Academic literature on the topic 'Semantic interoperability'

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Journal articles on the topic "Semantic interoperability"

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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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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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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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Dissertations / Theses on the topic "Semantic interoperability"

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Marques, Fernando Sérgio Bryton Dias. "Semantic interoperability assessment : iShare framework." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/663891.

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Interagency information sharing is widely acknowledged for increasing the efficiency and effectiveness of several domains with high societal impact such as security, cybersecurity and health. Therefore, it comes as no surprise that the development of interoperability among public services is a political priority in many countries around the world, and that, presently, several initiatives are ongoing with this purpose. The proper management of such initiatives demands adequate instruments to support the definition of the existing (as-is) and desired (to-be) situations, as well as the identification, prioritization, monitoring and control of the actions that are necessary to achieve the objectives defined for developing interoperability. Moreover, appropriate instruments are also required to support the justification and comparison of initiatives, for example in situations where they compete for funds. However, the existing practical solutions are scarce and do not fit well these requirements. Therefore, this research proposes a framework (iShare) for assessing the semantic interoperability - one of the facets of interoperability - of governmental agencies that use a common information model for exchanging information with each other. This assessment is made in two parts. The first part assesses how organizations are performing, in terms of semantic interoperability, and the second part assesses the relevance of that performance, considering a series of pre-defined factors. To develop the iShare framework we followed the Design Science Research Method. The framework itself is based on Process Performance Indicators, on the Delphi Method and on the Weighted Sums Model. Its validation was performed during the development of the Portuguese maritime surveillance information exchange system (NIPIMAR), which is based on the information model of the European Maritime Common Information Sharing Environment (CISE). The result of the validation was the assessment of the semantic interoperability of six public organizations participating in the project. In addition, some of the main ideas of the framework were immediately used within the project to assess the semantic interoperability of all organizations that were participating in it and to develop an action plan to improve their interoperability and information exchange. The iShare framework has thus proven to be an innovative, useful, relevant and more objective way of assessing semantic interoperability among various organizations, which tells us how much and how relevant that interoperability is. Hence, the iShare framework contributes to the body of knowledge in the field and opens new possibilities for assessing interoperability and information exchange, and thus to increase the efficiency and effectiveness of governmental agencies.
Es un hecho reconocido que el intercambio de información entre organismos y agencias mejora la eficiencia y efectividad en dominios con alto impacto en la sociedad, tales como seguridad, ciberseguridad y salud pública. Por tanto, no es una sorpresa que el desarrollo de la interoperabilidad entre organismos públicos sea una prioridad política en muchos países y que, en la actualidad, se esté trabajando en diversas iniciativas con esta finalidad. La correcta gestión de tales iniciativas requiere instrumentos adecuados, que puedan soportar la definición de la situación existente y la deseada, así como la identificación, priorización, monitorización y control de las acciones que son necesarias para conseguir los objetivos definidos para alcanzar la interoperabilidad. Asimismo, son necesarios instrumentos que permitan justificar y comparar diferentes iniciativas, por ejemplo, en situaciones en las que compitan por financiación. Sin embargo, actualmente las soluciones que ofrecen instrumentos reutilizables para estos propósitos son escasas, y aquellas que existen no cubren bien todos los requisitos. En este contexto, esta tesis doctoral propone un nuevo marco teórico llamado iShare para evaluar la interoperabilidad semántica, uno de los aspectos de la interoperabilidad, de organismos gubernamentales y/o agencias que utilicen un modelo de información común para el intercambio de datos entre ellos. Con iShare, esta evaluación se realiza en dos etapas. En la primera, se evalúa el rendimiento de las organizaciones en términos de interoperabilidad semántica, mientras que en la segunda etapa se evalúa la relevancia de ese rendimiento medido, considerando una serie de factores predeterminados. Para el desarrollo del marco teórico iShare, se utilizó la metodología de investigación Design Science, basada en los indicadores de rendimiento de proceso, en el método Delphi y el modelo Weighted Sums Model. Para su validación, se aplicó el mismo al desarrollo del sistema de vigilancia marítima NIPIMAR en Portugal, el cual está orientado al intercambio de datos y utiliza el modelo de información del programa europeo Maritime CISE (Common Information Sharing Environment for Maritime Surveillance, entorno común de intercambio de datos para vigilancia marítima). El proceso de validación permitió evaluar la interoperabilidad semántica de seis organismos públicos que participaban en el proyecto. Asimismo, algunas de las ideas del marco teórico fueron directamente incorporadas al proyecto para evaluar la interoperabilidad semántica de todos los organismos públicos portugueses y para desarrollar un plan de acción que mejore su interoperabilidad y el intercambio de información entre ellas. Los resultados de esta investigación demuestran que el marco teórico iShare ofrece una solución innovadora, útil, relevante y más objetiva para la evaluación de la interoperabilidad semántica entre varias organizaciones. Por todo ello, el marco teórico iShare contribuye al cuerpo de conocimiento en este campo científico y abre nuevas posibilidades para evaluar la interoperabilidad y así aumentar la eficiencia y la eficacia de las agencias gubernamentales.
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Kiljander, J. (Jussi). "Semantic interoperability framework for smart spaces." Doctoral thesis, Oulun yliopisto, 2016. http://urn.fi/urn:isbn:9789526210810.

