Message Distortion in Information Cascades

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Word Embeddings for Natural Language Processing

Word embedding is a feature learning technique which aims at mapping words from a vocabulary into vectors of real numbers in a low-dimensional space. By leveraging large corpora of unlabeled text, such continuous space representations can be computed for c ...

EPFL2016

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Dimitrios Kyritsis, Min-Jung Yoo

This paper describes our conceptual framework of closed-loop lifecycle information sharing for product-service in the Internet of Things (IoT). The framework is based on the ontology model of product-service and a type of IoT message standard, Open Messagi ...

Mdpi Ag2016

On the Privacy Implications of Location Semantics

Jean-Pierre Hubaux, Kévin Clément Huguenin, Urs Beda Hengartner

Mobile users increasingly make use of location-based online services enabled by localization systems. Not only do they share their locations to obtain contextual services in return (e.g., 'nearest restaurant'), but they also share, with their friends, info ...

2016

A Method for Record Linkage with Sparse Historical Data

Maud Ehrmann, Yannick Rochat, Giovanni Colavizza

Massive digitization of archival material, coupled with automatic document processing techniques and data visualisation tools offers great opportunities for reconstructing and exploring the past. Unprecedented wealth of historical data (e.g. names of perso ...

2016

Conceptual processing is referenced to the experienced location of the self, not to the location of the physical body

Olaf Blanke, Bruno Herbelin, Andrea Serino, Elisa Canzoneri

We tested whether an experimentally induced change in the experienced location of the self by means of the Full Body Illusion (FBI) would impact high-level cognitive processing. In an implicit association task, participants saw a landscape where words, con ...

Elsevier2016

MEM0R1ES: Memory-based Information Systems

Michele Catasta

The advent of the Web reshaped the way in which humans memorize information, arguably unlike any other technological advance of the last decades. Rather than remembering the information itself, people are primed to find the needed information through Web s ...

EPFL2015

Rehabilitation of Count-based Models for Word Vector Representations

Rémi Philippe Lebret, Ronan Collobert

Recent works on word representations mostly rely on predictive models. Distributed word representations (aka word embeddings) are trained to optimally predict the contexts in which the corresponding words tend to appear. Such models have succeeded in captu ...

Springer International Publishing2015

MemorySense: Reconstructing and Ranking User Memories on Mobile Devices

Karl Aberer, Zhixian Yan, Matteo Vasirani, Michele Catasta, Jean-Eudes Marie Ranvier, Horia Radu

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 ...

Ieee2014

Semantic trajectories: Mobility data computation and annotation

Karl Aberer, Stefano Spaccapietra, Christine Parent, Zhixian Yan, Dipanjan Chakraborty

With the large-scale adoption of GPS equipped mobile sensing devices, positional data generated by moving objects (e.g., vehicles, people, animals) are being easily collected. Such data are typically modeled as streams of spatio-temporal (x,y,t) points, ca ...

2013

Computing text semantic relatedness using the contents and links of a hypertext encyclopedia

Majid Yazdani, Andrei Popescu-Belis

We propose a method for computing semantic relatedness between words or texts by using knowledge from hypertext encyclopedias such as Wikipedia. A network of concepts is built by filtering the encyclopedia's articles, each concept corresponding to an artic ...

Elsevier Science Bv2013

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Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Dimitrios Kyritsis, Min-Jung Yoo

Mdpi Ag2016