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Journal articles on the topic 'Semantic interoperability'

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Published: 4 June 2021

Last updated: 8 June 2024

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1

Engel, K., P. Pharowe, and B. G. M. E. Blobel. "Semantic Interoperability." Methods of Information in Medicine 45, no. 04 (2006): 343–53. http://dx.doi.org/10.1055/s-0038-1634087.

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Summary Objectives: To meet the challenge for high quality and efficient care, highly specialized and distributed healthcare establishments have to communicate and co-operate in a semantically interoperable way. Information and communication technology must be open, flexible, scalable, knowledge-based and service-oriented as well as secure and safe. Methods: For enabling semantic interoperability, a unified process for defining and implementing the architecture, i.e. structure and functions of the cooperating systems’ components, as well as the approach for knowledge representation, i.e. the used information and its interpretation, algorithms, etc. have to be defined in a harmonized way. Deploying the Generic Component Model, systems and their components, underlying concepts and applied constraints must be formally modeled, strictly separating platform-independent from platform-specific models. Results: As HL7 Version 3 claims to represent the most successful standard for semantic interoperability, HL7 has been analyzed regarding the requirements for model-driven, service-oriented design of semantic interoperable information systems, thereby moving from a communication to an architecture paradigm. The approach is compared with advanced architectural approaches for information systems such as OMG’s CORBA 3 or EHR systems such as GEHR/openEHR and CEN EN 13606 Electronic Health Record Communication. Conclusion: HL7 Version 3 is maturing towards an architectural approach for semantic interoperability. Despite current differences, there is a close collaboration between the teams involved guaranteeing a convergence between competing approaches.

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Heiler, Sandra. "Semantic interoperability." ACM Computing Surveys 27, no. 2 (June 1995): 271–73. http://dx.doi.org/10.1145/210376.210392.

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3

Matney, Susan A. "Semantic interoperability." Nursing 46, no. 10 (October 2016): 23–24. http://dx.doi.org/10.1097/01.nurse.0000490225.92179.69.

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4

Min, Lingtong, Koray Atalag, Qi Tian, Yani Chen, and Xudong Lu. "Verifying the Feasibility of Implementing Semantic Interoperability in Different Countries Based on the OpenEHR Approach: Comparative Study of Acute Coronary Syndrome Registries." JMIR Medical Informatics 9, no. 10 (October 19, 2021): e31288. http://dx.doi.org/10.2196/31288.

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Background The semantic interoperability of health care information has been a critical challenge in medical informatics and has influenced the integration, sharing, analysis, and use of medical big data. International standard organizations have developed standards, approaches, and models to improve and implement semantic interoperability. The openEHR approach—one of the standout semantic interoperability approaches—has been implemented worldwide to improve semantic interoperability based on reused archetypes. Objective This study aimed to verify the feasibility of implementing semantic interoperability in different countries by comparing the openEHR-based information models of 2 acute coronary syndrome (ACS) registries from China and New Zealand. Methods A semantic archetype comparison method was proposed to determine the semantics reuse degree of reused archetypes in 2 ACS-related clinical registries from 2 countries. This method involved (1) determining the scope of reused archetypes; (2) identifying corresponding data items within corresponding archetypes; (3) comparing the semantics of corresponding data items; and (4) calculating the number of mappings in corresponding data items and analyzing results. Results Among the related archetypes in the two ACS-related, openEHR-based clinical registries from China and New Zealand, there were 8 pairs of reusable archetypes, which included 89 pairs of corresponding data items and 120 noncorresponding data items. Of the 89 corresponding data item pairs, 87 pairs (98%) were mappable and therefore supported semantic interoperability, and 71 pairs (80%) were labeled as “direct mapping” data items. Of the 120 noncorresponding data items, 114 (95%) data items were generated via archetype evolution, and 6 (5%) data items were generated via archetype localization. Conclusions The results of the semantic comparison between the two ACS-related clinical registries prove the feasibility of establishing the semantic interoperability of health care data from different countries based on the openEHR approach. Archetype reuse provides data on the degree to which semantic interoperability exists when using the openEHR approach. Although the openEHR community has effectively promoted archetype reuse and semantic interoperability by providing archetype modeling methods, tools, model repositories, and archetype design patterns, the uncontrolled evolution of archetypes and inconsistent localization have resulted in major challenges for achieving higher levels of semantic interoperability.

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JIANG, GUOFEI, GEORGE CYBENKO, and JAMES A. HENDLER. "SEMANTIC INTEROPERABILITY AND INFORMATION FLUIDITY." International Journal of Cooperative Information Systems 15, no. 01 (March 2006): 1–21. http://dx.doi.org/10.1142/s0218843006001268.

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Ontologies are developed to describe data semantics on the Semantic Web. Given the distributed nature and scale of the Semantic Web, a large number of ontologies with different terminologies and structures will be created to describe the same concepts and domains. Without semantic mapping, information fluidity within the Web could be blocked at the boundaries of these ontologies. Therefore, ontology mapping is needed to translate datasets represented by disparate ontologies. We believe that over time communities will incrementally build an ontology mapping between select ontologies based on their own communication interests. How will these interest-driven mapping activities eventually change semantic interoperability and information fluidity across the Web? This paper proposes metrics to quantify information fluidity and builds an analytical model with "small-world" graph theory to analyze the growth of the Semantic Web. Further with this model, we analyze how information fluidity can evolve by "market-driven" semantic mapping activities occurring across the Web. Our results can be useful in evaluating mapping efforts needed for large-scale heterogeneous information systems. One conclusion, based on this model, is that the development of decentralized ontology mappings can lead to significant information fluidity within the Semantic Web.

