Metadata management for the web of things

Fortuna, Carolina; Oniga, Patricia; Padrah, Zoltan; Mohorčič, Mihael; Moraru, Alexandra

doi:10.1145/2379756.2379760

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…Openness provides better visibility for discovering, accessing, and deploying resources to the users and systems. Studies on openness have focused on building a set of knowledge bases for decades [14][15][16][17][18]. ese studies mainly consider a concept called metadata as a key component of building a knowledge base for defining objects characteristics.…”

Section: Literature Reviewmentioning

confidence: 99%

“…e ingsMetadata form provides various ways and data fields for objects in the real world to describe their profiles, sensor data types, processing sensed data, and so on. Previous studies have similarly considered these profiles [14][15][16][17][18]. Furthermore, our ingsMetadata has sensor data types that can be converted into meaningful states.…”

Section: • Knowledgebasementioning

confidence: 99%

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An Extensible Data Enrichment Scheme for Providing Intelligent Services in Internet of Things Environments

Park

Choi

2021

Mobile Information Systems

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Recent technologies in the Internet of Things (IoT) environment aim to provide intelligent services to users. Intelligent services can be managed and executed by systems that handle context information sets. Handling intelligent services leads to three major considerations: objects in the real world that should be described as metadata, a data enrichment procedure from sensing values for representing states, and controlling functionalities to manage services. In this study, an extensible data-enrichment scheme is proposed. The proposed scheme provides a way to describe profiles, data abstraction procedures, and functionalities that support the building of context information sets derived from raw datasets in the manner of a semantic web stack. Finally, data enrichment will help any system that uses context information by providing improved, understandable, and readable datasets to the service developers or the systems themselves.

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Section: Literature Reviewmentioning

confidence: 99%

Section: • Knowledgebasementioning

confidence: 99%

An Extensible Data Enrichment Scheme for Providing Intelligent Services in Internet of Things Environments

Park

Choi

2021

Mobile Information Systems

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“…Jeung et al [17] proposed a real-time approach for fusion and management of sensor stream data and metadata. Fortuna et al [18] compared embedded approaches against middleware approaches for metadata management for IoT. Most of these approaches are expert oriented as compared to our approach that focuses on the inclusion of non-experts through collaboration in metadata management.…”

Section: Related Workmentioning

confidence: 99%

A Collaborative Approach for Metadata Management for Internet of Things

Hassan

Bassora

Vahid

et al. 2013

Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

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There has been considerable efforts in modelling the semantics of Internet of Things and their specific context. Acquiring and managing metadata related to the physical devices and their surrounding environment becomes challenging due to the dynamic nature of environment. This paper focuses on managing metadata for Internet of Things with the help of crowds. Specifically, the paper proposes a collaborative approach for collecting and maintaining metadata through micro tasks that can be performed using variety of platforms e.g. mobiles, laptops, kiosks, etc. The approach allows non-experts to contribute towards metadata management through micro tasks, therefore resulting in reduced cost and time. Applicability of the proposed approach is demonstrated through a use case implementation for managing sensor metadata for energy management in small buildings.

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