• Title, Summary, Keyword: Ontology

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Classification of Ontology Integration and Ontology-based Semantic Integration of PLM Object (온톨로지 통합 분류와 온톨로지 기반의 PLM Object 의미적 통합)

  • Kwak, Jung-Ae;Yong, Hwan-Seung;Choi, Sang-Su
    • Korean Journal of Computational Design and Engineering
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    • v.13 no.3
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    • pp.163-174
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    • 2008
  • In this paper, for integrating of data on car parts we model information of parts that PDM system manages. Ontology of car parts applies existing ontology mapping research to integrate into car ontology. We propose a method for semantic integration of PLM object of MEMPHIS based on the integrated ontology. Through our method, we introduce C# ontology model to apply existing C# applications with ontology. We also classify ontology integration into three through examples and explain them. While semantically integrating PLM objects based on the integrated ontology, we explain the need for change of PLM object type and describe the process of change for PLM object type by examples.

Efficient Ontology Object Model for Semantic Web (시맨틱웹을 위한 효율적인 온톨로지 객체 모델)

  • Yun Bo-Hyun;Seo Chang-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.2
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    • pp.7-13
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    • 2006
  • The advent of Semantic Web has generated several methods that can access the data on the web. Thus, it is necessary to handle the data by accessing the current web ontology as well as the existing knowledge base system. Web ontology languages are RDF(Resource Description Framework), DAML-OIL, OWL(Web Ontology Language), and so on. This paper presents the creation and the method of the ontology object model that can access, represent, and process the web ontology and the existing knowledge base. Unlike the existing access approach of web ontology using the model on memory constructed by each parser, we divide the model of web ontology into three layers such as frame-based ontology layer, generic ontology layer, and functional ontology layer. Generic ontology layer represents the common vocabulary among several domains and functional ontology layer contains the dependent vocabulary to each ontology respectively. Our model gets rid of the redundancy of the representation and enhances the reusability. Moreover, it can provide the easy representation of knowledge and the fast access of the model in the application.

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Ontology Construction Process and System (온톨로지 구축 프로세스와 시스템)

  • Lee, In-K.;Seo, Suk-T.;Jeong, Hye-C.;Hwang, Do-Sam;Kwon, Soon-H.
    • Journal of Korean Institute of Intelligent Systems
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    • v.16 no.6
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    • pp.721-729
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    • 2006
  • Numbers of research on ontology construction and its application are being done for knowledge and information processing using computers. But, the current ontology development methods and ontology construction tools are using in restricted field on propose. Therefore, proper ontology development processes and ontology construction tools on ontology characteristic are needed. In this paper, we propose ontology construction process(OntoProcess) that non-experts in specific field are able to construct ontology through conceptualization of knowledge and formalization of concepts from language resource. Beside, some problems may be occurred while numbers of people are working together to construct ontology: i)duplicated concept definition in conceptualization process of knowledge and ii)decreasing efficiency of ontology construction by short understanding about formal language and tool operation in formalization process. To solve the problems, we propose an ontology construction process for multiple developers (OntoProcess) using meta ontology. We develop an ontology construction system(OntoCS) based on proposed processes, and we show the efficiency of proposed processes and system from ontology construction experiment.

The Research for Ontology Repository Management (온톨로지 저장소 관리에 관한 연구)

  • Lee D.H.;Yang J.J.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • pp.124-127
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    • 2005
  • The increased use of ontologies fur knowledge sharing emerges in many applications where knowledge applicability plays a critical role. The trend demands the need for an infrastructure that allows management tools to use ontology more easily such as ontology editors, storing, integration and inference engines towards comprehensive ontology-based solutions. We call such an infrastructure as ontology repository. This paper designed ontology repository for scalable ontology data

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Ontology Parser Design for Speed Improvement of Ontology Parsing (온톨로지 파싱 속도향상을 위한 온톨로지 파서 설계)

  • Kim, Won-Pil;Kong, Hyun-Jang
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.4
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    • pp.96-101
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    • 2010
  • The core study of semantic web is the efficiency of ontology parsing. The ontology parsing and inference is based on the significant information retrieval which is the ultimate purpose of semantic web. However, most existing ontology writing tools were not processing the efficient ontology parsing. Therefore, we design the two steps ontology parser for extracting the all facts, are included in the ontology, more fast in this study. In the first step, the token extractor collects the all tokens of ontology and the triple extractor extracts the statements in the collected tokens. In conclusion, we confirm that which is designed in this study, processes the ontology parsing more faster than the existing ontology parsers.

