Nowadays, Knowledge Graphs are a widely used means to store structured information for a variety of different domains and ...

Graph neural networks (GNNs) are deep learning architectures that apply graph convolutions through message-passing processes ...

The increase in air traffic in the recent years has motivated the development of technologies to monitor air space and ...

Schema/ontology matching consists in finding matches between types, properties and entities in heterogeneous sources of ...

Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities ...

Graph neural networks (GNNs) are deep learning architectures that apply graph convolutions through message-passing processes ...

La programación web es, actualmente, una de las vertientes más importantes de la informática en la industria nacional e ...

Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities ...

Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. ...

Hoy en día, el desarrollo web es una de las vertientes más demandadas en la industria informática a nivel nacional e ...

The recent years have seen an increased interest in the development of large, structured data sources that allow the ...

Intelligent systems rely on rich sources of information to make informed decisions. Using information from external sources ...

With this Project we aspire to answer to the need game developers have to develop AI for their intelligent Agents in a ...

Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. Because ...

Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities ...

Semantic labelling refers to the problem of assigning known labels to the elements of structured information from a source ...

The popularity of knowledge graphs has led to the development of techniques to refine them and increase their quality. One ...

Through semantic labelling we enrich structured information from sources such as HTML pages, tables, or JSON files, with ...

In the context of knowledge graphs, the task of completion of relations consists in adding missing triples to a knowledge ...

Deep Web crawling refers to the problem of traversing the collection of pages in a deep Web site, which are dynamically ...

Knowledge Graphs (KGs) contain large amounts of structured information. Due to their inherent incompleteness, a process ...

Companies seek technological alternatives that provide competiti veness for their business processes. Among these alternatives, ...

Nowadays, the Web of Data is in its earliest stages; it is currently organised into a variety of linked knowledge bases ...

Web page classification refers to the problem of automatically assigning a web page to one or moreclasses after analysing ...

The Web of Data, which comprises web sources that provide their data in RDF, is gaining popularity day after day. ...

Enterprise Application Integration has played an important role in providing methodologies, techniques and tools to develop ...

The Web is evolving into a Web of Data in which RDF data are becoming pervasive, and it is organised into datasets that ...

Unsupervised web page classification refers to the problem of clustering the pages in a web site so that each cluster ...

A semantic-web ontology, simply known as ontology, comprises a data model and data that should comply with it. Due to ...

The goal of data exchange is to populate the data model of a target application using data that come from one or more ...

La integración de aplicaciones web dentro de procesos automatizados de negocio requiere el diseño de wrappers que permitan ...

The increasing popularity of the Web of Data is motivating the need to integrate semantic-web ontologies. Data exchange is ...

Most web page classifiers use features from the page content, which means that it has to be downloaded to be classified. ...

Virtual Integration systems require a crawling tool able to navigate and reach relevant pages in the Deep Web in an efficient ...

Deep Web sites expose data from a database, whose conceptual model remains hidden. Having access to that model is mandatory ...

The Web of Data, which comprises web sources that provide their data in RDF, is gaining popularity day after day. ...

Web page classification has been extensively researched, using different types of features that are extracted either from ...

Crawlers for Virtual Integration processes must be efficient, given that VI process is online, which means that while the ...

Data translation is an integration task that aims at populat- ing a target model with data of a source model by means of ...

Data translation, also known as data exchange, is an inte- gration task that aims at populating a target model using data ...

In recent years, many authors have paid attention to web information extractors. They usually build on an algorithm that ...

Data translation is an integration task that aims at populating a target model with data of a source model, which is ...

Virtual integration systems require a crawler to navigate through web sites automatically, looking for relevant information. ...

Virtual Integration systems require a crawling tool able to navigate and reach relevant pages in the Web in an efficient ...

The Semantic Web comprises a large amount of distributed and heterogeneous ontologies, which have been developed by ...

Deep-web information sources are difficult to integrate into automated business processes if they only provide a search ...