• Title/Summary/Keyword: Quality Ontology Model

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Evaluating Service Description to Guarantee Quality of U-service Ontology

  • Lee, Mee-Yeon;Lee, Jung-Won;Kim, Kyung-Ah;Park, Seung-Soo
    • Journal of Information Processing Systems
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    • v.7 no.2
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    • pp.287-298
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    • 2011
  • Efficient service description and modeling methodologies are essential for dynamic service composition to provide autonomous services for users in ubiquitous computing environments. In our previous research, we proposed a 'u-service' ontology which is an abstract and structured concept for device operations in ubiquitous environments. One of the problems that we faced during the design process was that there are not enough standards to analyze the effectiveness of a u-service ontology. In this paper, we propose a quality evaluation model to facilitate the design process of a uservice ontology. We extract modeling goals and evaluation indicators based on the uservice description specification. We also present quality metrics to quantify each of the design properties. The experiment result of the proposed quality model shows that we can use it to analyze the design of u-service ontology from various angles. Also, it shows that the model can provide a guideline, and offer appropriate recommendations for improvements.

A Study on Ontology Modeling for Weapon Parts Development Information (무기체계 부품국산화 정보의 온톨로지 구축방안 연구)

  • Jang, Woo Hyuk
    • Journal of Korea Multimedia Society
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    • v.18 no.7
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    • pp.873-885
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    • 2015
  • Today, It is difficult to search the various and numerous information efficiently. For this reason, Semantic Web emerged to provide searching services more easily through the structuring of a variety of unstructured format data and the definition of meaningful relationships between information. Especially, definition of relationship and meaning among resources is significant to share and infer related information. Ontology modeling plays just that role. Weapon parts development information is unstructured and dispersed all over. There are many difficulties in finding desired information, leading to getting improper outcomes. In this paper, we present an intuitive ontology model with weapon parts development information including the multi-dimensional information analysis and expansion of the relevant information. This study build up a ontology model through creating class and hierarchy about parts information and defining the properties of classes with Ontology Development 101[1] procedures using Protégé tools. The ontology model provides users with a platform on which search of needed information can be easy and efficient.

A Design-phase Quality Model for Ubiquitous Service Ontology (유비쿼터스 서비스 온톨로지를 위한 설계 품질 모델)

  • Lee, Mee-Yeon;Park, Seung-Soo;Lee, Jung-Won
    • Journal of KIISE:Software and Applications
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    • v.37 no.6
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    • pp.430-445
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    • 2010
  • Effective service description and modeling methodologies are essential for dynamic service composition to provide autonomous services for users in ubiquitous computing environments. In our previous research, we proposed a 'u-Service' as an abstract and structured concept for operations of devices in ubiquitous environments. In addition, we established the mechanism to structure u-Services as an ontology and the description specification to represent attributes of u-Services. However, it did not provide enough methods or standards to analyze and evaluate the effectiveness of the u-Service ontology in the design time. Since existing quality models for software products or computing systems cannot consider characteristics of ubiquitous services, they are not suitable for ubiquitous service ontology. Therefore, in this paper, we propose a quality evaluation model to design and modeling a good ubiquitous service ontology, based on our u-Service ontology building process. We extract modeling goals and evaluation indicators according to characteristics of ubiquitous service ontology, and establish quality metrics to quantify each quality sub-characteristics. The experiment result of the proposed quality evaluation model for u-Service ontologies which are constructed for our previous works shows that we can analyze the design of ubiquitous service ontology from various angles, and indicate recommendations for improvement.