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Abstract At the heart of the smart space vision is the idea that devices interoperate with each other autonomously to assist people in their everyday activities. In order to make this vision a reality, it is important to achieve semantic-level interoperability between devices. The goal of this dissertation is to enable Semantic Web technology-based interoperability in smart spaces. There are many challenges that need to be solved before this goal can be achieved. In this dissertation, the focus has been on the following four challenges: The first challenge is that the Semantic Web technologies have neither been designed for sharing real-time data nor large packets of data such as video and audio files. This makes it challenging to apply them in smart spaces, where it is typical that devices produce and consume this type of data. The second challenge is the verbose syntax and encoding formats of Semantic Web technologies that make it difficult to utilise them in resource-constrained devices and networks. The third challenge is the heterogeneity of smart space communication technologies that makes it difficult to achieve interoperability even at the connectivity level. The fourth challenge is to provide users with simple means to interact with and configure smart spaces where device interoperability is based on Semantic Web technologies. Even though autonomous operation of devices is a core idea in smart spaces, this is still important in order to achieve successful end-user adoption. The main result of this dissertation is a semantic interoperability framework, which consists of following individual contributions: 1) a semantic-level interoperability architecture for smart spaces, 2) a knowledge sharing protocol for resource-constrained devices and networks, and 3) an approach to configuring Semantic Web-based smart spaces. The architecture, protocol and smart space configuration approach are evaluated with several reference implementations of the framework components and proof-of-concept smart spaces that are also key contributions of this dissertation
Tiivistelmä Älytilavision ydinajatuksena on, että erilaiset laitteet tuottavat yhteistyössä ihmisten elämää helpottavia palveluita. Vision toteutumisen kannalta on tärkeää saavuttaa semanttisen tason yhteentoimivuus laitteiden välillä. Tämän väitöskirjan tavoitteena on mahdollistaa semanttisen webin teknologioihin pohjautuva yhteentoimivuus älytilan laitteiden välillä. Monenlaisia haasteita täytyy ratkaista, ennen kuin tämä tavoite voidaan saavuttaa. Tässä työssä keskityttiin seuraaviin neljään haasteeseen: Ensimmäinen haaste on, että semanttisen webin teknologioita ei ole suunniteltu reaaliaikaiseen kommunikaatioon, eivätkä ne sovellu isojen tiedostojen jakamiseen. Tämän vuoksi on haasteellista hyödyntää niitä älytiloissa, joissa laitteet tyypillisesti jakavat tällaista tietoa. Toinen haaste on, että semanttisen webin teknologiat perustuvat syntakseihin ja koodausformaatteihin, jotka tuottavat laitteiden kannalta tarpeettoman pitkiä viestejä. Tämä tekee niiden hyödyntämisestä hankalaa resurssirajoittuneissa laitteissa ja verkoissa. Kolmas haaste on, että älytiloissa hyödynnetään hyvin erilaisia kommunikaatioteknologioita, minkä vuoksi jopa tiedonsiirto laitteiden välillä on haasteellista. Neljäs haaste on tarjota loppukäyttäjälle helppoja menetelmiä sekä vuorovaikutukseen semanttiseen webiin pohjautuvien älytilojen kanssa että tällaisen älytilan muokkaamiseen käyttäjän tarpeiden mukaiseksi. Vaikka laitteiden itsenäinen toiminta onkin älytilojen perusajatuksia, tämä on kuitenkin tärkeää teknologian hyväksymisen ja käyttöönoton kannalta. Väitöskirjan päätulos on laitteiden semanttisen yhteentoimivuuden viitekehys, joka koostuu seuraavista itsenäisistä kontribuutioista: 1) semanttisen tason yhteentoimivuusarkkitehtuuri älytiloille, 2) tiedonjakoprotokolla resurssirajoittuneille laitteille ja verkoille sekä 3) menetelmä semanttiseen webiin pohjautuvien älytilojen konfigurointiin. Näiden kontribuutioiden evaluointi suoritettiin erilaisten järjestelmäkomponenttien referenssitoteutuksilla ja prototyyppiälytiloilla, jotka kuuluvat myös väitöskirjan keskeisiin kontribuutioihin
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Lister, Kendall. "Toward semantic interoperability for software systems." Connect to thesis, 2008. http://repository.unimelb.edu.au/10187/3594.

