Cited By
View all- Haller APolleres ADobriy DFerranti NRodríguez Méndez S(2022)An Analysis of Links in WikidataThe Semantic Web10.1007/978-3-031-06981-9_2(21-38)Online publication date: 29-May-2022
Methods for Intrinsic Evaluation of Links in the Web of Data
Pages 68 - 84
Abstract
The current Web of Data contains a large amount of interlinked data. However, there is still a limited understanding about the quality of the links connecting entities of different and distributed data sets. Our goal is to provide a collection of indicators that help assess existing interlinking. In this paper, we present a framework for the intrinsic evaluation of RDF links, based on core principles of Web data integration and foundations of Information Retrieval. We measure the extent to which links facilitate the discovery of an extended description of entities, and the discovery of other entities in other data sets. We also measure the use of different vocabularies. We analysed links extracted from a set of data sets from the Linked Data Crawl 2014 using these measures.
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Published In
May 2017
687 pages
ISBN:978-3-319-58067-8
DOI:10.1007/978-3-319-58068-5
© Springer International Publishing AG 2017.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 28 May 2017
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View all- Haller APolleres ADobriy DFerranti NRodríguez Méndez S(2022)An Analysis of Links in WikidataThe Semantic Web10.1007/978-3-031-06981-9_2(21-38)Online publication date: 29-May-2022