City Research Online

The Data Value Quest: A Holistic Semantic Approach at Bosch

Zhou, B., Zheng, Z., Zhou, D. , Cheng, G., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Tran, T. K., Stepanova, D., Gad-Elrab, M. H., Nikolov, N., Soylu, A. & Kharlamov, E. (2022). The Data Value Quest: A Holistic Semantic Approach at Bosch. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). The Semantic Web: ESWC 2022 Satellite Events. ESWC 2022, 29 May - 2 Jun 2022, Hersonissos, Crete, Greece. doi: 10.1007/978-3-031-11609-4_42


Modern industry witnesses a fast growth in volume and complexity of heterogeneous manufacturing (big) data thanks to the technological advances of Industry 4.0, including development in perception, communication, processing, and actuation. Data has become the new oil for industries. However, despite the effort and time invested in the data business, there still exists a big room for improvement in exploiting the value of data. In particular, data is still often scattered and stored in silos affecting its usage; a lot of data generated by sensors is not used in applications; companies possess precious data but do not have a trustworthy scheme to share its value; etc. There are certainly many ways to address these issues. In this paper we discuss the dimension of meaning in data and how we address it at Bosch in a holistic semantification fashion that bestows data with meanings which has always been important for humans to perceive, comprehend, reason, and produce. We believe the emphasis, the clarification, and the promotion of the eminent and profound roles of semantic technologies in the industry should lead to considerable opportunities for advances in technology, growth of profitability, and paradigm change in the industrial practice.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
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