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“In an ill-structured domain you cannot, by definition, have a pre-compiled schema in your mind for every circumstance and context you may find ... you must be able to flexibly select and arrange knowledge sources to most efficaciously pursue the needs of a given situation.” [57]
In order to interact and collaborate effectively, agents, whether human or software, must be able to communicate through common understandings and compatible conceptualisations. Ontological differences that occur either from pre-existing assumptions or as side-effects of the process of specification are a fundamental obstacle that must be overcome before communication can occur. Similarly, the integration of information from heterogeneous sources is an unsolved problem. Efforts have been made to assist integration, through both methods and mechanisms, but automated integration remains an unachieved goal. Communication and information integration are problems of meaning and interaction, or semantic interoperability. This thesis contributes to the study of semantic interoperability by identifying, developing and evaluating three approaches to the integration of information. These approaches have in common that they are lightweight in nature, pragmatic in philosophy and general in application.
The first work presented is an effort to integrate a massive, formal ontology and knowledge-base with semi-structured, informal heterogeneous information sources via a heuristic-driven, adaptable information agent. The goal of the work was to demonstrate a process by which task-specific knowledge can be identified and incorporated into the massive knowledge-base in such a way that it can be generally re-used. The practical outcome of this effort was a framework that illustrates a feasible approach to providing the massive knowledge-base with an ontologically-sound mechanism for automatically generating task-specific information agents to dynamically retrieve information from semi-structured information sources without requiring machine-readable meta-data.
The second work presented is based on reviving a previously published and neglected algorithm for inferring semantic correspondences between fields of tables from heterogeneous information sources. An adapted form of the algorithm is presented and evaluated on relatively simple and consistent data collected from web services in order to verify the original results, and then on poorly-structured and messy data collected from web sites in order to explore the limits of the algorithm. The results are presented via standard measures and are accompanied by detailed discussions on the nature of the data encountered and an analysis of the strengths and weaknesses of the algorithm and the ways in which it complements other approaches that have been proposed.
Acknowledging the cost and difficulty of integrating semantically incompatible software systems and information sources, the third work presented is a proposal and a working prototype for a web site to facilitate the resolving of semantic incompatibilities between software systems prior to deployment, based on the commonly-accepted software engineering principle that the cost of correcting faults increases exponentially as projects progress from phase to phase, with post-deployment corrections being significantly more costly than those performed earlier in a project’s life. The barriers to collaboration in software development are identified and steps taken to overcome them. The system presented draws on the recent collaborative successes of social and collaborative on-line projects such as SourceForge, Del.icio.us, digg and Wikipedia and a variety of techniques for ontology reconciliation to provide an environment in which data definitions can be shared, browsed and compared, with recommendations automatically presented to encourage developers to adopt data definitions compatible with previously developed systems.
In addition to the experimental works presented, this thesis contributes reflections on the origins of semantic incompatibility with a particular focus on interaction between software systems, and between software systems and their users, as well as detailed analysis of the existing body of research into methods and techniques for overcoming these problems.
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Hafsia, Raouf. "Semantic interoperability in ad hoc wireless networks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA390328.

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Rendo, Fernandez Jose Ignacio. "Semantic interoperability in ad-hoc computing environments." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/3072.

