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 ...

In the last few years, we have witnessed the emergence of several knowledge graphs that explicitly describe research ...

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 ...

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. ...

Aviation data has become increasingly more accessible to the public thanks to the adoption of technologies such as Automatic ...

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 ...

Linking individuals in one dataset to other same individuals in existing datasets is a major problem known as link discovery. ...

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 ...

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

There is an increasing interest in publishing data using the Linked Open Data philosophy. To link the RDF datasets, a link ...

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. ...

Most approaches to keywords discovery when analyzing microblogging messages (among them those from Twitter) are based on ...

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 ...

Service ranking has been long-acknowledged to play a fundamental role in helping users to select the best o erings among ...

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

In Business Process Management Systems, human resource management typically covers two steps: resource assignment at design ...

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

El objetivo del intercambio de datos es cargar un modelo de datos de destino usando datos procedentes de uno o más modelos ...

There exist many available service ranking implementations, each one providing ad hoc preference models that offer different ...

Semantic Web Services discovery is commonly a heavyweight task, which has scalability issues when the number of services ...

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 ...

Preference modeling constitutes an essential component for the execution of Semantic Web Service (SWS) discovery and, ...

Linked Data sources on the Web use a wide range of different vocabularies to represent data describing the same type of ...

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. ...

Los Servicios Web Semánticos (SWSs) se han convertido en un área de investigación muy activa, en la que diversos frameworks, ...

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 ...

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. ...

Semantic Web Services discovery is commonly a heavyweight task, which has scal ability issues when the number of services ...

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 ...

The actual value of the Deep Web comes from integrating the data its applications provide. Such applications offer ...

Current proposals on Semantic Web Services discovery and ranking are based on user preferences descriptions that often ...

El descubrimiento y ranking de servicios Web semánticos suele realizarse en base a una serie de preferencias de usuario, ...

When integrating the information of a number of applications, one solution is to provide one or more unified entry points ...

Enterprise Application Integration (EAI) is currently one of the big challenges for Software Engineering. According to a ...

Ranking of Semantic Web Services is usually performed based on user preferences descriptions. These descriptions are ...

Current Semantic Web Services discovery and ranking proposals are based on user preferences descriptions whose expressiveness ...

In order to select the best suited service among a set of discovered services, with respect to QOS parameters, a user have ...

Most Semantic Web Services discovery ap- proaches are based on Description Logics, allowing a limited expressiveness when ...

Avoiding conspiratorial executions is useful for debugging, model checking or refinement, and helps implement several ...

One the most challenging problems for Enterprise Information Integration is to deal with heterogeneous information sources ...

Discovery tasks in the context of Semantic Web Services are generally performed using Description Logics. However, this ...

Most Semantic Web Services discovery approaches are not well suited when using complex relational, arithmetic and logical ...

In this paper, we present a new framework to extract knowledge from today’s non-semantic web. It associates semantics with ...

In the context of the Multiparty Interaction Model, fairness is used to insure that an interaction that is enabled ...

The web seems to be the biggest existing information repository. The extraction of information from this repository has ...

Coordination axnongst an arbitrary number of entities has become an important issue in recent years m fields such as ...

El problema de la vivacidad y la seleccion justa surge en el contexto de los sistemas con ejecuciones no deterministas. ...

Multiparty interactions have been paid much attention in recent years because they provide the user with a useful mechanism for ...

Strong fairness is a notion we can use to ensure that an element that is enabled infinitely often in a non–deterministic ...

La selección complemente justa surge en el contexto de los programas no deterministas y sirve para garantizar que todos ...

Separation of concerns has been presented as a promising tool to tackle the design of complex systems in which cross–cutting ...

Classical client/server interaction primitives such as remote procedure call or rendez–vous are not adequate when we need ...

Multiparty interactions are the key to describe problems where three or more processes need to collaborate simultaneously ...