Foundational Patterns Benchmark

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Foundational Patterns Benchmark

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Foundational Patterns Benchmark

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Applied Ontology

ISSN

1570-5838

e-ISSN

1875-8533

Svazek periodika

17

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

30

Strana od-do

465-494

Kód UT WoS článku

000893561200002

EID výsledku v databázi Scopus

—