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This thesis introduces a novel approach in which multiple heterogeneous devices collaborate to provide useful applications in an ad-hoc network. This thesis proposes a smart home as a particular ubiquitous computing scenario considering all the requirements given by the literature for succeed in this kind of systems. To that end, we envision a horizontally integrated smart home built up from independent components that provide services. These components are described with enough syntactic, semantic and pragmatic knowledge to accomplish spontaneous collaboration. The objective of these collaboration is domestic use, that is, the provision of valuable services for home residents capable of supporting users in their daily activities. Moreover, for the system to be attractive for potential customers, it should offer high levels of trust and reliability, all of them not at an excessive price. To achieve this goal, this thesis proposes to study the synergies available when an ontological description of home device functionality is paired with a formal method. We propose an ad-hoc home network in which components are home devices modelled as processes represented as semantic services by means of the Web Service Ontology (OWL-S). In addition, such services are specified, verified and implemented by means of the Communicating Sequential Processes (CSP), a process algebra for describing concurrent systems. The utilisation of an ontology brings the desired levels of knowledge for a system to compose services in a ad-hoc environment. Services are composed by a goal based system in order to satisfy user needs. Such system is capable of understaning, both service representations and user context information. Furthermore, the inclusion of a formal method contributes with additional semantics to check that such compositions will be correctly implemented and executed, achieving the levels of reliability and costs reduction (costs derived form the design, development and implementation of the system) needed for a smart home to succeed.
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Wang, Ying. "Developing Ontology Mapping approaches for Semantic Interoperability." Thesis, Queen's University Belfast, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.527911.

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Li, Li, and llI@it swin edu au. "Agent-based ontology management towards interoperability." Swinburne University of Technology, 2005. http://adt.lib.swin.edu.au./public/adt-VSWT20060504.153959.

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Ontologies are widely used as data representations for knowledge bases and marking up data on the emerging Semantic Web. Hence, techniques for managing ontol- ogy come to the centre of any practical and general solution of knowledge-based systems. Challenges arise when we look a step further in order to achieve flexibility and scalability of the ontology management. Previous works in ontology management, primarily for ontology mapping, ontology integration and ontology evolution, have exploited only one form or another of ontology management in restrictive settings. However, a distributed and heterogeneous environment makes it necessary for re- searchers in this field to consider ontology interoperability in order to achieve the vision of the Semantic Web. Several challenges arise when we set our goal to achieve ontology interoperability on the Web. The first one is to decide which soft- ware engineering paradigm to employ. The issue of such a paradigm is the core of ontology management when dynamic property is involved. It should make it easy to model complex systems and significantly improve current practice in software engineering. Moreover, it allows the extension of the range of applications that can feasibly be tackled. The second challenge is to exploit frameworks based on the pro- posed paradigm. Such a framework should make possible flexibility, interactivity, reusability and reliability for systems which are built on it. The third challenge is to investigate suitable mechanisms to cope with ontology mapping, integration and evolution based on the framework. It is known that predefined rules or hypotheses may not apply given that the environment hosting an ontology is changing over time. Fortunately, agents are being advocated as a next generation model for en- gineering complex and distributed systems. Also some researchers in this field have given a qualitative analysis to provide a justification for precisely why the agent-based approach is well suited to engineer complex software systems. From a multi-agent perspective, agent technology fits well in developing applications in uncontrolled and distributed environments which require substantial support for change. Agents in multi-agent systems (MAS) are autonomous and can engage in interactions which are essential for any ongoing agents� actions. A MAS approach is thus regarded as an intuitive and suitable way of modelling dynamic systems. Following the above discussion, an agent-based framework for managing ontology in a dynamic environment is developed. The framework has several key characteris- tics such as flexibility and extensibility that differentiate this research from others. Three important issues of the ontology management are also investigated. It is be- lieved that inter-ontology processes like ontology mapping with logical semantics are foundations of ontology-based applications. Hence, firstly, ontology mapping is discussed. Several types of semantic relations are proposed. Following these, the mapping mechanisms are developed. Secondly, based on the previous mapping results, ontology integration is developed to provide abstract views for participating organisations in the presence of a variety of ontologies. Thirdly, as an ontology is subject to evolution in its life cycle, there must be some kind of mechanisms to reflect their changes in corresponding interrelated ontologies. Ontology refinement is investigated to take ontology evolution into consideration. Process algebra is employed to catch and model information exchanges between ontologies. Agent negotiation strategy is applied to guide corresponding ontologies to react properly. A prototype is built to demonstrate the above design and functionalities. It is applied to ontologies dealing with the subject of beer (type). This prototype con- sists of four major types of agents, ranging from user agent, interface agent, ontology agent, and functionary agent. Evaluations such as query, consistency checking are conducted on the prototype. This shows that the framework is not only flexible but also completely workable. All agents derived from the framework exhibit their behaviours appropriately as expected.
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Lin, Yun. "Semantic Annotation for Process Models : Facilitating Process Knowledge Management via Semantic Interoperability." Doctoral thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2119.