A Web-Based Domain Ontology Construction Modelling and Application in the Wetland Domain

  • Xing, Jun;Han, Min
    • Journal of Korea Multimedia Society
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    • v.10 no.6
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    • pp.754-759
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    • 2007
  • Methodology of ontology building based on Web resources will not only reduce significantly the ontology construction period, but also enhance the quality of the ontology. Remarkable progress has been achieved in this regard, but they encounter similar difficulties, such as the Web data extraction and knowledge acquisition. This paper researches on the characteristics of ontology construction data, including dynamics, largeness, variation and openness and other features, and the fundamental issue of ontology construction - formalized representation method. Then, the key technologies used in and the difficulties with ontology construction are summarized. A software Model-OntoMaker (Ontology Maker) is designed. The model is innovative in two regards: (1) the improvement of generality: the meta learning machine will dynamically pick appropriate ontology learning methodologies for data of different domains, thus optimizing the results; (2) the merged processing of (semi-) structural and non-structural data. In addition, as known to all wetland researchers, information sharing is vital to wetland exploitation and protection, while wetland ontology construction is the basic task for information sharing. OntoMaker constructs the wetland ontologies, and the model in this work can also be referred to other environmental domains.

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Research on Ontology-based Task Adaptability Improvement for Digital Human Model (온톨로지 기반 디지털 휴먼모델의 작업 적응성 제고 방안 연구)

  • Kang, Su-Ho;Sohn, My-E
    • Korean Journal of Computational Design and Engineering
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    • v.17 no.2
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    • pp.79-90
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    • 2012
  • In digital virtual manufacturing simulation, Digital Human widely used to optimal workplace design, enhancing worker safety in the workplace, and improving product quality. However, the case of ergonomics simulation solutions to support digital human modeling, Optimal DHM (Digital Human Model) data needed to develop and perform DHM will collect information related to the production process. So simulation developer has burden of collecting information. In this study, to overcome the limitations of existing solutions, we proposed the ADAGIO(Automated Digital humAn model development for General assembly usIng Ontology) framework. The ADAGIO framework was developed for DHM ontology to support optimal deployment of digital virtual environment and in order to ensure consistency of simulation components that are required for simulation modeling was made of a library.

Development of MDA-based Subsurface Spatial Ontology Model for Semantic Sharing (시멘틱 공유를 위한 MDA기반 지하공간정보 온톨로지 모델 개발)

  • Lee, Sang-Hoon;Chang, Pyoung-Wuck
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.1
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    • pp.121-129
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    • 2009
  • Today, it is difficult to re-use and share spatial information, because of the explosive growth of heterogeneous information and specific characters of spatial information accumulated by diverse local agency. A spatial analysis of subsurface spatial informa-tion, one of the National Spatial Data Infrastructure, needs related spatial information such as, topographical map, geologic map, underground facility map, etc. However, current methods using standard format or spatial datawarehouse cannot consider a se-mantic hetergenity. In this paper, the layered ontology model which consists of generic concept, measuremnt scale, spatial model, and subsurface spatial information has developed. Also, the current ontology building method pertained to human experts is a expensive and time-consuming process. We have developed the MDA-based metamodel(UML Profile) of ontology that can be a easy under-standing and flexiblity of environment change. The semantic quality of devleoped ontology model has evaluated by reasoning engine, Pellet. We expect to improve a semantic sharing, and strengthen capacities for developing GIS experts system using knowledge representation ability of ontology.

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RDF Based UbiHome Architecture for Semantic Integration of Multimedia Information Source (멀티미디어 정보 의미 통합을 위한 RDF 기반 유비홈(UbiHome) 아키텍쳐)

  • Kim, Jae-Won;Choi, O-Hoon
    • Proceedings of the Korea Society for Simulation Conference
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    • 2005.11a
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    • pp.180-184
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    • 2005
  • These days, home network connects all home appliances using one of broadband convergence network, is constructed and propagated to more than 10 million house hold. Users can monitor and control statuses of home appliances using mobile terminal through homeserver. For active propagation of home network, high-quality multimedia service is very important. Specially, as digital recorder and digital camera is propagated, new paradigm that private DVDs can be shared in many household shows up. The homeserver is the main part of UbiHome, which can store much multimedia content and through which the user can search and share these contents. For searching and sharing, the metadata of contents is supposed to keep the consistency. These metadata include the description to different format such as Image, movie, and music. Therefore, we intend to provide a RDF model for effectively storing, searching and managing high-quality contents in UbiHome. In this paper, we propose to make Ontology to close semantic approach using RDF/RDF Schema for managing multimedia data in UbiHome. we propose RDF-Based Local Ontology and merging these ontology to RDF-Based Global Ontology.

