Ontology Modeling of Aircraft Fault Knowledge

2012 ◽  
Vol 236-237 ◽  
pp. 350-355 ◽  
Author(s):  
Yang Zhou ◽  
Zhao Yang Zeng ◽  
Bin Tian ◽  
Zhi Yu Jia ◽  
Xiao Guo
Keyword(s):  
Knowledge Management ◽  
Software Engineering ◽  
Knowledge Representation ◽  
Construction Method ◽  
Knowledge Sources ◽  
Ontology Construction ◽  
Product Domain ◽  
Aviation Maintenance ◽  
Ontology Modeling ◽  
Representation Method

With consideration of the actual requirement of fault knowledge management in current aviation maintenance, ontology-based knowledge representation method of aircraft fault is studied. Knowledge sources of aircraft fault ontology are analyzed based on ontology modeling primitives. Ontology construction method of aircraft fault knowledge is proposed learning from software engineering and the essence of the existing ontology construction methodology. On the basis of the above study, aircraft fault ontology which is consist of Fault Core sub-ontology, Product domain sub-ontology, Case domain sub-ontology, and Diagnosis domain sub-ontology is build, and it represents aircraft fault knowledge completely and consistently, and also lays the foundation for knowledge management of aircraft fault.

Ontology-Based Knowledge Representation Model for E-Government

2011 ◽  
Vol 271-273 ◽  
pp. 281-284
Author(s):  
Ling Gai
Keyword(s):  
Knowledge Representation ◽  
Construction Method ◽  
Modeling Language ◽  
Ontology Construction ◽  
Ontology Modeling ◽  
Representation Model ◽  
Basic Concepts ◽  
Representation Method

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.

Studies on the Ontology-Based Composable Modeling Technology of Radar Countermeasure Test Simulation

2014 ◽  
Vol 571-572 ◽  
pp. 969-975
Author(s):  
Zhi Li ◽  
Hong Xia Zou ◽  
Yong Ming Gao
Keyword(s):  
Knowledge Management ◽  
Construction Method ◽  
Formal Description ◽  
Simulation And Modeling ◽  
Ontology Construction ◽  
Component Library ◽  
Modeling Technology ◽  
Radar Countermeasure

Aiming to realistic requirement to reusability and composability of radar countermeasure test simulation and modeling, the ontology construction method has been proposed by analyzing the influence of ontology in terms of knowledge management and formal description. The design of ontology-based component library and the solutions of composable modeling have been discussed, and the effectiveness has been validated by examples that the methods can satisfy the requirements of model reusability and simulation compos-ability in the field of radar countermeasure test simulation and modeling.

Research on Building Salt Lake Domain Ontology Based on Process-Oriented

2013 ◽  
Vol 336-338 ◽  
pp. 2175-2181
Author(s):  
Jian Zhang ◽  
Fei Feng ◽  
Yu Liu ◽  
Nan Wang
Keyword(s):  
Comparative Analysis ◽  
Knowledge Representation ◽  
Information Extraction ◽  
Salt Lake ◽  
Domain Ontology ◽  
Construction Method ◽  
Ontology Construction ◽  
Concept Representation ◽  
The Future ◽  
Process Oriented

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.

scholarly journals Knowledge extract and ontology construction method of assembly process text

2022 ◽  
Vol 355 ◽  
pp. 02029
Author(s):  
Yimin Du ◽  
Lingling Shi ◽  
Xiang Zhai ◽  
Hanqing Gong ◽  
Zhijing Zhang
Keyword(s):  
Knowledge Management ◽  
Personal Experience ◽  
Construction Method ◽  
Practical Case ◽  
Assembly Process ◽  
Manual Assembly ◽  
Ontology Construction ◽  
Automatic Construction ◽  
Rapid Construction ◽  
Product Assembly

The actual product assembly process mainly relies on manual assembly by workers, and the personal experience of workers is difficult to effectively reuse. Ontology as a knowledge management and expression tool is gradually applied in the field of assembly. However, the manual construction of the ontology is time-consuming and labor-intensive, and the automatic construction of the ontology requires a large number of corpora for training, both of which are difficult to obtain a good assembly case ontology. This paper proposes a method in which automatically extracts relevant knowledge from case assembly process files to generates case database and integrates ontology framework of assembly domain to construct ontology. It shows that the accuracy can be guaranteed on the basis of the rapid construction of case ontology. The feasibility of this method is proved by a practical case.

