From Data to Actionable Knowledge: Big Data Challenges in the Web of Things [Guest Editors' Introduction]
Open accessAbstract
Extending the current Internet and providing connection, communication, and internetworking between devices and physical objects, or "things," is a growing trend that's often referred to as the Internet of Things (IoT). Integrating real-world data into the Web, with its large repositories of data, and providing Web-based interactions between humans and IoT resources is what the Web of Things (WoT) stands for. Here, the guest editors describe the Big Data issues in the WoT, discuss the challenges of extracting actionable knowledge and insights from raw sensor data, and introduce the theme articles in this special issue.
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In a smart city environment where sensory devices gather data on citizen activities that can be accessed, several government and security agencies pose significant privacy concerns.
“In a smart city environment where sensory devices gather data on citizen activities that can be accessed, several government and security agencies pose significant privacy concerns (Barnaghi et al., 2013).”
From Critical analysis of Big Data challenges and analytical methods (2017) · cites this paper as Barnaghi et al., 2013
The Sensing and Data Collection section gives the same smart-city example: sensory devices collect data about citizen activities, and access by multiple agencies raises significant privacy and security concerns. It does not identify those agencies as government or security agencies; it specifically links the concerns to data ownership, storage duration, and types of use. (LLM, conf=0.85)
Experimental — accuracy not yet measuredLarge scale and sheer volume of data is a big challenge in its own right.
“Large scale and the sheer volume of data is a big challenge in its own right.”
From Critical analysis of Big Data challenges and analytical methods (2017) · cites this paper as Barnaghi et al. (2013)
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Cites
The SSN ontology of the W3C semantic sensor network incubator group
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Self-citationSemantics for the Internet of Things
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Self-citation
Flagged first, then by citations
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Cited by
Sorted by citations
Critical analysis of Big Data challenges and analytical methods
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.001 · Cited by 2,066 · see citing works
“In a smart city environment where sensory devices gather data on citizen activities that can be accessed, several government and security agencies pose significant privacy concerns (Barnaghi et al., 2013).”
BackgroundInfluentialWang, G., Gunasekaran, A., Ngai, E. W. T., & Papadopoulos, T. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2016.03.014 · Cited by 1,545 · see citing works
A survey towards an integration of big data analytics to big insights for value-creation
Saggi, M. K., & Jain, S. (2018) · Information Processing & Management · doi:10.1016/j.ipm.2018.01.010 · Cited by 494 · see citing works
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Mani, V., Delgado, C., Hazen, B., & Patel, P. (2017) · Sustainability · doi:10.3390/su9040608 · Cited by 160 · see citing works
Semantic reasoning for context-aware internet of things applications
Maarala, A. I., Su, X., & Riekki, J. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2587060 · Cited by 141 · see citing works
Rahman, H., & Hussain, M. I. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3902 · Cited by 119 · see citing works
Brous, P., Janssen, M., Schraven, D., Spiegeler, J., & Can Duzgun, B. (2017) · Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security · doi:10.5220/0006296300700079 · Cited by 41 · see citing works
- Authors
- Barnaghi, P., Sheth, A., & Henson, C.
- Affiliations
- University of Surrey (GB)
- Wright State University (US)
- Venue
- IEEE Intelligent Systems
- Published
- 2013-11
- Volume
- 28
- Issue
- 6
- Pages
- 6-11
- ISSN
- 1541-1672 (ISSN-L)
- OpenAlex
- W2004367952
- Cited by
- 182
- References
- 11
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 10 · 2023: 4 · 2022: 12 · 2021: 10 · 2020: 16 · 2019: 17 · 2018: 24 · 2017: 23 · 2016: 27 · 2015: 15 · 2014: 10
- FWCI
- 50.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- IEEE Intelligent Systems (publishedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Journal of Bioresource Management (submittedVersion)
- Open Research (University of Surrey) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Keywords
- Web of Things, Internet of Things, big data, actionable knowledge, sensor data, knowledge extraction, data-driven decision making
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