Conjoint Knowledge Discovery Utilizing Data and Content with Applications in Business,Bio-medicine,Transport Logistics and Electrical Power Systems

In Digital Enterprises Structured Data and Semi/Unstructured Content are normally stored in two different repositories, with the first often being stored inrelational Databases and the second in a content manager which is frequently at an external outsourcer. This storage of complementary information in twodifferent silos has led to the information being processed and data mined separately which is undesirable. Effective knowledge and information use requiresseamless access and intelligent analysis of information in its totality to allow enterprises to gain enhanced insights. In this paper, we develop techniquesto carry out correlation of the information across different sources and then carryout out knowledge discovery across these complementary sources ina conjoint manner. The techniques developed in our research will then be used to address significant issues in four application areas namely Business,Logistics, Bioinformatics and Electric Power Systems but potential applications with significant impact are much more extensive.