Relevant bibliographies by topics / Ontology representation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Ontology representation'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Ontology representation"

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Cockayne, Daniel G., Derek Ruez, and Anna Secor. "Between ontology and representation." Progress in Human Geography 41, no. 5 (June 8, 2016): 580–99. http://dx.doi.org/10.1177/0309132516650028.

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The concept of difference has long been integral to geographical thought. However, it is rare for geographers to consider precisely what difference is, or how it functions, and there are several contrasting traditions through which difference is understood. We argue that geographers could helpfully extend their theorizations of difference through Deleuze’s philosophy of ‘difference-in-itself’. We examine the value of a ‘difference-in-itself’ that views difference as generative, originary, and primary, in productive tension with conceptions of difference that tend to, purposefully or otherwise, subordinate difference to presupposed identity-based, representational categories, or dialectical forms of contradiction and opposition.
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Albers, Albert, Hannes Schmalenbach, and Quentin Lohmeyer. "Ontology development for knowledge representation." International Journal of Product Development 14, no. 1/2/3/4 (2011): 53. http://dx.doi.org/10.1504/ijpd.2011.042293.

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Ali, Abdullah, Siti Mariyam Shamsuddin, and Fathy E. Eassa. "Ontology-based Cloud Services Representation." Research Journal of Applied Sciences, Engineering and Technology 8, no. 1 (July 5, 2014): 83–94. http://dx.doi.org/10.19026/rjaset.8.944.

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Li, Jia, Yun Bin Yang, and Li Fan Wei. "Ontology-Based Knowledge Representation for Mechanical Products." Advanced Materials Research 605-607 (December 2012): 365–70. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.365.

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Knowledge Based Engineering (KBE) helps sharing and reusing knowledge in modern mechanical design field. As a core part of KBE, various methods of knowledge representation were studied. In order to reuse the mechanical design knowledge, the methodology of ontology-based knowledge representation was discussed. First, the concepts, formal description, specialties and languages of ontology were described. Then, three categories of ontology in the field of mechanical design, general ontology, domain ontology and product ontology, were discussed. The product ontology was analyzed by the configuration design method. Finally, an example of ontology-based knowledge representation for mechanical products was studied. The work about ontology-based knowledge representation methodology may support the application of KBE in mechanical design field.
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Koten, Irianto Liko, and Cokorda Rai Adi Pramartha. "Semantic Representation of Balinese Traditional Dance." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 8, no. 4 (February 4, 2020): 411. http://dx.doi.org/10.24843/jlk.2020.v08.i04.p07.

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Bali is an island in Indonesia that is rich in culture, for example, is a traditional dance. The traditional dance performance is diverse from one village to another village in Bali. The traditional Balinese dance knowledge should be captured dan documented well in a digital form so that it can be shared easily to different people and generation across the world. The use of ontology as an information representation technique is the preferred solution in this matter because ontology can be used to enhance the development of semantic applications, especially when dealing with semantic webs. In this project, the ontology was built using Protege ontology development tool. We follow the methontology ontology development method where this methodology clearly describes each of its activity. In this study, we focus to describe two variants of Balinese traditional dance (Barong dance and Pendet dance). In the future, we expect that more type of dance can be documented using our proposed ontology. Keywords: Balinese Dance, Ontology,Semantic Web
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Shi, Xin. "Construction of Design Process Ontology Database Based on Process Ontology." Applied Mechanics and Materials 263-266 (December 2012): 3352–56. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.3352.

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Based on product design process knowledge reuse, according to the characteristics of ontology knowledge representation, process ontology knowledge representation method is offered. The paper extracts the category of design process, defines and describes the attribute and relationship of these categories. Then, the design process ontology database based on process ontology is constructed. As a result, it supports to achieve the sharing and reusing of design process knowledge.
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Gai, Ling. "Ontology-Based Knowledge Representation Model for E-Government." Advanced Materials Research 271-273 (July 2011): 281–84. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.281.

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The article systematically analyzes the method of knowledge representation, introduce the basic concepts of the ontology, the ontology-based knowledge representation method of E-government. The focus is examining the E-government Ontology Modeling Language, OWL language, and then propose the principle of build E-government Ontology. It is including the ontology construction method, build tools and build.
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To, Hoai-Viet, Bac Le, and Mitsuru Ikeda. "An Ontological Approach for Representation of Educational Program." International Journal of Knowledge and Systems Science 5, no. 3 (July 2014): 18–35. http://dx.doi.org/10.4018/ijkss.2014070102.

