The cost of reasoning with RDF updates
Al Azwari, Sana and Wilson, John N.; (2015) The cost of reasoning with RDF updates. In: Proceedings of the 9th IEEE International Conference on Semantic Computing (IEEE ICSC 2015). IEEE, Piscataway, New Jersey, United States, pp. 328-331. ISBN 9781479979356
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Abstract
Many real world RDF collections are large compared with other real world data structures. Such large RDF collections evolve in a distributed environment. Therefore, these changes between RDF versions need to be detected and computed in order to synchronize these changes to the other users. To cope with the evolving nature of the semantic web, it is important to understand the costs and benefits of the different change detection techniques. In this paper, we experimentally provide a detailed analysis of the overall process of RDF change detection techniques namely: explicit change detection, forward-inference change detection, backward-inference change detection and backward-inference and pruning change detection. The results show that pruning is relatively expensive by comparison with inferencing.
ORCID iDs
Al Azwari, Sana ORCID: https://orcid.org/0000-0002-6659-541X and Wilson, John N. ORCID: https://orcid.org/0000-0002-5297-657X;-
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Item type: Book Section ID code: 51690 Dates: DateEvent6 February 2015PublishedNotes: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 17 Feb 2015 11:38 Last modified: 02 Oct 2024 00:12 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/51690