A Web-based Model-driven Platform for Web Augmentation

The emergence of Web personalization allowed introducing improvements to an application that runs as a black box just considering those perceivable behaviors by the end-user. In spite of which mechanisms (personalization, customization, etc.) that a particular application supports; it is not realistic to state that any application, being idealized by few people (e.g., its owners), covers every single user´s needs. In this sense, users may have unsatisfied requirements. Nowadays available Web augmentations are making full use of server-side capabilities for meeting requirements. We present a Web Augmentation modeling approach contemplating a client-server application that hides the back-end complexity to users. In this work we present a Web CASE tool to model server-side behavior for Web augmentation. This tool provides a full web-based experience for designing and running Web augmentations that requires client and server-side components.Fil: Urbieta, Mario Matías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Informática; ArgentinaFil: Mahl, Franco. Universidad Nacional de La Plata. Facultad de Informática; ArgentinaFil: Rossi, Gustavo Héctor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Informática; ArgentinaFil: Bosetti, Gabriela Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Informática; Argentina15th International Conference on Web Information Systems and TechnologiesVienaAustriaInstituto de Sistemas y Tecnologías de Información, Control y ComunicaciónUniversidad Técnica de Vien

Influence of augmented humans in online interactions during voting events

The advent of the digital era provided a fertile ground for the development of virtual societies, complex systems influencing real-world dynamics. Understanding online human behavior and its relevance beyond the digital boundaries is still an open challenge. Here we show that online social interactions during a massive voting event can be used to build an accurate map of real-world political parties and electoral ranks. We provide evidence that information flow and collective attention are often driven by a special class of highly influential users, that we name "augmented humans", who exploit thousands of automated agents, also known as bots, for enhancing their online influence. We show that augmented humans generate deep information cascades, to the same extent of news media and other broadcasters, while they uniformly infiltrate across the full range of identified groups. Digital augmentation represents the cyber-physical counterpart of the human desire to acquire power within social systems.Comment: 11 page

Towards two-stage service representation and reasoning: from lightweight annotations to comprehensive semantics

Semantics are used to mark up a wide variety of data-centric Web resources but are not used to annotate online functionality in significant numbers. That is despite considerable research dedicated to Semantic Web Services (SWS). This has led to the emergence of a new Linked Services approach with simplified and less costly to produce service models, which targets a wider audience and allows even non-SWS developers to annotate services. However, such models merely aim at enabling semantic search by humans or automated service clustering rather than automation of service tasks such as discovery or orchestration. Thus, more expressive solutions are still required to achieve automated discovery and orchestration of services. In this paper, we describe our investigation into combining the strengths of two distinct approaches to modeling semantic Web services – 'lightweight' Linked Services and 'heavyweight' SWS automation - into a coherent SWS framework. In our vision, such integration is achieved by means of model cross-referencing and model transformation and augmentation

Ontology-based patterns for the integration of business processes and enterprise application architectures

Increasingly, enterprises are using Service-Oriented Architecture (SOA) as an approach to Enterprise Application Integration (EAI). SOA has the potential to bridge the gap between business and technology and to improve the reuse of existing applications and the interoperability with new ones. In addition to service architecture descriptions, architecture abstractions like patterns and styles capture design knowledge and allow the reuse of successfully applied designs, thus improving the quality of software. Knowledge gained from integration projects can be captured to build a repository of semantically enriched, experience-based solutions. Business patterns identify the interaction and structure between users, business processes, and data. Specific integration and composition patterns at a more technical level address enterprise application integration and capture reliable architecture solutions. We use an ontology-based approach to capture architecture and process patterns. Ontology techniques for pattern definition, extension and composition are developed and their applicability in business process-driven application integration is demonstrated

Fast and Robust Rank Aggregation against Model Misspecification

In rank aggregation, preferences from different users are summarized into a total order under the homogeneous data assumption. Thus, model misspecification arises and rank aggregation methods take some noise models into account. However, they all rely on certain noise model assumptions and cannot handle agnostic noises in the real world. In this paper, we propose CoarsenRank, which rectifies the underlying data distribution directly and aligns it to the homogeneous data assumption without involving any noise model. To this end, we define a neighborhood of the data distribution over which Bayesian inference of CoarsenRank is performed, and therefore the resultant posterior enjoys robustness against model misspecification. Further, we derive a tractable closed-form solution for CoarsenRank making it computationally efficient. Experiments on real-world datasets show that CoarsenRank is fast and robust, achieving consistent improvement over baseline methods

A Model-driven Approach for Empowering Advance Web Augmentation From Client-side to Server-side Support

Websites augmentations have been adopted as a mean for improving the User Experience of applications that often are not owned by the user. The augmentations alter the page in order to add, modify and even remove its content pursuing the satisfaction of a user’s need. However, these augmentations are limited to page modification or transcluding content from another site on Internet. Moreover, advance server-side based augmentations have been released only by developers because of the required technical skill for the task. In this work, we have presented a novel approach for designing Web Augmentation coping client-side and server side using a Model-Driven Web Engineering approach. The approach rises the abstraction level for server side developments allowing end-users to design, and even implement the new functionalities. Additionally, the approach uses advance separation of concern principles thus we provide a set of tools for designing the composition of the core application and the augmentation. We show as running example an augmentation that introduces a site community’s review support upon an agriculture e-commerce site.European Union Horizon 2020 No.62149Ministerio de Ciencia e Innovación 2016-76956-C3-2-R (POLOLAS

Pioneers, subcultures and cooperatives: The grassroots augmentation of urban places

About the book: There have been numerous possible scenarios depicted on the impact of the internet on urban spaces. Considering ubiquitous/pervasive computing, mobile, wireless connectivity and the acceptance of the Internet as a non extraordinary part of our everyday lives mean that physical urban space is augmented, and digital in itself. This poses new problems as well as opportunities to those who have to deal with it. This book explores the intersection and articulation of physical and digital environments and the ways they can extend and reshape a spirit of place. It considers this from three main perspectives: the implications for the public sphere and urban public or semi-public spaces; the implications for community regeneration and empowerment; and the dilemmas and challenges which the augmentation of space implies for urbanists. Grounded with international real -life case studies, this is an up-to-date, interdisciplinary and holistic overview of the relationships between cities, communities and high technologies