Miguel Jiménez

Leveraging the Upcoming Internet of Services through an Open User-Service Front-End Framework

The Internet of the Future is expected to be composed of a mesh of interoperable Web Services accessed from all over the Web. This approach has not yet caught on since a global user-service interaction is still an open issue. This paper states our position with regard to the next generation front-end technology for the Internet of the Future. This approach will enable the massive deployment of services over the Internet in a user-centric fashion. This paper advocates the full development of front-end technologies to bring services closer to users, empowering them anytime and anywhere. It also outlines all the main gaps and technological challenges that have to be addressed. Finally, a model and an architecture are proposed for building these technologies into NESSIs Open Framework Reference Architecture, NEXOF-RA.

Delivering Mobile Enterprise Services on Morfeo’s MC Open Source Platform

This paper discusses the rationale behind Telef´onica’s strategic decision for Enterprise Mobility Solutions and presents MorfeoMC: an open source vertical componentbased platform for rapidly developing mobile applications and services that can be used to create comprehensive and integrated mobility solutions while concealing the complexity involved in managing multiple devices. The key architectural decisions in MorfeoMC are described, and the reasoning behind their selection is presented and compared with related work. For these purposes, the paper focuses on the MorfeoMC’s Rendering Layer, and describes how it allows for the development of applications and services according to a Channel Model supported by the principles of Service Oriented Architectures (SOA). It is stressed how this approach avoids the need for duplicating the services that implement the business logic when another access channel is added, thanks to its architecture of code generators. Finally, other key elements and techniques in MorfeoMC are also discussed.

SemanticWeb Content Adaptation and Services Delivery on Morfeo’s Semantic Mobility Channel

Content adaptation is crucial for universal Web access under varying conditions that may depend on device capabilities, network connectivity, user preferences, or user disabilities. Semantic annotations provide additional information about Web contents so that a content adaptation engine, based on Semantic Web technologies, can make better decisions on content repurposing. This paper presents MorfeoSMC: an open source advanced component-based platform that enables the development of semantics-aware mobile applications and services, and that solves the problem of how to make Web content usable on mobile devices. In particular, the paper focuses on how MorfeoSMC tackles the use of semantic markup in the information rendered for users through the mobility platform and in the Web content adaptation process. It also presents an innovative semantic matching framework for both services delivered in mobile environments and Web contents produced by these services. This framework is at the core of the semantics-aware Web content adaptation process.

Enabling semantics-aware collaborative tagging and social search in an open interoperable tagosphere

To make the most of a global network effect and to search and filter the Long Tail, a collaborative tagging approach to social search should be based on the global activity of tagging, rating and filtering. We take a further step towards this objective by proposing a shared conceptualization of both the activity of tagging and the organization of the tagosphere in which tagging takes place. We also put forward the necessary data standards to interoperate at both data format and semantic levels. We highlight how this conceptualization makes provision for attaching identity and meaning to tags and tag categorization through a Wikipedia-based collaborative framework. Used together, these concepts are a useful and agile means of unambiguously defining terms used during tagging, and of clarifying any vague search terms. This improves search results in terms of recall and precision, and represents an innovative means of semantics-aware collaborative filtering and content ranking.

Explicit Context Matching in Content-Based Publish/Subscribe Systems

Although context could be exploited to improve performance, elasticity and adaptation in most distributed systems that adopt the publish/subscribe (P/S) communication model, only a few researchers have focused on the area of context-aware matching in P/S systems and have explored its implications in domains with highly dynamic context like wireless sensor networks (WSNs) and IoT-enabled applications. Most adopted P/S models are context agnostic or do not differentiate context from the other application data. In this article, we present a novel context-aware P/S model. SilboPS manages context explicitly, focusing on the minimization of network overhead in domains with recurrent context changes related, for example, to mobile ad hoc networks (MANETs). Our approach represents a solution that helps to efficiently share and use sensor data coming from ubiquitous WSNs across a plethora of applications intent on using these data to build context awareness. Specifically, we empirically demonstrate that decoupling a subscription from the changing context in which it is produced and leveraging contextual scoping in the filtering process notably reduces (un)subscription cost per node, while improving the global performance/throughput of the network of brokers without altering the cost of SIENA-like topology changes.

Correlation of Context Information for Mobile Services

Location Based Services are a key driver in todays telecom market, even if the power of Location Based Services is not nearly exhausted in nowadays telecom systems. To build intuitive Location Based Services for mobile handsets one success factor is to cover a broad range of mobile handsets available on the market and to make the services context aware. Within the EUREKA project MyMobileWeb we implement a framework to obtain contextual information from handsets using various capabilities of the mobiles. Contextual Information is every information we can obtain from the handset and that can be used for any kind of service. The most obvious information is location information. Within our framework we built an architecture that can obtain location information from various sources and is not bound to any special handset capability. Furthermore the architecture can be used to obtain various other context information, such as e.g. battery level. This information in addition is then used to offer special services to the customer. For this a correlation of the context information has to be done, which is based on a correlation engine for contextual information. This paper presents a framework that can handle and correlate contextual information in a very flexible way.

A Peer-to-Peer Architecture for Distributed Data Monetization in Fog Computing Scenarios

Modern IoT deployments do require considerable investments that might only be justified if the data being gathered could be monetized, which leads to the need for a digital data marketplace. In many cases, the provider of the IoT data needs to process it locally for data curation, aggregation, stream processing, etc. At the same time, the consumer could be interested in nearby data. This scenario resembles a fog computing architecture where companies require being able, keeping data under their control, to securely make it available to other companies in a peer-to-peer fashion, without needing a cloud intermediary (like traditional marketplaces do), thus maximizing the locality of the processing and avoiding the existence of a bottleneck when the intermediary makes the data delivery for accounting purposes. Nevertheless, this imposes a hard requirement: by not having a central marketplace, the peers (seller and customer) need to trust each other, which, in turn, requires enforcing a nonrepudiation schema. In this paper, the authors propose a distributed peer-to-peer architecture for such a data marketplace that takes advantage of the architectural fundamentals of fog computing, in which data processing, filtering, and stream based event generation is done in a fog node along with the data, and where relationships, both commercial agreements and data delivery, are performed directly between producers and consumers without the need of mutual trust thanks to the usage of blockchain principles (e.g., distributed ledger, consensus mechanism). The proposed architecture is validated through a case study involving a set of key issues regarding nonrepudiation commonly identified when moving from a centralized marketplace to a distributed one. Moreover, it is shown that the proposed solution does not bring in any limitation with regard to a centralized marketplace solution, in terms of pricing models (subscriptions, pay-per-use, etc.) or usage conditions (contract duration, updates rate, etc.).

Information agents for optimal repurposing and personalization of web contents in semantics-aware ubiquitous and mobile computing environments

Web contents repurposing and personalization is becoming crucial for enabling ubiquitous Web access from a wide range of mobile devices under varying conditions that may depend on device capabilities, network connectivity, navigation context, user preferences, user disabilities and existing social conventions. Semantic annotations can provide additional information so that a content adaptation engine, based on the holistic integration of both Information Agents and Semantic Web technologies, can make better decisions, leading to optimal results in terms of legibility and usability. Bearing this in mind, this paper presents the rationale behind MorfeoSMC: an open source mobility platform that enables the development of semantics-aware mobile applications and services in order to provide improved Web accessibility and increase social inclusion. In particular, the paper focuses on how MorfeoSMC information agents tackle the use of semantic markup in the information rendered for users through the mobility platform and as part of a user-interest profile-aware and navigation context-aware Web content adaptation process. It also presents an innovative semantic matching framework that is at the core of this semantics-aware Web content adaptation process.