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Foundational Patterns Benchmark

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00361713" target="_blank" >RIV/68407700:21230/22:00361713 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.3233/AO-220274" target="_blank" >https://doi.org/10.3233/AO-220274</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3233/AO-220274" target="_blank" >10.3233/AO-220274</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Foundational Patterns Benchmark

  • Original language description

    Recently, there has been growing interest in the use of ontology as a fundamental tool for representing domain-specific conceptual models to improve the semantics, accuracy, and relevance of domain users’ query results. Although the amount of data has grown steadily over the past decade, much data shares similar characteristics that can be captured by a foundational ontology. In this paper, we show how queries based on a foundational ontology can be evaluated and their performance measured. We also present a Foundational Patterns benchmark to help select the most efficient triple memory and its layout. We evaluate the foundational benchmark with both generated and real datasets for state-of-the-art triple stores.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Applied Ontology

  • ISSN

    1570-5838

  • e-ISSN

    1875-8533

  • Volume of the periodical

    17

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    30

  • Pages from-to

    465-494

  • UT code for WoS article

    000893561200002

  • EID of the result in the Scopus database