Scenario driven data modelling: a method for integrating diverse sources of data and data streams.

ABSTRACT:

Background

Biology is rapidly becoming a data intensive, data-driven science. It is essential that data is represented and connected in ways that best represent its full conceptual content and allows both automated integration and data driven decision-making. Recent advancements in distributed multi-relational directed graphs, implemented in the form of the Semantic Web make it possible to deal with complicated heterogeneous data in new and interesting ways.

Results

This paper presents a new approach, scenario driven data modelling (SDDM), that integrates multi-relational directed graphs with data streams. SDDM can be applied to virtually any data integration challenge with widely divergent types of data and data streams. In this work, we explored integrating genetics data w

SUBMITTER: Griffith SD 

PROVIDER: S-EPMC3236839 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature