%0 Generic %1 stavrakas2012diachronic %A Stavrakas, Yannis %A Papastefanatos, George %A Dalamagas, Theodore %A Christophides, Vassilis %D 2012 %K linkeddata lza preservation %T Diachronic Linked Data: Towards Long-Term Preservation of Structured Interrelated Information %U http://arxiv.org/abs/1205.2292 %X The Linked Data Paradigm is one of the most promising technologies for publishing, sharing, and connecting data on the Web, and offers a new way for data integration and interoperability. However, the proliferation of distributed, inter-connected sources of information and services on the Web poses significant new challenges for managing consistently a huge number of large datasets and their interdependencies. In this paper we focus on the key problem of preserving evolving structured interlinked data. We argue that a number of issues that hinder applications and users are related to the temporal aspect that is intrinsic in linked data. We present a number of real use cases to motivate our approach, we discuss the problems that occur, and propose a direction for a solution.

@misc{stavrakas2012diachronic, abstract = {The Linked Data Paradigm is one of the most promising technologies for publishing, sharing, and connecting data on the Web, and offers a new way for data integration and interoperability. However, the proliferation of distributed, inter-connected sources of information and services on the Web poses significant new challenges for managing consistently a huge number of large datasets and their interdependencies. In this paper we focus on the key problem of preserving evolving structured interlinked data. We argue that a number of issues that hinder applications and users are related to the temporal aspect that is intrinsic in linked data. We present a number of real use cases to motivate our approach, we discuss the problems that occur, and propose a direction for a solution.}, added-at = {2012-05-12T23:24:04.000+0200}, author = {Stavrakas, Yannis and Papastefanatos, George and Dalamagas, Theodore and Christophides, Vassilis}, biburl = {https://www.bibsonomy.org/bibtex/2777c838ff13daad243f4f51b24102ff8/acka47}, description = {[1205.2292] Diachronic Linked Data: Towards Long-Term Preservation of Structured Interrelated Information}, interhash = {8739de7127c676443258a5360c4a0c61}, intrahash = {777c838ff13daad243f4f51b24102ff8}, keywords = {linkeddata lza preservation}, note = {cite arxiv:1205.2292Comment: Presented at the First International Workshop On Open Data, WOD-2012 (http://arxiv.org/abs/1204.3726)}, timestamp = {2012-05-12T23:24:04.000+0200}, title = {Diachronic Linked Data: Towards Long-Term Preservation of Structured Interrelated Information}, url = {http://arxiv.org/abs/1205.2292}, year = 2012 }