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Journal articles on the topic 'Ontology representation'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

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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Gailly, Frederik, Wim Laurier, and Geert Poels. "Positioning and Formalizing the REA Enterprise Ontology." Journal of Information Systems 22, no. 2 (September 1, 2008): 219–48. http://dx.doi.org/10.2308/jis.2008.22.2.219.

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ABSTRACT: Recent Resource, Event, Agent (REA) research has focused on defining and theoretically justifying the ontology's contents. Here, we elaborate on more practical issues related to REA. First, we classify REA and its applications using ontology classification schemes and application frameworks. This analysis clarifies REA's application potential but also reveals weaknesses that may impede its operationalization. Next, we propose a new REA ontology specification that uses a Unified Modeling Language (UML) profile for graphically representing ontologies. This new specification is more complete and precise than previously available specifications, without compromising understandability. It can easily be transformed into a machine-readable representation for automatic processing, which is a prerequisite for the successful application of REA in business modeling, software engineering, knowledge representation, and interoperability creation. The paper ends with a proof of concept application in which a formal Ontology Web Language (OWL) specification of REA is fed into the Prote´ge´ knowledge representation tool and subsequently used for the development of an enterprise schema.

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Bera, Palash, Anna Krasnoperova, and Yair Wand. "Using Ontology Languages for Conceptual Modeling." Journal of Database Management 21, no. 1 (January 2010): 1–28. http://dx.doi.org/10.4018/jdm.2010112301.

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Conceptual models are used to support understanding of and communication about application domains in information systems development. Such models are created using modeling grammars (usually employing graphic representation). To be effective, a grammar should support precise representation of domain concepts and their relationships. Ontology languages such as OWL emerged to define terminologies to support information sharing on the Web. These languages have features that enable representation of semantic relationships among domain concepts and of domain rules, not readily possible with extant conceptual modeling techniques. However, the emphasis in ontology languages has been on formalization and being computer-readable, not on how they can be used to convey domain semantics. Hence, it is unclear how they can be used as conceptual modeling grammars. We suggest using philosophically based ontological principles to guide the use of OWL as a conceptual modeling grammar. The paper presents specific guidelines for creating conceptual models in OWL and demonstrates, via example, the application of the guidelines to creating representations of domain phenomena. To test the effectiveness of the guidelines we conducted an empirical study comparing how well diagrams created with the guidelines support domain understanding in comparison to diagrams created without the guidelines. The results indicate that diagrams created with the guidelines led to better domain understanding of participants.

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Kusuma, I. Made Cantiawan Giri, and Cokorda Rai Adi Pramartha. "Ontology Development for Motorcycle Semantic Knowledge Representation." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 9, no. 2 (November 22, 2020): 177. http://dx.doi.org/10.24843/jlk.2020.v09.i02.p03.

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Transportation is currently a basic necessity in supporting daily life, starting from supporting economic activities and various other things. One of the most commonly used means of transportation is a motorcycle because it is very practical to use. However, the development of motorcycles is currently very fast, confusing the community in choosing a motorcycle that suits their needs. The solution used to overcome this problem can be overcome by using the concept of semantic ontology. The method of building the ontology model used is METHONTOLOGY. This method is one of the methods of building an ontology model that can reuse the built ontology for further system development. The motorcycle ontology development model generates 16 classes, 13 object properties, 11 data properties, and 69 individuals. The ontology evaluation process by performing SPARQL queries also provides appropriate results.

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Park, Min-jun. "Towards Ontology-based Metaphorical Meaning Representation." Journal of Chinese Language and Literature 109 (April 30, 2018): 171–94. http://dx.doi.org/10.25021/jcll.2018.04.109.171.

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Srimathi, H. "Knowledge Representation of LMS using Ontology." International Journal of Computer Applications 6, no. 3 (September 10, 2010): 35–38. http://dx.doi.org/10.5120/1058-1380.

