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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 language | English |
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Title of host publication | The Semantic Web |
Editors | Miriam Fernández, Amrapali Zaveri, Pascal Hitzler, Armin Haller, Krzysztof Janowicz, Karl Hammar, Alasdair J.G. Gray, Vanessa Lopez |
Number of pages | 16 |
Volume | 11503 |
Place of Publication | Portorož, Slovenia |
Publisher | Springer |
Publication date | 25 May 2019 |
Pages | 3-18 |
ISBN (Print) | 978-3-030-21347-3 |
ISBN (Electronic) | 978-3-030-21348-3 |
DOIs | |
Publication status | Published - 25 May 2019 |
Event | 16th International Semantic Web Conference, ESWC 2019 - Portorož, Slovenia Duration: 2 Jun 2019 → 6 Jun 2019 |
Conference
Conference | 16th International Semantic Web Conference, ESWC 2019 |
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Country/Territory | Slovenia |
City | Portorož |
Period | 02/06/2019 → 06/06/2019 |
Sponsor | Elsevier, et al., QualiChain, Semantic Web Company, Siemens, STI International |
Series | Lecture Notes in Computer Science |
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ISSN | 0302-9743 |
Fingerprint
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Poul Due Jensen Professorate in Big Data and Artificial Intelligence
Hose, K., Jendal, T. E. & Hansen, E. R.
01/11/2019 → 31/10/2024
Project: Research
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