Academic literature on the topic 'Ontology'
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Journal articles on the topic "Ontology"
Andreasik, Jan. "Ontologia BHP na podstawie normy PN-N-18001." Barometr Regionalny. Analizy i Prognozy 15, no. 4 (February 16, 2018): 145–52. http://dx.doi.org/10.56583/br.416.
Full textSchenk, Paulina M., Alison J. Wright, Robert West, Janna Hastings, Fabiana Lorencatto, Candice Moore, Emily Hayes, Verena Schneider, and Susan Michie. "An ontology of mechanisms of action in behaviour change interventions." Wellcome Open Research 8 (August 11, 2023): 337. http://dx.doi.org/10.12688/wellcomeopenres.19489.1.
Full textSchenk, Paulina M., Alison J. Wright, Robert West, Janna Hastings, Fabiana Lorencatto, Candice Moore, Emily Hayes, Verena Schneider, Ella Howes, and Susan Michie. "An ontology of mechanisms of action in behaviour change interventions." Wellcome Open Research 8 (May 30, 2024): 337. http://dx.doi.org/10.12688/wellcomeopenres.19489.2.
Full textZhu, Linli, Yu Pan, Mohammad Reza Farahani, and Wei Gao. "Graph Laplacian Based Ontology Regularization Distance Framework for Ontology Similarity Measuring and Ontology Mapping." Journal of Computational Mathematica 1, no. 1 (June 30, 2017): 88–98. http://dx.doi.org/10.26524/cm6.
Full textEl-Yunusi, Muhammad Yusron Maulana, Putri Yasmin, and Laylatul Mubarok. "Ontologi Filsafat Pendidikan Islam (Studi Kasus: Bahan Ajar Penerapan Literasi pada Peserta Didik)." JIIP - Jurnal Ilmiah Ilmu Pendidikan 6, no. 9 (September 1, 2023): 6614–24. http://dx.doi.org/10.54371/jiip.v6i9.2800.
Full textvon Rosing, Mark, and Wim Laurier. "An Introduction to the Business Ontology." International Journal of Conceptual Structures and Smart Applications 3, no. 1 (January 2015): 20–41. http://dx.doi.org/10.4018/ijcssa.2015010102.
Full textShi, Zong Lin, Da Quan Tang, Zhen Tan, and Gui Fang Wang. "Ontology of Aircraft Carrier Geographic Information." Advanced Materials Research 989-994 (July 2014): 5014–20. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.5014.
Full textThomasson, Amie L. "Quizzical Ontology and Easy Ontology." Journal of Philosophy 111, no. 9 (2014): 502–28. http://dx.doi.org/10.5840/jphil20141119/1035.
Full textSimperl, Elena, Cristina Sarasua, Rachanee Ungrangsi, and Tobias Bürger. "Ontology metadata for ontology reuse." International Journal of Metadata, Semantics and Ontologies 6, no. 2 (2011): 126. http://dx.doi.org/10.1504/ijmso.2011.046579.
Full textSad-Houari, Nawal, Noria Taghezout, and Aissa Nador. "A knowledge-based model for managing the ontology evolution: case study of maintenance in SONATRACH." Journal of Information Science 45, no. 4 (October 3, 2018): 529–53. http://dx.doi.org/10.1177/0165551518802261.
Full textDissertations / Theses on the topic "Ontology"
Zamazal, Ondřej. "Pattern-based Ontology Matching and Ontology Alignment Evaluation." Doctoral thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-77051.
Full textPaula, Felipe Cordeiro de. "MAS Ontology: uma ontologia de métodos orientados a agentes." Universidade do Estado do Rio de Janeiro, 2014. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=8211.
