A UML profile for the conceptual modelling of structurally complex data

摘要: ContextDomains where data have a complex structure requiring new approaches for knowledge discovery from are on the increase. In such domains, information related to each object under analysis may be composed of very broad set interrelated instead being represented by simple attribute table. This further complicates their analysis. ObjectiveIt is becoming more and necessary model before in order assure that they properly understood, stored later processed. On this ground, we proposed UML extension able represent any structurally hierarchically ordered data. Conceptually modelled human comprehensible constitute starting point automating other tasks, as comparing items or generating reference models. MethodThe notation has been applied stabilometry field. Stabilometry medical discipline concerned with balance. We organized through an implementation based XML syntax. ResultsWe mining techniques resulting structured discovery. The sound results modelling domain wide-ranging confirm utility approach. ConclusionThe conceptual non-conventional important challenges. profile tested domain, obtaining satisfactory results. useful understanding tasks.