Enriching An Academic knowledge base using Linked Open Data
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Enriching Wikidata with Linked Open Data
Large public knowledge graphs, like Wikidata, contain billions of statements about tens of millions of entities, thus inspiring various use cases to exploit such knowledge graphs. However, practice shows that much of the…
Entity AlignmentKnowledge GraphsEnriching Linked Datasets with New Object Properties
Although several RDF knowledge bases are available through the LOD initiative, the ontology schema of such linked datasets is not very rich. In particular, they lack object properties. The problem of finding new object p…
ObjectS2ORC: The Semantic Scholar Open Research Corpus
We introduce S2ORC, a large corpus of 81.1M English-language academic papers spanning many academic disciplines. The corpus consists of rich metadata, paper abstracts, resolved bibliographic references, as well as struct…
Language ModellingUsing Titles vs. Full-text as Source for Automated Semantic Document Annotation
A significant part of the largest Knowledge Graph today, the Linked Open Data cloud, consists of metadata about documents such as publications, news reports, and other media articles. While the widespread access to the d…
ArticlesClassificationDocument ClassificationGeneral Classification+4SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples
We present SemOpenAlex, an extensive RDF knowledge graph that contains over 26 billion triples about scientific publications and their associated entities, such as authors, institutions, journals, and concepts. SemOpenAl…
Recommendation Systems