A Study for the Generation of the Lightweight Ontologies (경량 온톨로지 생성 연구)

  • Han, Dong-Il;Kwon, Hyeong-In;Baek, Sun-Kyoung
    • Journal of Information Technology Services
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    • v.8 no.1
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    • pp.203-215
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    • 2009
  • This paper illustrates the application of co-occurrence theory to generate lightweight ontologies semi-automatically. The proposed model includes three steps of a (Semi-) Automatic creation of Ontology; (they are conceptually named as) the Syntactic-based Ontology, the Semantic-based Ontology and the Ontology Refinement. Each of these three steps are designed to interactively work together, so as to generate Lightweight Ontologies. The Syntactic-based Ontology step includes generating Association words using co-occurrence in web documents. The Semantic-based Ontology step includes the Alignment large Association words with small Ontology, through the process of semantic relations by contextual terms. Finally, the Ontology Refinement step includes the domain expert to refine the lightweight Ontologies. We also conducted a case study to generate lightweight ontologies in specific domains(news domain). In this paper, we found two directions including (1) employment co-occurrence theory to generate Syntactic-based Ontology automatically and (2) Alignment large Association words with small Ontology to generate lightweight ontologies semi-automatically. So far as the design and the generation of big Ontology is concerned, the proposed research will offer useful implications to the researchers and practitioners so as to improve the research level to the commercial use.

An Implementation of Inference-Based Web Ontology for Intelligent Image Retrieval System (지능형 이미지 검색 시스템을 위한 추론 기반의 웹 온톨로지 구축)

  • Kim, Su-Kyoung;Ahn, Kee-Hong
    • Journal of the Korean Society for information Management
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    • v.24 no.3
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    • pp.119-147
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    • 2007
  • Actually a diffusion of a semantic web application and utilization are situations insufficient extremely. Technology most important in semantic web application is construction of the ontology which contents itself with characteristics of semantic web. Proposed a suitable a method of building web ontology for characteristics or semantic web and web ontology as we compared the existing ontology construction ana ontology construction techniques proposed for web ontology construction, and we analyzed. And modeling old ontology to bases to description logic and the any axiom rule that used an expression way of SWRL, and established inference-based web ontology according to proposed ways. Verified performance of ontology established through ontology inference experiment. Also established an web ontology-based intelligence image retrieval system, to experiment systems for performance evaluation of established web ontology, and present an example of implementation of a semantic web application and utilization. Demonstrated excellence of a semantic web application to be based on ontology through inference experiment of an experiment system.

A Comparison of Ontology Tools Based on OWL (OWL 기반의 온톨로지 도구 비교분석)

  • Ihm, Hyoung-Shin;Hwang, Yun-Young;Eom, Dong-Myuong;Lee, Kyu-Chul
    • Korean Journal of Oriental Medicine
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    • v.12 no.1
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    • pp.1-12
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    • 2006
  • Recently according to the WIPO's policy of preserving traditional knowledge, constructing the database of traditional knowledge is in progress. To maximize the retrieving power of the knowledge resource systems which will be developed later, it is necessary to construct the ontology for the concepts used by traditional knowledge. In order to construct the ontology systematically, a standardized ontology representation method is needed, and OWL(Web Ontology Language) is the recommendation of W3C(World Wide Web Consortium) and is widely used. Ontology tools can be used to ease the construction of OWL ontology, but no research about the comparison of OWL ontology tools exists. This paper compares the tools of OWL by an objective point of view and with that one can make a decision of using the appropriate tool for constructing OWL ontologies.

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A Methodology for Construction of Ontology-based Product Knowledge Map (온톨로지 기반 제품 지식 맵 구축 방법론)

  • Park J.M.;Hahm G.J.;Suh H.W.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • pp.609-610
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    • 2006
  • This paper introduces a methodology for construction of ontology-based product knowledge Map. For CPC(Collaborative Product Commerce) environment, engineering application of ontology has been studied . However, there are no generic and comprehensive methodologies for ontology construction yet because of such problems: dependency on experience of ontologist and domain experts and insufficiency of detail stages or rules. To solve those problems, we propose a methodology to construct ontology from engineering documents in semi-automatic. We use middle-out strategy and term's axioms, sub-definitions, to build ontology map. 5-turple ontology structure, semantic network and First order logic (FOL) are used for ontology definition in this study.

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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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