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Stevens, R. "Ontology-based knowledge representation for bioinformatics." Briefings in Bioinformatics 1, no. 4 (January 1, 2000): 398–414. http://dx.doi.org/10.1093/bib/1.4.398.

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Kim, Kyoung-Yun. "Ontology and Assembly Joint Topology Representation." Computer-Aided Design and Applications 5, no. 5 (January 2008): 630–38. http://dx.doi.org/10.3722/cadaps.2008.630-638.

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Sensoy, Murat, and Pinar Yolum. "Ontology-Based Service Representation and Selection." IEEE Transactions on Knowledge and Data Engineering 19, no. 8 (August 2007): 1102–15. http://dx.doi.org/10.1109/tkde.2007.1045.

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Vatter, Miguel. "Political ontology, constituent power, and representation." Critical Review of International Social and Political Philosophy 18, no. 6 (October 11, 2015): 679–86. http://dx.doi.org/10.1080/13698230.2015.1092663.

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Bobillo, Fernando, and Umberto Straccia. "Fuzzy ontology representation using OWL 2." International Journal of Approximate Reasoning 52, no. 7 (October 2011): 1073–94. http://dx.doi.org/10.1016/j.ijar.2011.05.003.

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Coiera, Enrico. "The qualitative representation of physical systems." Knowledge Engineering Review 7, no. 1 (March 1992): 55–77. http://dx.doi.org/10.1017/s0269888900006159.

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AbstractThe representation of physical systems using qualitative formalisms is examined in this review, with an emphasis on recent developments in the area. The push to develop reasoning systems incorporating deep knowledge originally focused on naive physical representations, but has now shifted to more formal ones based on qualitative mathematics. The qualitative differential constraint formalism used in systems like QSIM is examined, and current efforts to link this to competing representations like Qualitative Process Theory are noted. Inference and representation are intertwined, and the decision to represent notions like causality explicitly, or infer it from other properties, has shifted as the field has developed. The evolution of causal and functional representations is thus examined. Finally, a growing body of work that allows reasoning systems to utilize multiple representations of a system is identified. Dimensions along which multiple model hierarchies could be constructed are examined, including mode of behaviour, granularity, ontology, and representational depth.

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Benčin, Rok. "Rethinking Representation in Ontology and Aesthetics via Badiou and Rancière." Theory, Culture & Society 36, no. 5 (November 6, 2018): 95–112. http://dx.doi.org/10.1177/0263276418806573.

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The essay discusses a significant shift in conceptualizing the notion of representation found in Alain Badiou’s ontology and Jacques Rancière’s aesthetics. From Heidegger to Deleuze, the artwork was able to express an ontological truth about the world on the condition that it does not represent it. Badiou’s ‘subtractive’ approach to ontology and Rancière’s redefinition of the modern aesthetic break with representation, however, suggest that there is nothing to express beyond the veil of representation. Instead, representation can only be counteracted by the occurrence of surplus representations that subvert the principles of the dominant regime of representation. The essay provides an understanding of this shift by reversing the Leibnizian conceptual metaphor Adorno used to describe the modern artwork. Unlike ‘windowless monads’, whose seclusion from the world enables them to convey an ontological truth, artworks as ‘monadless windows’ reframe the parameters of what is perceived as reality.

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Chansanam, Wirapong, Kulthida Tuamsuk, Kanyarat Kwiecien, Kittiya Sutthiprapa, and Thepchai Supnithi. "Thai Tattoo Wisdom’s Representation of Knowledge by Ontology." Informatics 8, no. 1 (January 21, 2021): 3. http://dx.doi.org/10.3390/informatics8010003.

