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2020

Ontology

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Full-Text Articles in Engineering

Model-Based Approach For Product Requirement Representation And Generation In Product Lifecycle Management, Omer Yaman Dec 2020

Model-Based Approach For Product Requirement Representation And Generation In Product Lifecycle Management, Omer Yaman

Dissertations - ALL

The requirement specification is an official documentation activity, which is a collection of certain information to specify the product and its life-cycle activities in terms of functions, features, performance, constraints, production, maintenance, disposal process, etc. It contains mainly two phases; product requirement generation and representation. Appropriate criteria for the product design and further life-cycle activities are determined based on the requirement specification as well as the interrelations of product requirements with other life-cycle information such as; materials, manufacturing, working environments, finance, and regulations. The determination of these criteria is normally error-prone. It is difficult to identify and maintain the completeness …


Application Of Domain Knowledge Representation In Simulation Tutoring For Weapon Utilization, Zhang Chi, Danhua Peng, Kedi Huang Aug 2020

Application Of Domain Knowledge Representation In Simulation Tutoring For Weapon Utilization, Zhang Chi, Danhua Peng, Kedi Huang

Journal of System Simulation

Abstract: According to the requirements and characteristics of the simulation tutoring system for weapon utilization, a knowledge base depending on the domain ontology was designed. The knowledge for weapon utilization, the knowledge representation, and the method of knowledge representation were introduced. Through a combination of the ontology technology and various existing models, the key points of using specific weapon could be mastered by processing the date, information, and experience from expert. The conceptual model of knowledge was built. A knowledge base for weapon utilization was designed and implemented. The structure and function of the simulation tutoring system and rule-based expert …


Ontology-Driven Semantic Data Integration In Open Environment, Islam M. Ali Aug 2020

Ontology-Driven Semantic Data Integration In Open Environment, Islam M. Ali

Electronic Thesis and Dissertation Repository

Collaborative intelligence in the context of information management can be defined as "A shared intelligence that results from the collaboration between various information systems". In open environments, these collaborating information systems can be heterogeneous, dynamic and loosely-coupled. Information systems in open environment can also possess a certain degree of autonomy. The integration of data residing in various heterogeneous information systems is essential in order to drive the intelligence efficiently and accurately. Because of the heterogeneous, loosely-coupled, and dynamic nature of open environment, the integration between these information systems in the data level is not efficient. Several approaches and models have …


Scalable Semantic Web Services Architecture Design And Service Discovery, Xiaoxing Niu, Zhixue Wang, Minggang Yu Aug 2020

Scalable Semantic Web Services Architecture Design And Service Discovery, Xiaoxing Niu, Zhixue Wang, Minggang Yu

Journal of System Simulation

Abstract: With the rapid development of computer and network technologies, the variety and quantity of Web Services on the network is also increasing. How to find the requiring services quickly and accurately becomes increasingly important. In order to solve the problems with traditional Web Services architecture, such as poor scalability and lacking of semantic information, a scalable semantic Web Services architecture was proposed, the architecture could meet the requirements to construct distributed and large-scale systems based on SOA for modern enterprises. Service publication and deletion algorithms of the architecture were studied, and dynamic adjustment algorithms of the architecture was studied …


Research On Context-Aware Model Of Combat Processes, Qiaoyu Deng, He Ming, Zhixue Wang, Zhongwei Wang Aug 2020

Research On Context-Aware Model Of Combat Processes, Qiaoyu Deng, He Ming, Zhixue Wang, Zhongwei Wang

Journal of System Simulation

Abstract: In traditional joint operations, all collaborators make collaboration rules in advance to guide the operations. The unknown battlefield environment varies constantly, and military organizations must make adjustments to guarantee the combat operations order. A model of operational processes based on context awareness is built. The ontology theory is introduced to present the context. On the basis of event calculus, the analysis is carried out to the perceived context of combat processes, and the variation of organizations ability and the situation of processes are provided to guide the self-synchronizing decision-making.


