Document Type
Conference Proceeding
Publication Date
2016
Abstract
Linking Data initiatives have fostered the publication of large number of RDF datasets in the Linked Open Data (LOD) cloud, as well as the development of query processing infrastructures to access these data in a federated fashion. However, different experimental studies have shown that availability of LOD datasets cannot be always ensured, being RDF data replication required for envisioning reliable federated query frameworks. Albeit enhancing data availability, RDF data replication requires synchronization and conflict resolution when replicas and source datasets are allowed to change data over time, i.e., co-evolution management needs to be provided to ensure consistency. In this paper, we tackle the problem of RDF data co-evolution and devise an approach for conflict resolution during co-evolution of RDF datasets. Our proposed approach is property-oriented and allows for exploiting semantics about RDF properties during co-evolution management. The quality of our approach is empirically evaluated in different scenarios on the DBpedia-live dataset. Experimental results suggest that proposed proposed techniques have a positive impact on the quality of data in source datasets and replicas.
Repository Citation
Faisal, S.,
Endris, K. M.,
Shekarpour, S.,
Auer, S.,
& Vidal, M.
(2016). Co-Evolution of RDF Datasets. Lecture Notes in Computer Science, 9671, 225-243.
https://corescholar.libraries.wright.edu/knoesis/1125
DOI
10.1007/978-3-319-38791-8_13
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Presented at the 16th International Conference on Web Engineering, Lugano, Switzerland, June 6-9, 2016.
Available for download is the author's version of the proceeding. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-38791-8_13.