Computer science is playing a driving role in transforming today's society through information technology. In this transformation we observe power shifts increasingly strengthening centralised organisations, which are negatively perceived by many people. W ...

Ieee Computer Soc2017

Distributed Cache Table: Efficient Query-Driven Processing of Multi-Term Queries in P2P Networks

Karl Aberer, Gleb Skobeltsyn

The state-of-the-art techniques for processing multi-term queries in P2P environments are query flooding and inverted list intersection. However, it has been shown that due to scalability reasons both methods fail to support full-text search in large scale ...

2006

Towards the Realization of Decentralized Online Social Networks: an Empirical Study

Karl Aberer, Rammohan Narendula

As the Online Social Networks (OSNs) amass unprecedented amounts of personal information, the privacy concerns gain considerable attention from the community. Apart from privacy-enabling approaches for existing OSNs, a number of initiatives towards buildin ...

2012

Collaborative Schema Matching Reconciliation

Karl Aberer, Zoltán Miklós

Schema matching is the process of establishing correspondences between the attributes of database schemas for data integration purpose. Although several schema matching tools have been developed, their results are often incomplete or erroneous. To obtain c ...

Springer-Verlag Berlin2013

Model-View Sensor Data Management in the Cloud

Karl Aberer, Tian Guo

Infinite nature of sensor data poses a serious challenge for query processing even in a cloud infrastructure. Model-based sensor data approximation reduces the amount of data for query processing, but all modeled segments need to be scanned, in the worst c ...

IEEE2013

Knowing When to Slide: Efficient Scheduling for Sliding Window Processing

Karl Aberer, Sebastian Michel, Mehdi Riahi

We consider sliding window query execution scheduling in stream processing engines. Sliding windows are an essential building block to limit the query focus at a particular part of the stream, based either on value count or time ranges. These so called sli ...

IEEE Computer Society2009

Building a Front End for a Sensor Data Cloud

Karl Aberer, Michele Catasta, Zoltán Miklós, Ho Young Jeung

This document introduces the TimeCloud Front End, a web-based interface for the TimeCloud platform that manages large-scale time series in the cloud. While the Back End is built upon scalable, fault-tolerant distributed systems as Hadoop and HBase and take ...

Springer Berlin / Heidelberg2011

Self-Organizing Schema Mappings in the GridVine Peer Data Management System

Karl Aberer, Philippe Cudré-Mauroux, Adriana Budura, Parisa Haghani

GridVine is a Peer Data Management System based on a decentralized access structure. Built following the principle of data independence, it separates a logical layer -- where data, schemas and mappings are managed -- from a physical layer consisting of a s ...

2007

280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia Using Character-Level Classification

Karl Aberer, Rémi Philippe Lebret, Hamza Harkous, Amit Gupta

We propose a novel fully-automated approach towards inducing multilingual taxonomies fromWikipedia. Given an English taxonomy, our approach first leverages the interlanguage links of Wikipedia to automatically construct training datasets for the is-a relat ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2018

Dynamic Cost-Efficient Replication in Data Clouds

Karl Aberer, Nicolas Bonvin

Hardware failures in current data centers are common partly due to the higher data scales supported. Data replication is the common approach for improving availability. However, mostly static replication approaches have been proposed, i.e. the number of re ...

2009

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

Using identity premium for cooperation enforcement and whitewashing prevention in rational environments

Karl Aberer

One fundamental issue in existing reputation mechanisms, particularly those in open and decentralized multi-agent systems, is whitewashing attacks by rational providers. If identities are cheap, it is beneficial for a provider to simply defect when selling ...

2010

Efficient Distributed Decision Trees for Robust Regression

Karl Aberer, Jean Paul Calbimonte Perez, Tian Guo

The availability of massive volumes of data and recent advances in data collection and processing platforms have motivated the development of distributed machine learning algorithms. In numerous real-world applications large datasets are inevitably noisy a ...

2016

Optimizing Information Leakage in Multicloud Storage Services

Karl Aberer, Rameez Rahman, Hao Zhuang

Many schemes have been recently advanced for storing data on multiple clouds. Distributing data over multiple cloud storage providers automatically provides users with a certain degree of information leakage control, for no single point of attack can leak ...

2016

idMesh: graph-based disambiguation of linked data

Karl Aberer, Philippe Cudré-Mauroux, Parisa Haghani

We tackle the problem of disambiguating entities on the Web. We propose a user-driven scheme where graphs of entities -- represented by globally identifiable declarative artifacts -- self-organize in a dynamic and probabilistic manner. Our solution has the ...

ACM2009

Nature vs. Nurture: Feature vs. Structure for Graph Neural Networks

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

Graph neural networks take node features and graph structure as input to build representations for nodes and graphs. While there are a lot of focus on GNN models, understanding the impact of node features and graph structure to GNN performance has received ...

ELSEVIER2022

SAGESSE: A System for Argument Generation, Extraction and Structuring of Social Exchanges

Nicolas Raphaël Michail Almerge, Amin Asadi Sarijalou, Ilker Gül, Matteo Santelmo, Karl Aberer, Rémi Philippe Lebret, Léo Jules Laugier

Online debates provide critical insights into public opinion and societal trends, yet the unstructured nature of these discussions presents significant challenges for analysis. In this paper, we present SAGESSE, a novel argumentation parsing pipeline tailo ...

ACM2025