Ontology Based Devs Modeling Method, Rong Gang, Xiao Jun, Yunping Hu, Yiping Feng Jul 2020

Ontology Based Devs Modeling Method, Rong Gang, Xiao Jun, Yunping Hu, Yiping Feng

Journal of System Simulation

Abstract: In the field of modeling and simulation, it’s difficult to reuse the models because the models and simulation system are coupled seriously. The Ontology-driven modeling theory is a simulation modeling methodology for model reuse. A new DEVS modeling method was proposed based on this theory. The DEVS modeling ontology DEVSMO was built and the DEVS model could be described as the instance of the DEVSMO. This form of DEVS model was independent of the DEVS simulation environment, which improved the model reusability. A tool was developed to translate the DEVSMO instance to DEVS executable models to verify the …


Semantic Knowledge Base Constructed From Chinese Online Encyclopedia, Liu Jian, Hongbo Xu, Huifeng Tang, Yantao Jia, Xueqi Cheng Jul 2020

Semantic Knowledge Base Constructed From Chinese Online Encyclopedia, Liu Jian, Hongbo Xu, Huifeng Tang, Yantao Jia, Xueqi Cheng

Journal of System Simulation

Abstract: The traditional construction methods about semantic knowledge base cost a lot of manpower and material resources. In addition, knowledge is difficult to acquire timely updates. In view of the deficiency, a new semantic representation model was put forward based on semantic ontology and hypergraph theory which was named dynamic knowledge network. Then, this model was described in detail, which included theoretical basis and model elements. Under the guidance of the model, the extraction methods and storage structure were studied about semantic knowledge. A Chinese semantic knowledge base was semi-automatic constructed using Chinese 360 Encyclopedia data which could efficiently provide …


Research On Ontology-Meta Modeling Method For Equipments Sos (System Of System) Combat Simulation, Zhang Shen, Haohua Xu, Jingye Wang Jun 2020

Research On Ontology-Meta Modeling Method For Equipments Sos (System Of System) Combat Simulation, Zhang Shen, Haohua Xu, Jingye Wang

Journal of System Simulation

Abstract: Aiming at the strict standard and difficulties of equipments SOS combat simulation modeling, an ontology-meta modeling method was put forward. Based on the analysis of equipments SOS combat, the basic notional units were abstracted: function unit, combat organize, combat maneuver, combat event, and combat environment, and the units mapping into UOPEE (unit, organization, proceeding, event and environment) which was a maturity and combined models collect, then constituted the descriptive UOPEE architecture with the UML method, obtaining the cyber-model architecture based on component designing and realizing method. This method makes the equipments SOS combat model easy to mapping and integration …


Research And Application Of Cloud Manufacturing Service Platform For Crane, Yang Chen, Zhongjie Wang, Zhaohui Liu, Nana Yu Jun 2020

Research And Application Of Cloud Manufacturing Service Platform For Crane, Yang Chen, Zhongjie Wang, Zhaohui Liu, Nana Yu

Journal of System Simulation

Abstract: Based on the research fruits of cloud manufacturing, the cloud manufacturing platform for crane was focused on. Based on the connotation analysis of the crane manufacturing, the key technologies of manufacturing resource access and cloud service modeling were discussed. A multi-level dynamic matching model and a comprehensive matching algorithm were proposed. The construction and testing of the cloud manufacturing platform was carried out, and the future works were given.


Business Process Modeling Algorithm Based On Ontology Language, Huang Ying, Kangshun Li, Li Wei, Keqing He Jun 2020

Business Process Modeling Algorithm Based On Ontology Language, Huang Ying, Kangshun Li, Li Wei, Keqing He

Journal of System Simulation

Abstract: In the view of problem in lack of information sharing mechanisms at the semantic level among processes, a business process modeling algorithm based on ontology language using concept hierarchy as background knowledge was proposed. The business process modeling by traditional business process languages can be transferred to ontology language (OWL) description so as to realize the semantic sharing of business process. The approach has two main advantages compared with traditional methods: (1) accelerating the building process, minimizing the conversion cost; (2) background knowledge guides the extraction of knowledge resided in database. As a way of validating the approach, part …


Ontological Boundaries Between Humans And Computers And The Implications For Human-Machine Communication, Andrea L. Guzman Feb 2020

Ontological Boundaries Between Humans And Computers And The Implications For Human-Machine Communication, Andrea L. Guzman

Human-Machine Communication

In human-machine communication, people interact with a communication partner that is of a different ontological nature from themselves. This study examines how people conceptualize ontological differences between humans and computers and the implications of these differences for human-machine communication. Findings based on data from qualitative interviews with 73 U.S. adults regarding disembodied artificial intelligence (AI) technologies (voice-based AI assistants, automated-writing software) show that people differentiate between humans and computers based on origin of being, degree of autonomy, status as tool/tool-user, level of intelligence, emotional capabilities, and inherent flaws. In addition, these ontological boundaries are becoming increasingly blurred as technologies emulate …


A Survey Of The Current State Of The Practice In Bridging The Gap Between Engineering Ontologies And Modeling Profiles For Engineering Applications, John Artus Jan 2020

