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Linked Open Vocabulary Ranking and Terms Discovery

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Published:12 September 2016Publication 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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  • 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

    Copyright © 2016 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 12 September 2016

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    Acceptance Rates

    SEMANTiCS 2016 Paper Acceptance Rate18of85submissions,21%Overall Acceptance Rate40of182submissions,22%

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