Linked Vocabulary Recommendation Tools for Internet of Things: A Survey

The Semantic Web emerged with the vision of eased integration of heterogeneous, distributed data on the Web. The approach fundamentally relies on the linkage between and reuse of previously published vocabularies to facilitate semantic interoperability. In recent years, the Semantic Web has been per...

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Bibliographic Details
Published in:ACM computing surveys 2019-01, Vol.51 (6), p.1-31, Article 127
Main Authors: Kolbe, Niklas, Kubler, Sylvain, Robert, Jérémy, Le Traon, Yves, Zaslavsky, Arkady
Format: Article
Language:English
Subjects:
Computer science
Document types
Extra-functional properties
General and reference
Information retrieval
Information systems
Internet of Things
Interoperability
Semantic web
Semantics
Service discovery and interfaces
Software and its engineering
Software organization and properties
State of the art
Surveys and overviews
Web services
World Wide Web
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Summary:The Semantic Web emerged with the vision of eased integration of heterogeneous, distributed data on the Web. The approach fundamentally relies on the linkage between and reuse of previously published vocabularies to facilitate semantic interoperability. In recent years, the Semantic Web has been perceived as a potential enabling technology to overcome interoperability issues in the Internet of Things (IoT), especially for service discovery and composition. Despite the importance of making vocabulary terms discoverable and selecting the most suitable ones in forthcoming IoT applications, no state-of-the-art survey of tools achieving such recommendation tasks exists to date. This survey covers this gap by specifying an extensive evaluation framework and assessing linked vocabulary recommendation tools. Furthermore, we discuss challenges and opportunities of vocabulary recommendation and related tools in the context of emerging IoT ecosystems. Overall, 40 recommendation tools for linked vocabularies were evaluated, both empirically and experimentally. Some of the key findings include that (i) many tools neglect to thoroughly address both the curation of a vocabulary collection and effective selection mechanisms, (ii) modern information retrieval techniques are underrepresented, and (iii) the reviewed tools that emerged from Semantic Web use cases are not yet sufficiently extended to fit today’s IoT projects.
ISSN:0360-0300
1557-7341
DOI:10.1145/3284316