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Da Silva, Catarina Ferreira, Lionel Médini, Samer Abdul Ghafour, Patrick Hoffmann, Parisa Ghodous, and Celson Lima. "Semantic Interoperability of Heterogeneous Semantic Resources." Electronic Notes in Theoretical Computer Science 150, no. 2 (March 2006): 71–85. http://dx.doi.org/10.1016/j.entcs.2005.11.035.

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Wang, SongSong, and Ouguan Xu. "Interoperability Structure of Smart Water Conservancy Based on Internet of Things." International Journal of Distributed Sensor Networks 2024 (May 16, 2024): 1–13. http://dx.doi.org/10.1155/2024/7724783.

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Massive smart water conservancy object (WCO) need to be connected for real-time monitoring and control, which produces massive data. Unfortunately, heterogeneous data structures and semantics lead to low interoperability between WCO and management systems. To address this challenge, we propose a novel interoperability structure for a smart water conservancy system based on the Internet of Things (IoT), and the key design includes a smart WCO terminal, interoperability network, special interoperability protocol, WCO information model, and cloud platform. Universal terminal and network are the base of interoperability hardware, and special interoperability protocol and information model for interconnection of WCO are designed for smart water conservancy management system. WCO can be connected to a water conservancy Big Data processing cloud platform for interoperability applications. The application results demonstrate that our proposed WCO’s interoperability structure has obvious advantages than the general IoT at WCO interoperability. The interoperability protocol is reliable, the information model can ease interoperability and security, and the semantic dictionary is very rich and covers all semantic services of WCO.

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Chung, EunKyung, and William E. Moen. "The semantics of semantic interoperability: A two-dimensional approach for investigating issues of semantic interoperability in digital libraries." Proceedings of the American Society for Information Science and Technology 44, no. 1 (October 24, 2008): 1–8. http://dx.doi.org/10.1002/meet.1450440335.

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Amaro, Gonçalo, Filipe Moutinho, Rogério Campos-Rebelo, Julius Köpke, and Pedro Maló. "JSON Schemas with Semantic Annotations Supporting Data Translation." Applied Sciences 11, no. 24 (December 16, 2021): 11978. http://dx.doi.org/10.3390/app112411978.

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As service-oriented architectures are a solution for large distributed systems, interoperability between these systems, which are often heterogeneous, can be a challenge due to the different syntax and semantics of the exchanged messages or even different data interchange formats. This paper addresses the data interchange format and data interoperability issues between XML-based and JSON-based systems. It proposes novel annotation mechanisms to add semantic annotations and complement date values to JSON Schemas, enabling an interoperability approach for JSON-based systems that, until now, was only possible for XML-based systems. A set of algorithms supporting the translation from JSON Schema to XML Schema, JSON to XML, and XML to JSON is also proposed. These algorithms were implemented in an existing prototype tool, which now supports these systems’ interoperability through semantic compatibility verification and the automatic generation of translators.

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Palojoki, Sari, Lasse Lehtonen, and Riikka Vuokko. "Semantic Interoperability of Electronic Health Records: Systematic Review of Alternative Approaches for Enhancing Patient Information Availability." JMIR Medical Informatics 12 (April 25, 2024): e53535-e53535. http://dx.doi.org/10.2196/53535.

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Abstract Background Semantic interoperability facilitates the exchange of and access to health data that are being documented in electronic health records (EHRs) with various semantic features. The main goals of semantic interoperability development entail patient data availability and use in diverse EHRs without a loss of meaning. Internationally, current initiatives aim to enhance semantic development of EHR data and, consequently, the availability of patient data. Interoperability between health information systems is among the core goals of the European Health Data Space regulation proposal and the World Health Organization’s Global Strategy on Digital Health 2020-2025. Objective To achieve integrated health data ecosystems, stakeholders need to overcome challenges of implementing semantic interoperability elements. To research the available scientific evidence on semantic interoperability development, we defined the following research questions: What are the key elements of and approaches for building semantic interoperability integrated in EHRs? What kinds of goals are driving the development? and What kinds of clinical benefits are perceived following this development? Methods Our research questions focused on key aspects and approaches for semantic interoperability and on possible clinical and semantic benefits of these choices in the context of EHRs. Therefore, we performed a systematic literature review in PubMed by defining our study framework based on previous research. Results Our analysis consisted of 14 studies where data models, ontologies, terminologies, classifications, and standards were applied for building interoperability. All articles reported clinical benefits of the selected approach to enhancing semantic interoperability. We identified 3 main categories: increasing the availability of data for clinicians (n=6, 43%), increasing the quality of care (n=4, 29%), and enhancing clinical data use and reuse for varied purposes (n=4, 29%). Regarding semantic development goals, data harmonization and developing semantic interoperability between different EHRs was the largest category (n=8, 57%). Enhancing health data quality through standardization (n=5, 36%) and developing EHR-integrated tools based on interoperable data (n=1, 7%) were the other identified categories. The results were closely coupled with the need to build usable and computable data out of heterogeneous medical information that is accessible through various EHRs and databases (eg, registers). Conclusions When heading toward semantic harmonization of clinical data, more experiences and analyses are needed to assess how applicable the chosen solutions are for semantic interoperability of health care data. Instead of promoting a single approach, semantic interoperability should be assessed through several levels of semantic requirements A dual model or multimodel approach is possibly usable to address different semantic interoperability issues during development. The objectives of semantic interoperability are to be achieved in diffuse and disconnected clinical care environments. Therefore, approaches for enhancing clinical data availability should be well prepared, thought out, and justified to meet economically sustainable and long-term outcomes.

