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Exploring Semantic Technologies and Their Application

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 October 2025 | Viewed by 737

Special Issue Editors


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Guest Editor
Tecnológico Nacional de México/I.T.S. Teziutlán, Fracción I y II S/N, Aire Libre, Teziutlán 73960, Puebla, Mexico
Interests: data mining; cloud computing; natural language processing; web development; sentiment analysis

E-Mail Website
Guest Editor
Tecnológico Nacional de México/I.T.S. Teziutlán, Fracción I y II S/N, Aire Libre, Teziutlán 73960, Puebla, Mexico
Interests: data mining; cloud computing; natural language processing; web development; sentiment analysis

E-Mail Website
Guest Editor
Tecnológico Nacional de México/ I. T. Orizaba, Orizaba 94320, Mexico
Interests: big data; Internet of Things; knowledge management; software engineering; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Semantic technologies provide advanced means for categorizing and processing data, enhancing data comprehensibility, and uncovering meaning within data to help systems understand language and process information like humans do. Semantic technologies involve the Semantic Web, Ontologies, Natural Language Processing, Knowledge Graphs, Semantic Search, Linked Data, and Data Mining, among others.

Semantic technologies have become a key driver of innovation and change in many areas, including healthcare, e-commerce, software engineering, entertainment, intelligent agents, data governance, and emerging cognitive applications. However, these technologies still face the challenge of effectively managing the increasing complexity and volume of data generated in the digital world. This fact has encouraged the development of scientific research that expands the limits of how we understand, develop, and use semantic technologies. Advances in this field are reflected in methodologies, methods, tools, and standards that facilitate the development and implementation new solutions for attaining enhanced data interoperability and more sophisticated reasoning abilities.

The Special Issue on "Exploring Semantic Technologies and Their Application" welcomes recent research works within Semantic technologies and ontological engineering that provide effective solutions to key unsolved problems. The call is open to a broad thematic range of papers covering recent applications of the theoretical foundations of Semantic technologies and ontology engineering, as well as innovative applications and real-world implementations.

Relevant topics include, but are not restricted to:

  • Intelligent Agents;
  • Cognitive Applications;
  • Knowledge Graphs and Applications;
  • Natural Language Processing and Semantic Technologies;
  • Semantic Web and Linked Data;
  • Ontology Engineering;
  • Semantic Technologies and Education;
  • Semantic Technologies in Government and Public Sector;
  • Semantic Technologies in Finance and Business Applications;
  • Semantic Technologies for Scientific Research;
  • Semantic Technologies for IoT and Smart Environments;

Dr. María del Pilar Salas-Zárate
Dr. Mario Paredes-Valverde
Prof. Dr. Giner Alor-Hernández
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 submissions that pass pre-check are 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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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

  • intelligent agents
  • cognitive applications
  • knowledge graphs and applications
  • natural language processing and semantic technologies
  • semantic web and linked data
  • ontology engineering
  • semantic technologies and education
  • semantic technologies in government and public sector
  • semantic technologies in finance and business applications
  • semantic technologies for scientific research
  • semantic technologies for IoT and smart environments

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Published Papers (1 paper)

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Research

23 pages, 2438 KiB  
Article
Using Topic Modeling as a Semantic Technology: Examining Research Article Claims to Identify the Role of Non-Human Actants in the Pursuit of Scientific Inventions
by Stoyan Tanev and Samantha Sieklicki
Appl. Sci. 2025, 15(6), 3253; https://doi.org/10.3390/app15063253 - 17 Mar 2025
Viewed by 242
Abstract
Actor-network theory (ANT) represents a research paradigm that emerged within science and technology studies by explicitly focusing on the contingency of scientific inventions and the role of non-human actants in the invention course of action. The article adopts an ANT perspective to focus [...] Read more.
Actor-network theory (ANT) represents a research paradigm that emerged within science and technology studies by explicitly focusing on the contingency of scientific inventions and the role of non-human actants in the invention course of action. The article adopts an ANT perspective to focus on the invention of Sub-Wavelength Grating (SWG) photonic metamaterials by the members of a research group in the National Research Council (NRC) of Canada. The results are based on unstructured interviews with the key inventor and two domain experts as well as on textual analysis (topic modeling) of the contributions and novelty claims in the corpus of research articles by the NRC group crafting the concept and potential applications of SWGs in the photonics domain. Topic modeling is a type of statistical modeling that uses unsupervised machine learning to identify clusters or groups of similar words within a body of text. It uses semantic structures in texts to understand unstructured data without predefined tags or training data. Adopting topic modeling as a semantic technology allowed the identification of two of the key non-human factors or actants: (a) photonics design and simulations and (b) the fabrication techniques and facilities used to produce the physical prototypes of the photonics devices incorporating the invented SWG waveguiding effect. Using topic modeling as a semantic technology in ANT-inspired research studies focusing on non-human actants provides significant opportunities for future research. Full article
(This article belongs to the Special Issue Exploring Semantic Technologies and Their Application)
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