Semantic Web Services for Multi-Agent Systems

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Smart System Infrastructure and Applications".

Deadline for manuscript submissions: 15 April 2024 | Viewed by 3645

Special Issue Editors

1. Intelligent Systems Department, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
2. Computer Systems Department, Plovdiv University “Paisii Hilendarski”, 4000 Plovdiv, Bulgaria
Interests: AI; multi-agent systems; intelligent agents; virtual–physical spaces; semantic modeling; smart agriculture
Special Issues, Collections and Topics in MDPI journals
Intelligent Systems Department, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Interests: AI; multi-agent systems; intelligent systems; radar technologies; process control; smart agriculture

Special Issue Information

Dear Colleagues,

Systems exposing intelligent behavior are becoming increasingly relevant and present in our daily lives. Building such systems is a huge challenge. However, the integration of various concepts, technologies, and solutions can contribute to the solution. Intelligent agents are autonomous components that can recognize and influence the environment in which they operate. Furthermore, intelligent agents can initiate certain actions to achieve a specific goal. Usually, societies of agents work together as multi-agent systems; in such cases, issues such as cooperation, negotiation, and joint implementation of plans are at the forefront of attention. Agent-oriented approaches are suitable for developing systems that take dynamic changes in the environment into account. However, they are not appropriate components for implementing functionality (business logic) in applications.

Services are components that implement functionality. One such type of special service is semantic web services. In client–server architectures, semantic web services (such as conventional web services) fulfill the role of the server-end of machine–machine interaction through the world-wide web. At the same time, semantic web services are components of the semantic web because they utilize markup, which makes data machine-readable.

The development of a third prospective aspect, which deals with the intelligent structuring of data as semantic models (ontologies) to obtain powerful tools for developing truly intelligent systems, is an ongoing project.

Therefore, this Special Issue will present the latest developments in architectures and platforms integrating intelligent agents, semantic web services, and ontologies. We especially welcome contributions presenting the application of such components in various fields. Investigators in the field are invited to contribute their original, unpublished works to this issue. Both research and review papers are welcome.

Finally, I would like to thank Dr. Veneta Tabakova-Komsalova and his valuable work for assisting us with this Special Issue.

Prof. Dr. Stanimir Stoyanov
Prof. Dr. Lyubka Doukovska
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. 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 1600 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 agent
  • multi-agent systems
  • semantic web services
  • ontologies
  • integrated architectures
  • platforms

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

27 pages, 5489 KiB  
Article
A New AI-Based Semantic Cyber Intelligence Agent
Future Internet 2023, 15(7), 231; https://doi.org/10.3390/fi15070231 - 29 Jun 2023
Cited by 5 | Viewed by 1676
Abstract
The surge in cybercrime has emerged as a pressing concern in contemporary society due to its far-reaching financial, social, and psychological repercussions on individuals. Beyond inflicting monetary losses, cyber-attacks exert adverse effects on the social fabric and psychological well-being of the affected individuals. [...] Read more.
The surge in cybercrime has emerged as a pressing concern in contemporary society due to its far-reaching financial, social, and psychological repercussions on individuals. Beyond inflicting monetary losses, cyber-attacks exert adverse effects on the social fabric and psychological well-being of the affected individuals. In order to mitigate the deleterious consequences of cyber threats, adoption of an intelligent agent-based solution to enhance the speed and comprehensiveness of cyber intelligence is advocated. In this paper, a novel cyber intelligence solution is proposed, employing four semantic agents that interact autonomously to acquire crucial cyber intelligence pertaining to any given country. The solution leverages a combination of techniques, including a convolutional neural network (CNN), sentiment analysis, exponential smoothing, latent Dirichlet allocation (LDA), term frequency-inverse document frequency (TF-IDF), Porter stemming, and others, to analyse data from both social media and web sources. The proposed method underwent evaluation from 13 October 2022 to 6 April 2023, utilizing a dataset comprising 37,386 tweets generated by 30,706 users across 54 languages. To address non-English content, a total of 8199 HTTP requests were made to facilitate translation. Additionally, the system processed 238,220 cyber threat data from the web. Within a remarkably brief duration of 6 s, the system autonomously generated a comprehensive cyber intelligence report encompassing 7 critical dimensions of cyber intelligence for countries such as Russia, Ukraine, China, Iran, India, and Australia. Full article
(This article belongs to the Special Issue Semantic Web Services for Multi-Agent Systems)
Show Figures

Figure 1

32 pages, 2154 KiB  
Article
From Service Composition to Mashup Editor: A Multiperspective Taxonomy
Future Internet 2023, 15(2), 59; https://doi.org/10.3390/fi15020059 - 31 Jan 2023
Viewed by 1396
Abstract
Service-oriented computing has become a popular area of research, with a particular focus on service composition. There have been many developments in this field, such as new techniques for data engineering in service description languages, protocols for publication and discovery, the optimization of [...] Read more.
Service-oriented computing has become a popular area of research, with a particular focus on service composition. There have been many developments in this field, such as new techniques for data engineering in service description languages, protocols for publication and discovery, the optimization of service selection and scheduling, and the deployment and monitoring of composed services. However, this diversity of approaches and methodologies can make it challenging to navigate between different proposed solutions and identify research gaps. In order to provide a clearer understanding of this body of work, this paper presents a comprehensive framework for the taxonomy of service composition approaches, methodologies, and tools. This framework proposes a structured view of different perspectives, such as formal, semantic, and automatic approaches, with a particular focus on the end-user’s perspective and tools such as Mashups. Full article
(This article belongs to the Special Issue Semantic Web Services for Multi-Agent Systems)
Show Figures

Figure 1

Back to TopTop