Full textA modelagem orientada a agentes surge como paradigma no desenvolvimento de software, haja vista a quantidade de iniciativas e estudos que remetem à utilização de agentes de software como solução para tratar de problemas mais complexos. Apesar da popularidade de utilização de agentes, especialistas esbarram na falta de universalidade de uma metodologia para construção dos Sistemas Multiagentes (MAS), pois estas acabam pecando pelo excesso ou falta de soluções para modelar o problema. Esta dissertação propõe o uso de uma Ontologia sobre Metodologias Multiagentes, seguindo os princípios da Engenharia de Métodos Situacionais que se propõe a usar fragmentos de métodos para construção de metodologias baseados na especificidade do projeto em desenvolvimento. O objetivo do estudo é sedimentar o conhecimento na área de Metodologias Multiagentes, auxiliando o engenheiro de software a escolher a melhor metodologia ou o melhor fragmento de metodologia capaz de modelar um Sistema Multiagentes.
The agent-oriented modeling emerges as a paradigm in software development, considering the amount of initiatives and studies that refer to the use of software agents as a solution to address more complex problems. Despite the popularity of using agents, experts bump in the lack of universality of a methodology for the construction of Multiagent Systems (MAS), as they end up sinning by excess or lack of solutions to model the problem. This thesis proposes the use of an Ontology based in Methodologies for Multi-Agent Systems, following the principles of Situational Method Engineering, which proposes to use fragments of methods for constructing methodologies based on the specificity of the development project. The aim of this work is to consolidate the knowledge in the area of Multiagent Methodologies by helping the software engineering to choose the best methodology or the best fragment method able to model a specific Multiagent System.
Aparicio, Jose Martin Lozano. "Ontology view : a new sub-ontology extraction method." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/119251.
Full textNowadays many petroleum companies are adopting different knowledge-based systems aiming to have a better reservoir quality prediction. However, there are obstacles that not allow different background geologists to retrieve information without needing the help of an information technology expert. The main problem is the heterogeneity semantic of end users when doing queries in a visual query system (VQS). This can be worst when there is new terminology in the knowledge-base affecting the user interaction, particularly for novice users. In this context, we present theoretical and practical contributions that exploit the synergism between ontology and human computer interaction (HCI). On the theory side, we introduce the concept of ontology view for well-founded ontology and provide a formal definition and expressive power characterization. We focus in the ontology view extraction of a well-founded and complete ontology based on ontological meta-properties and propose a language independent algorithm for sub-ontology extraction, which is guided by ontological meta-properties. On the practical side, based on the principles of HCI and interaction design, we propose a new Visual Query System that uses the ontology view approach to guide the query process. Also, our design includes data visualizations that will help geologists to make sense of the retrieved data. Furthermore, we evaluated our interaction design with five users performing a usability testing through a questionnaire in a controlled experiment. The evaluation was performed over geologists that work in the area of petroleum geology. The approach proposed is evaluated on the petrography domain taking the communities of Diagenesis and MicroStructural adopting the well known criteria of precision and recall. Experimental results show that relevant terms obtained from the documents of a community varies from 30 to 66 % of precision and 4.6 to 36% of recall depending on the approach selected and the parameters combination. Furthermore, results show that almost for all the parameters combination that recall and f-measure obtained from diagenesis articles using the sub-ontology generated for the diagenesis community is greater than recall and f-measure using the sub-ontology generated for microstructural community. On the other hand, results for all the parameters combination that recall and f-measure obtained from microstructural articles using the sub-ontology generated for the microstructural community is greater than recall and f-measure using the subontology generated for diagenesis community.
Armas, Romero Ana. "Ontology module extraction and applications to ontology classification." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:4ec888f4-b7c0-4080-9d9a-3c46c91f67e3.
Full textRodríguez, Pérez Jezabel. "Heidegger y Spinoza: sobre el giro ético de la ontología y la comprensión ontológica de los afectos." Doctoral thesis, Universitat Autònoma de Barcelona, 2020. http://hdl.handle.net/10803/669553.