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CHIANESE, ANGELO, ANNA RITA FASOLINO, VINCENZO MOSCATO, PORFIRIO TRAMONTANA, and MARIO CAROPRESO. "A NOVEL APPROACH FOR SEMANTIC INTEROPERABILITY IN THE WEB BASED ON THE SEMANTIC TRIANGLE COMMUNICATION MODEL." International Journal of Software Engineering and Knowledge Engineering 21, no. 07 (November 2011): 1037–73. http://dx.doi.org/10.1142/s0218194011005591.

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In this paper we propose a novel communication approach and a possible implementation of it that, exploiting the Semantic Web technologies, allows semantic interoperability among software agents in the Web, preserving not only the semantics but also the subjectivity of the agent's world vision in the communication. Such an approach takes advantage of a particular communication model called Semantic Triangle in which communication agents share the referents (real world objects) and not the concepts (mental image or impression of a real object from the sender agents point of view), thus ensuring an effective semantic interoperability in the information exchange process. The proposed approach has been submitted to an experiment that involved an instantiation of the communication process based on semantic machines and showed the approach feasibility for the semantic information exchange and its effectiveness.

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Zeng, Marcia Lei. "Interoperability." KNOWLEDGE ORGANIZATION 46, no. 2 (2019): 122–46. http://dx.doi.org/10.5771/0943-7444-2019-2-122.

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Interoperability refers to the ability of two or more systems or components to exchange information and to use the information that has been exchanged. This article presents the major viewpoints of interoperability, with the focus on semantic interoperability. It discusses the approaches to achieving interoperability as demonstrated in standards and best practices, projects, and products in the broad domain of knowledge organization.

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Rubí, Jesús Noel Sárez, and Paulo Roberto de Lira Gondim. "Interoperable Internet of Medical Things platform for e-Health applications." International Journal of Distributed Sensor Networks 16, no. 1 (January 2020): 155014771988959. http://dx.doi.org/10.1177/1550147719889591.

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The development of information and telecommunication technologies has given rise to new platforms for e-Health. However, some difficulties have been detected since each manufacturer implements its communication protocols and defines their data formats. A semantic incongruence is observed between platforms since no common healthcare domain vocabulary is shared between manufacturers and stakeholders. Despite the existence of standards for semantic and platform interoperability (e.g. openEHR for healthcare, Semantic Sensor Network for Internet of Medical Things platforms, and machine-to-machine standards), no approach has combined them for granting interoperability or considered the whole integration of legacy Electronic Health Record Systems currently used worldwide. Moreover, the heterogeneity in the large volume of health data generated by Internet of Medical Things platforms must be attenuated for the proper application of big data processing techniques. This article proposes the joint use of openEHR and Semantic Sensor Network semantics for the achievement of interoperability at the semantic level and use of a machine-to-machine architecture for the definition of an interoperable Internet of Medical Things platform.

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Bestek, Mate, Erik Grönvall, and Joanna Saad-Sulonen. "Commoning Semantic Interoperability in Healthcare." International Journal of the Commons 16, no. 1 (2022): 225–42. http://dx.doi.org/10.5334/ijc.1157.

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Ahmed, Amal. "Semantic Soundness for Language Interoperability." Electronic Proceedings in Theoretical Computer Science 339 (August 23, 2021): 1. http://dx.doi.org/10.4204/eptcs.339.1.

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Sikder, Iftikhar U., and Santosh K. Misra. "Semantic Interoperability of Geospatial Services." International Journal of Intelligent Information Technologies 4, no. 1 (January 2008): 31–51. http://dx.doi.org/10.4018/jiit.2008010102.

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Hitzler, Pascal, and Krzysztof Janowicz. "Semantic Web – Interoperability, Usability, Applicability." Semantic Web 1, no. 1,2 (2010): 1–2. http://dx.doi.org/10.3233/sw-2010-0017.

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Puustjärvi, Juha. "Semantic interoperability in electronic auctions." International Journal of Web Information Systems 4, no. 3 (August 29, 2008): 372–85. http://dx.doi.org/10.1108/17440080810901124.

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Guijarro, Luis. "Semantic interoperability in eGovernment initiatives." Computer Standards & Interfaces 31, no. 1 (January 2009): 174–80. http://dx.doi.org/10.1016/j.csi.2007.11.011.

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Gal, Avigdor. "Semantic interoperability in information services." ACM SIGMOD Record 28, no. 1 (March 1999): 68–75. http://dx.doi.org/10.1145/309844.310061.

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Novo, Oscar, and Mario Di Francesco. "Semantic Interoperability in the IoT." ACM Transactions on Internet of Things 1, no. 1 (March 2, 2020): 1–25. http://dx.doi.org/10.1145/3375838.

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Jung, Jason J., Costin Badica, Ngoc Thanh Nguyen, and Roman Slowinski. "Semantic interoperability for automated enterprises." Enterprise Information Systems 9, no. 3 (January 19, 2015): 300–302. http://dx.doi.org/10.1080/17517575.2014.985614.

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Brennan, Rob, Brian Walshe, and Declan O’Sullivan. "Managed Semantic Interoperability for Federations." Journal of Network and Systems Management 22, no. 3 (October 15, 2013): 302–30. http://dx.doi.org/10.1007/s10922-013-9291-3.

