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. Author manuscript; available in PMC: 2018 Jun 28.
Published in final edited form as: Proc IEEE WIC ACM Int Conf Web Intell Intell Agent Technol. 2017 Aug;2017:1–9. doi: 10.1145/3106426.3109448

Figure 4.

Figure 4

(a)(i) Domain knowledge of traffic in the form of concepts and relationships (mostly causal) from the ConceptNet (a)(ii) Probabilistic graphical model (PGM) that explains the conditional dependencies between variables in traffic domain (only a portion is shown in the picture) is enriched by adding the missing random variables, links, and link directions extracted from ConceptNet. Figure 4(b) shows how this enriched PGM is used to correlate contextually related data of different modalities [3].