2014/10/19 by William Waites, Waites, William
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Advanced Database Systems and Queries #Biomedical Text Mining and Ontologies #Computer science #Data mining #Data science #Databases (cs.DB) #FOS: Computer and information sciences #Geology #Graph #Mathematics #Measure (data warehouse) #Order statistic #Provenance #Semantic Web and Ontologies #Statistic #Statistics #Summary statistics #Theoretical computer science #cs.DB
paper · pdf · doi:10.48550/arxiv.1410.5077
arxiv created 2014/10/19 · openalex publication_date 2014/10/19 · arxiv updated 2014/10/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
As the amount of linked data published on the web grows, attempts are being made to describe and measure it. However even basic statistics about a graph, such as its size, are difficult to express in a uniform and predictable way. In order to be able to sensibly interpret a statistic it is necessary to know how it was calculate. In this paper we survey the nature of the problem and outline a strategy for addressing it.