Publications de Michele Catasta

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Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

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 ...

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 ...

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 ...

Sections are the building blocks of Wikipedia articles. They enhance readability and can be used as a structured entry point for creating and expanding articles. Structuring a new or already existing Wikipedia article with sections is a hard task for human ...

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 ...

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 ...

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.), ...

We present the Entity Name System (ENS), an enabling infrastructure, which can host descriptions of named entities and provide unique identifiers, on large-scale. In this way, it opens new perspectives to realize entity-oriented, rather than keyword-orient ...

Michele Catasta

Chattez avec Graph Search

MEM0R1ES: Memory-based Information Systems

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

Contextualized ranking of entity types based on knowledge graphs

Structuring Wikipedia Articles with Section Recommendations

Building a Front End for a Sensor Data Cloud

MemorySense: Reconstructing and Ranking User Memories on Mobile Devices

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

From Web Data to Entities and Back

It's Getting Crowded! How to Use Crowdsourcing Effectively for Web Science Research

Entity Disambiguation in Tweets leveraging User Social Profiles

Semantic Place Prediction using Mobile Data

Hippocampus: answering memory queries using transactive search

Memo-it: Don’t write your diary, Sense it

Next Place Prediction using Mobile Data