Semantic Interoperability in Internet of Things

2022 ◽  
pp. 140-171
Author(s):  
Kamalendu Pal
Keyword(s):  
Internet Of Things ◽  
Knowledge Representation ◽  
Service Management ◽  
Description Logics ◽  
Information Modeling ◽  
Distributed Data ◽  
Enterprise Information ◽  
Significant Research ◽  
Processing Information ◽  
Representation Techniques

The industry's internet of things (IoT) applications have drawn significant research attention in recent decades. IoT is a technology in which intelligent objects with sensors-enabled RFID tags, actuators, and processors communicate information to cater to a meaningful purpose in the industry. This way, IoT technology aims to simplify the distributed data collection in industrial practice, sharing and processing information and knowledge across many collaborating partners using suitable enterprise information systems. This chapter describes new methods with grounded knowledge representation techniques to address the needs of formal information modeling and reasoning for web-based services. The chapter presents a framework, apparel business decentralized data integration (ABDDI), which uses knowledge representation methods and formal languages (e.g., description logics – DLs) to annotate necessary business activities. This type of web service requires increased interoperability in service management operations.

A Framework to Data Integration for an Internet of Things Supporting Manufacturing Supply Chain Operation

2021 ◽  
pp. 218-235
Author(s):  
Kamalendu Pal
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Knowledge Representation ◽  
Data Integration ◽  
Description Logics ◽  
Business Case ◽  
Semantic Approach ◽  
Manufacturing Supply Chain ◽  
Production And Distribution ◽  
Representation Techniques

With the usage of the technologies like the internet of things (IoT) and Semantic Web service spanning across the spectrum of manufacturing, production, and distribution, typical supply chain management (SCM) systems depend on a multitude of services for operation purpose. The unprecedented growth of valuable data produced by decentralised information systems along the global manufacturing supply chain has led to a persuasive appeal for a semantic approach to integrating distributed data facilities in the field of collaborating logistic services. This technology combines a set of new mechanisms with grounded knowledge representation techniques to address the needs of formal information modelling and reasoning for web-based services. This chapter describes a framework, apparel business decentralised data integration (ABDDI), which exploits knowledge representation techniques and languages (e.g., description logics – DLs) to annotate relevant business activities. Finally, a simple business case is presented to demonstrate the framework's semantic similarity assessment functionality.

Blockchain-Integrated Internet-of-Things Architecture in Privacy Preserving for Large-Scale Healthcare Supply Chain Data

2022 ◽  
pp. 80-124
Author(s):  
Kamalendu Pal
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Information Systems ◽  
Data Collection ◽  
Internet Of Things ◽  
Communication Networks ◽  
Healthcare Industry ◽  
Enterprise Information ◽  
Blockchain Technology ◽  
Significant Research

The supply chain forms the backbone of healthcare industry operations. The design and development of healthcare information systems (HIS) help different types of decision-making at various levels of business operations. Business process management decision-making is a complex task requiring real-time data collection from different operational sources. Hence, information technology (IT) infrastructure for data acquisition and sharing affects the operational effectiveness of the healthcare industry. The internet of things (IoT) applications have drawn significant research interest in the service of the healthcare industry. IoT technology aims to simplify the distributed data collection in healthcare practice, sharing, and processing of information and knowledge across many collaborating partners using suitable enterprise information systems. However, implementing blockchain technology in IoT-based data communication networks demands extra research initiatives. This chapter presents a review of security-related issues in the context of a HIS consisting of IoT-based blockchain technology.

Significance of Building Information Modeling in Modern Project Management for Sustainable Smart City Applications

2021 ◽  
pp. 2141007
Author(s):  
Mengyi Lian ◽  
Xiaowei Liu
Keyword(s):  
Project Management ◽  
Internet Of Things ◽  
Smart City ◽  
Building Information Modeling ◽  
Information Modeling ◽  
The Internet ◽  
City Environment ◽  
Modern Project ◽  
Building Information ◽  
The Internet Of Things

Building information modeling (BIM) is one of the most exciting recent construction, engineering, and architecture developments. Built environments play a significant role in Smart City worldwide, and they are used to convey useful information to achieve smart city strategic goals. In modern project management, optimizing resources, BIM data integration, and data sharing in a smart city environment is challenging. Hence, in this paper, IoT-based Improved Building Information modeling (IoT-IBIM) has been proposed to overcome the challenges in building information modeling in modern project management for sustainable smart city applications. This paper discusses the efforts to create and integrate built-in environment data with IoT sensors for effective communication. The Internet of Things provides efficient resource control, increased efficiency, and improved human quality of life. As a result, the Internet of Things is a critical enabler of smart societies, including smart homes, smart cities, and smart factories. Building Information Modeling is an advanced asset allocation framework that generates high-quality output, reduces resource use, reduces environmental effects of development, and secures resources and availability for future generations. The experimental results show that the proposed IoT-IBIM method enhances the performance ratio and improves data integration and data sharing in a smart city environment.

