Publications by Karl Aberer | EPFL Graph Search

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Web search over peer-to-peer (P2P) networks shows promise to become an alternative to the state-of-the-art search engines since P2P overlays offer means for decentralized search across widely-distributed document collections. However, the design of effecti ...

An overwhelming and growing amount of data is available online. The problem of untrustworthy online information is augmented by its high economic potential and its dynamic nature, e.g. transient domain names, dynamic content, etc. In this paper, we address ...

Reputation-based trust models using statistical learning have been intensively studied for distributed systems where peers behave maliciously. However practical applications of such models in environments with both malicious and rational behaviors are stil ...

Participatory sensing (PS) is becoming a popular data acquisition means for interesting emerging applications. However, as data queries from these applications increase, the sustainability of this platform for multiple concurrent applications is at stake. ...

One of the key challenges to realize automated processing of the information on the Web, which is the central goal of the Semantic Web, is related to the entity matching problem. There are a number of tools that reliably recognize named entities, such as p ...

Recent years have seen advances in building large internet-scale index structures, generally known as structured overlays. Early structured overlays realized distributed hash tables (DHTs) which are ill suited for anything but exact queries. The need to su ...

The richness of user-centric information gathered by modern devices can be used to keep track of memorable events, therefore acting as a prosthesis of the prone-to-forget human memory. We propose to combine virtual and physical sensors from mobile devices ...

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 ...

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.), ...

In recent years, due to the proliferation of sensor networks, there has been a genuine need of researching techniques for sensor data acquisition and management. To this end, a large number of techniques have emerged that advocate model-based sensor data acquisition and management. These techniques use mathematical models for performing various, day-to-day tasks involved in managing sensor data. In this chapter, we survey the state-of-the-art techniques for model-based sensor data acquisition and management

QoS-based service selection mechanisms will play an essential role in service-oriented architectures, as e-Business applications want to use services that most accurately meet their requirements. Standard approaches in this field typically are based on the prediction of services' performance from the quality advertised by providers as well as from feedbacks of users on the actual levels of QoS delivered to them. The key issue in this setting is to detect and deal with false ratings by dishonest providers an

One of the most important tasks of a sensor network (SN) is to detect occurrences of interesting events in the monitored environment. However, data measured by SN is often affected by errors. We investigate the problem of assessing trustworthiness (trust) ...

Effectively managing the data generated by community-driven mobile geo-sensor networks is a new and challenging problem. One important step for managing and querying sensor network data is to create abstractions of the data in the form of models. These mod ...

Excessive network bandwidth consumption, caused by the transmission of long posting lists, was identified as one of the major bottlenecks for implementing distributed full-text retrieval in a Peer-to-Peer (P2P) architecture. To address this problem we introduce a novel approach to indexing using highly discriminative terms and term sets, which leads to short posting lists and therefore reduces the network traffic by almost one order of magnitude. In addition, we show that retrieval based on discriminative t

This paper proposes a new method for recognizing both activities and gestures by using acceleration data collected on a smartwatch. While both activity recognition techniques and gesture recognition techniques employ acceleration data, these techniques are ...

The vast majority of the interactions in typical online communities nowadays is between complete strangers. In such settings reputation reporting and trust management models play a crucial role for proper functioning of those communities. A lot of work has been done on the issues of collecting and spreading reputations and subsequent computation of trust. The application of such data for decision making, however, is far less explored. In this paper we present a solution for scheduling exchanges among partic

Demand response (DR) has been known to play an important role in the electricity sector to balance supply and demand. To this end, the DR baseline is a key factor in a successful DR program since it influences the incentive allocation mechanism and custome ...

Twitter is a popular micro-blogging service on theWeb, where people can enter short messages, which then become visible to some other users of the service. While the topics of these messages varies, there are a lot of messages where the users express their ...

The research on P2P systems which support skewed key distributions has rapidly advanced in the recent years. Yet, the assumptions on the skews we are dealing with remained pretty simple: most of the existing literature assumes simple monotonous key distrib ...

Karl Aberer

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Beyond term indexing: A P2P framework for Web information retrieval

A Decentralized Recommender System for Effective Web Credibility Assessment

Effective Usage of Computational Trust Models in Rational Environments

Utility-driven Data Acquisition in Participatory Sensing

Quality-aware similarity assessment for entity matching in Web data

Structured Overlay For Heterogeneous Environments: Design and Evaluation of Oscar

MemorySense: Reconstructing and Ranking User Memories on Mobile Devices

Reactive Processing of RDF Streams of Events

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

A Survey of Model-based Sensor Data Acquisition and Management

A Survey of Model-based Sensor Data Acquisition and Management

QoS-based Service Selection and Ranking with Trust and Reputation Management

Pattern-wise trust assessment of sensor data

ConDense: Managing Data in Community-driven Mobile Geosensor Networks

Using Highly Discriminative Keys for Indexing in a Peer-to-Peer Full-Text Retrieval System

Tree-structured Classifier for Acceleration-based Activity and Gesture Recognition on Smartwatches

Trust-Aware Delivery of Composite Goods

When Bias Matters: An Economic Assessment of Demand Response Baselines for Residential Customers

Entity-based Classification of Twitter Messages

Oscar: Small-world overlay for realistic key distributions