Reference : Linked Vocabulary Recommendation Tools for Internet of Things: A Survey
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/37518
Linked Vocabulary Recommendation Tools for Internet of Things: A Survey
English
Kolbe, Niklas mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Kubler, Sylvain mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Robert, Jérémy mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Le Traon, Yves mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Zaslavsky, Arkady mailto []
Undated
ACM Computing Surveys
Association for Computing Machinery (ACM)
Yes (verified by ORBilu)
0360-0300
United States
[en] Linked vocabularies ; Ontologies ; Semantic Web ; Internet of Things ; Open Ecosystems ; Linked Open Data
[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.
http://hdl.handle.net/10993/37518
Accepted for publication
H2020 ; 688203 - bIoTope - Building an IoT OPen innovation Ecosystem for connected smart objects

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