scholarly journals A Semantic-Enabled Platform for Realizing an Interoperable Web of Things

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 869 ◽  
Author(s):  
Jorge Lanza ◽  
Luis Sánchez ◽  
David Gómez ◽  
Juan Ramón Santana ◽  
Pablo Sotres
Keyword(s):  
Service Providers ◽  
Market Potential ◽  
Data Interoperability ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Cross Domain ◽  
Vertical Data ◽  
Cross Platform ◽  
Iot Devices ◽  
The Internet Of Things

Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available. Consequently, service providers can only access vertical data silos that imply high costs and jeopardize their solutions market potential. It is necessary to transform the current situation with competing non-interoperable IoT platforms into a common ecosystem enabling the emergence of cross-platform, cross-standard, and cross-domain IoT services and applications. This paper presents a platform that has been implemented for realizing this vision. It leverages semantic web technologies to address the two key challenges in expanding the IoT beyond product silos into web-scale open ecosystems: data interoperability and resources identification and discovery. The paper provides extensive description of the proposed solution and its implementation details. Regarding the implementation details, it is important to highlight that the platform described in this paper is currently supporting the federation of eleven IoT deployments (from heterogeneous application domains) with over 10,000 IoT devices overall which produce hundreds of thousands of observations per day.

How Industry 4.0 Can Benefit From Semantic Web Technologies and Artefacts

2021 ◽  
Vol 13 (4) ◽  
pp. 64-74
Author(s):  
Leila Zemmouchi-Ghomari
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Semantic Web ◽  
Industry 4.0 ◽  
The Internet ◽  
Time Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Real Time Data ◽  
The Internet Of Things

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.

Using Ontological E-Services Framework to Orchestrate E-Business Process Services

2018 ◽  
pp. 605-630
Author(s):  
Tung-Hsiang Chou ◽  
Ching-Chang Lee ◽  
Chin-Wen Lin
Keyword(s):  
Web Services ◽  
Web 2.0 ◽  
Business Models ◽  
Service Providers ◽  
The Internet ◽  
Semantic Web Technologies ◽  
Internet Service ◽  
Web Technologies ◽  
Framework Design ◽  
Internet Users

The Internet has come a long way over the past twenty years, and many Internet-era enterprises have had to face daunting challenges while trying to create innovative business models. Many types of Internet interactions can facilitate networking (e.g., The Web, Web services). Since the advent of the Internet, service requesters and service providers have generated diverse electronic services (e-services), and since 2003, many experts have proposed the concept of Web 2.0. People rely on Internet e-services to execute activities and meet requirements; however, e-services lack a standardization method for constructing and managing them. The current study presents a framework design and a comprehensive interface for e-service providers and requesters. The study adopts the concept of Web 2.0 by using Web services with related standards for developing the framework design. Specifically, the study uses semantic Web technologies to complete the construction of e-services. After that, Internet users can quickly and conveniently access the framework to obtain suitable e-services.

scholarly journals Matching IoT Devices to the Fog Service Providers: A Mechanism Design Perspective

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6761
Author(s):  
Anjan Bandyopadhyay ◽  
Vikash Kumar Singh ◽  
Sajal Mukhopadhyay ◽  
Ujjwal Rai ◽  
Fatos Xhafa ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Mechanism Design ◽  
Service Providers ◽  
The Internet ◽  
Preference Ordering ◽  
Cloud Architecture ◽  
Game Theoretic ◽  
Design Perspective ◽  
Iot Devices ◽  
The Internet Of Things

In the Internet of Things (IoT) + Fog + Cloud architecture, with the unprecedented growth of IoT devices, one of the challenging issues that needs to be tackled is to allocate Fog service providers (FSPs) to IoT devices, especially in a game-theoretic environment. Here, the issue of allocation of FSPs to the IoT devices is sifted with game-theoretic idea so that utility maximizing agents may be benign. In this scenario, we have multiple IoT devices and multiple FSPs, and the IoT devices give preference ordering over the subset of FSPs. Given such a scenario, the goal is to allocate at most one FSP to each of the IoT devices. We propose mechanisms based on the theory of mechanism design without money to allocate FSPs to the IoT devices. The proposed mechanisms have been designed in a flexible manner to address the long and short duration access of the FSPs to the IoT devices. For analytical results, we have proved the economic robustness, and probabilistic analyses have been carried out for allocation of IoT devices to the FSPs. In simulation, mechanism efficiency is laid out under different scenarios with an implementation in Python.

scholarly journals Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic Search

2020 ◽  
Vol 39 (3) ◽  
pp. 595-602
Author(s):  
Aatif Ahmad Khan ◽  
Sanjay Kumar Malik
Keyword(s):  
Domain Knowledge ◽  
Large Scale ◽  
Open Data ◽  
Knowledge Bases ◽  
Semantic Search ◽  
Semantic Web Technologies ◽  
Data Format ◽  
Web Technologies ◽  
Cross Domain ◽  
Description Framework

Semantic Search refers to set of approaches dealing with usage of Semantic Web technologies for information retrieval in order to make the process machine understandable and fetch precise results. Knowledge Bases (KB) act as the backbone for semantic search approaches to provide machine interpretable information for query processing and retrieval of results. These KB include Resource Description Framework (RDF) datasets and populated ontologies. In this paper, an assessment of the largest cross-domain KB is presented that are exploited in large scale semantic search and are freely available on Linked Open Data Cloud. Analysis of these datasets is a prerequisite for modeling effective semantic search approaches because of their suitability for particular applications. Only the large scale, cross-domain datasets are considered, which are having sizes more than 10 million RDF triples. Survey of sizes of the datasets in triples count has been depicted along with triples data format(s) supported by them, which is quite significant to develop effective semantic search models.

