Abstract
Today, data are growing at a tremendous rate, and according to the International Data Corporation, it is expected they will reach 175 zettabytes by 2025. The International Data Corporation also forecasts that more than 150B devices will be connected across the globe by 2025, most of which will be creating data in real time, while 90 zettabytes of data will be created by Internet of things (IoT) devices. This vast amount of data creates several new opportunities for modern enterprises, especially for analyzing enterprise value chains in a broader sense. In order to leverage the potential of real data and build smart applications on top of sensory data, IoT-based systems integrate domain knowledge and context-relevant information. Semantic intelligence is the process of bridging the semantic gap between human and computer comprehension by teaching a machine to think in terms of object-oriented concepts in the same way as a human does. Semantic intelligence technologies are the most important component in developing artificially intelligent knowledge-based systems, since they assist machines in contextually and intelligently integrating and processing resources. This chapter aims at demystifying semantic intelligence in distributed, enterprise, and Web-based information systems. It also discusses prominent tools that leverage semantics, handle large data at scale, and address challenges (e.g., heterogeneity, interoperability, and machine learning explainability) in different industrial applications.
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Acknowledgments
The research the authors presented in this chapter is partly financed by the European Union (H2020 PLATOON, Pr. No: 872592; H2020 LAMBDA, Pr. No: 809965; H2020 SINERGY, Pr. No: 952140) and partly by the Ministry of Science and Technological Development of the Republic of Serbia and Science Fund of Republic of Serbia (Artemis).
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Janev, V. (2021). Semantic Intelligence in Big Data Applications. In: Jain, S., Murugesan, S. (eds) Smart Connected World. Springer, Cham. https://doi.org/10.1007/978-3-030-76387-9_4
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