Publications by Philippe Cudré-Mauroux

Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series

Philippe Cudré-Mauroux, Karl Aberer, Julia Proskurnia, Carlos Castillo

Applying classical time-series analysis techniques to online content is challenging, as web data tends to have data quality issues and is often incomplete, noisy, or poorly aligned. In this paper, we tackle the problem of predicting the evolution of a time ...

Efficient Document Filtering Using Vector Space Topic Expansion and Pattern-Mining: The Case of Event Detection in Microposts

Philippe Cudré-Mauroux, Karl Aberer, Julia Proskurnia, Carlos Castillo

Automatically extracting information from social media is challenging given that social content is often noisy, ambiguous, and inconsistent. However, as many stories break on social channels first before being picked up by mainstream media, developing meth ...

2017

Analyzing Large-Scale Public Campaigns on Twitter

Philippe Cudré-Mauroux, Karl Aberer, Roman Prokofyev, Julia Proskurnia

Social media has become an important instrument for running various types of public campaigns and mobilizing people. Yet, the dynamics of public campaigns on social networking platforms still remain largely unexplored. In this paper, we present an in-depth ...

Springer Int Publishing Ag2016

Contextualized ranking of entity types based on knowledge graphs

Philippe Cudré-Mauroux, Karl Aberer, Michele Catasta, Roman Prokofyev

A large fraction of online queries targets entities. For this reason, Search Engine Result Pages (SERPs) increasingly contain information about the searched entities such as pictures, short summaries, related entities, and factual information. A key facet ...

Elsevier Science Bv2016

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

Philippe Cudré-Mauroux, Karl Aberer, Julia Proskurnia

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 ...

AAAI Press2016

Hippocampus: answering memory queries using transactive search

Philippe Cudré-Mauroux, Karl Aberer, Michele Catasta

ACM2014

B-hist: Entity-centric search over personal web browsing history

Philippe Cudré-Mauroux, Karl Aberer, Michele Catasta, Jean-Eudes Marie Ranvier

Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web br ...

Elsevier2014

Tag Recommendation for Large-Scale Ontology-Based Information Systems

Philippe Cudré-Mauroux, Karl Aberer, Alexey Boyarsky, Oleg Ruchayskiy, Roman Prokofyev

We tackle the problem of improving the relevance of automatically selected tags in large-scale ontology-based information systems. Contrary to traditional settings where tags can be chosen arbitrarily, we focus on the problem of recommending tags (e.g., co ...

Springer2012

idMesh: graph-based disambiguation of linked data

Philippe Cudré-Mauroux, Karl Aberer, Michael Jost, Parisa Haghani

We tackle the problem of disambiguating entities on the Web. We propose a user-driven scheme where graphs of entities -- represented by globally identifiable declarative artifacts -- self-organize in a dynamic and probabilistic manner. Our solution has the ...

ACM2009

Neighborhood-based Tag Prediction

Philippe Cudré-Mauroux, Karl Aberer, Adriana Budura, Sebastian Michel

We consider the problem of tag prediction in collaborative tagging systems where users share and annotate resources on the Web. We put forward HAMLET, a novel approach to automatically propagate tags along the edges of a graph which relates similar documen ...

2009

PicShark: Mitigating Metadata Scarcity Through Large-Scale P2P Collaboration

Philippe Cudré-Mauroux, Karl Aberer, Manfred Hauswirth, Adriana Budura

With the commoditization of digital devices, personal information and media sharing is becoming a key application on the pervasive Web. In such a context, data annotation rather than data production is the main bottleneck. Metadata scarcity represents a ma ...

2008

To Tag or Not to Tag ? Harvesting Adjacent Metadata in Large-Scale Tagging Systems

Philippe Cudré-Mauroux, Karl Aberer, Adriana Budura, Sebastian Michel

We present HAMLET, a suite of principles, scoring models and algorithms to automatically propagate metadata along edges in a document neighborhood. As a showcase scenario we consider tag prediction in community-based Web 2.0 tagging applications. Experimen ...

ACM2008

LSH At Large - Distributed KNN Search in High Dimensions

Philippe Cudré-Mauroux, Karl Aberer, Parisa Haghani, Sebastian Michel

We consider K-Nearest Neighbor search for high dimensional data in large-scale structured Peer-to-Peer networks. We present an efficient mapping scheme based on p-stable Locality Sensitive Hashing to assign hash buckets to peers in a Chord-style overlay ne ...

2008

GridVine: an Infrastructure for Peer Information Management

Philippe Cudré-Mauroux, Karl Aberer

GridVine is a semantic overlay infrastructure based on a peer-to-peer (P2P) access structure. Built following the principle of data independence, it separates a logical layer — in which data, schemas, and schema mappings are managed — from a physical layer ...

2007

From Bioinformatic Web Portals to Semantically Integrated Data Grid Networks

Philippe Cudré-Mauroux, Karl Aberer, Adriana Budura

We propose a semi-automated method for redeploying bioinformatic databases indexed in a Web portal as a decentralized, semantically integrated and service-oriented Data Grid. We generate peer-to-peer schema mappings leveraging on cross-referenced instances ...

2007

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

Philippe Cudré-Mauroux, Karl Aberer, Adriana Budura, Parisa Haghani

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 ...

2007

Emergent semantics : rethinking interoperability for large scale decentralized information systems

Philippe Cudré-Mauroux

In the past, the problem of semantic interoperability in information systems was mostly solved by means of centralization, both at a system and at a logical level. This approach has been successful to a certain extent, but offers limited scalability and fl ...

EPFL2007

Message Passing in Semantic Peer-to-Peer Overlay Networks

Philippe Cudré-Mauroux, Karl Aberer

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 ...

2007

Probabilistic Message Passing in Peer Data Management Systems

Philippe Cudré-Mauroux, Karl Aberer

Until recently, most data integration techniques involved central components, e.g., global schemas, to enable transparent access to heterogeneous databases. Today, however, with the democratization of tools facilitating knowledge elicitation in machine-pro ...

IEEE2006

"Sentry Pallets" for Automated Monitoring of Spatial Constraints

Philippe Cudré-Mauroux

Warehouses must maintain a number of spatial constraints concerning the safe handling of hazardous materials. In this paper, we address the problem of automated monitoring of spatial constraints as pallets are moved on forklifts by human operators. We prop ...

2006