Publications by Karl Aberer | EPFL Graph Search

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The increasing use of sensor technology for various monitoring applications (e.g. air-pollution, traffic, climate-change, etc.) has led to an unprecedented volume of streaming data that has to be efficiently stored and retrieved. Real-time model-based data ...

We present a framework for the autonomous discovery and selection of Semantic Web services based on their QoS properties. The novelty of our approach is the wide use of semantic technologies for a customizable discovery, which enables both the service users and providers to flexibly specify their matching models for QoS and the corresponding environmental conditions. In the presented approach, the discovery and ranking of services can be personalized via the use of domain ontologies detailing the user's pre

Efficiently querying data collected from Large-area Communitydriven Sensor Networks (LCSNs) is a new and challenging problem. In our previous works, we proposed adaptive techniques for learning models (e.g., statistical, non-parametric, etc.) from such dat ...

As the volumes of sensor data being accumulated are likely to soar, data compression has become essential in a wide range of sensor-data applications. This has led to a plethora of data compression techniques for sensor data, in particular model-based appr ...

Database schema matching is the process of establishing correspondences between attributes of schemas for data integration purpose. Though various commercial tools have been developed, their results are inherently uncertain. In practice, to obtain correct ...

As the volumes of AI problems involving human knowledge are likely to soar, crowdsourcing has become essential in a wide range of world-wide-web applications. One of the biggest challenges of crowdsourcing is aggregating the answers collected from crowd wo ...

While social data is being widely used in various applications such as sentiment analysis and trend prediction, its sheer size also presents great challenges for storing, sharing and processing such data. These challenges can be addressed by data summariza ...

Peer-to-Peer (P2P) systems rely on machine-to-machine ad-hoc communications to offer services to a community. Contrary to the classical client-server architecture, P2P systems consider all peers, i.e., all nodes participating in the network, as being equal ...

The success of the peer-to-peer idea has created a huge diversity of approaches. A wide variety of structures and architectures have been proposed. The terminology and abstractions used, however, are quite confusing since the P2P paradigm has interested researcher form various research communities (networking, databases, graph theory, biology, etc,) each using different abstractions and models. Still, the essential properties and abstraction of P2P systems are the same. In this paper we propose a reference

Environmental engineers from different organizations work in interdisciplinary projects having the need of information exchange. In particular, a collaborative environment with personalized access to information is needed, which supports strongly varying i ...

Wireless ad hoc networks are inherently vulnerable, as any node can disrupt the communication of potentially any other node in the network. Many solutions to this problem have been proposed. In this paper, we take a fresh and comprehensive approach that ad ...

The limitations of client/server systems become evident in an Internet-scale distributed environment. Peer-topeer (P2P) systems offer an interesting alternative to traditional client/server systems: Every node acts both as a client and a server and “ ...

We consider the applicability of terms extracted from anchortext as a source of Web page descriptions in the form of tags. With a relatively simple and easy-to-use method, we show that anchortext significantly overlaps with tags obtained from the popular t ...

Ranking systems such as those in product comparison sites and recommender systems usually use ratings to rank favorite items based on both their quality and popularity. Since higher ranked items are more likely selected and yield more revenues for their owners, providers of unpopular and bad items have strong incentives to manipulate the ranking in favor of their own items. This paper analyzes the adversary cost for manipulating these rankings in a variety of scenarios. Particularly, we analyze and compare

The lack of standardization and the continuous inflow of novel sensor network technologies have made their deployment the main factor of manpower consumption, considerably complicate the interconnection of heterogeneous sensor networks, and make portable application development a challenging and time-consuming task. To address these problems we propose our Global Sensor Networks middleware which supports the rapid and simple deployment of a wide range of sensor network technologies, facilitates the flexible

Structured overlay networks is an important and interesting primitive that can be used by diverse peer-to-peer applications. Multiple overlays can result either because of network partitioning or (more likely) because different groups of peers build such o ...

In this paper, we will present an efficient approach for distributed inference. We use belief propagation's message-passing algorithm on top of a DHT storing a Bayesian network. Nodes in the DHT run a variant of the spring relaxation algorithm to redistribute the Bayesian network among them. Thereafter correlated data is stored close to each other reducing the message cost for inference. We simulated our approach in Matlab and show the message reduction and the achieved load balance for random, tree-shaped,

The ``Internet of Things'' intends to enhance items of our everyday life with information and/or processing and interconnect them, so that computers can sense, integrate, present, and react on all kinds of aspects of the physical world. As this implies tha ...

Sensor datasets on the Web are becoming increasingly available, and there is a need for making them discoverable and accessible, so that they can be reused despite their heterogeneity. While RDF and Linked Data provide fundamental principles for sharing data on the Web, it is evidenced that they have limitations for efficiently transmitting and archiving sensor data. In this paper we identify some of the main challenges for engineering semantic sensor data archives, and we present an abstract architecture f

The recent development of smart meters has allowed the analysis of household electricity consumption in real time. Predicting electricity consumption at such very low scales should help to increase the efficiency of distribution networks and energy pricing ...

Karl Aberer

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Towards Online Multi-Model Approximation of Time Series

An Extensible and Personalized Approach to QoS-enabled Semantic Web Service Discovery

EnviroMeter: A Platform for Querying Community-Sensed Data

An Evaluation of Model-Based Approaches to Sensor Data Compression

An MAS Negotiation Support Tool for Schema Matching

BATC - A Benchmark for Aggregation Techniques in Crowdsourcing

Data Summarization with Social Contexts

Message Passing in Semantic Peer-to-Peer Overlay Networks

The essence of P2P: A reference architecture for overlay networks

Personalized information access in a wiki using structured tagging

Castor: Scalable Secure Routing for Ad Hoc Networks

Advanced Peer-to-Peer Networking: The P-Grid System and its Applications

From Web 1.0 to Web 2.0 and back - How did your Grandma use to tag?

Impact of Trust Management and Information Sharing to Adversarial Cost in Ranking Systems

The Global Sensor Networks middleware for efficient and flexible deployment and interconnection of sensor networks

The challenges of merging two similar structured overlays: A tale of two networks

Efficient Peer-to-Peer Belief Propagation

Middleware support for the "Internet of Things"

Toward Semantic Sensor Data Archives on the Web

Electricity Load Forecasting for Residential Customers: Exploiting Aggregation and Correlation between Households