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Sak Yan Ontology (SYO) models knowledge derived from Thai tattoos in the design of cultural heritage preservation planning. Ontology Development 101 is a technique of ontology model creation. The aims of this study are to share the performance of ontology development and ontology evaluation. The study is specifically focused on validation from domain experts and automation evaluated using the OOPS! tools (OntOlogy Pitfall Scanner is a tool that helps detect some of the most common pitfalls appearing when developing ontologies). The results obtained from OOPS! show that SYO is devoid of critical errors; however, it does have one critical, three important, and three minor problems. Four of the problems are fixed, whereas the others are continuous. The combination of automatic and human validation methodologies improves the quality of the ontology being modeled. The tools enhance the traditional methodology with quicker, easier, and smaller amounts of subjective analysis. In conclusion, for the reparation movement, solutions for the above problems are suggested.

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Li, Ting Shun, and Ling Na Meng. "Research on the Construction Method of Ontology Knowledge Base in Smart Grid Based on Dynamic Description Logic." Applied Mechanics and Materials 494-495 (February 2014): 1636–39. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1636.

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With the principle of dynamic description logic, which introduces the concept of grid domain ontologys knowledge representation, a system is built that can be shared by each businesses ontology knowledge base in smart grid. First, combine attributive concept language with complements language using dynamic description logic with ALC language to build a smart grid domain ontology. And then use the ontology knowledge to build the final ontology knowledge base that can greatly improve the efficiency of information query and clearly express the basic concepts, properties, processing methods and internal relations of the smart grid domain knowledge, which is conducive to promote China's smart grid construction.

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Mukhopadhyay, Alolika, and Farhad Ameri. "An ontological approach to engineering requirement representation and analysis." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30, no. 4 (October 4, 2016): 337–52. http://dx.doi.org/10.1017/s0890060416000330.

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AbstractRequirement planning is one of the most critical tasks in the product development process. Despite its significant impact on the outcomes of the design process, engineering requirement planning is often conducted in an ad hoc manner without much structure. In particular, the requirement planning phase suffers from a lack of quantifiable measures for evaluating the quality of the generated requirements and also a lack of structure and formality in representing engineering requirements. The main objective of this research is to develop a formal Web Ontology Language ontology for standard representation of engineering requirements. The proposed ontology uses explicit semantics that makes the ontology amenable to automated reasoning. To demonstrate how the proposed ontology can support requirement analysis and evaluation in engineering design, three possible services enabled by the ontology are introduced in this paper. These services are information content measurement, specificity and completeness analysis, and requirement classification. The proposed ontology and its associated algorithms and tools are validated experimentally in this work.

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Yowe, Samson Cornelius Gele, and I. Gede Santi Astawa. "Ontology-based Approach for Laptop Semantic Knowledge Representation." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 9, no. 4 (May 29, 2021): 485. http://dx.doi.org/10.24843/jlk.2021.v09.i04.p05.

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The rapid development of technology requires everyone to adapt. It is the same as the demands of work and school so that everyone should be more able to handle this problem. It is inevitable that the use of laptops today is not something that is a step. Almost all age groups use laptops to do school work, complete office work, or as a medium of entertainment. With so many types of laptops, some people are confused about choosing a laptop. The use of ontology as an information representation technique is a solution to this problem. Ontology can present information or knowledge sources semantically and organize various information resources in a systematic and structured manner. In the development of this ontology will be made using the methontology method. Methontology is one of the ontology model development methodologies which has advantages related to a detailed description of each activity. In addition, methontology also has other advantages, namely the development of ontology that are now made usable for further system development. Therefore, this study is proposed to build an ontology model that represents knowledge about laptops.

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Malik, Nidhi, Deena Hijam, and Aditi Sharan. "Ontology based knowledge representation: Case study from agriculture domain." International Journal of Knowledge-based and Intelligent Engineering Systems 25, no. 1 (April 9, 2021): 97–108. http://dx.doi.org/10.3233/kes-210055.