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The research of ontology application in knowledge sharing in current information society has attracted much effort in recent years. This paper studies expressive power of description logic OWL-DL ontology to express complicated knowledge in practical situation and constructs an ontology to represent complicated knowledge of educational program to help students to understand the requirements and build their study plans that fulfill these requirements. This ontology demonstrates the applicability of expressive ontology in representation of complex knowledge for knowledge sharing. Therefore, this paper shows the promising possibility of extending ontology utilization to knowledge sharing research and application by employing rich semantic features of recent ontology specification.
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Shao, Wei Ping, Chun Yan Wang, Yong Ping Hao, Peng Fei Zeng, and Xiao Lei Xu. "Ontology-Based Workflow Semantic Representation and Modeling Method." Advanced Materials Research 129-131 (August 2010): 50–54. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.50.

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An ontology-based workflow (workflow-ontology) representation method was proposed after analyzing that not only structure information but also semantic information were needed in a workflow model. Workflow-ontology concepts were composed by class and subclass of the workflow. Concepts’ properties including their values and characteristics were redefined, and then, workflow-ontology modeling method was put forward based on the ontology expresses and definitions above. With the example of applying in products examined and approved workflows, the corresponding workflow-ontology model (WFO) was built.
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Hong-guang, BO, Li Longlong, and Li Zhixiang. "HIGH-SPEED LOCOMOTIVE XBOM ONTOLOGY MODELING RESEARCH SUPPORTING MRO SEMANTIC KNOWLEDGE REPRESENTATION." International Journal of Engineering Technologies and Management Research 5, no. 3 (February 10, 2020): 33–43. http://dx.doi.org/10.29121/ijetmr.v5.i3.2018.175.

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The new trends of high-speed rail locomotive manufacturing set higher requirement for MRO knowledge representation and XBOM. Therefore, XBOM ontology modeling supporting MRO semantic knowledge representation has become an important research topic of the high speed railway locomotive manufacturing industry. This paper firstly expounds the model frame of high-speed locomotive XBOM ontology, then take the global ontology, the construction ontology and the maintenance plan ontology as examples; respectively carding and analyzing four approaches each ontology contains that class (concept), object, data attribute, and constraint rule and central with the supporting MRO semantic knowledge representation, the XBOM ontology conceptual model can be created; At last, High speed rail train MRO semantic knowledge representation was realized by using protégé4.1 ontology modeling of XBOM for high-speed locomotive
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Dissertations / Theses on the topic "Ontology representation"

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Sundström, Andreas. "Representing Performance | Performing Representation : Ontology in accounting practice." Doctoral thesis, Stockholms universitet, Företagsekonomiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-119958.

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Social studies of accounting have drawn attention to the dubious role of accounting as a representational link between organizational realities and action. Based on five years immersion with performance management and board work in a theatre company, this thesis inquires into the ontological significance of accounting practices. The study takes a praxiographic approach, which emphasizes action and relocates questions of representation towards the practices in which representations are mobilized. The research questions refer specifically to ontological work related to commensurability and distance in accounting practices. Four papers attend to the manners in which the organizational performance of the theatre company is represented in different situations of managing, governing and reporting. The papers demonstrate and analyse different examples of ontological work involved in achieving (or retracting) representational links. In conclusion, the thesis places the organizing of ontological tensions – especially the tension between singular accounting representations and multiple organizational realities – at the core of accounting representation practices. The thesis thus contributes to practical, theoretical and philosophical discussions on the links between accounting practices, accounts and reality.

At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 2: Manuscript. Paper 3: Manuscript. Paper 4: Manuscript.

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Meisel, Helmut. "Ontology representation and reasoning : a conceptual level approach." Thesis, University of Aberdeen, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420216.

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Ontologies play a key role in many areas of Computing Science, such as Information Retrieval, Knowledge Management, and Knowledge Engineering. However, Ontology development and maintenance is a challenging task that is currently not very well supported by software tools. Most existing ontology editors cannot provide the kind of automated reasoning support that is required for the verification and for the validation of ontologies. More concretely, such an automated support should (i) check the ontology consistency and (ii) suggest possible enhancements to the ontology taxonomy. Description Logic engines compute the kind of inferences that are useful for an automated ontology verification and validation but are not suitable for all ontology representation languages. More concretely, the semantics of Description Logics is based on the Open World Assumption, whereas the semantics of some ontology representation languages is based on the Closed World Assumption. Furthermore, the knowledge model of Description Logics is derived from Frame-based knowledge representation. Therefore Description Logics lack some modelling primitives necessary to express knowledge that can be represented with conceptual modelling languages. On the other hand, conceptual modelling languages (i) do not have the same expressive power as Frame-based ontology languages and (ii) no reasoners are available for automated reasoning with these languages. Hence, this thesis introduces the Conceptual Knowledge Modelling Language (CKML) and proposes an approach for the verification and validation of CKML ontologies. Rather than developing a special-purpose reasoning algorithm for CKML, we investigate how Description Logic engines can be used for this task. This approach can also be applied to a language that describes database schemas specified with the Enhanced Entity-Relationship model.
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Le, Pendu Paea Jean-Francois 1974. "Ontology databases." Thesis, University of Oregon, 2010. http://hdl.handle.net/1794/10575.

