Instagram, and are structured based on a CG ontology created to model such transactions. The drug transactions are then visualized using FCA as the knowledge discovery method.

Item Type: Book Section
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Identification Number: 10.1109/EISIC.2016.026
Depositing User: Carmel House
Date Deposited: 25 Apr 2017 13:20
Last Modified: 13 Jun 2017 13:58
URI: http://shura.shu.ac.uk/id/eprint/15597

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