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Enhancing marine industry risk management through semantic reconciliation of underwater IoT data streams

Enhancing marine industry risk management through semantic reconciliation of underwater IoT data streams
Enhancing marine industry risk management through semantic reconciliation of underwater IoT data streams
The “Rio+20” United Nations Conference on Sustainable Development (UNCSD) focused on the "Green economy" as the main concept to fight poverty and achieve a sustainable way to feed the planet. For coastal countries, this concept translates into "Blue economy", the sustainable exploitation of marine environments to fulfill humanity needs for resources, energy, and food. This puts a stress on marine industries to better articulate their processes to gain and share knowledge of different marine habitats, and to reevaluate the data value chains established in the past and to support a data fueled market that is going only to in the near future.

The EXPOSURES project is working in conjunction with the SUNRISE project to establish a new marine information ecosystem and demonstrate how the ‘Internet of Things’ (IoT) can be exploited for marine applications. In particular EXPOSURES engaged with the community of stakeholders in order to identify a new data value chain which includes IoT data providers, data analysts, and harbor authorities. Moreover we integrated the key technological assets that couple OGC standards for raster data management and manipulation and semantic technologies to better manage data assets.

This paper presents the identified data value chain along with the use cases for validating it, and the system developed to semantically reconcile and manage such data collections.
161-168
ACM
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Crowle, Simon
bee1e5f6-1d8d-4dc7-8312-622b7b1c89f8
Papay, Juri
21652b35-de29-439c-b343-cb3437ef2f9e
Boniface, Michael
f30bfd7d-20ed-451b-b405-34e3e22fdfba
Fensel, Anna
Zaveri, Amrapali
Hellmann, Sebastian
Pellegrini, Tassilo
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Crowle, Simon
bee1e5f6-1d8d-4dc7-8312-622b7b1c89f8
Papay, Juri
21652b35-de29-439c-b343-cb3437ef2f9e
Boniface, Michael
f30bfd7d-20ed-451b-b405-34e3e22fdfba
Fensel, Anna
Zaveri, Amrapali
Hellmann, Sebastian
Pellegrini, Tassilo

Correndo, Gianluca, Crowle, Simon, Papay, Juri and Boniface, Michael (2016) Enhancing marine industry risk management through semantic reconciliation of underwater IoT data streams. Fensel, Anna, Zaveri, Amrapali, Hellmann, Sebastian and Pellegrini, Tassilo (eds.) In SEMANTiCS 2016: Proceedings of the 12th International Conference on Semantic Systems. ACM. pp. 161-168 . (doi:10.1145/2993318.2993330).

Record type: Conference or Workshop Item (Paper)

Abstract

The “Rio+20” United Nations Conference on Sustainable Development (UNCSD) focused on the "Green economy" as the main concept to fight poverty and achieve a sustainable way to feed the planet. For coastal countries, this concept translates into "Blue economy", the sustainable exploitation of marine environments to fulfill humanity needs for resources, energy, and food. This puts a stress on marine industries to better articulate their processes to gain and share knowledge of different marine habitats, and to reevaluate the data value chains established in the past and to support a data fueled market that is going only to in the near future.

The EXPOSURES project is working in conjunction with the SUNRISE project to establish a new marine information ecosystem and demonstrate how the ‘Internet of Things’ (IoT) can be exploited for marine applications. In particular EXPOSURES engaged with the community of stakeholders in order to identify a new data value chain which includes IoT data providers, data analysts, and harbor authorities. Moreover we integrated the key technological assets that couple OGC standards for raster data management and manipulation and semantic technologies to better manage data assets.

This paper presents the identified data value chain along with the use cases for validating it, and the system developed to semantically reconcile and manage such data collections.

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More information

Accepted/In Press date: 30 June 2016
e-pub ahead of print date: 12 September 2016
Published date: 2016
Venue - Dates: SEMANTICS 2016: 12th International Conference on Semantic Systems, Germany, 2016-09-12 - 2016-09-15
Organisations: IT Innovation

Identifiers

Local EPrints ID: 397672
URI: http://eprints.soton.ac.uk/id/eprint/397672
PURE UUID: 6bc2858a-8c05-4f34-b9d4-51e27e12f0cb
ORCID for Gianluca Correndo: ORCID iD orcid.org/0000-0003-3335-5759

Catalogue record

Date deposited: 05 Jul 2016 09:49
Last modified: 02 Dec 2019 17:56

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Contributors

Author: Gianluca Correndo ORCID iD
Author: Simon Crowle
Author: Juri Papay
Author: Michael Boniface
Editor: Anna Fensel
Editor: Amrapali Zaveri
Editor: Sebastian Hellmann
Editor: Tassilo Pellegrini

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