Publication

An Agent-Based Focused Crawling Framework for Topic- and Genre-Related Web Document Discovery

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Purely URL-based Topic Classification

Monika Henzinger, Ingmar Weber, Eda Baykan, Ludmila Marian

Given only the URL of a web page, can we identify its topic? This is the question that we examine in this paper. Usually, web pages are classified using their content, but a URL-only classifier is preferable, (i) when speed is crucial, (ii) to enable conte ...

2009

Web page language identification based on URLs

Monika Henzinger, Ingmar Weber, Eda Baykan

Given only the URL of a web page, can we identify its language? This is the question that we examine in this paper. Such a language classifier is, for example, useful for crawlers of web search engines, which frequently try to satisfy certain language quot ...

2008

A high-performance distributed hash table for peer-to-peer information retrieval

Fabius Klemm

This thesis describes our research results in the context of peer-to-peer information retrieval (P2P-IR). One goal in P2P-IR is to build a search engine for the World Wide Web (WWW) that runs on up to hundreds of thousands or even millions computers distri ...

EPFL2008

Web Text Retrieval with a P2P Query-Driven Index

Karl Aberer, Martin Rajman, Vinh Toan Luu, Ivana Podnar, Gleb Skobeltsyn

In this paper, we present a query-driven indexing/retrieval strategy for efficient full text retrieval from large document collections distributed within a structured P2P network. Our indexing strategy is based on two important properties: (1) the generate ...

2007

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

Karl Aberer, Martin Rajman, Vinh Toan Luu, Ivana Podnar, Gleb Skobeltsyn

We describe a query-driven indexing framework for scalable text retrieval over structured P2P networks. To cope with the bandwidth consumption problem that has been identified as the major obstacle for full-text retrieval in P2P networks, we truncate posti ...

2007

Search Technologies for the Internet

Monika Henzinger

About 20% of the world's population uses the web, and a large majority thereof uses web search engines to find information. As a result many web researchers are devoting much effort to improving the speed and capabilitiy of search technology. ...

2007

Distributed link-based ranking in P2P Web retrieval

Jie Wu

One of the main differences between modern search engines and traditional ones is the adoption of link-based ranking algorithm in ordering Web documents. Google has claimed that it is its link-based ranking algorithm, PageRank that has made the quality of ...

EPFL2006

Automatic extraction of geometric lip features with application to multi-modal speaker identification

Jean-Philippe Thiran, Ivana Arsic de Heras Ciechomska

In this paper we consider the problem of automatic extraction of the geometric lip features for the purposes of multi-modal speaker identification. The use of visual information from the mouth region can be of great importance for improving the speaker ide ...

IEEE2006

Indexation de Documents Manuscrits

Alessandro Vinciarelli

Les systèmes de reconnaissance automatique de l'écriture permettent de transfomer des collections de documents manuscrits en archives de documents numériques. L'avantage n'est pas tellement la réduction de l'espace nécéssaire pour stoquer les données, mais ...

2006

Indexation de Documents Manuscrits

Alessandro Vinciarelli

IDIAP2006