A Decentralized Architecture for Sharing and Querying Semantic Data

Christian Aebeloe*, Gabriela Montoya, Katja Hose

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

10 Citations (Scopus)
191 Downloads (Pure)

Abstract

Although the Semantic Web in principle provides access to a vast Web of interlinked data, the full potential remains mostly unexploited. One of the main reasons for this is the fact that the architecture of the current Web of Data relies on a set of servers providing access to the data. These servers represent bottlenecks and single points of failure that result in instability and unavailability of data at certain points in time. In this paper, we therefore propose a decentralized architecture (Piqnic) for sharing and querying semantic data. By combining both client and server functionality at each participating node, and introducing replication, Piqnic avoids bottlenecks and keeps datasets available and queryable although the original source might not be available. Our experimental results, using a standard benchmark of real datasets, show that Piqnic can serve as an architecture for sharing and querying semantic data, even in the presence of node failures.
Original languageEnglish
Title of host publicationThe Semantic Web
EditorsMiriam Fernández, Amrapali Zaveri, Pascal Hitzler, Armin Haller, Krzysztof Janowicz, Karl Hammar, Alasdair J.G. Gray, Vanessa Lopez
Number of pages16
Volume11503
Place of PublicationPortorož, Slovenia
PublisherSpringer
Publication date25 May 2019
Pages3-18
ISBN (Print)978-3-030-21347-3
ISBN (Electronic)978-3-030-21348-3
DOIs
Publication statusPublished - 25 May 2019
Event16th International Semantic Web Conference, ESWC 2019 - Portorož, Slovenia
Duration: 2 Jun 20196 Jun 2019

Conference

Conference16th International Semantic Web Conference, ESWC 2019
Country/TerritorySlovenia
CityPortorož
Period02/06/201906/06/2019
SponsorElsevier, et al., QualiChain, Semantic Web Company, Siemens, STI International
SeriesLecture Notes in Computer Science
ISSN0302-9743

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