A Survey on Ontologies’ Adaptability and Interoperability

In this paper we present a detailed exploration of ontology-driven approaches and strategies for integrating product data between CAD/CAE applications. We structure the ontology model into three layers: General Domain Ontology, Domain Specific Ontology, and Application Specific Ontology. In particular, Application Specific Ontologies are built for PRO/E, CATIA, and a virtual assembly design tool called VADE. This allows the integration processes to be demonstrated for a) two applications in the common domain of product design, and b) two applications in different domains, one in the product design domain and the other in an assembly simulation domain. In addition, these ontology-driven strategies are compared with two other approaches. The first study focuses on the knowledge modeling aspect and compares the ontology approach with a standard modeling language, UML. The second study focuses on data integration and translation aspect and compares the ontology-driven approach with a traditional one. It is concluded that an ontology-driven approach is superior for solving heterogeneous data problems involving multiple applications by managing data on semantic level.

The Semantic Internet of Things (SIoT) is an Internet of Things (IoT) extension that uses semantic technologies to improve interoperability and understanding of data generated by connected devices. The SIoT can help in smart health by providing a common language and framework for exchanging and integrating health-related data from various sources. This has the potential to improve the accuracy and efficiency of health monitoring and decision-making, allowing for more personalized and effective health interventions. This chapter outlines the Semantic Internet of Things’ core concepts, specifies its focus areas, and lists its various requirements, difficulties, and uses. Through the presentation of a literature review on Semantic Internet of Things healthcare systems, including challenges, prospects, and current work, we highlight the best outcomes for semantics among IoT systems in healthcare, which can serve as a guideline for future research. The chapter also provides an overview of the use of semantic technologies in healthcare IoT, including new projects, frameworks, and specific ontologies that use semantic technologies to address semantic interoperability and heterogeneity issues.

ASIS&T research data access and preservation summit: Conference summary

Two problems are arisen while integrating number of tables from number of web pages, i.e. structural conflict and semantic conflict. To tackle those problems, the proposed study combines some existing methods that are already proven to solve problems in integrating process. The proposed integration process of HTML table consists of 4 phases: (1) locating the table in web pages, (2) separating attributes and data values, (3) integrating the table scheme, (4) migrating the data values into integrated scheme. Table location in web page is determined using heuristic approach. This approach also can separate the attributes and the data values of the table. Semantic conflict that is apparent while integrating the table scheme is handled using domain specific ontology. The resulted data value, then, is migrated to table scheme in line with duplication data checking using vector space model. Result of the integration is presented as single HTML table. This approach is implemented as an engine that is coded using Phyton language. Result of experiment shows that the proposed approach can be used to integrate number of HTML table from number of web pages into a single integrated table.

Handling real-world data is crucial for addressing various problems and obstacles in the construction industry. Nonetheless, incorporating real-world data is not always achievable. The integration of BIM, GIS, and Web environments is a promising research field that offers numerous benefits in the construction industry for solving this problem. The integration of BIM models, 3D real-world representation, a connection of GIS databases, and geospatial analysis are among the advantages achieved with such integration. The integration process faces many obstacles, e.g., interoperability issues, standardisation, and methods for BIM model processing. Many different techniques and methods to solve the most pressing issues have been proposed in recent years. However, the existing research findings presented in the state-of-the-art are insufficient to cover all issues and gaps in the integration process. This PhD dissertation presents a comprehensive analysis of the revealed issues and gaps, proposes novel methods and techniques for solving the most significant ones, implements the results of the developments in a Web-based spatial decision-support system and solves several fundamental problems in the construction field.

With the grown availability of large and specialized online ontologies, the questions about the integration of independently developed ontologies have become even more important. To facilitate the ontology integration process, this paper presents an ontology integration support module, that promotes the creation of new ontologies by reusing others. The hypothesis is that the ontology designer achieves a reduction in the time dedicated to create a new ontology, as well as obtain ontologies with better quality. The experimental use of the prototype developed showed evidence that the hypothesis can be confirmed.