A Survey Of The Current State Of The Practice In Bridging The Gap Between Engineering Ontologies And Modeling Profiles For Engineering Applications, John Artus

Open Access Theses & Dissertations

Model-Based Systems Engineering holds the promise of enhancing systems engineering tasks and product quality through better, more efficient exchange of data across tools, personnel, and departments, a higher quality of analysis resulting from greater access to cross-discipline data, better coordination between engineering activities and those of program management, and many other benefits. Yet, there is still no standardized method for achieving commonality of architecture vocabulary across projects, across, companies, across industries such that entities operating in the same domain produce products that speak the same technical language. Some specialized domains, such as the Department of Defense (DoD), have developed Architecture …


Developing An Ontology For Representing The Domain Knowledge Specific To Non-Pharmacological Treatment For Agitation In Dementia, Zhenyu Zhang, Ping Yu, H.C. Chang, S K. Lau, Cui Tao, Ning Wang, Mengyang Yin, Chao Deng Jan 2020

Developing An Ontology For Representing The Domain Knowledge Specific To Non-Pharmacological Treatment For Agitation In Dementia, Zhenyu Zhang, Ping Yu, H.C. Chang, S K. Lau, Cui Tao, Ning Wang, Mengyang Yin, Chao Deng

Faculty of Engineering and Information Sciences - Papers: Part B

Introduction: A large volume of clinical care data has been generated for managing agitation in dementia. However, the valuable information in these data has not been used effectively to generate insights for improving the quality of care. Application of artificial intelligence technologies offers us enormous opportunities to reuse these data. For health data science to achieve this, this study focuses on using ontology to coding clinical knowledge for non-pharmacological treatment of agitation in a machine-readable format. Methods: The resultant ontology—Dementia-Related Agitation Non-Pharmacological Treatment Ontology (DRANPTO)—was developed using a method adopted from the NeOn methodology. Results: DRANPTO consisted of 569 concepts …


Life Cycle Information Models With Parameter Uncertainty Analysis To Facilitate The Use Of Life-Cycle Assessment Outcomes In Pavement Design Decision-Making, Chaitanya Ganesh Bhat Jan 2020

Life Cycle Information Models With Parameter Uncertainty Analysis To Facilitate The Use Of Life-Cycle Assessment Outcomes In Pavement Design Decision-Making, Chaitanya Ganesh Bhat

Dissertations, Master's Theses and Master's Reports

The objective of this dissertation is to develop Life Cycle Information Models (LCIMs) to promote consistent and credible communication of potential environmental impacts quantified through Life-Cycle Assessment (LCA) methodology. The introduction of Life Cycle Information Models (LCIMs) will shift the focus of pavement LCA stakeholders to collect reliable foreground data and adapt to consistent background data present within LCIMs. LCA methodology requires significant Life Cycle Inventory (LCI) data to model real world systems and quantify potential environmental impacts. The lack of guidance in ISO standards on consistently compiling LCI data and defining protocols for modeling lowers the reliability of LCA …


Metadata Management For Clinical Data Integration, Ningzhou Zeng Jan 2020

Metadata Management For Clinical Data Integration, Ningzhou Zeng

Theses and Dissertations--Computer Science

Clinical data have been continuously collected and growing with the wide adoption of electronic health records (EHR). Clinical data have provided the foundation to facilitate state-of-art researches such as artificial intelligence in medicine. At the same time, it has become a challenge to integrate, access, and explore study-level patient data from large volumes of data from heterogeneous databases. Effective, fine-grained, cross-cohort data exploration, and semantically enabled approaches and systems are needed. To build semantically enabled systems, we need to leverage existing terminology systems and ontologies. Numerous ontologies have been developed recently and they play an important role in semantically enabled …


An Integrated View Of Data: Application Of Knowledge Modeling To Data Management, Sung-Kwan Kim, Wenjun Wang Jan 2020

An Integrated View Of Data: Application Of Knowledge Modeling To Data Management, Sung-Kwan Kim, Wenjun Wang

Journal of International Technology and Information Management

Data management has become an important challenge. Good data management requires an effective approach to collecting, storing, and accessing data across the enterprise. In this paper, a knowledge modeling approach to data management is introduced with an emphasis on data requirements analysis. A knowledge model can provide a high-level view of organizational data by specifying the structure and relationships of the knowledge contents used in business processes. The proposed knowledge modeling approach is business process oriented and decision oriented. The description of the knowledge contents in the model is based on ontological specification. The model is comprised of five elements: …