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Template extraction is the process of isolating the template of a given webpage. It is widely used in several disciplines, including webpages development, content extraction, block detection, and webpages indexing. One of the main goals of…

Information Retrieval · Computer Science 2014-09-10 Julián Alarte , David Insa , Josep Silva , Salvador Tamarit

With much of our lives taking place online, researchers are increasingly turning to information from the World Wide Web to gain insights into geographic patterns and processes. Web scraping as an online data acquisition technique allows us…

Information Retrieval · Computer Science 2023-06-01 Alexander Brenning , Sebastian Henn

Tables are a common means to display data in human-friendly formats. Many authors have worked on proposals to extract those data back since this has many interesting applications. In this article, we summarise and compare many of the…

Information Retrieval · Computer Science 2019-11-05 Juan C. Roldán , Patricia Jiménez , Rafael Corchuelo

Web archives capture the history of the Web and are therefore an important source to study how societal developments have been reflected on the Web. However, the large size of Web archives and their temporal nature pose many challenges to…

Digital Libraries · Computer Science 2016-12-20 Gerhard Gossen , Elena Demidova , Thomas Risse

The deluge of digital information in our daily life -- from user-generated content, such as microblogs and scientific papers, to online business, such as viral marketing and advertising -- offers unprecedented opportunities to explore and…

Social and Information Networks · Computer Science 2021-03-25 Fan Zhou , Xovee Xu , Goce Trajcevski , Kunpeng Zhang

This paper aims to address the challenge of data generation beyond the training data and proposes a framework for Structural Extrapolated Data GEneration (SEDGE) based on suitable assumptions on the underlying data-generating process. We…

Machine Learning · Computer Science 2026-05-15 Kun Zhang , Jiaqi Sun , Yiqing Li , Ignavier Ng , Namrata Deka , Shaoan Xie

The proposal is to use clusters, graphs and networks as models in order to analyse the Web structure. Clusters, graphs and networks provide knowledge representation and organization. Clusters were generated by co-site analysis. The sample…

Artificial Intelligence · Computer Science 2007-07-11 Xavier Polanco

Extracting structured data from HTML documents is a long-studied problem with a broad range of applications like augmenting knowledge bases, supporting faceted search, and providing domain-specific experiences for key verticals like…

Computation and Language · Computer Science 2020-10-22 Bill Yuchen Lin , Ying Sheng , Nguyen Vo , Sandeep Tata

The volume of data generated by internet and social networks is increasing every day, and there is a clear need for efficient ways of extracting useful information from them. As those data can take different forms, it is important to use…

Machine Learning · Statistics 2017-05-25 Bertrand Lebichot , Marco Saerens

E-commerce product pages on the web often present product specification data in structured tabular blocks. Extraction of these product attribute-value specifications has benefited applications like product catalogue curation, search,…

Information Retrieval · Computer Science 2022-01-11 Govind Krishnan Gangadhar , Ashish Kulkarni

The main information of a webpage is usually mixed between menus, advertisements, panels, and other not necessarily related information; and it is often difficult to automatically isolate this information. This is precisely the objective of…

Information Retrieval · Computer Science 2012-10-24 Sergio López , Josep Silva , David Insa

The technical challenges of scaling websites with large and growing member bases, like social networking sites, are numerous. One of these challenges is how to evenly distribute the growing member base across all available resources. This…

General Literature · Computer Science 2007-05-23 Nathan Boeger

The uniqueness of online social networks makes it possible to implement new methods that increase the quality and effectiveness of research processes. While surveys are one of the most important tools for research, the representativeness of…

Social and Information Networks · Computer Science 2015-05-13 Jarosław Jankowski , Radosław Michalski , Piotr Bródka , Przemysław Kazienko , Sonja Utz

Structured prediction problems are one of the fundamental tools in machine learning. In order to facilitate algorithm development for their numerical solution, we collect in one place a large number of datasets in easy to read formats for a…

Scientists across disciplines often use data from the internet to conduct research, generating valuable insights about human behavior. However, as generative AI relying on massive text corpora becomes increasingly valuable, platforms have…

Computers and Society · Computer Science 2024-12-20 Megan A. Brown , Andrew Gruen , Gabe Maldoff , Solomon Messing , Zeve Sanderson , Michael Zimmer

We present a framework for creating small, informative sub-tables of large data tables to facilitate the first step of data science: data exploration. Given a large data table table T, the goal is to create a sub-table of small, fixed…

Databases · Computer Science 2022-03-08 Kathy Razmadze , Yael Amsterdamer , Amit Somech , Susan B. Davidson , Tova Milo

Archiving Web pages into themed collections is a method for ensuring these resources are available for posterity. Services such as Archive-It exists to allow institutions to develop, curate, and preserve collections of Web resources.…

Digital Libraries · Computer Science 2017-05-18 Yasmin AlNoamany , Michele C. Weigle , Michael L. Nelson

Many real-world complex systems such as social, biological, information as well as technological systems results of a decentralized and unplanned evolution which leads to a common structuration. Irrespective of their origin, these so-called…

Social and Information Networks · Computer Science 2013-05-03 Chantal Cherifi , Jean-François Santucci

This paper is a survey discussing Information Retrieval concepts, methods, and applications. It goes deep into the document and query modelling involved in IR systems, in addition to pre-processing operations such as removing stop words and…

Information Retrieval · Computer Science 2012-12-11 Youssef Bassil

Nowadays, the huge amount of information distributed through the Web motivates studying techniques to be adopted in order to extract relevant data in an efficient and reliable way. Both academia and enterprises developed several approaches…

Artificial Intelligence · Computer Science 2013-06-06 Emilio Ferrara , Robert Baumgartner
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