Authentication and traceability of extra virgin olive oil is a challenging research task due to the complexity of fraudulent practices. In this context, the monovarietal olive oils of Protected Designation of Origin (PDO) and Protected Geographical Indication (PGI) require new tests and cutting edge analytical technologies to detect mislabeling and misleading origin. Toward this direction, DNA-based technologies could serve as a complementary to the analytical techniques assay. Single nucleotide polymorphisms are ideal molecular markers since they require short PCR analytical targets which are a prerequisite for forensic applications in olive oil sector. In the present study, a small number of polymorphic SNPs were used with an SNP-based PCR-RFLP capillary electrophoresis platform to discriminate six out of 13 monovarietal olive oils of Mediterranean origin from three different countries, Greece, Tunisia, and Lebanon. Moreover, the high sensitivity of capillary electrophoresis in combination with the DNA extraction protocol lowered the limit of detection to 10% in an admixture of Tsounati in a Koroneiki olive oil matrix.
This article presents a framework for automatic generation and publishing of these service descriptions in a register. This framework is an Adaptable Intentional Web Service-Publishing Framework (AIWS-PF). The authors opted for automatic generation because the service supplier is unaware of this new structure of services. For this reason, they chose to automatically generate the description of intentional adaptable service using semantic annotations and the automatic detection of service intention through Natural Language Processing techniques (NLP). Moreover, the authors proposed an extension of UDDI register so that it saves intentional, contextual and QoS information.
Since the emergence of Web services and the diversity of user's devices, an emerging need for adapted web services appeared. In fact, users aim to find web services meeting their requests, contexts and desired QoS. In order to achieve this goal, we propose in this paper a framework to find and select adaptable web services. Our framework is named QoS-ASF and it is based on a multi-agent system.
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