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Business process models representing process knowledge about doing business are necessary for designing Information Systems (IS) solutions in enterprises. Interoperability of business process knowledge in legacy systems is crucial for enterprise systems interoperation and integration due to increased enterprise cooperation and business exchange. Many modern technologies and approaches are deployed to support business process interoperability either at the instance level or the protocol level, such as BPML, WSDL and SOAP. However, we argue that a holistic approach is necessary for semantic interoperability of business process models at the conceptual level when considering the process models as reusable process knowledge for other (new or integrated) IS solutions. This brings requirements to manage semantic heterogeneity of process knowledge in process models which are distributed across different enterprise systems. Semantic annotation is an approach to achieve semantic interoperability of heterogeneous resources. However, such an approach has usually been applied to enhance the semantics of unstructured and structured artifacts (e.g. textual resources [72] [49], and Web services [166] [201]).

The aim of the research is to introduce an ontology-based semantic annotation approach to enrich and reconcile semantics of process models — a kind of semi-structured artifact, for managing process knowledge. The approach brings together techniques in process modeling, ontology building, semantic matching, and Description Logic inference in order to provide a comprehensive semantic annotation framework. Furthermore, a prototype system that supports the process of ontology-based semantic annotation of heterogeneous process models is described. The applicational goal of our approach is to facilitate process knowledge management activities (e.g. discovery, reuse, and integration of process knowledge/models) by enhanced semantic interoperability.

A survey has been performed through identifying semantic heterogeneity in process modeling and investigating semantic technology from theoretical and practical views. Based on the results from the survey, a comprehensive semantic annotation framework has been developed, which provides a method to manage semantic heterogeneity of process models from the following perspectives. First, basic descriptions of process models (profile annotation); second, process modeling languages (meta-model annotation); third, contents of process models (model annotation) and finally intentions of process model owners (goal annotation). Applying the semantic annotation framework, an ontology-based annotation method has been elaborated, which results in two categories of research activity — ontology building and semantic mapping. In ontology building, we use Web Ontology Language (OWL), a Semantic Web technology, which can be used to model ontologies. GPO (General Process Ontology) comprising core concepts in most process modeling languages is proposed; domain concepts are classified in the corresponding categories of GPO as a domain ontology; design principles for building a goal ontology are introduced in order to serve the annotation of process models pragmatically. In semantic mapping, a set of mapping strategies are developed to conduct the annotation by considering the semantic relationships between model artifacts and ontology references and as well the semantic inference mechanism supported by OWL DL (Description Logic). The annotation method is finally formalized into a process semantic annotation model - PSAM.

The proposed approach has been implemented in a prototype annotation tool —ProSEAT to facilitate the annotation process. Procedures of applying the semantic annotation approach with the tool are described through exemplar study. The annotation approach and the prototype tool are evaluated using a quality framework. Furthermore, the applicability of the annotation results is validated by going through a process knowledge management application. The Semantic Web Rule Language (SWRL) is applied in the application demonstration. We argue that the ontology-based annotation approach combined with the Semantic Web technology is a feasible approach to reconcile semantic heterogeneity in the process knowledge management. Limitations and future work are discussed after concluding this research work.

The contributions of this thesis are summarized as follows. First, a general process ontology is proposed for unifying process representations at a high level of abstraction. Second, a semantic annotation framework is introduced to describe process knowledge systematically. Third, ontology-based annotation methods are elaborated and formalized. Fourth, an annotation system, utilizing the developed formal methods, is designed and implemented. Fifth, a process knowledge management system is outlined as the platform for manipulating the annotation results. Moreover, applying results of the approach is demonstrated through a process model integration example.

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AYDAR, MEHMET. "Developing a Semantic Framework for Healthcare Information Interoperability." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1447721121.

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Tewolde, Noh Teamrat. "Evaluating a Semantic Approach to Address Data Interoperability." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/46272.