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The growth of web has touched everyone’s life from an economist, entrepreneur, and academician to a farmer. The agriculture sector is quite important for any country’s growth. Farmers can also be benefited if they are provided with relevant information they need. The reason that it is not happening on a large scale is due to many reasons. Information is available in different formats, platforms and it is highly unstructured. The availability and real time usage of this information is prohibited mainly by the way it is represented. Recently, Ontology has emerged as one of very expressive knowledge representation scheme which enables gathering information from heterogeneous sources and creates a common data model that is shared and agreed upon in diverse domains. The interoperability and deduction capabilities that Ontology offers are very useful for generating new knowledge. Most of the work pertaining to ontology development in agriculture domain is crop specific, where information about fertilizers is confined to a particular crop only. In this paper, we have designed and developed a generic ontology for fertilizers. Fertilizer itself is a concept which should be modeled independently. Even for crop specific ontology, fertilizer is one of the most important concept to be captured. So, it needs to be represented independently. Finding this research gap, an ontology in fertilizer subdomain is developed, taking into account the various issues that are faced while constructing an ontology and the enormous amount of data that is available but is not easy to structure and present in the form of ontology. We have also validated the Ontology using an available tool and domain experts have also validated the developed Ontology.

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Zhang, Min Hui, and Jian Yang. "A Novel Semantic Ontology Modeling Method." Applied Mechanics and Materials 510 (February 2014): 271–77. http://dx.doi.org/10.4028/www.scientific.net/amm.510.271.

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To solve the semantic representation in data integration system, a novel ontology modeling method was proposed. The relationship between deferent layers including the core ontology layer, the role ontology layer, the goal ontology layer, service ontology layer and the mediator ontology layer in the ontology framework was analyzed, and the implement specification of each layer was given based on UML specification. Experimental result shows that proposed method can improve the degree of accuracy of semantic representation, and has the advantage of good adaptability for structure instability and difference in user needs in the grid computing.

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VASILAKIS, GEORGE, ALEJANDRA GARCIA-ROJAS, LAURA PAPALEO, CHIARA E. CATALANO, FRANCESCO ROBBIANO, MICHELA SPAGNUOLO, MANOLIS VAVALIS, and MARIOS PITIKAKIS. "KNOWLEDGE-BASED REPRESENTATION OF 3D MEDIA." International Journal of Software Engineering and Knowledge Engineering 20, no. 05 (August 2010): 739–60. http://dx.doi.org/10.1142/s0218194010004773.

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In recent years, 3D media have become more and more widespread and have been made available in numerous online repositories. A systematic and formal approach for representing and organizing shape-related information is needed to share 3D media, to communicate the knowledge associated to shape modeling processes and to facilitate its reuse in useful cross-domain usage scenarios. In this paper we present an initial attempt to formalize an ontology for digital shapes, called the Common Shape Ontology (CSO). We discuss about the rationale, the requirements and the scope of this ontology, we present in detail its structure and describe the most relevant choices related to its development. Finally, we show how the CSO conceptualization is used in domain-specific application scenarios.

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Segev, Aviv. "Adaptive Ontology Use for Crisis Knowledge Representation." International Journal of Information Systems for Crisis Response and Management 1, no. 2 (April 2009): 16–30. http://dx.doi.org/10.4018/jiscrm.2009040102.

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ZHONG, Xiu-Qin, Hong-Guang FU, Li SHE, and Bin HUANG. "Geometry Knowledge Acquisition and Representation on Ontology." Chinese Journal of Computers 33, no. 1 (April 22, 2010): 167–74. http://dx.doi.org/10.3724/sp.j.1016.2010.00167.

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Everett, William A. "The Musical Representation: Meaning, Ontology, and Emotion." European Legacy 19, no. 7 (October 2, 2014): 928–30. http://dx.doi.org/10.1080/10848770.2014.965517.

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Ibekwe-SanJuan, Fidelia. "Workshop on Terminology, Ontology and Knowledge Representation." Terminology 10, no. 2 (December 14, 2004): 333–35. http://dx.doi.org/10.1075/term.10.2.15ibe.

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Ropolyi, László. "Virtuality and Reality—Toward a Representation Ontology." Philosophies 1, no. 1 (November 23, 2015): 40–54. http://dx.doi.org/10.3390/philosophies1010040.

