SiWare: Contextual Understanding of Industrial Data for Situational Awareness

Anuradha Bhamidipaty, Elham Khabiri, Bhavna Agrawal, Yingjie Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Demo Track. Pages 7115-7118.

https://doi.org/10.24963/ijcai.2023/829

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Abstract

SiWare is an AI-powered Knowledge Discovery system, that helps unlock new insights and accelerates data-driven decisions with contextualized Industrial data. SiWare links and fuses heterogeneous data sources with an industry semantic model leveraging multiple AI capabilities to provide system-wide visibility into operational characteristics. As part of this demo paper, we describe the requirements for such a system, and deployment aspects, and demonstrate the benefits in two industrial scenarios.

Keywords

  • Data Mining: DM: Mining heterogenous data
  • Data Mining: DM: Knowledge graphs and knowledge base completion
  • Natural Language Processing: NLP: Applications
  • Knowledge Representation and Reasoning: KRR: Applications
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