Full textLa presente investigación tiene como principal propósito discutir con Heidegger el lugar de Spinoza en la historia de la filosofía occidental. En contra de lo que tradicionalmente se ha pensado, defendemos aquí dos puntos de convergencia entre ambos autores: el giro ético de la ontología y la comprensión ontológica de los afectos.
The main purpose of this research is to discuss with Heidegger the place of Spinoza in the history of Western philosophy. Contrary to what has traditionally been thought of, we defend here two points of convergence between the two authors: the ethical turn of the ontology and the ontological understanding of affections.
Bergh, Johann Rath. "Ontology comprehension." Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6517.
Full textENGLISH ABSTRACT: Ontologies are conceptual models of a domain of discourse and are used in a number of applications to model a field of knowledge. For example, SNOMED, an ontology of medical terminology, is widely used among medical professionals. Commercial ontologies, such as SNOMED, can have hundreds of thousands of concepts. People who want to use these ontologies need an understanding thereof, but the sheer magnitude of these ontologies hampers comprehension. It was within this context that the need arose for software tools that facilitate the understanding of ontologies. Given this background, our aim is to investigate a new area within the field of ontologies, namely, ontology comprehension. We make a contribution to it by developing an ontology comprehension framework and writing a software tool of our own. This software tool, PathViz, helps users to understand how different concepts in an ontology are related to each other and what effect entailments have on the way concepts in an ontology relate to each other. The ontology comprehension framework, PathViz and the reasoning measurement instruments were found useful for ontology comprehension by participants at an ontology workshop.
AFRIKAANSE OPSOMMING: Ontologieë is konseptuele modelle van ’n domein en word in verskeie toepassings gebruik om ’n kennisveld te modelleer. SNOMED is ’n voorbeeld van ’n ontologie van mediese terme wat baie gebruik word deur die mediese beroepslui. Kommersiële ontologieë, soos SNOMED, kan bestaan uit duisende konsepte. Dit is belangrik om hierdie ontologieë wat gebruik word te verstaan, maar die enorme omvang van hierdie ontologieë belemmer die verstaanproses. In hierdie konteks het die behoefte ontstaan vir programmatuur wat die verstaanproses van ontologieë vergemaklik. Met hierdie agtergrond inaggenome, is dit ons doel om ’n nuwe area in die veld van ontologieë te ondersoek, naamlik, Ontologie-begrip. Ons maak ’n bydra tot hierdie veld deur ’n raamwerk vir ontologie-begrip te ontwikkel en programmatuur van ons eie te skryf. Hierdie programmatuur, PathViz, help gebruikers om te verstaan hoe verskillende konsepte in ’n ontologie aan mekaar verwant is. Verder help dit gebruikers om te verstaan watter invloed afleidings uit die ontologieë het op konsepverwantskappe. Deelnemers aan ’n ontologie-werkswinkel het gevind dat die raamwerk vir ontologie-begrip, PathViz en die instrumente wat die invloed van die ontologie-redeneerder meet, ontologie-begrip bevorder.
Le, Pendu Paea Jean-Francois 1974. "Ontology databases." Thesis, University of Oregon, 2010. http://hdl.handle.net/1794/10575.