Towards a Machine of a Process (MOP) ontology to facilitate e-commerce of industrial machinery

The NATO Secure voice strategy identifies the Secure Communication Interoperability Protocol (SCIP) as the upcoming standard for secure voice communication within the NATO community. In support of the Secure Voice Strategy NC3A has been mandated to establish a NATO SCIP Validation Facility (NSVF) to enable conformance, interoperability and key management testing for NATO Nations. SCIP will enable multi vendor solutions for secure voice terminals, operating over heterogeneous networks, by using open standards. To tackle interoperability issues in secure voice communications for expeditionary operations, NC3A has developed a Secure Voice Platform using an open source voice switch. For enabling SCIP gateway functionality between circuit and packet switched networks a V. 150.1 protocol stack as been added to the Secure Voice Platform. Due to its open design and flexibility the Secure Voice Platform is a very valuable resource in the conformance and interoperability tests for the integration of SCIP devices in NATO and national networks. This article summarizes the NATO Secure Voice Strategy and the concept of the NATO SCIP Validation Facility. Focus is on the integration of the V.150.1 protocol stack in the Secure Voice Platform. Issues arisen during the integration process are addressed as well as those discovered and solved to address interoperability aspects. SCIP, NATO Secure Voice Strategy, NATO SCIP Validation Facility, NC3A, Secure Voice Platform, Modem over IP, MoIP, V.150.1

Software evolution projects need to be supported by integrated toolchains, yet can suffer from inadequate tool interoperability. Practitioners are forced to deal with technical integration issues, instead of focusing on their projects' actual objectives. Lacking integration support, the resulting toolchains are rigid and inflexible, impeding project progress. This paper presents SENSEI, a service-oriented support framework for toolchain-building, that clearly separates software evolution needs from implementing tools and interoperability issues. It aims to improve interoperability using component-based principles, and provides model-driven code generation to partly automate the integration process. The approach has been prototypically implemented, and was applied in the context of the Q-MIG project, to build parts of an integrated software migration and quality assessment toolchain.

Application development by integration of existing, atomic services reduces development cost and time by extensive reuse of service components. In Service Oriented Architecture, there exist alternative versions of services supplying the same functionality but differing in Quality of Service (QoS) attributes, which enables developers to select services with optimal QoS. Existing algorithms of service selection focus on the formal model of the composite service refraining from interoperability issues that may affect the integration process. In this paper, the author proposes a methodology that extends existing service selection algorithms by introducing additional constraints and processing rules representing interoperability. Two computational models are considered: the graph-based model and the combinatorial model. The extensions enable a straightforward application of a wide range of existing algorithms. The paper also describes a system that implements chosen service selection algorithms together with appropriate extensions for interoperability analysis.KeywordsService Oriented ArchitectureInteroperabilityService IntegrationBusiness Process ManagementQuality of Service

This technical note examines the Common Operations System (COS), a large aggregation of independently developed systems, and the risks posed to it by an infrastructure upgrade. Many large organizations involved in various critical government roles depend on the COS for planning their business operations. When such a large number of applications rely on a complex infrastructure, an attempt to upgrade raises many interoperability issues. The risks involved, and their observed mitigations, are examined in several areas: system interfaces, organizational responsibilities, requirements and functionality, developing an integration process, and testing.

The logistics sector is extremely important for supply chain management and global trade, and mobility solutions have significantly changed this environment. Advances in technology, particularly in mobile solutions, have made logistics companies more efficient, productive and transparent. Key innovations like blockchain, Internet of Things (IoT), and artificial intelligence (AI) offer the potential to improve sustainability, optimize processes, and optimize supply chains from start to finish. These technologies can reduce operational costs, improve communication and improve overall performance. Regulation inconsistencies, uncertainty associated with new technologies, and complex integration processes are significant obstacles. Additionally, lack of robust infrastructure, cybersecurity risks, interoperability issues, especially in rural areas, scalability and effectiveness. Cooperation between these issues requires cooperation between industry leaders, politicians and researchers. To support this advancement in technology, these efforts need to focus on regulatory harmony, define global standards, and invest in infrastructure. Economic incentives, increased municipal participation, and attention to ethical concerns are also important steps to foster widespread relocation. By implementing these innovations, logistics companies will improve operational efficiency, reduce costs, improve competitiveness, and lead to a more sustainable and effective logistics ecosystem.