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xi, 89 p. : ill. A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number.
On 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
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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.

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Module extraction is the task of computing a (preferably small) fragment M of an ontology O that preserves a class of entailments over a signature of interest ∑. Existing practical approaches ensure that M preserves all second-order entailments of O over ∑, which is a stronger condition than is required in many applications. In the first part of this thesis, we propose a novel approach to module extraction which, based on a reduction to a datalog reasoning problem, makes it possible to compute modules that are tailored to preserve only specific kinds of entailments. This leads to obtaining modules that are often significantly smaller than those produced by other practical approaches, as shown in an empirical evaluation. In the second part of this thesis, we consider the application of module extraction to the optimisation of ontology classification. Classification is a fundamental reasoning task in ontology design, and there is currently a wide range of reasoners that provide this service. Reasoners aimed at so-called lightweight ontology languages are much more efficient than those aimed at more expressive ones, but they do not offer completeness guarantees for ontologies containing axioms outside the relevant language. We propose an original approach to classification based on exploiting module extraction techniques to divide the workload between a general purpose reasoner and a more efficient reasoner for a lightweight language in such a way that the bulk of the workload is assigned to the latter. We show how the proposed approach can be realised using two particular module extraction techniques, including the one presented in the first part of the thesis. Furthermore, we present the results of an empirical evaluation that shows that this approach can lead to a significant performance improvement in many cases.
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Marin, 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.
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Paula, 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.

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Fundação Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro
A 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.
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Chester, Ruth Marie. "Ethics, ontology and representation : the virtu-dynamic of Dante's Commedia." Thesis, University of Leeds, 2012. http://etheses.whiterose.ac.uk/11315/.

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This thesis explores the conception and representation of virtu in Dante's Commedia. In order to break the existing limited boundaries of the way virtue is read in the Commedia, and to establish a richer sense of the ideas a fourteenth-century poet might have had in relation to the topic, this thesis begins with two chapters which consider notions of virtue in the intellectual and cultural traditions prior to Dante. Chapter One focuses on the philosophical and theological traditions and considers works by Aristotle, Plato, Augustine, Gregory the Great and Thomas Aquinas. Chapter Two turns to look at virtue as a prominent theme in a wide variety of popular cultural forms of the medieval period. These include sermons, devotional literature, visual art and poetry. In the light of these two chapters, the thesis proposes a reading of virtu in the Commedia which acknowledges it as a notion which is at a nexus of being and doing, of metaphysical and physical, of idea and representation. What I have termed the virtu-dynamic in the Commedia, is that through which Dante fundamentally connects ethics and ontology, so that human behaviour becomes an expression of an individual's ontological state. The virtu-dynamic is the interaction which the Commedia traces between the creative action of God and the responsive action of man. The final three chapters of the thesis consider this in relation to different aspects of the poem. Chapter Three considers the role Dante gives to virtu in the process of creation and incarnation in his poem. Chapter Four looks at how Dante stages the interactions between God and man which are underpinned by virtu. The final chapter considers how Dante conceives the role of virtu in relation to the experiences and salvation of his own pilgrim-poet self. This analysis is based on a close focus, not only on the abstract ideas of virtu which the Commedia proposes, but on how those ideas are manifested and vivified by the text.
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Gaspar, Tiago Manuel dos Santos. "Methodology for collaborative enterprise reference ontology building." Master's thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/5708.