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Elias, Mirette, Steffen Lohmann, and Sören Auer. "Ontology-Based Representation for Accessible OpenCourseWare Systems." Information 9, no. 12 (November 29, 2018): 302. http://dx.doi.org/10.3390/info9120302.

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OpenCourseWare (OCW) systems have been established to provide open educational resources that are accessible by anyone, including learners with special accessibility needs and preferences. We need to find a formal and interoperable way to describe these preferences in order to use them in OCW systems and retrieve relevant educational resources. This formal representation should use standard accessibility definitions of OCW that can be reused by other OCW systems to represent accessibility concepts. In this article, we present an ontology to represent the accessibility needs of learners with respect to the IMS AfA specifications. The ontology definitions together with rule-based queries are used to retrieve relevant educational resources. Related to this, we developed a user interface component that enables users to create accessibility profiles representing their individual needs and preferences based on our ontology. We evaluated the approach with five examples profiles.

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Guarino, Nicola. "Formal ontology, conceptual analysis and knowledge representation." International Journal of Human-Computer Studies 43, no. 5-6 (November 1995): 625–40. http://dx.doi.org/10.1006/ijhc.1995.1066.

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Sanfilippo, Emilio M., Farouk Belkadi, and Alain Bernard. "Ontology-based knowledge representation for additive manufacturing." Computers in Industry 109 (August 2019): 182–94. http://dx.doi.org/10.1016/j.compind.2019.03.006.

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Gaudet, Pascale, Colin Logie, Ruth C. Lovering, Martin Kuiper, Astrid Lægreid, and Paul D. Thomas. "Gene Ontology representation for transcription factor functions." Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms 1864, no. 11-12 (November 2021): 194752. http://dx.doi.org/10.1016/j.bbagrm.2021.194752.

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Yu, Ting Ting, and Hong Xia Cai. "Process Knowledge Representation of Aircraft Assembly Based on Ontology." Advanced Materials Research 1039 (October 2014): 456–61. http://dx.doi.org/10.4028/www.scientific.net/amr.1039.456.

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In aviation industry, it’s urgent to build a scientific and effective knowledge system with high scalability to change the fact that the data is rich while the knowledge is deficient. We constructed the knowledge ontology of aircraft assembly with cyclic acquisition and seven step methods based on ontology thought. Then, we obtained the potential relationship related to process and abstract process ontology through logic reasoning. Finally, OWL is applied for ontology formal description to realize knowledge standardization and normalization. It’s meaningful to reuse, share the assembly process knowledge and further reasoning in the aviation field.

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Song, Hua Zhu, Khamis Abdul Latif Khamis, Yong Jian Liu, and Luo Zhong. "Representation of Ontology Based Model within the Visual Stock Information System." Applied Mechanics and Materials 475-476 (December 2013): 767–70. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.767.

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This paper tries to figure out the designing requirement of the ontology model based on visual stock information system; it demonstrates the prototype architecture of Ontology domain and ontology languages such as RDF/RDFs and OWL. These ontology languages were then used to identify the stock domain, define the semantic classes, relations, instances of relations and structure the stock vocabulary data into a meaningful domain of information. The proposed ontology model architecture will be able to observe the vocabularies of stock data by categorizing the Domain of classes and build Ontology solutions based on stocks transaction and historical data for the selected companies

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Ming, Zhenjun, Yan Yan, Guoxin Wang, Jitesh H. Panchal, Chung-Hyun Goh, Janet K. Allen, and Farrokh Mistree. "Ontology-based executable design decision template representation and reuse." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30, no. 4 (October 4, 2016): 390–405. http://dx.doi.org/10.1017/s0890060416000378.

