Abstract
Business users must answer business questions quickly to address Business Intelligence (BI) needs. The bottleneck is to understand the complex databases schemas. Only few people in the IT department truly understand them. A holy grail is to empower business users to ask and answer their own questions with minimal IT support. Semantic technologies, now dubbed as Knowledge Graphs, become useful here. Even though the research and industry community has provided evidence that semantic technologies works in the real world, our experience is that there continues to be a major challenge: the engineering of ontologies and mappings covering enterprise databases containing thousands of tables with tens of thousands of attributes. In this paper, we present a novel and unique pay-as-you-go methodology that addresses the aforementioned difficulties. We provide a case study with a large scale e-commerce company where Capsenta’s Ultrawrap has been deployed in production for over 3 years.
At the time of submission, Capsenta was an independent company. It was acquired by data.world in mid 2019.
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Notes
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It is important to acknowledge that the term “Knowledge Graph” was coined in a marketing blogpost by Google in 2012. Nevertheless, this term encompasses the work of the Semantic Web community from the early 2000s, which builds on the research combining Logic and Data that can be traced to the 1970s. See http://knowledgegraph.today for more details.
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Which nowadays is being called Virtual Knowledge Graphs.
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Traditionally, this role has been called Knowledge Engineer. We decided to call it Knowledge Scientist so it can be on-par with the title of the “Data Scientist”.
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Sequeda, J.F., Briggs, W.J., Miranker, D.P., Heideman, W.P. (2019). A Pay-as-you-go Methodology to Design and Build Enterprise Knowledge Graphs from Relational Databases. In: Ghidini, C., et al. The Semantic Web – ISWC 2019. ISWC 2019. Lecture Notes in Computer Science(), vol 11779. Springer, Cham. https://doi.org/10.1007/978-3-030-30796-7_32
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