Describing Linked Datasets

By Keith Alexander, Richard Cyganiak, Michael Hausenblas, Jun Zhao. LDOW, 2009

395 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5d07969c985d28a896dfc18849e017abd3670275

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Citations in the corpus

Knowledge Graphs (2020, unknown): “In addition, resources such as the Vocabulary of Interlinked Datasets (VoID) [11] allow for representing meta-data about graphs, while services such as DataHub [45] provide a central repository of such dataset descriptions.”
Linked Data: Evolving the Web into a Global Data Space (2011, background): “Two primary mechanisms are available for publishing descriptions of a data set: Semantic Sitemaps [43] and voiD [5] descriptions.”
FedX: Optimization Techniques for Federated Query Processing on Linked Data (2011, methodology): “In a future release, (remote) statistics (e.g., using VoID [1]) can be incorporated for source selection and to further improve our join order algorithm.”
Binary RDF representation for publication and exchange (HDT) (2013, background): “The Vocabulary of Interlinked datasets (VoiD [3]) aims to bridge data publishers and data users, so that publishers can distribute the datasets (as a RDF dump, SPARQL Endpoints, etc.”
Linked Data - The Story So Far (2009, unknown): “The Vocabulary Of Interlinked Datasets (Alexander et al., 2009) defines terms and best practices to categorize and provide statistical metainformation about data sets as well as the linksets connecting them.”
Domain-specific Knowledge Extraction from the Web of Data (2018, methodology): “In [Görlitz and Staab 2011], the authors have used voID descriptions [Alexander and Hausenblas 2009] containing metadata about datasets, to build an index which can be incorporated in query processing to determine the relevant dataset for querying.”
Linked Open Vocabularies (LOV): A gateway to reusable semantic vocabularies on the Web (2016, methodology): “LOV regularly fetches LODStats raw data14 described using the Vocabulary of Interlinked Datasets (VoID) [1] and the Data Cube vocabulary.”