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Towards a Vocabulary Terms Discovery Assistant

Published: 12 September 2016 Publication History

Abstract

The Linked Open Vocabularies (LOV) curated directory list of vocabularies has changed radically the way that engineers are assisted to explore the vocabulary space by searching for terms and vocabularies using the provided keyword based search. Running a survey regarding the decision of the vocabulary terms that can be used to annotate a specific webpage, we realised the gap between the vocabulary creators side and the vocabulary users. In this direction, the presented framework, namely the LOVR framework, aims to facilitate the vocabulary terms discovery by providing a Web service with a set of endpoints that can be invoked to get a list of recommended terms for a given webpage. Within this work, we present the framework architecture and the fundamental parts of the prototype that implements the methodology behind the LOVR framework, which leverages the LOV search. Furthermore, the various endpoints of the Web service are described by explaining their usage scenarios.

References

[1]
G. A. Atemezing and R. Troncy. Information content based ranking metric for Linked Open Vocabularies. In Proceedings of the 10th International Conference on Semantic Systems, pages 53--56. ACM, 2014.
[2]
A. S. Butt. Ontology search: Finding the right ontologies on the Web. In Proceedings of the 24th International Conference on World Wide Web Companion, pages 487--491. International World Wide Web Conferences Steering Committee, 2015.
[3]
M. B. Ellefi, Z. Bellahsene, and K. Todorov. Datavore: a vocabulary recommender tool assisting Linked Data modeling. Proceedings of ISWC Posters & Demonstrations Track, 2015.
[4]
I. Stavrakantonakis, A. Fensel, and D. Fensel. Linked Open Vocabulary recommendation based on ranking and Linked Open Data. In Proceedings of the 5th Joint International Semantic Technology Conference. Springer, 2015.
[5]
I. Stavrakantonakis, A. Fensel, and D. Fensel. Linked Open Vocabulary ranking and terms discovery. In Proceedings of the SEMANTiCS 2016. ACM, 2016.
[6]
P.-Y. Vandenbussche, G. A. Atemezing, M. Poveda-Villalón, and B. Vatant. Linked Open Vocabularies (LOV): a gateway to reusable semantic vocabularies on the Web. Semantic Web, (Preprint):1--16, 2015.

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  • (2025)Recommender Systems for Unified Modeling Language and Vice Versa—A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2025.353552713(23426-23460)Online publication date: 2025

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Published In

cover image ACM Other conferences
SEMANTiCS 2016: Proceedings of the 12th International Conference on Semantic Systems
September 2016
207 pages
ISBN:9781450347525
DOI:10.1145/2993318
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

  • Ghent University: Ghent University
  • AIT: Austrian Institute of Technology
  • Stanford University: Stanford University
  • Wolters Kluwer: Wolters Kluwer, Germany
  • Semantic Web Company: Semantic Web Company

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2016

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Author Tags

  1. ontology search
  2. semantic annotation
  3. vocabulary term

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  • Demonstration
  • Research
  • Refereed limited

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SEMANTiCS 2016

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SEMANTiCS 2016 Paper Acceptance Rate 18 of 85 submissions, 21%;
Overall Acceptance Rate 40 of 182 submissions, 22%

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  • (2025)Recommender Systems for Unified Modeling Language and Vice Versa—A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2025.353552713(23426-23460)Online publication date: 2025

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