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Villa, Ferdinando, Stefano Balbi, Ioannis N. Athanasiadis, and Caterina Caracciolo. "Semantics for interoperability of distributed data and models: Foundations for better-connected information." F1000Research 6 (May 17, 2017): 686. http://dx.doi.org/10.12688/f1000research.11638.1.

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Correct and reliable linkage of independently produced information is a requirement to enable sophisticated applications and processing workflows. These can ultimately help address the challenges posed by complex systems (such as socio-ecological systems), whose many components can only be described through independently developed data and model products. We discuss the first outcomes of an investigation in the conceptual and methodological aspects of semantic annotation of data and models, aimed to enable a high standard of interoperability of information. The results, operationalized in the context of a long-term, active, large-scale project on ecosystem services assessment, include: A definition of interoperability based on semantics and scale;A conceptual foundation for the phenomenology underlying scientific observations, aimed to guide the practice of semantic annotation in domain communities;A dedicated language and software infrastructure that operationalizes the findings and allows practitioners to reap the benefits of data and model interoperability. The work presented is the first detailed description of almost a decade of work with communities active in socio-ecological system modeling. After defining the boundaries of possible interoperability based on the understanding of scale, we discuss examples of the practical use of the findings to obtain consistent, interoperable and machine-ready semantic specifications that can integrate semantics across diverse domains and disciplines.

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Knaup, P., E. J. S. Hovenga, S. Heard, and S. Garde. "Towards Semantic Interoperability for Electronic Health Records." Methods of Information in Medicine 46, no. 03 (2007): 332–43. http://dx.doi.org/10.1160/me5001.

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Summary Objectives: In the field of open electronic health records (EHRs), openEHR as an archetype-based approach is being increasingly recognised. It is the objective of this paper to shortly describe this approach, and to analyse how openEHR archetypes impact on health professionals and semantic interoperability. Methods: Analysis of current approaches to EHR systems, terminology and standards developments. In addition to literature reviews, we organised face-to-face and additional telephone interviews and tele-conferences with members of relevant organisations and committees. Results: The openEHR archetypes approach enables syntactic interoperability and semantic interpretability – both important prerequisites for semantic interoperability. Archetypes enable the formal definition of clinical content by clinicians. To enable comprehensive semantic interoperability, the development and maintenance of archetypes needs to be coordinated internationally and across health professions. Domain knowledge governance comprises a set of processes that enable the creation, development, organisation, sharing, dissemination, use and continuous maintenance of archetypes. It needs to be supported by information technology. Conclusions: To enable EHRs, semantic interoperability is essential. The openEHR archetypes approach enables syntactic interoperability and semantic interpretability. However, without coordinated archetype development and maintenance, ‘rank growth’ of archetypes would jeopardize semantic interoperability. We therefore believe that openEHR archetypes and domain knowledge governance together create the knowledge environment required to adopt EHRs.

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Benkhaled, Sihem, and Mounir Hemam. "A Semantic Gateway for Internet of Things Interoperability at the Application Layer." Applied Computer Systems 27, no. 2 (December 1, 2022): 198–206. http://dx.doi.org/10.2478/acss-2022-0021.

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Abstract Due to the rapid growth of the Internet of Things (IoT), researchers have demonstrated various IoT solutions, which are used to interconnect a wide range of IoT devices through the Internet. However, IoT stumbled into vertical silos; the available solutions provide specific IoT infrastructure, devices, protocols, data formats and models. This diversity and heterogeneity lead to interoperability issues. Heterogeneity happens at all IoT layers, especially at the application layer; devices often adopt mutually incompatible application-layer communication protocols to connect devices to IoT services. Furthermore, in order to integrate semantics to raw data, each system uses its one domain-specific ontology to make data more understandable and interpretable by adding semantic annotations. Working in isolation reduces the interoperability among IoT devices and systems, things across domains need to internetwork and collaborate to provide high level IoT services. Therefore, to alleviate the problem of both communication protocol interoperability and semantic interoperability across vertical silos of systems at the application layer, this paper proposes a semantic gateway (SGIoT) that acts as a bridge between heterogeneous sink nodes at the physical level and IoT services. SGIoT enables interconnectivity between communication protocols such as CoAP and MQTT regardless of their communication model, meanwhile it enables semantics integration throu gh cross-domain ontology (CDOnto) for semantic annotation, in order to provide interpretation of messages among IoT applications across domains. Our approach focuses on modularity and extensibility.

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Loice Tsinale, Harriet, Samuel Mbugua, and Anthony Luvanda. "ARCHITECTURAL HEALTH DATA STANDARDS AND SEMANTIC INTEROPERABILITY: A COMPREHENSIVE REVIEW IN THE CONTEXT OF INTEGRATING MEDICAL DATA INTO BIG DATA ANALYTICS." International Journal of Engineering Applied Sciences and Technology 8, no. 4 (August 1, 2023): 17–30. http://dx.doi.org/10.33564/ijeast.2023.v08i04.002.

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The integration of medical data into Big Data analytics holds significant potential for advancing healthcare practices and research. However, achieving semantics interoperability, wherein data is exchanged and interpreted accurately among diverse systems, is a critical challenge. This study explores the impact of existing architectures on semantics interoperability in the context of integrating medical data into Big Data analytics. The study highlights the complexities involved in integrating medical data from various sources, each using different formats, data models, and vocabularies. Without a strong emphasis on semantic interoperability, data integration efforts can result in misinterpretations, inconsistencies, and errors, adversely affecting patient care and research outcomes. The significance of data standards and ontologies in establishing a common vocabulary and structure for medical data integration is underscored. Additionally, the importance of data mapping and transformation is discussed, as data discrepancies can lead to data loss and incorrect analysis results. The success of integrating medical data into Big Data analytics is heavily reliant on existing architectures that prioritize semantics interoperability. A welldesigned architecture addresses data heterogeneity, promotes semantic consistency, and supports data standardization, unlocking the transformative capabilities of medical data analysis for improved healthcare outcomes.

