Pierre Maret

Context-aware middleware architecture for vertical handover support to multi-homed nomadic mobile services

To accommodate the requirements such as high usability and personalization of 4G (mobile) networks, conventional handheld single network-interface mobile devices are evolving into multi-homed devices. Moreover, owing to the recent advances in the mobile middleware technologies, hardware technologies and association with the human user, handheld mobile devices are evolving into data producers and in turn acting as Nomadic Mobile Service (NMS) providers. For these devices, a vertical handover support is essential for the improved and reliable NMS delivery. Also, the fulfillment of the required QoS by the NMS is bounded by the end-to-end QoS (e2eQoS) provided by the underlying heterogeneous networks. To deal with these aspects, we propose a context-aware middleware architecture supporting vertical handover for the NMSs hosted on the handheld mobile devices. We emphasize the following features of the proposed middleware: 1) Context-aware computing based approach which uses an extensive set of context information collected from the mobile device and a fixed network; 2) Provisioning of and interaction with the end-to-end QoS (e2eQoS) predictions context source in the fixed network to obtain near-accurate estimation of the e2eQoS at a certain geographic location and to reduce unnecessary power usage in searching for available networks.

Towards business model and technical platform for the service oriented context-aware mobile virtual communities

The focus of existing virtual communities is centered on a particular product or social interaction and the role of mobile devices is restricted to exchange a limited amount of contents. Herewith we envisage that the upcoming virtual communities will exploit the potential of social interaction and context information to offer personalized services to its members and mobile devices will play a significant role in this process. As a step towards this direction, in this paper we propose a business model for the mobile virtual communities in which the mobile device takes on the role of a content producer and content consumer. Though there are a number of research issues which need to be addressed to realize such virtual communities, in this paper we focus on the service requirements, architecture and open source software implementation of a technical platform for the content producer and consumer mobile devices.

Performance evaluation of the context-aware handover mechanism for the nomadic mobile services in remote patient monitoring

Owing to the recent advances in the mobile middleware technologies, hardware technologies and association with the human user, handheld mobile devices are evolving into data producers and in turn acting as nomadic mobile service providers. For the nomadic mobile service hosted on a multi-homed handheld mobile device, context-awareness provides a capability of selecting the suitable network interface for the data transfer. This paper conducts a performance evaluation of the context-handover mechanism for the nomadic mobile services applied in the remote patient monitoring domain and hosted on a multi-homed handheld mobile device. The experimentation analyzes the suitability of a particular network for the data transfer, the effect of multi-homing on the remote patient monitoring application and the resource utilization on the mobile device. The performance analysis provides us useful insights, which are currently being exploited in the extended middleware architecture for the vertical handover support to the nomadic mobile services.

Semantic User Interaction Profiles for Better People Recommendation

In this paper we present a methodology for learning user profiles from content shared by people on Social Platforms. Such profiles are specifically tailored to reflect the users degree of interactivity related to the topics they are writing about. The main novelty in our work is the introduction of Linked Data in the content extraction process and the definition of specific scores to measure expertise and interactivity.

Modeling corporate knowledge within the agent oriented abstraction

An enterprise can be considered in a distributed computational paradigm. Multiagent systems have been invented to tackle such problems within artificial intelligence but are today seen also as a management methodology. The agent oriented abstraction has been proposed to describe in a fully generic way a society of agents. In this paper, we are investigating the application of this model to the abstract modeling of corporate knowledge. We show that such an abstraction mechanism leads to very practical applications whether on the web or on any other support and that it covers the broad scope of corporate knowledge. This approach can be further used to better simulate and support knowledge management processes.

Core techniques of question answering systems over knowledge bases: a survey

The Semantic Web contains an enormous amount of information in the form of knowledge bases (KB). To make this information available, many question answering (QA) systems over KBs were created in the last years. Building a QA system over KBs is difficult because there are many different challenges to be solved. In order to address these challenges, QA systems generally combine techniques from natural language processing, information retrieval, machine learning and Semantic Web. The aim of this survey is to give an overview of the techniques used in current QA systems over KBs. We present the techniques used by the QA systems which were evaluated on a popular series of benchmarks: Question Answering over Linked Data. Techniques that solve the same task are first grouped together and then described. The advantages and disadvantages are discussed for each technique. This allows a direct comparison of similar techniques. Additionally, we point to techniques that are used over WebQuestions and SimpleQuestions, which are two other popular benchmarks for QA systems.

Trill: A reusable Front-End for QA systems

The Semantic Web contains an enormous amount of information in the form of knowledge bases. To make this information available to end-users many question answering (QA) systems over knowledge bases were created in the last years. Their goal is to enable users to access large amounts of structured data in the Semantic Web by bridging the gap between natural language and formal query languages like SPARQL.

WDAqua-core0: A Question Answering Component for the Research Community

We describe and present a new Question Answering (QA) component that can be easily used by the QA research community.

A Service Oriented Framework for Mobile Business Virtual Communities

The rise of the availability of a variety of mobile devices in the personal and professional domains leads to an increased need of middleware and organizational structures. Due to the recent improvement of the computing power of mobile devices, mobile users may now also act as service providers. We design a service-oriented architecture to introduce mobile virtual communities enabling mobile devices to be used also as service providers.

Contextual recommendation of social updates, a tag-based framework

In this paper, we propose a framework to improve the relevance of awareness information about people and subjects, by adapting recommendation techniques to real-time web data, in order to reduce information overload. The novelty of our approach relies on the use of contextual information about peoples current activities to rank social updates which they are following on Social Networking Services and other collaborative software. The two hypothesis that we are supporting in this paper are: (i) a social update shared by person X is relevant to another person Y if the current context of Y is similar to Xs context at time of sharing; and (ii) in a web-browsing session, a reliable current context of a user can be processed using metadata of web documents accessed by the user. We discuss the validity of these hypothesis by analyzing their results on experimental data.