scholarly journals Challenges and Opportunities in Applying Semantics to Improve Access Control in the Field of Internet of Things

2018 ◽  
Vol 21 (2) ◽  
pp. 66
Author(s):  
Riste Stojanov ◽  
Vladimir Zdraveski ◽  
Dimitar Trajanov
Keyword(s):  
Access Control ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Semantic Inference ◽  
Current State ◽  
Access Control Policies ◽  
Highly Sensitive ◽  
Challenges And Opportunities ◽  
Iot Devices ◽  
Authentication Security

The increased number of IoT devices results in continuously generated massive amounts of raw data. Parts of this data are private and highly sensitive as they reflect owner’s behavior, obligations, habits, and preferences. In this paper, we point out that flexible and comprehensive access control policies are “a must” in the IoT domain. The Semantic Web technologies can address many of the challenges that the IoT access control is facing with today. Therefore, we analyze the current state of the art in this area and identify the challenges and opportunities for improved access control in a semantically enriched IoT environment. Applying semantics to IoT access control opens a lot of opportunities, such as semantic inference and reasoning, easy data sharing, data trading, new approaches to authentication, security policies based on a natural language and enhances the interoperability using a common ontology.

scholarly journals Empowering Web Service Search with Business Know-How

2012 ◽  
pp. 1458-1474
Author(s):  
Isabelle Mirbel ◽  
Pierre Crescenzo ◽  
Nadia Cerezo
Keyword(s):  
Web Service ◽  
Service Oriented Architecture ◽  
Service Providers ◽  
Requirement Engineering ◽  
Scientific Workflow ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Know How ◽  
Service Oriented ◽  
Technical Solutions

Scientists who are not proficient in computer science and yet wish to perform in-silico experiments and harness the power of Service Oriented Architecture are presented with dozens of daunting technical solutions: scientific workflow frameworks. While these systems do take care of complex technical aspects such as Grid technologies, little is done to support transfer of service composition knowledge and know-how. The authors of this chapter believe the problem lies in the scientific workflow models which are too low-level and too anchored in the underlying technologies to allow efficient reuse and sharing. This chapter’s approach, called SATIS, relies on a goal-driven model, that has proven its worth in requirement engineering, and the Semantic Web technologies to leverage the collective knowledge and know-how in order to bridge the gap between service providers and end-users.

scholarly journals Empowering Web Service Search with Business Know-How

2011 ◽  
pp. 161-176
Author(s):  
Isabelle Mirbel ◽  
Pierre Crescenzo ◽  
Nadia Cerezo
Keyword(s):  
Web Service ◽  
Service Oriented Architecture ◽  
Service Providers ◽  
Requirement Engineering ◽  
Scientific Workflow ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Know How ◽  
Service Oriented ◽  
Technical Solutions

Scientists who are not proficient in computer science and yet wish to perform in-silico experiments and harness the power of Service Oriented Architecture are presented with dozens of daunting technical solutions: scientific workflow frameworks. While these systems do take care of complex technical aspects such as Grid technologies, little is done to support transfer of service composition knowledge and know-how. The authors of this chapter believe the problem lies in the scientific workflow models which are too low-level and too anchored in the underlying technologies to allow efficient reuse and sharing. This chapter’s approach, called SATIS, relies on a goal-driven model, that has proven its worth in requirement engineering, and the Semantic Web technologies to leverage the collective knowledge and know-how in order to bridge the gap between service providers and end-users.

scholarly journals Ontology-Defined Middleware for Internet of Things Architectures

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1163 ◽  
Author(s):  
Víctor Caballero ◽  
Sergi Valbuena ◽  
David Vernet ◽  
Agustín Zaballos
Keyword(s):  
Internet Of Things ◽  
Data Exchange ◽  
The Internet ◽  
Semantic Web Technologies ◽  
Web Of Things ◽  
Web Technologies ◽  
Massive Number ◽  
The Internet Of Things ◽  
Exchange Data ◽  
The Web

The Internet of Things scenario is composed of an amalgamation of physical devices. Those physical devices are heterogeneous in their nature both in terms of communication protocols and in data exchange formats. The Web of Things emerged as a homogenization layer that uses well-established web technologies and semantic web technologies to exchange data. Therefore, the Web of Things enables such physical devices to the web, they become Web Things. Given such a massive number of services and processes that the Internet of Things/Web of Things enables, it has become almost mandatory to describe their properties and characteristics. Several web ontologies and description frameworks are devoted to that purpose. Ontologies such as SOSA/SSN or OWL-S describe the Web Things and their procedures to sense or actuate. For example, OWL-S complements SOSA/SSN in describing the procedures used for sensing/actuating. It is, however, not its scope to be specific enough to enable a computer program to interpret and execute the defined flow of control. In this work, it is our goal to investigate how we can model those procedures using web ontologies in a manner that allows us to directly deploy the procedure implementation. A prototype implementation of the results of our research is implemented along with an analysis of several use cases to show the generality of our proposal.

Sign in / Sign up

Export Citation Format

Share Document