Review in IoT for Healthcare in Our Life Engineering

2021 ◽  
Vol 18 (1) ◽  
pp. 9-20
Author(s):  
Bayadir Issa ◽  
Qabeela Thabit
Keyword(s):  
Internet Of Things ◽  
Healthcare Services ◽  
Technological Advancement ◽  
Enabling Technology ◽  
Significant Research ◽  
Previous Decade ◽  
Technology Services ◽  
The Many ◽  
Healthcare Expenses ◽  
The Internet Of Things

Over the previous decade, significant research has been conducted in the field of healthcare services and their technological advancement. To be more precise, the Internet of Things (IoT) has demonstrated potential for connecting numerous medical devices, sensors, and healthcare professionals in order to deliver high-quality medical services in remote locations. This has resulted in an increase in patient safety, a decrease in healthcare expenses, an increase in the healthcare services’ accessibility, and an increase in the industry’s healthcare operational efficiency. This paper provides an overview of the possible healthcare uses of Internet of Things (IoT)-based technologies. The evolution of the HIoT application has been discussed in this article in terms of enabling technology, services of healthcare, and applications for resolving different healthcare challenges. Additionally, effort difficulties and drawbacks with the HIoT system are explored. In summary, this study provides a complete source of information on the many applications of HIoT together the purpose is to help future academics who are interested in working in the field and making advances gain knowledge into the issue.

scholarly journals A Modular System Oriented to the Design of Versatile Knowledge Bases for Chatbots

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Giovanni Pilato ◽  
Agnese Augello ◽  
Salvatore Gaglio
Keyword(s):  
Corpus Callosum ◽  
Knowledge Representation ◽  
User Behavior ◽  
Knowledge Bases ◽  
Modular System ◽  
Conversational Agent ◽  
Proof Of Concept ◽  
Conversational Agents ◽  
Specific Domain ◽  
Representation Techniques

The paper illustrates a system that implements a framework, which is oriented to the development of a modular knowledge base for a conversational agent. This solution improves the flexibility of intelligent conversational agents in managing conversations. The modularity of the system grants a concurrent and synergic use of different knowledge representation techniques. According to this choice, it is possible to use the most adequate methodology for managing a conversation for a specific domain, taking into account particular features of the dialogue or the user behavior. We illustrate the implementation of a proof-of-concept prototype: a set of modules exploiting different knowledge representation methodologies and capable of managing different conversation features has been developed. Each module is automatically triggered through a component, named corpus callosum, that selects in real time the most adequate chatbot knowledge module to activate.

scholarly journals Relation between process and service logics

2013 ◽  
Vol 61 (2) ◽  
pp. 411-416
Author(s):  
Milan Mišovič ◽  
Jan Turčínek
Keyword(s):  
Information Systems ◽  
Business Process ◽  
Business Processes ◽  
Process Analysis ◽  
Information Modeling ◽  
General Context ◽  
Enterprise Information ◽  
Business Services ◽  
Enterprise Information Systems ◽  
Information Engineering

It is generally accepted that the process control of a small and medium-sized manufacturing business enterprise is the foundation of high quality care of firm’s business processes. Any business process is seen as an indivisible sequence of activity steps designed to perform complex business activities. In its statutory documents the company should have concise descriptions of at least the main processes, along with their contexts in a given department of the company and the employee position.The main business processes, of course many others, are not immutable, on the contrary, they are very often changing. Many processes occur, others are modified others disappear as antiquated and useless to support strategic business objectives. All this is a consequence of the firms’ effort needed to maintain competitiveness in the harsh and dynamic consumer market.Business processes are not isolated, many of them are part of a relatively large process chains, so-called enterprise services, see (Erl, 2005). The discipline of Software Engineering responded to the possibility of consolidating enterprise functionality with enterprise services with the method SOA (Service Oriented Architecture) leading to new applications for enterprise information systems.In contrast to business processes, business services are still not sufficiently recognized in the statutory documents of enterprises. Informaticians, producing software applications for enterprise information systems, must draw on company management knowledge relating to the general context and processes together with management to prepare business services. There are therefore more relevant questions based on the emergence of corporate services and information modeling in the discipline of Information Engineering. Acceptable responses are not included in a lot of publications or in publications of the doyen of SOA Thomas Erl, see (Erl, 2006) and thus the proposed SOA paradigm suffers from the same problem.The present article tries to give an answer to those questions and show the relevant theoretical basis for finding service solutions of business process logic. Furthermore, this article wants to show possible conversions of known methods of process analysis of Information Engineering disciplines, such as the method Eriksson – Penker Business Extensions, or the method ARIS by prof. Scheer, into the platform of enterprise services.