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AbstractIn decision-based design, the principal role of a designer is to make decisions. Decision support is crucial to augment this role. In this paper, we present an ontology that provides decision support from both the “construct” and the “information” perspectives that address the gap that existing research focus on these two perspectives separately and cannot provide effective decision support. The decision support construct in the ontology is the compromise decision support problem (cDSP) that is used to make multiobjective design decisions. The information for decision making is archived as cDSP templates and represented using frame-based ontology for facilitating reuse, consistency maintaining, and rapid execution. In order to facilitate designers’ effective reuse of the populated cDSP templates ontology instances, we identified three types of modification that can be made when design consideration evolves. In our earlier work, part of the utilization (consistency checking) of the ontology has been demonstrated through a thin-walled pressure vessel redesign example. In this paper, we comprehensively present the ontology utilization including consistency checking, trade-off analysis, and design space visualization based on the pressure vessel example.

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Deng, Ju Li, Ya Hua Chen, and Guo Rong Chen. "Research on the Fault Diagnosis Knowledge Representation and Application Method Based on Ontology." Advanced Materials Research 305 (July 2011): 243–46. http://dx.doi.org/10.4028/www.scientific.net/amr.305.243.

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The historical records of mechanical fault contain great amount of important information which is useful to identify the similar fault, but the structural representation and the knowledge reasoning problem are troubled that we use the historical records effectively. Aiming at the problem, the fault knowledge representation based on ontology is put forward out. Firstly, the knowledge characteristics, the ontology building significance and principle of fault are analyzed. Secondly, the fault ontology is defined and described. Finally, the applications of fault diagnosis ontology are studied in protégé. The case study shows that the fault knowledge representation based on ontology is very intuitive and efficient; it can provide us a novel way to deal with the fault diagnosis problem.

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Zhang, Ying Zhong, and Xiao Fang Luo. "Design Meta-Intent Representation and Semantic Annotation." Key Engineering Materials 450 (November 2010): 453–56. http://dx.doi.org/10.4028/www.scientific.net/kem.450.453.

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The parametric feature-based modeling systems can express design intent at high-level. But they usually lack representations for explaining why the feature is selected, what its design purpose and source are. This paper integrates the design intent object with design rationale and proposes an ontology-based representation framework for design meta-intent information. An approach to ontology instantiation for design intent objects and meta-intent properties by semantic annotating is presented. In order to improve the annotating efficiency the methods to automatically capture the design meta-intent information are also discussed. Based on above approaches the design meat-intent information can be naturally and effectively constructed during design process.

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Zhang, Ying, and Gui Fen Chen. "Research of Maize Field Knowledge Representation Building Based on Ontology." Advanced Materials Research 546-547 (July 2012): 441–45. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.441.

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The knowledge representation of the traditional artificial intelligence used different modeling methods and the different development tools, it led to the lack of interoperability between all kinds of knowledge, ontology solved the problem. Ontology, which is a model in semantic and knowledge hierarchy describing the concept and the relationship between the concepts, has been the focus of the field of artificial intelligence since it was proposed. This paper explored the knowledge representation based on ontology in the field of artificial intelligence, built the maize domain knowledge ontology, the result shows: ontology can effectively solve the heterogeneous problem of expression of complex knowledge, makes the computer to understand information for the semantic level, and benefit to develop the intelligent systems of maize.

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Yun, Hongyan, Jianliang Xu, Jing Xiong, and Moji Wei. "A Knowledge Engineering Approach to Develop Domain Ontology." International Journal of Distance Education Technologies 9, no. 1 (January 2011): 57–71. http://dx.doi.org/10.4018/jdet.2011010104.

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Ontologies are one of the most popular and widespread means of knowledge representation and reuse. A few research groups have proposed a series of methodologies for developing their own standard ontologies. However, because this ontological construction concerns special fields, there is no standard method to build domain ontology. In this paper, based on discussing and analyzing representative ontology building methodologies, the authors propose a knowledge engineering approach to build domain ontology by combining software development life cycle standard IEEE 1074-2006 with design ontology criteria proposed by T. R. Gruber. The authors use the ontology editor Hozo to develop a marine biology ontology for an e-learning course. They verify the validity and rationality of marine biology ontology by applying it to a practical system called OASIS. The authors then demonstrate the applicability of their proposed knowledge engineering approach.

