Academic literature on the topic 'Semantic interoperability'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Semantic interoperability.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Semantic interoperability"
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.
Full textHeiler, Sandra. "Semantic interoperability." ACM Computing Surveys 27, no. 2 (June 1995): 271–73. http://dx.doi.org/10.1145/210376.210392.
Full textMatney, Susan A. "Semantic interoperability." Nursing 46, no. 10 (October 2016): 23–24. http://dx.doi.org/10.1097/01.nurse.0000490225.92179.69.
Full textMin, 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.
Full textJIANG, 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.
Full textDa 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.
Full textWang, 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.
Full textChung, 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.
Full textAmaro, 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.
Full textPalojoki, 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.
Full textDissertations / Theses on the topic "Semantic interoperability"
Marques, Fernando Sérgio Bryton Dias. "Semantic interoperability assessment : iShare framework." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/663891.
Full textEs 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.
Kiljander, J. (Jussi). "Semantic interoperability framework for smart spaces." Doctoral thesis, Oulun yliopisto, 2016. http://urn.fi/urn:isbn:9789526210810.
Full textTiivistelmä 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
Lister, Kendall. "Toward semantic interoperability for software systems." Connect to thesis, 2008. http://repository.unimelb.edu.au/10187/3594.
Full textIn 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.
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.
Full textRendo, Fernandez Jose Ignacio. "Semantic interoperability in ad-hoc computing environments." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/3072.
Full textWang, 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.
Full textLi, 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.
Full textLin, 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.
Full textBusiness 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.
AYDAR, MEHMET. "Developing a Semantic Framework for Healthcare Information Interoperability." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1447721121.
Full textTewolde, Noh Teamrat. "Evaluating a Semantic Approach to Address Data Interoperability." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/46272.
Full textDissertation (MSc)--University of Pretoria, 2014.
tm2015
Computer Science
MSc
Unrestricted
Books on the topic "Semantic interoperability"
Fernandez-Llatas, Carlos, and Salvatore F. Pileggi. Semantic Interoperability Issues, Solutions, Challenges. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339465.
Full textSemantic interoperability of distributed geo-services. Enschede, The Nethrlands: ITC, 2006.
Find full textIanni, 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.
Full textSheth, A. Semantic services, interoperability, and web applications: Emerging concepts. Hershey, PA: Information Science Reference, 2011.
Find full textMa, 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.
Full text1970-, Kalfoglou Yannis, ed. Cases on semantic interoperability for information systems integration: Practices and applications. Hershey PA: Information Science Reference, 2010.
Find full text1970-, Kalfoglou Yannis, ed. Cases on semantic interoperability for information systems integration: Practices and applications. Hershey PA: Information Science Reference, 2010.
Find full textEmergent semantics: Interoperability in large-scale decentralized information systems. Lausanne, Switzerland: EPFL Press, 2008.
Find full textMa, Yongsheng. Semantic Modeling and Interoperability in Product and Process Engineering: A Technology for Engineering Informatics. London: Springer London, 2013.
Find full textConcepts in context: Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization, July 19th-20th, 2010. Würzburg: Ergon, 2011.
Find full textBook chapters on the topic "Semantic interoperability"
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.
Full textShekhar, 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.
Full textCasati, 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.
Full textGoble, 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.
Full textDiop, 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.
Full textDeBellis, 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.
Full textBeneventano, 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.
Full textBolloju, 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.
Full textColetti, 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.
Full textBianchini, 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.
Full textConference papers on the topic "Semantic interoperability"
"Perspectives in Semantic Interoperability." In International Workshop on Semantic Interoperability. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003346700130022.
Full textDaireaux, 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.
Full text"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.
Full text"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.
Full text"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.
Full text"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.
Full text"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.
Full text"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.
Full text"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.
Full text"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.
Full textReports on the topic "Semantic interoperability"
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.
Full textHeflin, 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.
Full textLichtblau, 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.
Full textKagal, 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.
Full textRobinson, 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.
Full textJimenez, 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.
Full textBarlos, 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.
Full textShapovalov, 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.
Full textBishr, 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.
Full textGonzález-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.
Full text