The Cycle of Trust in Mixed Service-Oriented Systems

Many collaboration platforms are realized as service-oriented systems enabling flexible compositions of services and support of interactions. Interactions between entities in such systems do not only span software services, but also human actors. A mixed service-oriented system is therefore composed of human and software services. In open environments, interactions between people and services are highly dynamic and often influenced by the role and reputation of collaboration partners. In this paper we present an architecture for the management of trust in such mixed systems environments. In contrast to traditional solutions that typically focus on the matching of actors’ skills and competencies with collaboration requirements only, we propose a trust-based ’feedback loop’ enabling the inference and consideration of trust relationships based on observed interactions. This cycle, spanning interaction monitoring, trust analysis, trust-enabled collaboration planning, and trust-supported execution of activities and tasks, permits dynamic and trust-aware collaborations in service-oriented environments

Modeling, enacting, and integrating custom crowdsourcing processes

Crowdsourcing (CS) is the outsourcing of a unit of work to a crowd of people via an open call for contributions. Thanks to the availability of online CS platforms, such as Amazon Mechanical Turk or CrowdFlower, the practice has experienced a tremendous growth over the past few years and demonstrated its viability in a variety of fields, such as data collection and analysis or human computation. Yet it is also increasingly struggling with the inherent limitations of these platforms: each platform has its own logic of how to crowdsource work (e.g., marketplace or contest), there is only very little support for structured work (work that requires the coordination of multiple tasks), and it is hard to integrate crowdsourced tasks into stateof-the-art business process management (BPM) or information systems. We attack these three shortcomings by (1) developing a flexible CS platform (we call it Crowd Computer, or CC) that allows one to program custom CS logics for individual and structured tasks, (2) devising a BPMN-based modeling language that allows one to program CC intuitively, (3) equipping the language with a dedicated visual editor, and (4) implementing CC on top of standard BPM technology that can easily be integrated into existing software and processes. We demonstrate the effectiveness of the approach with a case study on the crowd-based mining of mashup model patterns

HUC-HISF: A Hybrid Intelligent Security Framework for Human-centric Ubiquitous Computing

制度:新 ; 報告番号:乙2336号 ; 学位の種類:博士(人間科学) ; 授与年月日:2012/1/18 ; 早大学位記番号:新584

Modeling and Selection of Software Service Variants

Providers and consumers have to deal with variants, meaning alternative instances of a service?s design, implementation, deployment, or operation, when developing or delivering software services. This work presents service feature modeling to deal with associated challenges, comprising a language to represent software service variants and a set of methods for modeling and subsequent variant selection. This work?s evaluation includes a POC implementation and two real-life use cases

Coordinating Service Compositions : Model and Infrastructure for Collaborative Creation of Electronic Documents

Electronic documents frequently include contributions from different human and non-human sources. The Web, for instance, offers ever-changing content and services which can perform activities during document creation. This thesis introduces a solution for collaborative document creation which maps contributions of human and non-human participants to software services. The joint flexible composition and coordination of these services leads to a novel understanding of dynamic Web-based documents