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About 10,000 papers for “Data Web”

Web Crawler: Extracting the Web Data

Mini Singh Ahuja, Dr Jatinder Singh Bal, Var nica · International Journal of Computer Trends and Technology · 2014

Web Crawler: Extracting the Web Data     International Journal of Computer Trends and Technology (IJCTT)             © 2014 by IJCTT Journal Volume-13 Number-3 Year of Publication : 2014 Authors : Mini Singh Ahuja , Dr Jatinder Singh

Cited by 34

Web Data Approach

J. Breuker, R. Dieng-kuntz, N. Guarino et al. · 2008

FAIA covers all aspects of theoretical and applied artificial intelligence research in the form of monographs, doctoral dissertations, textbooks, handbooks and proceedings volumes. The FAIA series contains several sub-series, including “Information Modelling and Knowledge Bases ” and

Cited by 0

Web-Delphi data

Ribeiro, Manuel, Rodrigues, Teresa, Bana e Costa, Carlos et al. · Zenodo (CERN European Organization for Nuclear Research) · 2025

Dataset contains raw data used to support all data analysis presented in the manuscript "A framework for collaborative identification of geographical information for map-based dashboards to support pandemic response policy-making". Cartography and Geographic Information Science, 1–16. https://doi.org/10.1080/15230406.2025.2600480

Cited by 0Open access

Web-Delphi data

Ribeiro, Manuel, Rodrigues, Teresa, Bana e Costa, Carlos et al. · Zenodo (CERN European Organization for Nuclear Research) · 2024

Dataset contains raw data used to support all data analysis presented in manuscript (to be submitted) "Improving policy-making: A collaborative framework for identifying geographic information to integrate into map-based dashboards for pandemic response in Portugal". M Ribeiro, T Rodrigues, R Roquette, L Azevedo, MJ Pereira, C Dias, CB e Costa, M Oliveira

Cited by 0Open access

Web-Delphi data

Ribeiro, Manuel, Rodrigues, Teresa, Bana e Costa, Carlos et al. · Zenodo (CERN European Organization for Nuclear Research) · 2025

Dataset contains raw data used to support all data analysis presented in the manuscript "A framework for collaborative identification of geographical information for map-based dashboards to support pandemic response policy-making". Cartography and Geographic Information Science, 1–16. https://doi.org/10.1080/15230406.2025.2600480

Cited by 0Open access

Web Data Management

Serge Abiteboul, Ioana Manolescu, Philippe Rigaux et al. · Cambridge University Press eBooks · 2011

The Internet and World Wide Web have revolutionized access to information. Users now store information across multiple platforms from personal computers to smartphones and websites. As a consequence, data management concepts, methods and techniques are increasingly focused on distribution concerns. Now that information largely resides in the network, so do the tools that process this information. This book explains the foundations of XML with a focus on data distribution. It covers the many facets of distributed data management on the Web, such as description logics, that are already emerging in today's data integration applications and herald tomorrow's semantic Web. It also introduces the machinery used to manipulate the unprecedented amount of data collected on the Web. Several 'Putting into Practice' chapters describe detailed practical applications of the technologies and techniques. The book will serve as an introduction to the new, global, information systems for Web professionals and master's level courses.

Cited by 62

WEB SEMANTICS DATA

M. Markandeyulu, Ch. Jayaraju · Graduate Research in Engineering and Technology · 2013

Data Semantics is a wide area that continuously faces new challenges arising from the invention of new infor- mation formats and novel applications. An area that is partic- ularly challenging with respect to identifying, representing and using data semantics is the Web. This paper attempts to characterize the nature and challenges of Data Semantics on the Web as an interesting research area to be covered by the Journal on Data Semantics.

Cited by 0Open access

Data Web Fisip

fisip, fisip · Document Repository (Universitas Andalas)

Cited by 0

Web of Data

Umutcan Serles, Dieter Fensel · 2024

Cited by 0

Web Data Scraper

Prieto Roig, Ausiàs · RiuNet (Politechnical University of Valencia) · 2023

[ES] La recolección de datos, también conocida como web scraping, es el proceso de recolectar información de sitios web de manera automática. Los sitios web dinámicos, caracterizados por su capacidad de actualizar el contenido en tiempo real (AJAX), presentan desafíos únicos para la recolección de datos. La importancia de esta información para las personas, empresas e investigadores es fundamental, ya que se puede utilizar para una variedad de propósitos como el análisis de negocios, la investigación y para el uso personal, e incluso para el entrenamiento de Modelos del Lenguaje Grandes (LLM). Describimos la arquitectura, el diseño e implementación de una herramienta modular, extensible y open-source que hemos creado usando Python, Cython y la librería "Playwright", entre otras muchas librerías de Procesamiento del lenguaje natural (NLP), específicamente hecha para abordar estos retos, y evaluamos su rendimiento a través de experimentos y estudios de casos. Como parte de la reflexión, se concluirá discutiendo las posibles aplicaciones de los datos recolectados en estos sitios web dinámicos y las tendencias a futuro en este campo.

Cited by 0Open access

Smart Data Web

Philipp Tiedt, Henrik Holzhausen, Marc Trömel · Open MIND · 2018

Diagramme

Cited by 0Open access

Web Data Scraping

Andrei Kirilenko · Springer texts in social sciences · 2025

Cited by 0

Web Data Extraction

Tomáš Novella · Digital Repository (National Repository of Grey Literature) · 2016

Creation of web wrappers (i.e programs that extract data from the web) is a subject of study in the field of web data extraction. Designing a domain-specific language for a web wrapper is a challenging task, because it introduces trade-offs between expressiveness of a wrapper's language and safety. In addition, little attention has been paid to execution of a wrapper in restricted environment. In this thesis, we present a new wrapping language -- Serrano -- that has three goals in mind. (1) Ability to run in restricted environment, such as a browser extension, (2) extensibility, to balance the tradeoffs between expressiveness of a command set and safety, and (3) processing capabilities, to eliminate the need for additional programs to clean the extracted data. Serrano has been successfully deployed in a number of projects and provided encouraging results. Powered by TCPDF (www.tcpdf.org)

Cited by 0

Food web data

Yletyinen, Johanna, Bodin, Örjan, Nordström, Marie et al. · DRYAD · 2016

Cited by 0Open access