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Al-Baltah, Ibrahim Ahmed, and Abdul Azim Abdul Ghani. "Towards Ontology Driven Semantic Conflicts Detection in Web services at Message Level." International Journal of Web Portals 5, no. 3 (July 2013): 71–80. http://dx.doi.org/10.4018/ijwp.2013070105.

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One of the biggest problems for establishing semantic interoperability is semantic conflicts, which prevent seamless message exchange between heterogeneous Web services. Consequently, numerous work has been done to establish semantic interoperability by solving semantic conflicts. However, the current work has not reached its maturity level to solve this problem effectively. Therefore, this paper proposes a new ontology driven approach to detect semantic conflicts between heterogeneous Web services at message level. This new approach will advance the process of establishing semantic interoperability in order to allow heterogeneous Web services to exchange their messages seamlessly. The main purpose of our approach is to detect the potential conflicts that occur during message exchange process.

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Nadim, Ismail, Yassine El Ghayam, and Abdelalim Sadiq. "Semantic Annotation of Web of Things Using Entity Linking." International Journal of Business Analytics 7, no. 4 (October 2020): 1–13. http://dx.doi.org/10.4018/ijban.2020100101.

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The web of things (WoT) improves syntactic interoperability between internet of things (IoT) devices by leveraging web standards. However, the lack of a unified WoT data model remains a challenge for the semantic interoperability. Fortunately, semantic web technologies are taking this challenge over by offering numerous semantic vocabularies like the semantic sensor networks (SSN) ontology. Although it enables the semantic interoperability between heterogeneous devices, the manual annotation hinders the scalability of the WoT. As a result, the automation of the semantic annotation of WoT devices becomes a prior issue for researchers. This paper proposes a method to improve the semi-automatic semantic annotation of web of things (WoT) using the entity linking task and the well-known ontologies, mainly the SSN.

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Nagasundaram, Devamekalai, Selvakumar Manickam, Shams Ul Arfeen Laghari, and Shankar Karuppayah. "Proposed fog computing-enabled conceptual model for semantic interoperability in internet of things." Bulletin of Electrical Engineering and Informatics 13, no. 2 (April 1, 2024): 1183–96. http://dx.doi.org/10.11591/eei.v13i2.5748.

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Semantic interoperability has emerged as a key barrier amidst the major developments and challenges brought about by the rapid expansion of internet of things (IoT) applications. Establishing interoperability is essential for IoT systems to function optimally, especially across diverse organizations. Despite extensive research in achieving semantic interoperability, dynamic interoperability, a vital facet, remains inadequately addressed. This paper addresses this gap by presenting a fog-based conceptual model designed to facilitate dynamic semantic interoperability in IoT. The model incorporates a single-tier fog layer, providing the necessary processing capabilities to achieve this goal. The study conducts a comprehensive literature review on semantic interoperability, emphasizing latency, bandwidth, total cost, and energy consumption. Results demonstrate the proposed double skin façade (DSF) model’s remarkable 88% improvement in service delay over IoT-SIM and Open IoT, attributed to its efficient load-offloading mechanism and optimized fog layer, offering a 50% reduction in service delay, power consumption, and 86% reduction in network usage compared to existing approaches through data redundancy elimination via pre-processing at the fog layer.

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Bhardwaj, Sachin, Tanir Ozcelebi, Johan J. Lukkien, and Keon Myung Lee. "Semantic Interoperability Architecture for Smart Spaces." INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS 18, no. 1 (March 31, 2018): 50–57. http://dx.doi.org/10.5391/ijfis.2018.18.1.50.

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Ojo, Adegboyega, Elsa Estevez, and Tomasz Janowski. "Semantic interoperability architecture for Governance 2.0." Information Polity 15, no. 1,2 (August 4, 2010): 105–23. http://dx.doi.org/10.3233/ip-2010-0199.

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Alaya, Mahdi Ben, Samir Medjiah, Thierry Monteil, and Khalil Drira. "Toward semantic interoperability in oneM2M architecture." IEEE Communications Magazine 53, no. 12 (December 2015): 35–41. http://dx.doi.org/10.1109/mcom.2015.7355582.

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Poggi, Agostino, and Michele Tomaiuolo. "Multilanguage Semantic Interoperability in Distributed Applications." Journal of Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/182525.

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JOSI is a software framework that tries to simplify the development of such kinds of applications both by providing the possibility of working on models for representing such semantic information and by offering some implementations of such models that can be easily used by software developers without any knowledge about semantic models and languages. This software library allows the representation of domain models through Java interfaces and annotations and then to use such a representation for automatically generating an implementation of domain models in different programming languages (currently Java and C++). Moreover, JOSI supports the interoperability with other applications both by automatically mapping the domain model representations into ontologies and by providing an automatic translation of each object obtained from the domain model representations in an OWL string representation.

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Ray, Steven R. "Interoperability Standards in the Semantic Web." Journal of Computing and Information Science in Engineering 2, no. 1 (March 1, 2002): 65–69. http://dx.doi.org/10.1115/1.1480024.

