New Perspectives on Semantic Web Technologies and Applications

Dear Colleagues,

Semantic web technologies have been active in recent years and have attracted interest among researchers. Such technologies allow software agents as well as humans to understand and interpret the meaning of data in order to perform sophisticated tasks. Furthermore, they have had a considerable impact on data and knowledge analysis and sharing. Semantic web technologies have become a key driver for innovation and change in many domains, including eCommerce, education, eGovernment, entertainment, healthcare, social networks, and software engineering, among others. For instance, ontologies, a fundamental pillar of the semantic web, have been successfully applied to develop or improve systems addressing knowledge-based tasks and processes. Moreover, leveraging ontologies towards interoperability and model-based systems allows the current lack of common understanding among systems and applications to be dealt with efficiently.

Several novel areas leveraging semantic web technologies have emerged. These include, among others: Industry 4.0, social web, geospatial semantics, ontology-based data access, knowledge-based decision support systems, and semantic web of things. These areas have given way to new needs in different domains. Therefore, semantic web-based systems have to evolve and adapt to each domain and application. In this sense, researchers from semantic web areas such as ontological engineering, knowledge representation and reasoning, ontology alignment, ontology population, ontology matching, and others are working intensively to develop innovative systems as solutions to emerging needs. However, the evolution and specialization of this kind of system seem to be moderate. To accelerate this process, original research on advanced semantic web technologies, innovative designs that combine semantic web technologies with other technologies, research efforts that deploy semantic web-based systems, and the exploration of new semantic web technologies are necessary.

This Special Issue aims to collect innovative and high-quality research contributions that illustrate how semantic web technologies can benefit from the interaction of different disciplines, such as artificial intelligence, Big Data, cloud computing, knowledge engineering, machine learning, natural language processing, and social web, among others, to provide effective solutions to currently unresolved key problems. This Special Issue is soliciting original, conceptual, theoretical, and experimental scientific contributions discussing and treating the development of semantic web-based applications.

Relevant topics include, but are not restricted to:

• Application of machine learning and Big Data analytics;
• Consumption and publication of linked data;
• Context-aware system using semantic web technologies;
• Data mining for web of data;
• Industry 4.0 implementation and real-world case studies;
• Integration of heterogeneous data sources;
• Ontology-based data access;
• Knowledge-based decision support systems;
• Knowledge-based recommender systems;
• Knowledge representation;
• Machine learning for web of data;
• Mobile web;
• Natural language processing;
• Ontological engineering;
• Ontology population;
• Semantic web of things;
• Semantic web-based technologies for Big Data;
• Sentiment analysis and semantic web;
• Geospatial semantics;
• Social networks and graph analysis;
• Social web and semantic web.

Prof. Dr. Rafael Valencia-Garcia
Dr. Giner Alor-Hernández
Dr. Mario Andrés Paredes-Valverde
Guest Editors

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