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Semantic approaches have been used to facilitate interoperability in different fields of study. Current literature, however, shows that the semantic approach has not been used to facilitate the interoperability of addresses across domains. Addresses are important reference data used to identify locations and /or delivery points. Interoperability of address data across address or application domains is important because it facilitates the sharing of address data, addressing software and tools which can be used across domains. The aim of this research study has been to evaluate how a semantic (ontologies) approach could be used to facilitate address data interoperability and what the challenges and benefits of the semantic approach are. To realize the hypothesis and answer the research problems, a multi-tier hierarchy of ontology architecture was designed to integrate (across domain) address data with different levels of granularities. Four-tier hierarchy of ontologies was argued to be the optimal architecture for address data interoperability. At the top of the hierarchy was Foundation-Tier that includes vocabularies for location-related information and semantic language rules and concepts. The second tier has address reference ontology (called Base Address Ontology) that was developed to facilitate interoperability across the address domains. Developing optimal address reference ontology was one of the major goals of the research. Different domain ontologies were developed at the third tier of the hierarchy. Domain ontologies extend the vocabulary of the BAO (address reference ontology) with domain specific concepts. At the bottom of the hierarchy are application ontologies that are designed for specific purpose within an address domain or domains. Multiple scenarios of address data usage were considered to answer the research questions from different perspectives. Two interoperable address systems were developed to demonstrate the proof of concepts for the semantic approach. These interoperable environments were created using the UKdata+UPUdata ontology and UKpostal ontology, which illustrate different use cases of ontologies that facilitate interoperability. Ontology reason, inference, and SPARQL query tools were used to share, exchange, and process address data across address domains. Ontology inferences were done to exchange address data attributes between the UK administrative address data and UK postal service address data systems in the UKdata+UPUdata ontology. SPARQL queries were, furthermore, run to extract and process information from different perspective of an address domain and from combined perspectives of two (UK administrative and UK postal) address domains. The second interoperable system (UKpostal ontology) illustrated the use of ontology inference tools to share address data between two address data systems that provide different perspectives of a domain.
Dissertation (MSc)--University of Pretoria, 2014.
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Books on the topic "Semantic interoperability"

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Fernandez-Llatas, Carlos, and Salvatore F. Pileggi. Semantic Interoperability Issues, Solutions, Challenges. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339465.

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Semantic interoperability of distributed geo-services. Enschede, The Nethrlands: ITC, 2006.

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Ianni, Giovambattista, Domenico Lembo, Leopoldo Bertossi, Wolfgang Faber, Birte Glimm, Georg Gottlob, and Steffen Staab, eds. Reasoning Web. Semantic Interoperability on the Web. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61033-7.

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Sheth, A. Semantic services, interoperability, and web applications: Emerging concepts. Hershey, PA: Information Science Reference, 2011.

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Ma, Yongsheng, ed. Semantic Modeling and Interoperability in Product and Process Engineering. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5073-2.

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1970-, Kalfoglou Yannis, ed. Cases on semantic interoperability for information systems integration: Practices and applications. Hershey PA: Information Science Reference, 2010.

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1970-, Kalfoglou Yannis, ed. Cases on semantic interoperability for information systems integration: Practices and applications. Hershey PA: Information Science Reference, 2010.

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Emergent semantics: Interoperability in large-scale decentralized information systems. Lausanne, Switzerland: EPFL Press, 2008.

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Ma, Yongsheng. Semantic Modeling and Interoperability in Product and Process Engineering: A Technology for Engineering Informatics. London: Springer London, 2013.

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Concepts in context: Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization, July 19th-20th, 2010. Würzburg: Ergon, 2011.

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Book chapters on the topic "Semantic interoperability"

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Ganzha, Maria, Marcin Paprzycki, Wiesław Pawłowski, Bartłomiej Solarz-Niesłuchowski, Paweł Szmeja, and Katarzyna Wasielewska. "Semantic Interoperability." In Internet of Things, 133–65. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82446-4_5.

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Shekhar, Shashi, and Hui Xiong. "Geospatial Semantic Interoperability." In Encyclopedia of GIS, 388. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_512.

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Casati, F., S. Ceri, B. Pernici, and G. Pozzi. "Semantic workflow interoperability." In Advances in Database Technology — EDBT '96, 443–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0014170.

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Goble, Carole, Sean Bechhofer, and Katy Wolstencroft. "Semantic Web, Interoperability." In Encyclopedia of Systems Biology, 1921–25. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1111.