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A Product Quality Prediction Model Using Real-Time Process Monitoring in Manufacturing Supply Chain (실시간 공정 모니터링을 통한 제품 품질 예측 모델 개발)

  • Oh, YeongGwang;Park, Haeseung;Yoo, Arm;Kim, Namhun;Kim, Younghak;Kim, Dongchul;Choi, JinUk;Yoon, Sung Ho;Yang, HeeJong
    • Journal of Korean Institute of Industrial Engineers
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    • v.39 no.4
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    • pp.271-277
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    • 2013
  • In spite of the emphasis on quality control in auto-industry, most of subcontract enterprises still lack a systematic in-process quality monitoring system for predicting the product/part quality for their customers. While their manufacturing processes have been getting automated and computer-controlled ever, there still exist many uncertain parameters and the process controls still rely on empirical works by a few skilled operators and quality experts. In this paper, a real-time product quality monitoring system for auto-manufacturing industry is presented to provide the systematic method of predicting product qualities from real-time production data. The proposed framework consists of a product quality ontology model for complex manufacturing supply chain environments, and a real-time quality prediction tool using support vector machine algorithm that enables the quality monitoring system to classify the product quality patterns from the in-process production data. A door trim production example is illustrated to verify the proposed quality prediction model.

Recommendation using Service Ontology based Context Awareness Modeling (서비스 온톨로지 기반의 상황인식 모델링을 이용한 추천)

  • Ryu, Joong-Kyung;Chung, Kyung-Yong;Kim, Jong-Hun;Rim, Kee-Wook;Lee, Jung-Hyun
    • The Journal of the Korea Contents Association
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    • v.11 no.2
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    • pp.22-30
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    • 2011
  • In the IT convergence environment changed with not only the quality but also the material abundance, it is the most crucial factor for the strategy of personalized recommendation services to investigate the context information. In this paper, we proposed the recommendation using the service ontology based context awareness modeling. The proposed method establishes a data acquisition model based on the OSGi framework and develops a context information model based on ontology in order to perform the device environment between different kinds of systems. In addition, the context information will be extracted and classified for implementing the recommendation system used for the context information model. This study develops the ontology based context awareness model using the context information and applies it to the recommendation of the collaborative filtering. The context awareness model reflects the information that selects services according to the context using the Naive Bayes classifier and provides it to users. To evaluate the performance of the proposed method, we conducted sample T-tests so as to verify usefulness. This evaluation found that the difference of satisfaction by service was statistically meaningful, and showed high satisfaction.

A Method based on Ontology for detecting errors in the Software Design (온톨로지 기반의 소프트웨어 설계에러검출방법)

  • Seo, Jin-Won;Kim, Young-Tae;Kong, Heon-Tag;Lim, Jae-Hyun;Kim, Chi-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.10
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    • pp.2676-2683
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    • 2009
  • The objective of this thesis is to improve the quality of a software product based on the enhancement of a software design quality using a better error detecting method. Also, this thesis is based on a software design method called as MOA(Methodology for Object to Agents) which uses an ontology based ODES(A Method based on Ontology for Detecting Errors in the Software Design) model as a common information model. At this thesis, a new format of error detecting method was defined. The method is implemented during a transformation process from UML model to ODES model using a ODES model, a Inter-View Inconsistency Detection technique and a combination of ontologic property of consistency framework and related rules. Transformation process to ODES model includes lexicon analysis and meaning analysis of a software design using of multiple mapping table at algorithm for the generation of ODES model instance.