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Quality driven web services composition
The Web Conference, 2003 Liangzhao Zeng +4 more
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Web 3.0: The Future of Internet
The Web Conference, 2023With the rapid growth of the Internet, human daily life has become deeply bound to the Internet. To take advantage of massive amounts of data and information on the internet, the Web architecture is continuously being reinvented and upgraded.
Wensheng Gan +3 more
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Information extraction meets the Semantic Web: A survey
Semantic Web, 2020Millennium Institute for Foundational Research on Data (IMFD) Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT), CONICYT FONDECYT ...
José-Lázaro Martínez-Rodríguez +2 more
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Neural-symbolic integration and the Semantic Web
Semantic Web, 2020Symbolic Systems in Artificial Intelligence which are based on formal logic and deductive reasoning are fundamentally different from Artificial Intelligence systems based on artificial neural networks, such as deep learning approaches.
P. Hitzler +3 more
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Google Dataset Search: Building a search engine for datasets in an open Web ecosystem
The Web Conference, 2019There are thousands of data repositories on the Web, providing access to millions of datasets. National and regional governments, scientific publishers and consortia, commercial data providers, and others publish data for fields ranging from social ...
D. Brickley, M. Burgess, Natasha Noy
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Semantic Web, 2020
The present study examines how perceived insecurity in the neighborhood affects adolescent civic engagement: directly or indirectly via subjective well-being; and whether these relationships are the same for boys and girls.
E. Hyvönen
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The present study examines how perceived insecurity in the neighborhood affects adolescent civic engagement: directly or indirectly via subjective well-being; and whether these relationships are the same for boys and girls.
E. Hyvönen
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DL-Learner - A framework for inductive learning on the Semantic Web
Journal of Web Semantics, 2016In this system paper, we describe the DL-Learner framework, which supports supervised machine learning using OWL and RDF for background knowledge representation.
Lorenz Bühmann +2 more
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Click Models for Web Search, 2015
With the rapid growth of web search in recent years the problem of modeling its users has started to attract more and more attention of the information retrieval community. This has several motivations.
A. Chuklin, Ilya Markov, M. de Rijke
semanticscholar +1 more source
With the rapid growth of web search in recent years the problem of modeling its users has started to attract more and more attention of the information retrieval community. This has several motivations.
A. Chuklin, Ilya Markov, M. de Rijke
semanticscholar +1 more source
The Italian Cadastral Information System: a Real-Life Spatio-Temporal DBMS
Spatio-Temporal Database Management, 1999F. Arcieri +3 more
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