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Linked Open Vocabulary Ranking and Terms Discovery

Published: 12 September 2016 Publication History

Abstract

Searching among the existing 500 and more vocabularies was never easier than today with the Linked Open Vocabularies (LOV) curated directory list. The LOV search provides one central point to explore the vocabulary terms space. However, it can be still cumbersome for non-experts or semantic annotation experts to discover the appropriate terms for the description of given website content. In this direction, the proposed approach is the cornerstone part of a methodology that aims to facilitate the selection of the highest ranked terms from the abundance of the registered vocabularies based on a keyword search. Moreover, it introduces for the first time the role of the contributors' background, which is retrieved from the LOV repository, in the ranking of the vocabularies. With this addition, we aim to address the issue of very low scores for the newly published vocabularies. The paper underlines the difficulty of selecting vocabulary terms through a survey and describes the approach that enables the ranking of vocabularies within the above mentioned methodology.

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  • (2023)Focused categorization power of ontologies: General framework and study on simple existential concept expressionsSemantic Web10.3233/SW-23340114:6(1209-1253)Online publication date: 13-Dec-2023
  • (2022)An Empirical Analysis of Knowledge Overlapping from Big Vocabulary in Biodiversity DomainProceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications10.1145/3575882.3575921(199-203)Online publication date: 22-Nov-2022
  • (2020)Knowledge Graphs for Online Marketing and Sales of Touristic ServicesInformation10.3390/info1105025311:5(253)Online publication date: 4-May-2020
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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 all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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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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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Cited By

View all
  • (2023)Focused categorization power of ontologies: General framework and study on simple existential concept expressionsSemantic Web10.3233/SW-23340114:6(1209-1253)Online publication date: 13-Dec-2023
  • (2022)An Empirical Analysis of Knowledge Overlapping from Big Vocabulary in Biodiversity DomainProceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications10.1145/3575882.3575921(199-203)Online publication date: 22-Nov-2022
  • (2020)Knowledge Graphs for Online Marketing and Sales of Touristic ServicesInformation10.3390/info1105025311:5(253)Online publication date: 4-May-2020
  • (2019)Popularity-Driven Ontology Ranking Using Qualitative FeaturesThe Semantic Web – ISWC 201910.1007/978-3-030-30793-6_19(329-346)Online publication date: 17-Oct-2019
  • (2016)Towards a Vocabulary Terms Discovery AssistantProceedings of the 12th International Conference on Semantic Systems10.1145/2993318.2993347(181-184)Online publication date: 12-Sep-2016

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