Adoption of the Linked Data Best Practices in Different Topical Domains

By M. Schmachtenberg, Christian Bizer, Heiko Paulheim. International Workshop on the Semantic Web, 2014

426 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/bd6c40d2d82b44778844b92a8f86a66126d80697

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Petar Ristoski
2. Gerben de Vries
3. Heiko Paulheim
4. María Poveda-Villalón
5. Olaf Hartig
6. Ruben Verborgh
7. Xiaohan Zou
8. Pieter Colpaert

In Information Systems

1. Petar Ristoski
2. Gerben de Vries
3. Heiko Paulheim
4. María Poveda-Villalón
5. Olaf Hartig
6. Xiaohan Zou

In Molecular Biology

1. Petar Ristoski
2. Gerben de Vries
3. Heiko Paulheim

Citations in the corpus

• Linked Open Vocabularies (LOV): A gateway to reusable semantic vocabularies on the Web (2016, background): “These kinds of requirements are not always taken into account in the aforementioned work: for instance, the authors in [28] define the notion of partly dereferenceable for vocabularies.”
• RDF2Vec: RDF Graph Embeddings for Data Mining (2016, background): “Linked Open Data (LOD) [29] has been recognized as a valuable source of back-”
• A Collection of Benchmark Datasets for Systematic Evaluations of Machine Learning on the Semantic Web (2016, background): “Those datasets are either existing RDF datasets, or external classification or regression problems, for which the instances have been enriched with links to the Linked Open Data cloud [14].”
• Semantic Web in data mining and knowledge discovery: A comprehensive survey (2016, background): “However, we want to put a stronger focus on the usage of Linked Open Data (LOD) in the process of knowledge discovery, which represents a publicly available interlinked collection of datasets from various topical domains [3,4].”
• Knowledge Graphs (2020, neutral): “[462] identify the most prominent domains in the context of Linked Data as follows: media, relating to news, television, radio, etc.”
• A Survey on Application of Knowledge Graph (2020, background): “Until 2014, approximately 1,000 datasets are linked with each other in the Linked Open Data cloud, most links between them connect identical entities [3].”
• Triple Pattern Fragments: A low-cost knowledge graph interface for the Web (2016, background): “Fortunately, Tim Berners-Lee’s credo “Raw data now” has caught on, and now more knowledge graphs exist as Linked Data than ever before [2].”
• Knowledge graph refinement: A survey of approaches and evaluation methods (2016, background): “To date, roughly 1,000 datasets are interlinked in the Linked Open Data cloud, with the majority of links connecting identical entities in two datasets [92].”