{"type":"ScholarlyArticle","title":"SiWare: Contextual Understanding of Industrial Data for Situational Awareness","authors":[{"name":"Anuradha Bhamidipaty","slug":"anuradha-bhamidipaty","given":"Anuradha","family":"Bhamidipaty","affiliation":"IBM Research"},{"name":"Elham Khabiri","slug":"elham-khabiri","given":"Elham","family":"Khabiri","affiliation":"IBM Research"},{"name":"Bhavna Agrawal","slug":"bhavna-agrawal","given":"Bhavna","family":"Agrawal","affiliation":"IBM Research"},{"name":"Yingjie Li","slug":"yingjie-li","given":"Yingjie","family":"Li","affiliation":"IBM Research"}],"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.","doi":"10.24963/ijcai.2023/829","url":"https://ijcai.org/proceedings/2023/829","pdf":"https://ijcai.org/proceedings/2023/0829.pdf","markdown":"https://ijcai.org/proceedings/2023/829.md","bibtex":"https://ijcai.org/proceedings/2023/bibtex/829","volume":{"slug":"2023","title":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2023","url":"https://ijcai.org/proceedings/2023/","year":2023,"location":"Macao, SAR","dates":"19-25 August 2023","editors":"Edith Elkind","isbn":"978-1-956792-03-4","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2023"},"section":"Demo Track","track":"Demo Track","number":829,"pages":{"first":7115,"last":7118},"keywords":["Knowledge Representation and Reasoning: KRR: Applications","Data Mining: DM: Mining heterogenous data","Natural Language Processing: NLP: Applications","Data Mining: DM: Knowledge graphs and knowledge base completion"],"videos":[],"references":[{"position":1,"raw":"[Al-Moslmi et al., 2020] Tareq Al-Moslmi, Marc Gallofré Ocaña, Andreas L Opdahl, and Csaba Veres. 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