Information retrieval under the context of data- driven design (d3) in big-data

Authors

  • G.Niveditha, K.Gnana Mayuri, S.Harini Krishna

Abstract

The design information retrieval under the context of data- driven design (D3) during this big-data era. rather than retrieving information from particular data resources for specific design domains and activities in traditional design information retrieval, a stress on harnessing the facility of broad, noisy, real-world, large-scale data to facilitate the planning information retrieval from a general perspective. a stimulating point raised by this is often the way to utilize the info resources across domains under this big-data economy. In traditional methods, the info generated during a particular project or domain are going to be only utilized in this particular project and this particular domain. However, it might be valuable to explore ways of reusing the info from other seemly “irrelevant” domains or activities. One example is that the user behavior data are often applied into many domains like business, design, and healthcare. This raises the difficulty of knowledge sharing and reuse across domains.

Published

2020-11-01

Issue

Section

Articles