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The growth in the use of the Internet brings with it an increase in the number of interconnections among information systems supporting the manufacturing supply chain as well as other businesses. Each of these interconnections must be carefully prescribed to ensure interoperability. However, the sheer number of interconnections and the resulting complexity threaten to overwhelm the ability of the standards community or industry to provide the necessary specifications—a way out of this impasse must be found. This paper outlines the elements of an approach and the technology to move toward self-integrating systems, wherein the systems negotiate meaningful interfaces as needed in a dynamic environment.

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Ouksel, A. M., and A. Sheth. "Semantic interoperability in global information systems." ACM SIGMOD Record 28, no. 1 (March 1999): 5–12. http://dx.doi.org/10.1145/309844.309849.

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Fowler, Jerry, Brad Perry, Marian Nodine, and Bruce Bargmeyer. "Agent-based semantic interoperability in infosleuth." ACM SIGMOD Record 28, no. 1 (March 1999): 60–67. http://dx.doi.org/10.1145/309844.310060.

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Wang, Yandong, Jianya Gong, and Xiaohuang Wu. "Geospatial semantic interoperability based on ontology." Geo-spatial Information Science 10, no. 3 (January 2007): 204–7. http://dx.doi.org/10.1007/s11806-007-0071-7.

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Oh, Seog-Chan, and Shang-Tae Yee. "Manufacturing interoperability using a semantic mediation." International Journal of Advanced Manufacturing Technology 39, no. 1-2 (September 9, 2007): 199–210. http://dx.doi.org/10.1007/s00170-007-1198-2.

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Leiva-Mederos, Amed, Jose A. Senso, Yusniel Hidalgo-Delgado, and Pedro Hipola. "Working framework of semantic interoperability for CRIS with heterogeneous data sources." Journal of Documentation 73, no. 3 (May 8, 2017): 481–99. http://dx.doi.org/10.1108/jd-07-2016-0091.

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Purpose Information from Current Research Information Systems (CRIS) is stored in different formats, in platforms that are not compatible, or even in independent networks. It would be helpful to have a well-defined methodology to allow for management data processing from a single site, so as to take advantage of the capacity to link disperse data found in different systems, platforms, sources and/or formats. Based on functionalities and materials of the VLIR project, the purpose of this paper is to present a model that provides for interoperability by means of semantic alignment techniques and metadata crosswalks, and facilitates the fusion of information stored in diverse sources. Design/methodology/approach After reviewing the state of the art regarding the diverse mechanisms for achieving semantic interoperability, the paper analyzes the following: the specific coverage of the data sets (type of data, thematic coverage and geographic coverage); the technical specifications needed to retrieve and analyze a distribution of the data set (format, protocol, etc.); the conditions of re-utilization (copyright and licenses); and the “dimensions” included in the data set as well as the semantics of these dimensions (the syntax and the taxonomies of reference). The semantic interoperability framework here presented implements semantic alignment and metadata crosswalk to convert information from three different systems (ABCD, Moodle and DSpace) to integrate all the databases in a single RDF file. Findings The paper also includes an evaluation based on the comparison – by means of calculations of recall and precision – of the proposed model and identical consultations made on Open Archives Initiative and SQL, in order to estimate its efficiency. The results have been satisfactory enough, due to the fact that the semantic interoperability facilitates the exact retrieval of information. Originality/value The proposed model enhances management of the syntactic and semantic interoperability of the CRIS system designed. In a real setting of use it achieves very positive results.

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GARCÍA-CASTRO, RAÚL, and ASUNCIÓN GÓMEZ-PÉREZ. "RDF(S) INTEROPERABILITY RESULTS FOR SEMANTIC WEB TECHNOLOGIES." International Journal of Software Engineering and Knowledge Engineering 19, no. 08 (December 2009): 1083–108. http://dx.doi.org/10.1142/s0218194009004556.

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Interoperability among different development tools is not a straightforward task since ontology editors rely on specific internal knowledge models which are translated into common formats such as RDF(S). This paper addresses the urgent need for interoperability by providing an exhaustive set of benchmark suites for evaluating RDF(S) import, export and interoperability. It also demonstrates, in an extensive field study, the state-of-the-art of interoperability among six Semantic Web tools. From this field study we have compiled a comprehensive set of practices that may serve as recommendations for Semantic Web tool developers and ontology engineers.

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El Abid Amrani, N., O. El Kheir Abra, M. Youssfi, and O. Bouattane. "A Novel Deep Learning Approach for Semantic Interoperability Between Heteregeneous Multi-Agent Systems." Engineering, Technology & Applied Science Research 9, no. 4 (August 10, 2019): 4566–73. http://dx.doi.org/10.48084/etasr.2841.

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This article focuses on the issue of semantic interoperability in heterogeneous distributed multi-agent systems. Existing middleware technologies offer programming models that strongly combine agents’ learning models and communication models, which can lead to performance weaknesses when the number of agents is very important. Moreover, existing methods in the field of semantic interoperability solve the problem of understanding messages exchanged between distributed agents with heterogeneous ontologies, using several techniques to combine these ontologies. The first category of these methods relies on the fusion principle, others use alignment, and finally, there are those founded on Semantic Web technique. All these methods are limited to abstract concepts and do not deal with concrete concepts such as those represented by images. We propose in this paper a new approach that addresses the problem of semantic interoperability between heterogeneous distributed agents based on two principles: At first, the communication aspect of the agent from the learning aspect is separated. Then, we propose extending semantic interoperability to concrete concepts by combining two techniques: Semantic Web technology, which allows terms representing abstract concepts to be interpreted and deep learning technology, which is introduced as a new method to ensure semantic interoperability in the case of concrete concepts such as images. A detailed description of the proposed approach is provided, showing that it is very useful in solving the disadvantages of existing multi-agent platforms.