Ontology-Based Knowledge Management for Vehicle Design

2009 ◽  
Vol 626-627 ◽  
pp. 639-644
Author(s):  
Mei Zhang ◽  
Yan Yan ◽  
R.H. Wang ◽  
Jia Hao
Keyword(s):  
Knowledge Management ◽  
Knowledge Representation ◽  
Domain Ontology ◽  
Design Knowledge ◽  
Vehicle Design ◽  
Design Domain ◽  
Knowledge Retrieval ◽  
Ontology Construction ◽  
Development Tool

To utilize vehicle design knowledge reasonably and effectively, ontology is introduced in this paper and vehicle design domain ontology is constructed within three steps which are: extracting the significant terminologies and concepts in the field, establishing ontology framework, constructing vehicle design domain ontological relation tree combining development tool. According to the method, vehicle design ontological relation tree is built and evaluated through descriptive evaluation and verifiable evaluation. The results are applied in knowledge representation which adopts SVPO (Subject + Verb + Parameter + Object) mode and knowledge retrieval, the effectiveness of ontology is verified in our system. Finally the paper concluded a concurrent method of ontology construction.

scholarly journals Contrasting Ontology Modeling with Correlation Rules for Delivery Applications

2021 ◽  
Vol 102 ◽  
pp. 02002
Author(s):  
Dana Baro ◽  
Laura Neundörfer
Keyword(s):  
Knowledge Management ◽  
Knowledge Representation ◽  
Technical Communication ◽  
Specific Information ◽  
Semantic Metadata ◽  
Semantic Correlation ◽  
Ontology Modeling ◽  
Added Benefit ◽  
Correlation Rules ◽  
Information Objects

With the increasing importance of knowledge management, variant management and the ever-growing quantity of data, ontologies emerged as a form of knowledge representation, especially in the field of technical communication for modelling metadata and to create correlations between them. In the area of delivery applications, the deliverable information objects receive a certain intelligence by semantic metadata. It is expected, that ontologies offer a higher level of intelligence which could lead to an improvement in classification, connection and delivery possibilities of content. On the contrary, creating those complex ontologies requires a time-consuming effort. Thus, the question arises, whether their use offers a decisive added benefit or if alternatives, such as untyped correlations, should be preferred. In that case, the concept of Semantic Correlation Rules can offer an opportunity to derive advantages from ontologies: By defining which classifications are connected to others, it is possible to present content tailored to user-specific information requirements. By developing use cases, we aim to evaluate the required level of intelligence of the metadata resulting from its modeling method to achieve this goal.

The Role of Nonmonotonic Representations in Requirements Engineering

1998 ◽  
Vol 08 (03) ◽  
pp. 385-399 ◽  
Author(s):  
Grigoris Antoniou
Keyword(s):  
Software Engineering ◽  
Knowledge Representation ◽  
Requirements Engineering ◽  
Nonmonotonic Reasoning ◽  
Default Reasoning ◽  
Requirements Prioritization ◽  
Evolving System ◽  
System Requirements

This paper discusses the significance of nonmonotonic reasoning, a method from the knowledge representation area, to mainstream software engineering. In particular, we discuss why the use of defaults in specifications is an adequate way of addressing some of the most important problems in requirements engineering, such as: The problem of identifying and dealing with inconsistencies; evolving system requirements; requirements prioritization; and the quality of specifications with respect to naturalness and compactness. We argue that these problems need to be addressed in a principled, formal way, and that default reasoning provides adequate mechanisms to deal with them.

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