2017-03-02
Discovering knowledge in online drug transactions using conceptual graphs and formal concept analysis
Publication
Publication
Presented at the
7th European Intelligence and Security Informatics Conference, EISIC 2016 (August 2016), Uppsala
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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| doi.org/10.1109/EISIC.2016.026, hdl.handle.net/1765/99133 | |
| 7th European Intelligence and Security Informatics Conference, EISIC 2016 | |
| Organisation | Rotterdam School of Management (RSM), Erasmus University |
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Orphanides, C., Akhgar, B., & Bayerl, S. (2017). Discovering knowledge in online drug transactions using conceptual graphs and formal concept analysis. In Proceedings - 2016 European Intelligence and Security Informatics Conference, EISIC 2016 (pp. 100–103). doi:10.1109/EISIC.2016.026 |
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