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Liao, Yong Xin, Mario Lezoche, Eduardo Rocha Loures, Hervé Panetto, and Nacer Boudjlida. "A Semantic Annotation Framework to Assist the Knowledge Interoperability along a Product Life Cycle." Advanced Materials Research 945-949 (June 2014): 424–29. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.424.

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The interoperability among a variety of systems, in or across manufacturing enterprises, has been widely accepted as one of the important factors that affects the efficiency of production. The aim of this study is to deal with the semantic interoperability issues in a product lifecycle management environment. Through the investigation of related works, the need for the formalization of semantic annotation was discovered. This paper addresses this drawback and introduces a framework that uses formalized semantic annotations to assist the knowledge interoperability along a product life cycle.

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Andročec, Darko, Matija Novak, and Dijana Oreški. "Using Semantic Web for Internet of Things Interoperability." International Journal on Semantic Web and Information Systems 14, no. 4 (October 2018): 147–71. http://dx.doi.org/10.4018/ijswis.2018100108.

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The main vision of the Internet of Things (IoT) is to enable seamless connection between physical devices and information systems to improve the lives of people. One of the main obstacles to achieve this vision is the current lack of IoT interoperability. In this article, the authors are giving an overview on how semantics is used in IoT interoperability related research. To do this, they performed a systematic literature review and extracted data from 105 selected primary studies dealing with semantics in IoT interoperability. The authors have analysed the maturity level of this research field and when and where the relevant works were published. This article answers five main research questions about the following issues: what are semantics used for; what types of ontologies exist (which are used to give semantical descriptions); what are the main themes and suggestions for future work in these research articles; and what are other related areas.

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da Rocha, Helbert, João Pereira, Reza Abrishambaf, and Antonio Espirito Santo. "An Interoperable Digital Twin with the IEEE 1451 Standards." Sensors 22, no. 19 (October 7, 2022): 7590. http://dx.doi.org/10.3390/s22197590.

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The shop floor or factory floor is the area inside a factory where manufacturing production is executed. The digitalisation of this area has been increasing in the last few years, introducing the Digital Twin (DT) and the Industry 4.0 concepts. A DT is the digital representation of a real object or an entire system. A DT includes a high diversity of components from different vendors that need to interact with each other efficiently. In most cases, the development of standards and protocols does not consider the need to operate with other standards and protocols, causing interoperability issues. Transducers (sensors and actuators) use the communication layer to exchange information with digital contra parts, and for this reason, the communication layer is one of the most relevant aspects of development. This paper covers DT development, going from the physical to the visualisation layer. The reference architecture models, standards, and protocols focus on interoperability to reach a syntactic level of communication between the IEEE 1451 and the IEC 61499 standards. A semantic communication layer connects transducer devices to the digital representation, achieving a semantic level of interoperability. This communication layer adds semantics to the communication process, allowing the development of an interoperable DT based on the IEEE 1451 standards. The DT presented reaches the syntactic and semantic levels of interoperability, allowing the monitoring and visualisation of a prototype system.

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Amar, Fouzia, Alain April, and Alain Abran. "Electronic Health Record and Semantic Issues Using Fast Healthcare Interoperability Resources: Systematic Mapping Review." Journal of Medical Internet Research 26 (January 30, 2024): e45209. http://dx.doi.org/10.2196/45209.

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Background The increasing use of electronic health records and the Internet of Things has led to interoperability issues at different levels (structural and semantic). Standards are important not only for successfully exchanging data but also for appropriately interpreting them (semantic interoperability). Thus, to facilitate the semantic interoperability of data exchanged in health care, considerable resources have been deployed to improve the quality of shared clinical data by structuring and mapping them to the Fast Healthcare Interoperability Resources (FHIR) standard. Objective The aims of this study are 2-fold: to inventory the studies on FHIR semantic interoperability resources and terminologies and to identify and classify the approaches and contributions proposed in these studies. Methods A systematic mapping review (SMR) was conducted using 10 electronic databases as sources of information for inventory and review studies published during 2012 to 2022 on the development and improvement of semantic interoperability using the FHIR standard. Results A total of 70 FHIR studies were selected and analyzed to identify FHIR resource types and terminologies from a semantic perspective. The proposed semantic approaches were classified into 6 categories, namely mapping (31/126, 24.6%), terminology services (18/126, 14.3%), resource description framework or web ontology language–based proposals (24/126, 19%), annotation proposals (18/126, 14.3%), machine learning (ML) and natural language processing (NLP) proposals (20/126, 15.9%), and ontology-based proposals (15/126, 11.9%). From 2012 to 2022, there has been continued research in 6 categories of approaches as well as in new and emerging annotations and ML and NLP proposals. This SMR also classifies the contributions of the selected studies into 5 categories: framework or architecture proposals, model proposals, technique proposals, comparison services, and tool proposals. The most frequent type of contribution is the proposal of a framework or architecture to enable semantic interoperability. Conclusions This SMR provides a classification of the different solutions proposed to address semantic interoperability using FHIR at different levels: collecting, extracting and annotating data, modeling electronic health record data from legacy systems, and applying transformation and mapping to FHIR models and terminologies. The use of ML and NLP for unstructured data is promising and has been applied to specific use case scenarios. In addition, terminology services are needed to accelerate their use and adoption; furthermore, techniques and tools to automate annotation and ontology comparison should help reduce human interaction.