scholarly journals Research on Service Platform of Internet of Things for Smart City

2014 ◽  
Vol XL-4 ◽  
pp. 301-303 ◽  
Author(s):  
W. Wang ◽  
Z. He ◽  
D. Huang ◽  
X. Zhang
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Distributed Data ◽  
Data Service ◽  
Mass Storage ◽  
Data Standards ◽  
Mass Sensors ◽  
The Internet Of Things ◽  
Time Acquisition ◽  
Surveying And Mapping

The application of Internet of Things in surveying and mapping industry basically is at the exploration stage, has not formed a unified standard. Chongqing Institute of Surveying and Mapping (CQISM) launched the research p roject "Research on the Technology of Internet of Things for Smart City". The project focuses on the key technologies of information transmission and exchange on the Internet of Things platform. The data standards of Internet of Things are designed. The real-time acquisition, mass storage and distributed data service of mass sensors are realized. On this basis, CQISM deploys the prototype platform of Internet of Things. The simulation application in Connected Car proves that the platform design is scientific and practical.

scholarly journals Unifying Class-Based Representation Formalisms

1999 ◽  
Vol 11 ◽  
pp. 199-240 ◽  
Author(s):  
D. Calvanese ◽  
M. Lenzerini ◽  
D. Nardi
Keyword(s):  
Knowledge Representation ◽  
Description Logic ◽  
Description Logics ◽  
Expressive Power ◽  
Finite Model ◽  
Functional Dependencies ◽  
Semantic Data ◽  
Representation Systems ◽  
Frame Systems ◽  
Essential Set

The notion of class is ubiquitous in computer science and is central in many formalisms for the representation of structured knowledge used both in knowledge representation and in databases. In this paper we study the basic issues underlying such representation formalisms and single out both their common characteristics and their distinguishing features. Such investigation leads us to propose a unifying framework in which we are able to capture the fundamental aspects of several representation languages used in different contexts. The proposed formalism is expressed in the style of description logics, which have been introduced in knowledge representation as a means to provide a semantically well-founded basis for the structural aspects of knowledge representation systems. The description logic considered in this paper is a subset of first order logic with nice computational characteristics. It is quite expressive and features a novel combination of constructs that has not been studied before. The distinguishing constructs are number restrictions, which generalize existence and functional dependencies, inverse roles, which allow one to refer to the inverse of a relationship, and possibly cyclic assertions, which are necessary for capturing real world domains. We are able to show that it is precisely such combination of constructs that makes our logic powerful enough to model the essential set of features for defining class structures that are common to frame systems, object-oriented database languages, and semantic data models. As a consequence of the established correspondences, several significant extensions of each of the above formalisms become available. The high expressiveness of the logic we propose and the need for capturing the reasoning in different contexts forces us to distinguish between unrestricted and finite model reasoning. A notable feature of our proposal is that reasoning in both cases is decidable. We argue that, by virtue of the high expressive power and of the associated reasoning capabilities on both unrestricted and finite models, our logic provides a common core for class-based representation formalisms.

An Ontology-based approach to enable data-driven research in the field of NDT in Civil Engineering

2021 ◽  
Author(s):  
Benjamin Moreno-Torres ◽  
Christoph Völker ◽  
Sabine Kruschwitz
Keyword(s):  
Knowledge Representation ◽  
Civil Engineering ◽  
Common Knowledge ◽  
Measurement Data ◽  
Data Access ◽  
Semantic Knowledge ◽  
Data Sources ◽  
Data Sets ◽  
Extensive Literature ◽  
Distributed Data

<div> <p>Non-destructive testing (NDT) data in civil engineering is regularly used for scientific analysis. However, there is no uniform representation of the data yet. An analysis of distributed data sets across different test objects is therefore too difficult in most cases.</p> <p>To overcome this, we present an approach for an integrated data management of distributed data sets based on Semantic Web technologies. The cornerstone of this approach is an ontology, a semantic knowledge representation of our domain. This NDT-CE ontology is later populated with the data sources. Using the properties and the relationships between concepts that the ontology contains, we make these data sets meaningful also for machines. Furthermore, the ontology can be used as a central interface for database access. Non-domain data sources can be integrated by linking them with the NDT ontology, making them directly available for generic use in terms of digitization. Based on an extensive literature research, we outline the possibilities that result for NDT in civil engineering, such as computer-aided sorting and analysis of measurement data, and the recognition and explanation of correlations.</p> <p>A common knowledge representation and data access allows the scientific exploitation of existing data sources with data-based methods (such as image recognition, measurement uncertainty calculations, factor analysis or material characterization) and simplifies bidirectional knowledge and data transfer between engineers and NDT specialists.</p> </div>

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