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Dissertation presented at Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa to obtain the Master degree in Electrical Engineering and Computer Science
In the actual competitive world, doing business globally has become critical to the survival of most enterprises. It is becoming each day more and more difficult for small enterprises to grow by operating alone in the market. Hence, most companies started feeling the need for joining collaborative environments becoming easier to manage their products and services, and where they can offer better products with low production costs. To achieve this, enterprises require the establishment of cooperation agreements among each other with the idea of expanding their business networks. Consequently there is a demand for intelligent solutions capable of reinforcing partnerships and collaborations between enterprises, organised groups or singular people. However, due to the worldwide diversity of communities, a high number of knowledge representation elements, such as ontologies, which are not semantically coincident, have appeared representing the same segment of reality. Even operating in the same domain, enterprises do not understand each other, making the communication among various systems parties more difficult and sometimes impracticable. This dissertation responds to the needs identified above, proposing a collaborative methodology for ontology building, enriched with qualitative information collection methods, to effectively improve the approach to elicit knowledge from business domain experts, towards interoperable intelligent systems. This methodology allows different individuals from enterprises or organisations working on the same field or area, to join a collaborative environment for building a common ontology specific to their ―Domain of Discourse‖. To accomplish this, several steps are taken including terms and definitions gathering, glossary and thesaurus building, and ontology mappings
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Gomes, Ricardo Nuno Silva Cruz. "An ontology-based representation of an agent-based controlled robotic cell." Master's thesis, Faculdade de Ciências e Tecnologia, 2010. http://hdl.handle.net/10362/5400.

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Dissertação apresentada na Faculdade de Ciência e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores
Customers demand for high product customization and differentiation, and short product life-cycle. As such, industries have to adapt their manufacturing systems more frequently in order to remain competitive. Changing manufacturing systems within a short period of time requires a huge effort in terms of time and money, reducing this effort would make industries more competitive. The proposed solution consists in developing an ontology-based multi-agent system to control manufacturing systems. Defining the ontology for the manufacturing system allows the control to perform its operation, and when changes arise, it is required to change the ontology so that the control became aware of the changes to control the manufacturing system. An ontology-based control allows for a smaller setup time since the control is not specific for one physical system and can be applied to different ones, therefore it reduces the effort in adapting manufacturing systems to required changes allowing industries to became more competitive. Flexibility is given by the multi-agent system that controls the physical system with the ontology. Stating this, the solution of an ontology-based control for manufacturing systems provides the required results.
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Goasdoué, François. "Knowledge Representation meets DataBases for the sake of ontology-based data management." Habilitation à diriger des recherches, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00759274.

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This Habilitation thesis outlines my research activities carried out as an Associate Professor at Univ. Paris-Sud and Inria Saclay Île-de-France. During this period, from 2003 to early 2012, my work was - and still is - at the interface between Knowledge Representation and Databases. I have mainly focused on ontology-based data management using the Semantic Web data models promoted by W3C: the Resource Description Framework (RDF) and the Web Ontology Language (OWL). In particular, my work has covered (i) the design, (ii) the optimization, and (iii) the decentralization of ontology-based data management techniques in these data models. This thesis briefly reports on the results obtained along these lines of research.
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Books on the topic "Ontology representation"

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Anupama, Mallik, and Ghosh Hiranmay, eds. Multimedia ontology: Representation and applications. Boca Raton, Florida: CRC Press, 2016.

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Nussbaum, Charles O. The musical representation: Meaning, ontology, and emotion. Cambridge, Mass: MIT Press, 2007.

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Ontology representation: Design patterns and ontologies that make sense. Amsterdam: IOS Press, 2009.

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Gargouri, Faiez. Ontology theory, management and design: Advanced tools and models. Hershey, PA: Information Science Reference, 2010.

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Corcho, Oscar. A layered declarative approach to ontology translation with knowledge preservation. Amsterdam: IOS, 2005.

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Bachimont, Bruno. Ingénierie des connaissances et des contenus: Le numérique entre ontologies et documents. Paris: Hermès science, 2007.

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C, Varzi Achille, and Vieu Laure, eds. Formal ontology in information systems: Proceedings of the third conference (FOIS-2004). Amsterdam: IOS Press, 2004.

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FOIS (Conference) (6th 2010 Toronto, Canada). Formal ontology in information systems: Proceedings of the Sixth International Conference (Fois 2010). Amsterdam: IOS Press, 2010.

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(2006), FOIS (2006). Formal ontology in information systems: Proceedings of the fourth international conference (FOIS 2006). Amsterdam: IOS Press, 2006.

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FOIS (Conference) (5th 2008 Saarbrücken, Germany). Formal ontology in information systems: Proceedings of the Fifth International Conference (FOIS 2008). Amsterdam, Netherlands: IOS Press, 2008.

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Book chapters on the topic "Ontology representation"

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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.

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Gaševic, Dragan, Dragan Djuric, and Vladan Devedžic. "Knowledge Representation." In Model Driven Engineering and Ontology Development, 3–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00282-3_1.

