A variety of approaches have been recently proposed to automatically infer users’ personality from their user generated content in social media. Approaches differ in terms of the machine learning algorithms and the feature sets used, type of utilized footprint, and the social media environment used to collect the data. In this paper, we perform a comparative analysis of state-of-the-art computational personality recognition methods on a varied set of social media ground truth data from Facebook, Twitter and YouTube. We answer three questions: (1) Should personality prediction be treated as a multi-label prediction task (i.e., all personality traits of a given user are predicted at once), or should each trait be identified separately? (2) Which predictive features work well across different on-line environments? and (3) What is the decay in accuracy when porting models trained in one social media environment to another?

The purpose of this paper is to demonstrate how a Virtual Enterprise Integration (VEI) project using Service-Oriented Architecture (SOA) and Enterprise Service Bus (ESB) can be effectively conducted by a virtual team of service brokers. Currently, VEI is accomplished through SOA and ESB using web services and business process engines that execute WSDL and WS-BPEL. To reengineer a Virtual Enterprise (VE) based on one or more legacy components, referred to as a legacy VE, the abstract and concrete parts of the relevant business processes of the VE need to be reverse engineered to a high level of abstraction. To develop new business processes, business process requirements need to be forward engineered into business processes in BPEL. However, service brokers need guidelines for comprehending the operations of the legacy VEs or for understanding the business process requirement. In order to provide clear communication of this information, we propose a UML model driven Business Process Development Methodology (BPDM) called mBPDM. We demonstrate its applicability and capabilities by applying it to two case studies: a loan application process system which involves reverse engineering and Washington State Patrol's Drug Recognition Evaluation system which involves forward engineering. Based upon the results of reverse and forward engineering of two virtual enterprise cases, the guidelines, which use UML as a blueprint with multi-architectural views, help service brokers understand the underlying process architecture and organization of a virtual enterprise that has been built using the SOA concept and the contemporary ESB.

The objective of this research is to seek the exact nature of how an organization should apply a service-oriented design to systems that were previously standalone heterogeneous applications. For this objective, three applications are developed and integrated by using a service-oriented architecture: a biometric attendance system, a surveillance system, and a point of sale system. Each application is classified by a combination of two properties: input or output heavy application, local or remote running application. Based upon the combination, two types of service-oriented integration approach, fully or partially Web serviced integration, are suggested according to the extent of the usage of Web services. Based upon the experiences gained from developing the three applications, the guidelines for adopting Web services are proposed when an organization is integrating applications.