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Karl Aberer

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Publications associées (297)

Please Sign to Save... : How Online Environmental Petitions Succeed

Philippe Cudré-Mauroux, Karl Aberer, Julia Proskurnia

Social media have become one of the key platforms to support the debate on climate change. In particular, Twitter allows easy information dissemination when running environmental campaigns. Yet, the dynamics of these campaigns on social platforms still rem ...

AAAI Press2016

A Multiagent System for Dynamic Data Aggregation in Medical Research

Karl Aberer, Michael Ignaz Schumacher, Alevtina Dubovitskaya

The collection of medical data for research purposes is a challenging and long-lasting process. In an effort to accelerate and facilitate this process we propose a new framework for dynamic aggregation of medical data from distributed sources. We use agent ...

Hindawi Publishing Corporation2016

Comparing Events Coverage in Online News and Social Media: The Case of Climate Change

Karl Aberer, Alexandra Olteanu, Carlos Castillo

Social media is becoming more and more integrated in the distribution and consumption of news. How is news in social media different from mainstream news? % This paper presents a comparative analysis covering a span of 17 months and hundreds of news events ...

2015

Fast Distributed Correlation Discovery Over Streaming Time-Series Data

Karl Aberer, Saket Sathe, Tian Guo

The dramatic rise of time-series data in a variety of contexts, such as social networks, mobile sensing, data centre monitoring, etc., has fuelled interest in obtaining real-time insights from such data using distributed stream processing systems. One such ...

2015

Cluster-based Aggregate Forecasting for Residential Electricity Demand using Smart Meter Data

Karl Aberer, Tri Kurniawan Wijaya, Samuel François Roger Joseph Humeau, Matteo Vasirani

While electricity demand forecasting literature has focused on large, industrial, and national demand, this paper focuses on short-term (1 and 24 hour ahead) electricity demand forecasting for residential customers at the individual and aggregate level. Si ...

2015

An Agent Framework for Dynamic Health Data Aggregation for Research Purposes

Karl Aberer, Michael Ignaz Schumacher, Alevtina Dubovitskaya

This paper presents a model of a MAS framework for dynamic aggregation of population health data for research purposes. The contribution of the paper is twofold: First, it describes a MAS architecture that allows one to built on the fly anonymized database ...

2015

A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration

Karl Aberer, Michael Ignaz Schumacher, Alevtina Dubovitskaya, Matteo Vasirani

In this paper, we address the problem of building an anonymized medical database from multiple sources. Our proposed solution defines how to achieve data integration in a heterogeneous network of many clinical institutions, while preserving data utility an ...

Springer International Publishing2015

Reactive Processing of RDF Streams of Events

Karl Aberer, Jean Paul Calbimonte Perez

Events on the Web are increasingly being produced in the form of data streams, and are present in many different scenarios and applications such as health monitoring, environmental sensing or social networks. The heterogeneity of event streams has raised t ...

2015

Towards a highly effective and robust Web credibility evaluation system

Karl Aberer, Xin Liu

By leveraging crowdsourcing, Web credibility evaluation systems (WCESs) have become a promising tool to assess the credibility of Web content, e.g., Web pages. However, existing systems adopt a passive Way to collect users' credibility ratings, which incur ...

Elsevier Science Bv2015

Result Selection and Summarization for Web Table Search

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên

The amount of information available on the Web has been growing dramatically, raising the importance of techniques for searching the Web. Recently, Web Tables emerged as a model, which enables users to search for information in a structured way. However, e ...

2015

OpenIoT: Open Source Internet-of-Things in the Cloud

Karl Aberer, Manfred Hauswirth, Ivana Podnar, Jean Paul Calbimonte Perez, Mehdi Riahi

Despite the proliferation of Internet-of-Things (IoT) platforms for building and deploying IoT applications in the cloud, there is still no easy way to integrate heterogeneous geographically and administratively dispersed sensors and IoT services in a sema ...

Springer2015

RoutineSense: A Mobile Sensing Framework for the Reconstruction of User Routines

Karl Aberer, Michele Catasta, Jean-Eudes Marie Ranvier, Matteo Vasirani

Modern smartphones are powerful platforms that have become part of the everyday life for most people. Thanks to their sensing and computing capabilities, smartphones can unobtrusively identify simple user states (e.g., location, performed activity, etc.), ...

2015

Minimizing Efforts in Validating Crowd Answers

Karl Aberer, Quoc Viet Hung Nguyen, Chi Thang Duong

In recent years, crowdsourcing has become essential in a wide range of Web applications. One of the biggest challenges of crowdsourcing is the quality of crowd answers as workers have wide-ranging levels of expertise and the worker community may contain fa ...

2015

SMART: A tool for analyzing and reconciling schema matching networks

Karl Aberer, Quoc Viet Hung Nguyen, Zoltán Miklós, Thành Tâm Nguyên, Tri Kurniawan Wijaya, Vình Tuàn Chàu

Schema matching supports data integration by establishing correspondences between the attributes of independently designed database schemas. In recent years, various tools for automatic pair-wise matching of schemas have been developed. Since the matching ...

2015

On crowdsensed data acquisition using multi-dimensional point processes

Karl Aberer, Saket Sathe

Crowdsensing applications are increasing at a tremendous rate. In crowdsensing, mobile sensors (humans, vehicle-mounted sensors, etc.) generate streams of information that is used for inferring high-level phenomena of interest (e.g, traffic jams, air pollu ...

IEEE2015

Online Unsupervised State Recognition in Sensor Data

Karl Aberer, Julien Eberle, Tri Kurniawan Wijaya

Smart sensors, such as smart meters or smart phones, are nowadays ubiquitous. To be "smart", however, they need to process their input data with limited storage and computational resources. In this paper, we convert the stream of sensor data into a stream ...

2015

Semantic Data Layers in Air Quality Monitoring for Smarter Cities

Karl Aberer, Jean Paul Calbimonte Perez, Julien Eberle

Air pollution is one of the key indicators for quality of life in urban environments, and is also the subject of global health concern, given the number of mortal diseases associated to exposure to pollutants. Assessing and monitoring air quality is an imp ...

2015

An Evaluation of Diversification Techniques

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên

Diversification is a method of improving user satisfaction by increasing the variety of information shown to user. Due to the lack of a precise definition of information variety, many diversification techniques have been proposed. These techniques, however ...

Springer2015

Tag-based Paper Retrieval: Minimizing User Effort with Diversity Awareness

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Son Thanh Do

As the number of scientific papers getting published is likely to soar, most of modern paper management systems (e.g. ScienceWise, Mendeley, CiteULike) support tag-based retrieval. In that, each paper is associated with a set of \emph{tags}, allowing user ...

2015

An Economic Analysis of Pervasive, Incentive-Based Demand Response

Karl Aberer, Tri Kurniawan Wijaya, Matteo Vasirani

Demand response (DR) emerges as one of the cheapest and greenest solutions to match supply and demand in the electricity sector. While DR has been focused on large and industrial consumers, pervasive implementation (by including residential consumers) is n ...

2015

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