What's new on the web?: the evolution of the web from a search engine perspective
Proceedings of the 13th international conference on World Wide Web
Ontology Matching
How is the Semantic Web evolving? A dynamic social network perspective
Computers in Human Behavior
Linked Data
Heuristics-based query optimisation for SPARQL
Proceedings of the 15th International Conference on Extending Database Technology
Managing the life-cycle of linked data with the LOD2 stack
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
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The Linked Data Paradigm is a promising technology for publishing, sharing, and connecting data on the Web, which provides new perspectives for data integration and interoperability. However, the proliferation of distributed, interconnected linked data sources on the Web poses significant new challenges for consistently managing the vast number of potentially large datasets and their interdependencies. In this article we focus on the key problem of preserving evolving structured interlinked data. We argue that a number of issues, which hinder applications and users, are related to the temporal aspect that is intrinsic in Linked Data. We present three use cases to motivate our approach, we discuss problems that occur, and propose a direction for a solution.