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Diop, Codé, Ernesto Exposito, Khalil Drira, and Christophe Chassot. "Semantic-Driven Autonomic Service Bus." In Enterprise Interoperability, 259–65. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118561942.ch37.

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DeBellis, Michael, Livia Pinera, and Christopher Connor. "Interoperability Frameworks." In Data Science with Semantic Technologies, 267–86. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003310785-13.

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Beneventano, Domenico, Nikolai Dahlem, Sabina El Haoum, Axel Hahn, Daniele Montanari, and Matthias Reinelt. "Ontology-driven Semantic Mapping." In Enterprise Interoperability III, 329–41. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-221-0_26.

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Bolloju, Narasimha. "Semantic Query Transformation." In Database Reengineering and Interoperability, 117–24. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-1803-7_10.

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Coletti, Alex, Antonio De Nicola, Antonio Di Pietro, Maurizio Pollino, Vittorio Rosato, Giordano Vicoli, and Maria Luisa Villani. "Towards Semantic Generation of Geolocalized Models of Risk." In Enterprise Interoperability, 415–20. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119564034.ch51.

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Bianchini, Devis, Silvana Castano, Fulvio D’Antonio, Valeria De Antonellis, Mounira Harzallah, Jèrome David, Michele Missikoff, and Stefano Montanelli. "Digital Resource Discovery: Semantic Annotation and Matching Techniques." In Enterprise Interoperability, 275–85. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-714-5_26.

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Conference papers on the topic "Semantic interoperability"

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"Perspectives in Semantic Interoperability." In International Workshop on Semantic Interoperability. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003346700130022.

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Daireaux, Benoit, Hans-Uwe Brackel, Robert Ewald, Petter Markussen, Maria Johansen, Mahdi Parak, Ghanshyam Yadav, and Anar Ismayilov. "Towards the Correct Interpretation of Real-Time Signals on the Well-Site." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212509-ms.

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Abstract Objectives/Scope Drilling operations rely on the collaboration of many participants, and the efficiency of this collaboration depends on timely exchange of information. The complexity and variability of this information make it difficult to achieve interoperability between the involved systems. Recent industry efforts aim at facilitating the many aspects of interoperability. A central element is semantic interoperability: the ability to correctly interpret the real-time signals available on the rig. This contribution presents an implementation of semantic interoperability using OPC UA technology. It translates the principles developed through joint industry efforts into actual drilling operations. Methods, Procedures, Process The process used the steps of characterizing the drilling real-time data with semantic graphs, and then developing methods to transfer this characterization to an operational real-time environment. A semantic interoperability API (application programming interface) uses the semantic modelling capabilities of OPC UA. Its objectives are to facilitate the acquisition and identification of real-time signals (for data consumers) and their precise description (by data providers). The different components of the API reflect the diversity of scenarios one can expect to encounter on a rig: from WITS-like data streams with minimal semantics to fully characterized signals. The high-level interface makes use of semantical techniques, such as reasoning, to enable advanced features like validation or graph queries. Results, Observations, Conclusions The implementation phase resulted in a series of open-source solutions that cover all the stages of semantic interoperability. The server part integrates real-time sources and exposes their semantics. Data providers can use dedicated applications to accurately describe their own data, while data consumers have access to both predefined mechanisms and to more advanced programming interfaces to identify and interpret the available signals. To facilitate the adoption of this technology, test applications are available that allow interested users to experiment and validate their own interfaces against realistic drilling data. Finally, demonstrations involving several participants took place. The paper discusses both the testing procedures, the results and insights gained. Novel/Additive Information The solutions described in this contribution build on newly developed interoperability strategies: they make on-going industry efforts available to the community via modern technologies, such as OPC UA, semantic modelling, or reasoning. Our hope is that the adoption of the developed technology should greatly facilitate the deployment of next generation drilling automation systems.
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"ENABLING SEMANTIC RESOURCES IN THE CLOUD." In Special Session on Semantic Interoperability. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003885405410546.

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"A Semantic Environment for Data Processing in Embedded Sensor Networks." In International Workshop on Semantic Interoperability. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003350100230030.

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"Framework Managing the Automated Construction and Runtime Adaptation of Service Mashups." In International Workshop on Semantic Interoperability. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003350300310043.

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"An Ontology-driven Proposal for Semantic Interaction among Heterogeneous Health Information Systems." In International Workshop on Semantic Interoperability. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003350500440053.