Full textOn the one hand, ontologies provide a means of formally specifying complex descriptions and relationships about information in a way that is expressive yet amenable to automated processing and reasoning. When data are annotated using terms from an ontology, the instances inhere in formal semantics. Compared to an ontology, which may have as few as a dozen or as many as tens of thousands of terms, the annotated instances for the ontology are often several orders of magnitude larger, from millions to possibly trillions of instances. Unfortunately, existing reasoning techniques cannot scale to these sizes. On the other hand, relational database management systems provide mechanisms for storing, retrieving, and maintaining the integrity of large amounts of data. Relational database management systems are well known for scaling to extremely large sizes of data, some claiming to manage over a quadrillion data. This dissertation defines ontology databases as a mapping from ontologies to relational databases in order to combine the expressiveness of ontologies with the scalability of relational databases. This mapping is sound and, under certain conditions, complete. That is, the database behaves like a knowledge base which is faithful to the semantics of a given ontology. What distinguishes this work is the treatment of the relational database management system as an active reasoning component rather than as a passive storage and retrieval system. The main contributions this dissertation will highlight include: (i) the theory and implementation particulars for mapping ontologies to databases, (ii) subsumption based reasoning, (iii) inconsistency detection, (iv) scalability studies, and (v) information integration (specifically, information exchange). This work is novel because it is the first attempt to embed a logical reasoning system, specified by a Semantic Web ontology, into a plain relational database management system using active database technologies. This work also introduces the not-gadget , which relaxes the closed-world assumption and increases the expressive power of the logical system without significant cost. This work also demonstrates how to deploy the same framework as an information integration system for data exchange scenarios, which is an important step toward semantic information integration over distributed data repositories.
Committee in charge: Dejing Dou, Chairperson, Computer & Information Science; Zena Ariola, Member, Computer & Information Science; Christopher Wilson, Member, Computer & Information Science; Monte Westerfield, Outside Member, Biology
Dolson, C. Daniel. "Toward A Lean Ontology: Quine, (Meta) Ontology, and Descriptions." Ohio : Ohio University, 2006. http://www.ohiolink.edu/etd/view.cgi?ohiou1155833916.
Full textWohlgenannt, Gerhard, Stefan Belk, and Matthias Schett. "A Prototype for Automating Ontology Learning and Ontology Evolution." SciTePress, 2013. http://epub.wu.ac.at/4106/1/keod2013.pdf.
Full textMarin, Neto Antonio [UNESP]. "Ontologias na representação do conhecimento: uma ferramenta semântica para a ciência da informação." Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/155929.
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As ontologias surgiram a partir de discussões na Filosofia com o objetivo de discutir a essência das coisas, nos estudos da metafísica por Aristóteles, que dentre os diferentes ramos de investigação filosófica, tratava do conhecimento da essência de toda a realidade. A ontologia trata do estudo do “Ser” enquanto ser. O termo foi posteriormente utilizado em diferentes áreas como a Ciência da Computação (CC), Psicologia, Ciência da Informação (CI), entre outros. Nesse texto é apresentado um levantamento da utilização das ontologias na representação do conhecimento, identificando e destacando a forma de utilização da ontologia como ferramenta na CC e CI. Para tal, o trabalho inicial com uma contextualização do termo ontologia, desde a sua origem na Filosofia até a sua utilização em algumas das áreas do conhecimento. Em seguida é apresentado um levantamento sobre a representação do conhecimento, a destacar a CC e CI, bem como sobre a utilização da ontologia nesse contexto informacional. Afim de evidenciar a importância das ontologias para representação do conhecimento, também são listadas as principais metodologias de criação de ontologia, aprendizado de ontologia, bem como as ferramentas utilizadas para essas tarefas, além do gerenciamento e engenharia de ontologias. E por fim são apresentadas as considerações finais acerca da utilização das ontologias como ferramentas semânticas na CI e como as futuruas pesquisas podem se beneficiar desse trabalho como uma base para o entendimento das ontologias como ferramenta semântica na CI.
Ontologies come from discussions in Philosophy to debate the essence of things in Aristotle's studies of metaphysics, which among the different branches of philosophical inquiry dealt with the knowledge of the essence of all reality. Ontology deals with the study of "Being" as being. The term was later used in different areas such as Computer Science (CC), Psychology, Information Science (IS), andothers. This thesis presents a survey of the use of ontologies in knowledge representation, identifying and highlighting how ontology is used as a semantic tool in CC and IS. For this, is presented a contextualization of the term ontology, from its origin in Philosophy to its use in some of the areas of knowledge. Next, a survey is presented on the representation of knowledge, highlighting the CC and IS, as well as on the use of the ontology in this informational context. In order to demonstrate the importance of ontologies for knowledge representation, the main methodologies for ontology creation, ontology learning, as well as the tools used for these tasks, as well as the management and engineering of ontologies are also listed. Finally, it's present the final considerations about the use of ontologies as semantic tools in IS and how future researches can benefit from this work as a basis for the understanding of ontologies as a semantic tool in IS.