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Schulz, S., and C. Martínez-Costa. "Ontology Content Patterns as Bridge for the Semantic Representation of Clinical Information." Applied Clinical Informatics 05, no. 03 (2014): 660–69. http://dx.doi.org/10.4338/aci-2014-04-ra-0031.

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SummaryObjective: Semantic interoperability of the Electronic Health Record (EHR) requires a rigorous and precise modelling of clinical information. Our objective is to facilitate the representation of clinical facts based on formal principles.Methods: We here explore the potential of ontology content patterns, which are grounded on a formal and semantically rich ontology model and can be specialised and composed.Results: We describe and apply two content patterns for the representation of data on tobacco use, rendered according to two heterogeneous models, represented in openEHR and in HL7 CDA. Finally, we provide some query exemplars that demonstrate a data interoperability use case.Conclusion: The use of ontology content patterns facilitate the semantic representation of clinical information and therefore improve their semantic interoperability. There are open issues such as the scalability and performance of the approach if a logic-based language is used. Implementation decisions might determine the final degree of semantic interoperability, influenced by the state of the art of the semantic technologies.Citation: Martínez-Costa C, Schulz S. Ontology content patterns as bridge for the semantic rRepresentation of clinical information Appl Clin Inf 2014; 5: 660–669http://dx.doi.org/10.4338/ACI-2014-04-RA-0031

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Rejeb, Abderahman, John G. Keogh, Wayne Martindale, Damion Dooley, Edward Smart, Steven Simske, Samuel Fosso Wamba, et al. "Charting Past, Present, and Future Research in the Semantic Web and Interoperability." Future Internet 14, no. 6 (May 25, 2022): 161. http://dx.doi.org/10.3390/fi14060161.

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Huge advances in peer-to-peer systems and attempts to develop the semantic web have revealed a critical issue in information systems across multiple domains: the absence of semantic interoperability. Today, businesses operating in a digital environment require increased supply-chain automation, interoperability, and data governance. While research on the semantic web and interoperability has recently received much attention, a dearth of studies investigates the relationship between these two concepts in depth. To address this knowledge gap, the objective of this study is to conduct a review and bibliometric analysis of 3511 Scopus-registered papers on the semantic web and interoperability published over the past two decades. In addition, the publications were analyzed using a variety of bibliometric indicators, such as publication year, journal, authors, countries, and institutions. Keyword co-occurrence and co-citation networks were utilized to identify the primary research hotspots and group the relevant literature. The findings of the review and bibliometric analysis indicate the dominance of conference papers as a means of disseminating knowledge and the substantial contribution of developed nations to the semantic web field. In addition, the keyword co-occurrence network analysis reveals a significant emphasis on semantic web languages, sensors and computing, graphs and models, and linking and integration techniques. Based on the co-citation clustering, the Internet of Things, semantic web services, ontology mapping, building information modeling, bioinformatics, education and e-learning, and semantic web languages were identified as the primary themes contributing to the flow of knowledge and the growth of the semantic web and interoperability field. Overall, this review substantially contributes to the literature and increases scholars’ and practitioners’ awareness of the current knowledge composition and future research directions of the semantic web field.

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Koutsomitropoulos, Dimitrios A., Georgia D. Solomou, Andreas D. Alexopoulos, and Theodore S. Papatheodorou. "Semantic Metadata Interoperability and Inference-Based Querying in Digital Repositories." Journal of Information Technology Research 2, no. 4 (October 2009): 36–52. http://dx.doi.org/10.4018/jitr.2009062903.

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Metadata applications have evolved in time into highly structured “islands of information” about digital resources, often bearing a strong semantic interpretation. Scarcely, however, are these semantics being communicated in machine readable and understandable ways. At the same time, the process for transforming the implied metadata knowledge into explicit Semantic Web descriptions can be problematic and is not always evident. In this article we take upon the well-established Dublin Core metadata standard as well as other metadata schemata, which often appear in digital repositories set-ups, and suggest a proper Semantic Web OWL ontology. In this process the authors cope with discrepancies and incompatibilities, indicative of such attempts, in novel ways. Moreover, we show the potential and necessity of this approach by demonstrating inferences on the resulting ontology, instantiated with actual metadata records. The authors conclude by presenting a working prototype that provides for inference-based querying on top of digital repositories.

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Mehling, Carl Willy, Ken Wenzel, Arvid Hellmich, and Steffen Ihlenfeldt. "Linked Data für die selbstoptimierende Produktion/Intelligent production systems through semantic interoperability of all assets – Linked Data for self-optimizing manufacturing." wt Werkstattstechnik online 111, no. 04 (2021): 251–55. http://dx.doi.org/10.37544/1436-4980-2021-04-73.

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Interoperabilität ist der Kern von Industrie 4.0. Mit Standards wie der Verwaltungsschale und OPC UA lassen sich bereits Komponenten semantisch beschreiben und einheitlich steuern. Für selbstoptimierende Produktionssysteme muss zusätzliches Wissen aus weiteren Datenquellen maschinenlesbar abgebildet und flexibel durch intelligente, autonome Systeme abgefragt werden. Die Linked Factory liefert dafür eine passende Technologie und schafft semantische Interoperabilität auf dem Shopfloor.   Interoperability is a core idea of Industry 4.0. For this purpose, components can already be semantically described and uniformly controlled via standards such as the Asset Administration Shell and OPC UA. To enable self-optimizing production systems, more knowledge from further data sources must be attached in a machine-readable form, and queried flexibly by intelligent, autonomous systems. The Linked Factory provides a suitable technology for this and establishes semantic interoperability on the shopfloor.

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