@article{725847,
      recid = {725847},
      author = {Hameurlain, Abdelkader,},
      title = {Transactions on large-scale data- and knowledge-centered  systems XIX special issue on big data and open data /  [electronic resource] :},
      pages = {1 online resource (ix, 129 pages) :},
      note = {Includes index.},
      abstract = {The LNCS journal Transactions on Large-Scale Data- and  Knowledge-Centered Systems focuses on data management,  knowledge discovery, and knowledge processing, which are  core and hot topics in computer science. Since the 1990s,  the Internet has become the main driving force behind  application development in all domains. An increase in the  demand for resource sharing across different sites  connected through networks has led to an evolution of data-  and knowledge-management systems from centralized systems  to decentralized systems enabling large-scale distributed  applications providing high scalability. Current  decentralized systems still focus on data and knowledge as  their main resource. Feasibility of these systems relies  basically on P2P (peer-to-peer) techniques and the support  of agent systems with scaling and decentralized control.  Synergy between grids, P2P systems, and agent technologies  is the key to data- and knowledge-centered systems in  large-scale environments. This, the 19th issue of  Transactions on Large-Scale Data- and Knowledge-Centered  Systems, contains four high-quality papers investigating  the areas of linked data and big data from a data  management perspective. Two of the four papers focus on the  application of clustering techniques in performing  inference and search over (linked) data sources. One paper  leverages graph analysis techniques to enable  application-level integration of institutional data and a  final paper describes an approach for protecting users'  profile data from disclosure, tampering, and improper use.},
      url = {http://library.usi.edu/record/725847},
      doi = {https://doi.org/10.1007/978-3-662-46562-2},
}