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.
Full text not available from this repository.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 |
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Research Institute, Centre or Group - Does NOT include content added after October 2018: | Cultural Communication and Computing Research Institute > Communication and Computing Research Centre |
Identification Number: | https://doi.org/10.1109/EISIC.2016.026 |
Page Range: | 100-103 |
Depositing User: | Carmel House |
Date Deposited: | 25 Apr 2017 13:20 |
Last Modified: | 18 Mar 2021 17:31 |
URI: | https://shura.shu.ac.uk/id/eprint/15597 |
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