The Data Value Quest: A Holistic Semantic Approach at Bosch
Creators
- 1. SIRIUS Centre, University of Oslo, Norway
- 2. Bosch Center for Artificial Intelligence, Germany
- 3. State Key Laboratory for Novel Software Technology, Nanjing University, China
- 4. Department of Computer Science, Oslo Metropolitan University, Norway
- 5. Bosch Center for Artificial Intelligence, Germany 3
Description
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 industries8.
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.
Files
Restricted
The record is publicly accessible, but files are restricted to users with access.