Books on the topic "Ontology"
R, Mauricio Gonza lez. Fuera de casa, o, de la existencia impropia: Hacia otra lectura de ser y tiempo de Heidegger. Bogota: Universidad de los Andes, Facultad de Ciencias Sociales, Departamento de Filosofi a, 2005.
Find full textWang, Zhengran. Mou Zongsan ben ti lun yan jiu: A study of Mou Zongsan's ontology. Beijing Shi: She hui ke xue wen xian chu ban she, 2021.
Find full textKendall, Elisa F., and Deborah L. McGuinness. Ontology Engineering. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-031-79486-5.
Full textTamma, Valentina, Mauro Dragoni, Rafael Gonçalves, and Agnieszka Ławrynowicz, eds. Ontology Engineering. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33245-1.
Full textHepp, Martin, Pieter Leenheer, Aldo Moor, and York Sure, eds. Ontology Management. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-69900-4.
Full textPoli, Roberto, and Peter Simons, eds. Formal Ontology. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8733-4.
Full textEldred, Michael, ed. Social Ontology. Berlin, Boston: DE GRUYTER, 2008. http://dx.doi.org/10.1515/9783110333275.
Full textDietz, Jan L. G., and Hans B. F. Mulder. Enterprise Ontology. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38854-6.
Full textDietz, Jan L. G. Enterprise Ontology. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-33149-2.
Full textEuzenat, Jérôme, and Pavel Shvaiko. Ontology Matching. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38721-0.
Full textBook chapters on the topic "Ontology"
Ashraf, Jamshaid, Omar K. Hussain, Farookh Khadeer Hussain, and Elizabeth J. Chang. "Representation Phase: Ontology Usage Ontology (U Ontology)." In Measuring and Analysing the Use of Ontologies, 171–203. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75681-3_7.
Full textFileva, Iskra. "Ontology." In Encyclopedia of Personality and Individual Differences, 3328–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1488.
Full textShekhar, Shashi, and Hui Xiong. "Ontology." In Encyclopedia of GIS, 812. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_915.
Full textGruber, Tom. "Ontology." In Encyclopedia of Database Systems, 1–3. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1318-2.
Full textSteinhart, Eric. "Ontology." In Believing in Dawkins, 189–245. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43052-8_6.
Full textSmiraglia, Richard P. "Ontology." In The Elements of Knowledge Organization, 43–50. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09357-4_5.
Full textRomero, Gustavo E. "Ontology." In Scientific Philosophy, 29–49. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97631-0_3.
Full textWang, Yong. "Ontology." In Encyclopedia of Systems Biology, 1560–61. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_488.
Full textGruber, Tom. "Ontology." In Encyclopedia of Database Systems, 1963–65. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1318.
Full textSmith, Barry. "Ontology." In The Blackwell Guide to the Philosophy of Computing and Information, 153–66. Oxford, UK: Blackwell Publishing Ltd, 2008. http://dx.doi.org/10.1002/9780470757017.ch11.
Full textConference papers on the topic "Ontology"
Žáček, Martin. "Ontology or formal ontology." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992234.
Full textSenturk, Fatmana, and Vecdi Aytac. "Ontology segmentation in ontology matching." In 2017 International Conference on Computer Science and Engineering (UBMK). IEEE, 2017. http://dx.doi.org/10.1109/ubmk.2017.8093469.
Full textYin, Chi-Yen, Yau-Jung Lee, and Jiann-Min Yang. "Ontology." In the 2nd International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1655925.1656172.
Full textZúñiga, Gloria L. "Ontology." In the international conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/505168.505187.