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Alharbi, Eisa, John Howse, Gem Stapleton, and Ali Hamie. "Evaluating Diagrammatic Patterns for Ontology Engineering." In Diagrammatic Representation and Inference, 51–66. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42333-3_5.

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Onyshkevych, Boyan A., and Sergei Nirenburg. "Lexicon, ontology, and text meaning." In Lexical Semantics and Knowledge Representation, 289–303. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55801-2_42.

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Chen, Shan, and Aidan Delaney. "Diagrammatically Formalising Constraints of a Privacy Ontology." In Diagrammatic Representation and Inference, 672–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91376-6_59.

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Simou, Nikolaos, Carsten Saathoff, Stamatia Dasiopoulou, Evangelos Spyrou, Nikola Voisine, Vassilis Tzouvaras, Ioannis Kompatsiaris, Yiannis Avrithis, and Steffen Staab. "An Ontology Infrastructure for Multimedia Reasoning." In Visual Content Processing and Representation, 51–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11738695_8.

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Lemanski, Jens. "Calculus CL as Ontology Editor and Inference Engine." In Diagrammatic Representation and Inference, 752–56. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91376-6_74.

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Chebba, Asmaa, Thouraya Bouabana-Tebibel, and Stuart H. Rubin. "Context in Ontology for Knowledge Representation." In Advanced Computational Methods for Knowledge Engineering, 311–20. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17996-4_28.

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Tamma, Valentina A. M., and Trevor J. M. Bench-Capon. "Supporting Inheritance Mechanisms in Ontology Representation." In Knowledge Engineering and Knowledge Management Methods, Models, and Tools, 140–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-39967-4_11.

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Nirenburg, Sergei, and Lori Levin. "Syntax-driven and ontology-driven lexical semantics." In Lexical Semantics and Knowledge Representation, 5–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55801-2_24.

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Conference papers on the topic "Ontology representation"

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"ONTOLOGY-DRIVEN 3D RECONSTRUCTION OF ARCHITECTURAL OBJECTS." In 3D Model Aquisition and Representation. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002047300470054.

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Ming, Zhenjun, Yan Yan, Guoxin Wang, Jitesh H. Panchal, Chung Hyun Goh, Janet K. Allen, and Farrokh Mistree. "Ontology-Based Representation of Design Decision Hierarchies." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59405.

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Abstract:
It is efficacious to capture and represent the knowledge for decision support in engineering design. Ontology is a promising knowledge modeling scheme in the engineering domain. In this paper, an ontology is proposed for capturing, representing and documenting the knowledge related to hierarchical decisions in the design of complex engineered systems. The ontology is developed based on the coupled Decision Support Problem (DSP) construct, taking into consideration the requirements for a computational model that represents a decision hierarchy. Key to the ontology is the concept of two classes, namely, Process which represents the basic hierarchy building blocks where the DSPs are embedded, and Interface which represents the DSP information flows that link different Processes to a hierarchy. The efficacy of the ontology is demonstrated using a portal frame design example.
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Benta, Kuderna-Iulian, Anca Rarău, and Marcel Cremene. "Ontology Based Affective Context Representation." In the 2007 Euro American conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1352694.1352741.

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Sun, Yu, and Zhiping Li. "Ontology-based domain knowledge representation." In Education (ICCSE). IEEE, 2009. http://dx.doi.org/10.1109/iccse.2009.5228500.

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"KNOWLEDGE REPRESENTATION THROUGH COHERENCE SPACES - A Theoretical Framework for the Integration of Knowledge Representations." In International Conference on Knowledge Engineering and Ontology Development. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002301002200225.

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"KNOWLEDGE REPRESENTATION FRAMEWORK FOR CURRICULUM DEVELOPMENT." In International Conference on Knowledge Engineering and Ontology Development. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003052303270330.

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"Prototypes Vs Exemplars in Concept Representation." In International Conference on Knowledge Engineering and Ontology Development. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004139102260232.

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"KNOWLEDGE REPRESENTATION FOR HUMAN-MACHINE INTERACTION." In International Conference on Knowledge Engineering and Ontology Development. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002293203960399.

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"Probabilistic Models for Semantic Representation." In The 1st International Workshop on Ontology for e-Technologies. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002222100130022.

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Dong, Hai, Farookh Khadeer Hussain, and Elizabeth Chang. "Ontology-Based Digital Ecosystem Conceptual Representation." In Third International Conference on Autonomic and Autonomous Systems (ICAS'07). IEEE, 2007. http://dx.doi.org/10.1109/conielecomp.2007.91.

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Reports on the topic "Ontology representation"

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Fiorentini, 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.

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