Reference : Linked Vocabulary Recommendation Tools for Internet of Things: A Survey

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/37518

Title :	Linked Vocabulary Recommendation Tools for Internet of Things: A Survey
Language :	English
Author, co-author :	Kolbe, Niklas [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Kubler, Sylvain [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Robert, Jérémy [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Le Traon, Yves [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Zaslavsky, Arkady []
Publication date :	2019
Journal title :	ACM Computing Surveys
Publisher :	Association for Computing Machinery (ACM)
Peer reviewed :	Yes
ISSN :	0360-0300
Country :	United States
Keywords :	[en] Linked vocabularies ; Ontologies ; Semantic Web ; Internet of Things ; Open Ecosystems ; Linked Open Data
Abstract :	[en] 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 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 ndings include that (i) many tools neglect to thoroughly address both, the curation of a vocabulary collection and e ective selection mechanisms; (ii) modern information retrieval techniques are underrepresented; and (iii) the reviewed tools that emerged from Semantic Web use cases are not yet su ciently extended to t today’s IoT projects.
Permalink :	http://hdl.handle.net/10993/37518
Commentary :	Accepted for publication
Framework Programme / European Project :	H2020 ; 688203 - bIoTope - Building an IoT OPen innovation Ecosystem for connected smart objects

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	Fulltext file(s): File Commentary Version Size Access Open access vrt-survey-authorversion.pdf Accepted for publication Author preprint 1.2 MB View/Open

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