• Title/Summary/Keyword: Ontology System

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Learning Tagging Ontology from Large Tagging Data (대규모 태깅 데이터를 이용한 태깅 온톨로지 학습)

  • Kang, Sin-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.2
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    • pp.157-162
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    • 2008
  • This paper presents a learning method of tagging ontology using large tagging data such as a folksonomy, which stands for classification structure informally created by the people. There is no common agreement about the semantics of a tagging, and most social web sites internally use different methods to represent tagging information, obstructing interoperability between sites and the automated processing by software agents. To solve this problem, we need a tagging ontology, defined by analyzing intrinsic attributes of a tagging. Through several machine learning for tagging data, tag groups and similar user groups are extracted, and then used to learn the tagging ontology. A recommender system adopting the tagging ontology is also suggested as an applying field.

A Meta-Ontology for Automated Information Integration of Parts Libraries (부품 라이브러리 정보의 자동 통합을 위한 메타 온톨로지)

  • Cho, J.M.;Han, S.H.;Kim, H.
    • Korean Journal of Computational Design and Engineering
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    • v.11 no.4
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    • pp.273-288
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    • 2006
  • Information integration of heterogeneous digital parts libraries or electronic pars catalogs is one of issues in B2B procurements. We need to provide an integrated view for multiple information sources. Utilization of ontologies as the metadata descriptions of the information sources can provide an integrated view. However, in order to integrate independently developed ontologies, the mismatches among them should be resolved. In this paper, we propose an ontology of meta-concepts, i.e. meta-ontology. The meta-concepts play the role of vocabulary to describe the parts library ontologies and provide well-established ontological semantics that helps the ontology modelers to consistently identify parts library concepts and systematically structure them. Consequently, the meta-ontology reduces the differences in the way the parts knowledge is interpreted and ensures the mismatches are confined to manageable mis matches, so that a software program can merge automatically. Modeling ontologies of mold and die parts libraries for B2B e-commerce is taken as an example to show how to use the meta-ontology. We also discuss how a parts library mediation system can automatically merge the well-structured parts library ontologies.

Development of Standardized Korean Plant Ontology for International Harmonization of Environmental and Ecological Knowledge Bases (환경·생태 지식베이스의 국제적 조화를 위한 한국형 표준 식물 온톨로지 개발)

  • Eunjeong Ju;Hunjoo Lee
    • Journal of Environmental Health Sciences
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    • v.49 no.4
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    • pp.201-209
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    • 2023
  • Background: To describe domain knowledge consistently and precisely, the establishment of a controlled vocabulary, a so-called ontology, is essential. Internationally, the plant ontology (PO) in the ecology field has been developed for the anatomy and developmental stages of plants in English, Spanish, and Japanese, but there is no Korean version of the PO due to a lack of knowledge on standardization for Korean plants. Objectives: We aimed to establish a Korean plant ontology with core PO architectures. Methods: The latest ontology web language (OWL)-formatted raw version of the PO was collected from the PO consortium site. A formal workflow process and OWL file-handing tools for efficient Korean content development were conducted and executed. Results: The macro- and micro-perspective frameworks of the PO were presented by analyzing the upper model and the internal OWL-leveled physical structure, respectively. We developed and validated Korean knowledge content for a total of 1,957 classes included in the PO and transplanted them into an ontology modeling system. Conclusions: A Korean plant ontology was established for international harmonization through improved compatibility and data exchangeability with multilingual environmental and ecological knowledge bases.

Extraction of Military Ontology Using Six-Step Bottom-up Approach (6단계 상향식 방법에 의한 국방 온톨로지 추출)

  • Ra, Min-Young;Yang, Kyung-Yong
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.6
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    • pp.17-26
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    • 2009
  • In national defense, established information systems are mainly based on simple information processing, such as mass data query. They have thus lacked intelligent ability of information and knowledge representation ability. We therefore need the research about the construction of military ontology which is the main topic for knowledge construction. Military ontology can help us develop the intelligent national defense information system which can search and manage information efficiently. In this paper, we present the six-step bottom-up approach for military ontology extraction, then we apply this approach to one of military domain, called national defense educational training, and finally implement it using $Prot\acute{e}g\acute{e}$ which is one of the most useful ontology development tool.

