Special Issue "New Perspectives on Semantic Web Technologies and Applications"

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: 30 June 2019

Special Issue Editors

Guest Editor
Prof. Dr. Rafael Valencia-Garcia

Department of Informatics and Systems, Faculty of Informatics, University of Murcia, 30100 Murcia, Spain
Website | E-Mail
Phone: +34-868-888522
Fax: +34-868-884151
Interests: natural language processing; semantic web technologies; ontologies; knowledge acquisition; recommender systems; opinion mining; social semantic web
Guest Editor
Dr. Giner Alor-Hernández

Tecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9 No. 852, Col. E. Zapata, 94320 Orizaba, Veracruz, Mexico
Website | E-Mail
Interests: semantic web; intelligent systems; big data; internet of things
Guest Editor
Dr. Mario Andrés Paredes-Valverde

Tecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9 No. 852, Col. E. Zapata, 94320 Orizaba, Veracruz, Mexico
Website | E-Mail
Interests: natural language processing; information retrieval; ontologies; opinion mining; semantic web technologies, knowledge-based decision support systems

Special Issue Information

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • data sources integration
  • knowledge engineering
  • ontologies
  • ontological engineering
  • knowledge-based systems
  • semantic technologies and ontologies
  • semantic web
  • social web
  • semantic web-based applications
  • semantic web of things

Published Papers (1 paper)

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Research

Open AccessArticle myDIG: Personalized Illicit Domain-Specific Knowledge Discovery with No Programming
Future Internet 2019, 11(3), 59; https://doi.org/10.3390/fi11030059
Received: 19 January 2019 / Revised: 20 February 2019 / Accepted: 22 February 2019 / Published: 4 March 2019
PDF Full-text (2514 KB) | HTML Full-text | XML Full-text
Abstract
With advances in machine learning, knowledge discovery systems have become very complicated to set up, requiring extensive tuning and programming effort. Democratizing such technology so that non-technical domain experts can avail themselves of these advances in an interactive and personalized way is an [...] Read more.
With advances in machine learning, knowledge discovery systems have become very complicated to set up, requiring extensive tuning and programming effort. Democratizing such technology so that non-technical domain experts can avail themselves of these advances in an interactive and personalized way is an important problem. We describe myDIG, a highly modular, open source pipeline-construction system that is specifically geared towards investigative users (e.g., law enforcement) with no programming abilities. The myDIG system allows users both to build a knowledge graph of entities, relationships, and attributes for illicit domains from a raw HTML corpus and also to set up a personalized search interface for analyzing the structured knowledge. We use qualitative and quantitative data from five case studies involving investigative experts from illicit domains such as securities fraud and illegal firearms sales to illustrate the potential of myDIG. Full article
(This article belongs to the Special Issue New Perspectives on Semantic Web Technologies and Applications)
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