Biomedical analyses are becoming increasingly complex, both for the type of data produced and the procedures necessary to obtain them. This trend is expected to continue; therefore the development of suitable systems for information and protocol management is becoming essential for the full exploitation of the field. Custom-built applications obtained by direct merging of software engineering expertise with domain specific knowledge may be temporary solutions, but they are generally ineffective both in terms of cost and performance. Here we propose a Laboratory Information Management System (LIMS) that enables the domain experts to express laboratory protocols using domain knowledge, free from the incidence and mediation of the software implementation artifacts. In the system that we propose this is made possible by basing the modeling language on an authoritative domain specific ontology.
Mapping OBI and XPDL to a MDE Framework for Laboratory Information Processing
CANNATA, Nicola;
2012-01-01
Abstract
Biomedical analyses are becoming increasingly complex, both for the type of data produced and the procedures necessary to obtain them. This trend is expected to continue; therefore the development of suitable systems for information and protocol management is becoming essential for the full exploitation of the field. Custom-built applications obtained by direct merging of software engineering expertise with domain specific knowledge may be temporary solutions, but they are generally ineffective both in terms of cost and performance. Here we propose a Laboratory Information Management System (LIMS) that enables the domain experts to express laboratory protocols using domain knowledge, free from the incidence and mediation of the software implementation artifacts. In the system that we propose this is made possible by basing the modeling language on an authoritative domain specific ontology.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
