Modeling Metrics for Service Interpretation

Information plays a major role in various application domains like library, financial, HealthCare and so on. Information as a service in these domains is achieved by applying Service Oriented Approaches. Handling information about those services are important in discovering the appropriate services for exact matching of consumer requirements. So the available information about these services needs to be organized in a better way for efficient access. Interpreting the appropriate service from the service registry needs complete information of the service. Researchers have discussed basic forms of representing information about services through functional aspects that help in identifying the required web service. This information addressed does not fulfil the consumer requirements normally; hence an extended registry has to be provided with additional details of non-functional aspects in order to locate the exact service. The effect of these attributes on discovering a required service has to be measured. This paper focuses on formulating metrics for interpretation of services based on functional and non-functional aspects of a service. From the literature we have identified features for interpretation. These features have been considered as a focal point and a metric suite is proposed to address those features. Based on these metrics, a measure for service interpretability is proposed. To verify the effectiveness of our proposed metrics, an experiment has been designed and carried out. The result of the proposed metrics shows the effectiveness and improvement of service discovery which gives exact matches to consumer requirements.