Full textCordeiro, Felipe, Vera Maria B. Werneck, Neide dos Santos, and Luiz Marcio Cysneiros. "MAS Ontology: Ontology for Multiagent Systems." In 18th International Conference on Enterprise Information Systems. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005870105360543.
Full textSiricharoen, Waralak V. "Ontology editors approach for ontology engineering." In 2018 4th International Conference on Control, Automation and Robotics (ICCAR). IEEE, 2018. http://dx.doi.org/10.1109/iccar.2018.8384703.
Full textDoran, Paul, Valentina Tamma, and Luigi Iannone. "Ontology module extraction for ontology reuse." In the sixteenth ACM conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1321440.1321451.
Full textRuqiong Qiu, Hongwei Duan, Xiaomin Yu, LiNa Zheng, and Qi Cheng. "An ontology matching method for GML application ontology to GeoSPARQL ontology." In 2015 23rd International Conference on Geoinformatics. IEEE, 2015. http://dx.doi.org/10.1109/geoinformatics.2015.7378625.
Full textAmeri, Farhad, and Boonserm Kulvatunyou. "Modeling a Supply Chain Reference Ontology Based on a Top-Level Ontology." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-98278.
Full textHuang, Maojun. "On the concept of geographic ontology-from the viewpoints of philosophy ontology, information ontology and spatial ontology." In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567723.
Full textReports on the topic "Ontology"
Tarasenko, Roman A., Viktor B. Shapovalov, Stanislav A. Usenko, Yevhenii B. Shapovalov, Iryna M. Savchenko, Yevhen Yu Pashchenko, and Adrian Paschke. Comparison of ontology with non-ontology tools for educational research. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4432.
Full textMa, Xiaogang, Curt Tilmes, and Peter Fox. GCIS Ontology version 1.2. U.S. Global Change Research Program, 2015. http://dx.doi.org/10.7930/j0hq3wtk.
Full textPeraketh, Benjamin, Christopher P. Menzel, Richard J. Mayer, Florence Fillion, and Michael T. Futrell. Ontology Capture Method (IDEF5). Fort Belvoir, VA: Defense Technical Information Center, October 1994. http://dx.doi.org/10.21236/ada288442.
Full textAbeye, Binyam, Edward Barkmeyer, and Peter Denno. Product data sheet ontology. Gaithersburg, MD: National Institute of Standards and Technology, December 2014. http://dx.doi.org/10.6028/nist.ir.8035.
Full textBrodaric, B., and S. M. Richard. The GeoScience Ontology reference. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328296.
Full textDavidson, George S., Jana Strasburg, David Stampf, Lev Neymotin, Carl Czajkowski, Eugene Shine, James Bollinger, et al. Data mining for ontology development. Office of Scientific and Technical Information (OSTI), June 2010. http://dx.doi.org/10.2172/992328.
Full textCollins, Joseph B., and Doug Clark. Towards an Ontology of Physics. Fort Belvoir, VA: Defense Technical Information Center, July 2014. http://dx.doi.org/10.21236/ada609724.
Full textFiorentini, Xenia, Iacopo Gambino, Vei-Chung Liang, Sudarsan Rachuri, Mahesh Mani, and Conrad Bock. An ontology for assembly representation. Gaithersburg, MD: National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.ir.7436.
Full textSriram, Ram D., Conrad Bock, Fabian Neuhaus, Evan Wallace, Mary Brady, Mark A. Musen, and Joanne S. Luciano. NIST workshop on ontology evaluation. Gaithersburg, MD: National Institute of Standards and Technology, 2011. http://dx.doi.org/10.6028/nist.ir.7774.
Full textEastman, Roger, Craig Schlenoff, Stephen Balakirsky, and Tsai Hong. A Sensor Ontology Literature Review. National Institute of Standards and Technology, April 2013. http://dx.doi.org/10.6028/nist.ir.7908.
Full text