Biomedical imaging relies heavily on the interoperability between PACS, RIS, and HIS for an efficient workflow and timely clinical decision-making that is critical not only for clinical practice but also patient care. Even though some hospitals have developed advanced digital infrastructures, many hospitals suffer from difficulties around interoperability, database performance, workflow bottlenecks, and user competency issues. This study investigated the technical, operational, and people -based factors impacting imaging integration performance at Dr. Sulaiman Al-Habib Hospital, Riyadh, Saudi Arabia. Using a quantitative descriptivecorrelational design, data was pulled from 40 selected personnel in imaging and IT using a validated 40 -item Likert-scale questionnaire. Results revealed high system integration, database management, and integration performance levels, and moderate to high workflow efficiency. Correlation and regression analyses revealed a strong and significant relationship between all parameters and 68% explains of variation in integration performance were due to technical and operational reasons. Database administration and workflow efficiencies are the most positive (moderate to strong) by user competency differences. A second key finding is that organized subsystem optimization is necessary to enhance the imaging integration process, as they stress. Structured Abstract. Background. PACS, RIS, and HIS should be integrated to provide an effective biomedical image. Continued interoperability, database effectiveness, workflow consistency and user acceptability concerns can create challenges to the efficient workflow and clinical efficacy of imaging. Methods. A descriptive, quantitative, correlational design was utilized in the analysis of system integration, database organization, workflow productivity, and imaging integration functionality. Data were gathered via a va lidated 40-item Likert-scale questionnaire among 40 IT and Dr. Sulaiman Al-Habib Hospital imaging practitioners. Analysis included descriptive statistics; Pearson correlations; regression and moderation testing. Results. System integration, database management, and workflow efficiency were also identified as highperforming and robustly linked with integration effectiveness and performance. Linear regression analysis found that 68% of this performance variance is accounted for by regression analysis. User competency, however, is shown to moderate performance with respect to the DBMS, and workflow efficiency effect. Conclusion. Imaging integration performance is manifested from the interaction of technical, operational and human subsystems. We believe improving its interoperability, database architecture, processes in workflow and competency of the user is important in improving imaging outcomes.

PurposeThis paper aims to delve into the complexities of terminology mapping and annotation, particularly within the context of the COVID-19 pandemic. It underscores the criticality of harmonizing clinical knowledge organization systems (KOS) through a cohesive clinical knowledge representation approach. Central to the study is the pursuit of a novel method for integrating emerging COVID-19-specific vocabularies with existing systems, focusing on simplicity, adaptability and minimal human intervention.Design/methodology/approachA design science research (DSR) methodology is used to guide the development of a terminology mapping and annotation workflow. The KNIME data analytics platform is used to implement and test the mapping and annotation techniques, leveraging its powerful data processing and analytics capabilities. The study incorporates specific ontologies relevant to COVID-19, evaluates mapping accuracy and tests performance against a gold standard.FindingsThe study demonstrates the potential of the developed solution to map and annotate specific KOS efficiently. This method effectively addresses the limitations of previous approaches by providing a user-friendly interface and streamlined process that minimizes the need for human intervention. Additionally, the paper proposes a reusable workflow tool that can streamline the mapping process. It offers insights into semantic interoperability issues in health care as well as recommendations for work in this space.Originality/valueThe originality of this study lies in its use of the KNIME data analytics platform to address the unique challenges posed by the COVID-19 pandemic in terminology mapping and annotation. The novel workflow developed in this study addresses known challenges by combining mapping and annotation processes specifically for COVID-19-related vocabularies. The use of DSR methodology and relevant ontologies with the KNIME tool further contribute to the study’s originality, setting it apart from previous research in the terminology mapping and annotation field.

Clinical information systems are indispensable for the effective functioning of organizations of the health sector, a quality information system is required for an organization to make health quality management. The continuing need for integration processes within organizations and the increasingly evident need for an integrated health system, shows that information from different health organizations should be sharing 0ara give dynamism to a system Colombian health. This article discusses approaches to the issue of interoperability from two topics namely informational organizational interoperability and interoperability. The first shows that the organizations of the health sector and tend to the implementation of process-based approach to manage protected in quality management systems and the second required technological options that allow interoperability of computer systems in each organization. In the first part of this document sets out a methodology to address organizational interoperability from a process approach, and the second hand there is a research exercise that takes a closer technological interoperability of XML from a year prior to study of computer interoperability standards.