@article{1528,
  author = {Marius Octavian Olaru, Maurizio Vincini},
  title = {Integrating Multidimensional Information for the Benefit of Collaborative Enterprises},
  journal = {Journal of Digital Information Management},
  year = {2014},
  volume = {12},
  number = {4},
  doi = {},
  url = {http://dline.info/fpaper/jdim/v12i4/4.pdf},
  abstract = {Collaborative business making is emerging as a possible solution for the difficulties that Small and Medium Enterprises (SMEs) are having in the current difficult economic scenarios. Collaboration, as opposed to competition, provides a competitive advantage to companies and organizations that operate in a joint business structure. When dealing with multiple organizations, managers must access unified strategic information obtained from the knowledge repositories of each individual organization; unfortunately, traditional Business Intelligence (BI) tools are not designed with the aim of collaboration so the task becomes difficult from a managerial, organizational and technological point of view. To deal with this shortcoming, we provide an integration, mapping-based, methodology for heterogeneous Data Warehouses that aims at facilitating business stakeholders access to unified strategic information obtained from a network of heterogeneous collaborating SMEs. A complete formalization, based on graph theory and the RELEVANT clustering approach is provided together with experimental evaluation of the proposed methodology over real DW instances.},
}