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Warrender, Jennifer D., Anthony V. Moorman, and Phillip Lord. "A fully computational and reasonable representation for karyotypes." Bioinformatics 35, no. 24 (June 22, 2019): 5264–70. http://dx.doi.org/10.1093/bioinformatics/btz440.

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Abstract Summary The human karyotype has been used as a mechanism for describing and detecting gross abnormalities in the genome for many decades. It is used both for routine diagnostic purposes and for research to further our understanding of the causes of disease. Despite these important applications there has been no rigorous computational representation of the karyotype; rather an informal, string-based representation is used, making it hard to check, organize and search data of this form. In this article, we describe our use of OWL, the Ontology Web Language, to generate a fully computational representation of the karyotype; the development of this ontology represents a significant advance from the traditional bioinformatics use for tagging and navigation and has necessitated the development of a new ontology development environment called Tawny-OWL. Availability and implementation The Karyotype Ontology and associated Tawny-OWL source code is available on GitHub at https://github.com/jaydchan/tawny-karyotype, under a LGPL License, Version 3.0.

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Sun, Li Li, Feng He, and Xiao Li Meng. "BPMO-Based OWL Representation of Business Processes." Advanced Materials Research 546-547 (July 2012): 651–55. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.651.

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Semantic process modeling approaches are used in modelling, making use of the process ontology, which is the preferred BPMO. In the process of semantically modeling, using ontology to describe the business process is an important step. Therefore, the text proposed for BPMO-based OWL representation of business process, lays the foundation for resolving issues, such as semantic annotation, machine-understandable, and reasoning on business process. We will put forward the construction and representation of our business process knowledge; examine the workshop business process activities; according to business rules, describe business processes on the basis of the BPMO; represent BPMO-based process on the basis of ontology modeling language OWL; model the process on the foundation of softeware BPMO Modeller. Workshop product packaging as an example, we will verify business processes based on BPMO methods.

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Zhang, Jian, Fei Feng, Yu Liu, and Nan Wang. "Research on Building Salt Lake Domain Ontology Based on Process-Oriented." Applied Mechanics and Materials 336-338 (July 2013): 2175–81. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2175.

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Recent research on knowledge representation demonstrated that the more clearly domain concepts, the higher accuracy of the information extraction. Accounting that the ontology with an advantage in the aspects of the concept representation, it can be introduced to the Salt Lake domain to construct the domain ontology, and will convenience for the future of information extraction and retrieval. The main contribution of this paper is to propose a process-oriented domain ontology construction method which through comparative analysis of the domestic and international typical domain ontology construction method, and combined with the characteristics of the Salt Lake field, not only more comprehensive representation of the characteristics of the domain, but also has better logic and relevance.

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Tai, Li Jun, Ru Fu Hu, and Han Zhao. "The Study and Application of Knowledge Management System of Manufacture Enterprise under Collaborative Manufacturing." Applied Mechanics and Materials 109 (October 2011): 462–65. http://dx.doi.org/10.4028/www.scientific.net/amm.109.462.

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Under collaborative manufacturing the knowledge of manufacture enterprise is regard as representative knowledge resource．The knowledge class of manufacture enterprise is analyzed．In order to content to the requirement of representation of knowledge under network, a knowledge representation model，which combine the topic map with ontology, is presented．The document knowledge abstraction process is defined .An knowledge management system of farm automobile enterprise(NYKWS) is developed.

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Terkaj, Walter, and Aleksandra Šojić. "Ontology-based representation of IFC EXPRESS rules: An enhancement of the ifcOWL ontology." Automation in Construction 57 (September 2015): 188–201. http://dx.doi.org/10.1016/j.autcon.2015.04.010.

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