Publications by Karl Aberer | EPFL Graph Search

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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 ...

Currently smart meter data analytics has received enormous attention because it allows utility companies to analyze customer consumption behavior in real time. However, the amount of data generated by these sensors is very large. As a result, analytics per ...

Reputation systems offer a viable solution to the old problem of encouraging trustworthy behavior in online communities. Their key presumptions are that the participants of an online community engage in repeated interactions and that the information about their past doings is informative of their future performance and as such will influence it. Thus, collecting, processing, and disseminating the feedback about the participants' past behavior is expected to boost their trustworthiness. We investigate and cl

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 ...

In mobile teamwork environments two basic problems exist: how to discover someone based on a profile (skills, reputations) and how to assess that person’s “credibility” (trust). 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 still missing. In this paper we present a solution for scheduling exchanges among participants of an online community which take into a

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 ...

We present a query-driven algorithm for the distributed indexing of large document collections within structured P2P networks. To cope with bandwidth consumption that has been identified as the major problem for the standard P2P approach with single term i ...

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 ...

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 ...

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 ...

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 ...

This paper addresses the problem of building scalable semantic overlay networks. Our approach follows the principle of data independence by separating a logical layer, the semantic overlay for managing and mapping data and metadata schemas, from a physical layer consisting of a structured peer-to-peer overlay network for e±cient routing of messages. The physical layer is used to implement various functions at the logical layer, including attribute-based search, schema management and schema mapping managemen

Peer-to-peer networks have been identified as promising architectural concepts for developing attractive search scenarios across digital library collections. Digital libraries typically offer sophisticated search over their local content, however, search methods involving a network of such stand-alone components are currently quite limited. We present an architecture for highly-efficient search over digital library collections based on structured P2P networks. As the standard single-term indexing strategy f

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 ...

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 ...

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 ...

A key problem in current sensor network technology is the heterogeneity of the available software and hardware platforms which makes deployment and application development a tedious and time consuming task. To minimize the unnecessary and repetitive implementation of identical functionalities for different platforms, we present our Global Sensor Networks (GSN) middleware which supports the flexible integration and discovery of sensor networks and sensor data, enables fast deployment and addition of new plat

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 ...

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 ...

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 ...

Karl Aberer

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Towards a highly effective and robust Web credibility evaluation system

Symbolic Representation of Smart Meter Data

Possibilities for Managing Trust in P2P Networks

Result Selection and Summarization for Web Table Search

Trust-Aware Cooperation

A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration

Query-Driven Indexing for Scalable Peer-to-Peer Text Retrieval

How Computer Science Risks to Lose its Innocence, and Should Attempt to Take Responsibility

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

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

Collaborative Schema Matching Reconciliation

GridVine: Building Internet-Scale Semantic Overlay Networks

A Peer-to-Peer Architecture for Information Retrieval Across Digital Library Collections

Model-View Sensor Data Management in the Cloud

Knowing When to Slide: Efficient Scheduling for Sliding Window Processing

Building a Front End for a Sensor Data Cloud

A middleware for fast and flexible sensor network deployment

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

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

Dynamic Cost-Efficient Replication in Data Clouds