Publications de Karl Aberer | EPFL Graph Search

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The participatory sensing paradigm has interesting applications, e.g. electrosmog/air-pollution monitoring, carbon footprint estimation, etc., but raises serious privacy concerns. Existing static privacy-enabling approaches offer no privacy guarantees, while individual privacy requirements cannot be met. In this work, we propose an adaptive privacy protection scheme, in order to meet personalized locationprivacy protection requirements and experimentally prove its effectiveness against static privacy-protec

The ability of smart meters to communicate energy consumption data in (near) real-time enables data analytics for novel applications, such as pervasive demand response, personalized energy feedback, outage management, and theft detection. Smart meter data ...

We consider the problem of analytically evaluating semantic interoperability in large-scale networks of schemas interconnected through pairwise schema mappings. Our heuristics are based on a graph-theoretic framework capturing important statistical propert ...

Accurate estimation of quality of online services is both an important and difficult problem, since a service has many interdependent quality attributes influenced by several contextual factors. It is even more challenging as quality ratings come from sour ...

Documents are fundamental to preserving and disseminating information, often incorporating complex layouts, tables, and charts that pose significant challenges for automatic document understanding (DU). While vision-language large models (VLLMs) have demonstrated improvements across various tasks, their effectiveness in processing long-context vision inputs remains unclear. This paper introduces WikiMixQA, a benchmark comprising 1,000 multiple-choice questions (MCQs) designed to evaluate cross-modal reasoni

In this paper we present the Global Sensor Networks (gsn.sf.net) and the NexTick (nextick.org) projects.

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 ...

Recent transformer language models achieve outstanding results in many natural language processing (NLP) tasks. However, their enormous size often makes them impractical on memory-constrained devices, requiring practitioners to compress them to smaller net ...

In this paper we present the AlvisP2P IR engine, which enables efficient retrieval with multi-keyword queries from a global document collection available in a P2P network. In such a network, each peer publishes its local index and invests a part of its loc ...

This paper presents a new approach to measuring similarity over massive time-series data. Our approach is built on two principles: one is to parallelize the large amount computation using a scalable cloud serving system, called TimeCloud. The another is to ...

Quite a few data-oriented overlay networks have been designed in recent years. These designs often (implicitly) assume various homogeneity which seriously limit their usability in real world. In this paper we present some performance results of the Oscar o ...

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 ...

Queries to detect isomorphic subgraphs are important in graph-based data management. While the problem of subgraph isomorphism search has received considerable attention for the static setting of a single query, or a batch thereof, existing approaches do n ...

This paper studies mobile sensing in a complete distributed and opportunistic scheme. We present a novel sensing strategy for sensing nodes without movement constraints. This strategy offers information sharing and sensor scheduling that maximizes the bene ...

The explosive growth of online social networks (OSNs) and their wide popularity suggest the impact of OSNs on today's Internet. At the same time, concentration of vast amount of personal information within a single administrative domain causes critical pri ...

RDF Stream Processing (RSP) bridges the gap between semantic technologies and data stream systems. Although a number of RSP systems have been recently proposed, no RDF streams are actually made publicly available on the Web. To cope with this, RSP engines require ad-hoc wrappers in order to be fed from non-RDF streams available on the Internet. In this paper we present TripleWave: an approach for publishing existing streams on the Web as RDF streams, using mappings to perform live transformation of data, an

Karl Aberer

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Adaptive Personalized Privacy in Participatory Sensing

Deriving Semantic Sensor Metadata from Raw Measurements

SmartD: Smart Meter Data Analytics Dashboard

Analyzing Semantic Interoperability in Bioinformatic Database Networks

Efficient Probabilistic Subsumption Checking for Content-Based Publish/Subscribe Systems

Towards Probabilistic Estimation of Quality of Online Services

WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts

GSN, Middleware for Streaming World (Best Demo Award)

SMART: A tool for analyzing and reconciling schema matching networks

Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models

AlvisP2P: Scalable Peer-to-Peer Text Retrieval in a Structured P2P Network

Model-Based Similarity Measure in TimeCloud

Oscar: A Data-Oriented Overlay For Heterogeneous Environments

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

Fast and Accurate Efficient Streaming Subgraph Isomorphism

Energy-Efficient Opportunistic Collaborative Sensing

A decentralized public key infrastructure for customer-to-customer e-commerce

Privacy-aware and highly-available OSN profiles

Where are the RDF Streams?: Deploying RDF Streams on the Web of Data with TripleWave

Improving the Throughput of Distributed Hash Tables Using Congestion-Aware Routing