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

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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. [Book Section]

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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.

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Official URL:

http://ieeexplore.ieee.org/document/7870199/

Research Institute, Centre or Group - Does NOT include content added after October 2018:

Cultural Communication and Computing Research Institute > Communication and Computing Research Centre

Page Range:

100-103

ISBN:

9781509028573

Identifiers

Identification Number:

10.1109/EISIC.2016.026