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"Document Clustering using Multi-objective Genetic Algorithm with Different Feature Selection Methods." In International Workshop on Semantic Interoperability. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003351401010110.

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"Document Clustering based on Genetic Algorithm using D-Individual." In International Workshop on Semantic Interoperability. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003351601110118.

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"Framework for Smart Space Application Development." In International Workshop on Semantic Interoperability. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003332500030012.

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"Modeling Storage System Performance for Data Management in Cloud Environment using Ontology." In International Workshop on Semantic Interoperability. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003352100540063.

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Reports on the topic "Semantic interoperability"

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Yao, Ke-Thia, Robert Neches, In-Young Ko, and Robert MacGregor. Semantic Interoperability Measure: Template-Based Assurance of Semantic Interoperability in Software Composition (TBASSCO). Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada427423.

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Heflin, Jeff, and James Hendler. Semantic Interoperability on the Web. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada440535.

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Lichtblau, Dale E., and Richard D. Bleach. US and Coalition Forces Data (Semantic) Interoperability Study. Fort Belvoir, VA: Defense Technical Information Center, May 2010. http://dx.doi.org/10.21236/ada522325.

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Kagal, Lalana. Web-Based Policy Interoperability via a Semantic Policy Interlingua. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada577268.

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Robinson, Eric. SKOS and the Semantic Web: Knowledge Organization, Metadata, and Interoperability. SOAR@USA: Scholarship and Open Access Repository, 2011. http://dx.doi.org/10.46409/sr.ojzh9684.

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Jimenez, J., H. Tschofenig, and D. Thaler. Report from the Internet of Things (IoT) Semantic Interoperability (IOTSI) Workshop 2016. RFC Editor, October 2018. http://dx.doi.org/10.17487/rfc8477.

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Barlos, Fotis, Dan Hunter, Basil Krikeles, and James McDonough. Mediation, Alignment, and Information Services for Semantic interoperability (MAISSI): A Trade Study. Fort Belvoir, VA: Defense Technical Information Center, June 2007. http://dx.doi.org/10.21236/ada470119.

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Shapovalov, Yevhenii B., Viktor B. Shapovalov, Roman A. Tarasenko, Stanislav A. Usenko, and Adrian Paschke. A semantic structuring of educational research using ontologies. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4433.

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This article is devoted to the presentation of the semantic interoperability of research and scientific results through an ontological taxonomy. To achieve this, the principles of systematization and structuration of the scientific/research results in scientometrics databases have been analysed. We use the existing cognitive IT platform Polyhedron and extend it with an ontology-based information model as main contribution. As a proof-of-concept we have modelled two ontological graphs, “Development of a rational way for utilization of methane tank waste at LLC Vasylkivska poultry farm” and “Development a method for utilization of methane tank effluent”. Also, for a demonstration of the perspective of ontological systems for a systematization of research and scientific results, the “Hypothesis test system” ontological graph has created.
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Bishr, Yaser, Timothy Eveleigh, Timothy Finin, and James Hendler. United States Air Force (USAF) Semantic Interoperability Capabilities Based Assessment and Technology Roadmap. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada464824.

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González-Montaña, Luis Antonio. Semantic-based methods for morphological descriptions: An applied example for Neotropical species of genus Lepidocyrtus Bourlet, 1839 (Collembola: Entomobryidae). Verlag der Österreichischen Akademie der Wissenschaften, November 2021. http://dx.doi.org/10.1553/biosystecol.1.e71620.

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The production of semantic annotations has gained renewed attention due to the development of anatomical ontologies and the documentation of morphological data. Two methods are proposed in this production, differing in their methodological and philosophical approaches: class-based method and instance-based method. The first, the semantic annotations are established as class expressions, while in the second, the annotations incorporate individuals. An empirical evaluation of the above methods was applied in the morphological description of Neotropical species of the genus Lepidocyrtus (Collembola: Entomobryidae: Lepidocyrtinae). The semantic annotations are expressed as RDF triple, which is a language most flexible than the Entity-Quality syntax used commonly in the description of phenotypes. The morphological descriptions were built in Protégé 5.4.0 and stored in an RDF store created with Fuseki Jena. The semantic annotations based on RDF triple increase the interoperability and integration of data from diverse sources, e.g., museum data. However, computational challenges are present, which are related with the development of semi-automatic methods for the generation of RDF triple, interchanging between texts and RDF triple, and the access by non-expert users.
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