Research on Ontology Constructing by Delphi Technique (with Modeling Micheogul Tourist Resort)

  • Kim, Young-Ick;Kim, Min-Cheol;Kang, Han-Seop
    • Proceedings of the CALSEC Conference
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    • 2005.03a
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    • pp.286-292
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    • 2005
  • Continual attempt to accumulate and apply information eventually gives birth to the concept of the 'Semantic Web'. Thus, the 'Semantic Web' can be defined as a product of mankind's desire to standardize information. A term of knowledge is used as information or data in computer science. These are regarded and are divided sometimes each other in terminologies that have similar meaning. If it is divided, knowledge is different from information. However, some kind of information in Knowledge Representation is called knowledge often if it can be expressed in computing system. Therefore, knowledge representation can talk as information representation. The purpose of the study is systematizing knowledge through knowledge representation that uses Delphi technique and ontology is designed by utilizing assistance editor called protege-2000 to construct semantic web environment's ontology. Level of interest regarding the construction and evaluation of search systems based on ontology is set to increase. If defined well, semantic can reflect human's thinking to knowledge information on web. Furthermore systematizes knowledge, search of information and comprehension about Jeju tour using present computer may be done intelligence.

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Management System of Characters for Storytelling by using Ontology (온톨로지를 이용한 스토리텔링 캐릭터 관리 시스템)

  • Ha, Yan
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.3
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    • pp.107-114
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    • 2008
  • In this paper, a management system of characters and roles for storytelling that is used for drama is proposed with ontology which is a key factor of semantic web. While there are few tools domestically, usage for storytelling with authoring tools is increasing outside. Especially, a study for the management system of characters. roles and casting is not performed. This study proposes a system to control a series of works related with them. It contributes to poor domestic environment of writing, which makes it systematically. Also, it applies semantic web technology by defining ontology.

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Ontology Design for Solver Reuse in Web Services Based Model Management Systems

  • Lee, Keun-Woo;Huh, Soon-Young
    • Proceedings of the KAIS Fall Conference
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    • 2003.11a
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    • pp.65-69
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    • 2003
  • As complex mathematical models are increasingly adopted for business decision-making, difficulties arise in reusing solvers (i.e., model solving algorithms) against diverse models and data sets and thus the collaboration among users (model/solver builders and decision makers) in multiple departments becomes very difficult. To facilitate the solver reuse, this paper adopts the Web services technologies as the base technologies for linking the solvers to the models, both of which are created on different modeling paradigms and different system platforms, in unified system architecture. Specifically, this paper focuses on designing an ontology that represents the interfacing semantics of the model-solver interactions in a general and standardized form. By referring to the ontology, a model management system (MMS) can autonomously suggest a set of compatible solvers and apply them to individual models even though the decision makers are not knowledgeable enough about all the details of the models and the solvers. Thus, this Web services based MMS would improve the reusability of the solvers by relieving the decision makers from the risk of erroneous application of a solver to syntactically and semantically incompatible models and the burden of considerable understanding of model and solver semantics.

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Measurement Criteria for Ontology Extraction Tools (온톨로지 자동추출도구의 기능적 성능 평가를 위한 평가지표의 개발 및 적용)

  • Park, Jin-Soo;Cho, Won-Chin;Rho, Sang-Kyu
    • Journal of Intelligence and Information Systems
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    • v.14 no.4
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    • pp.69-87
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    • 2008
  • The Web is evolving toward the Semantic Web. Ontologies are considered as a crucial component of the Semantic Web since it is the backbone of knowledge representation for this Web. However, most of these ontologies are still built manually. Manual building of an ontology is time-consuming activity which requires many resources. Consequently, the need for automatic ontology extraction tools has been increased for the last decade, and many tools have been developed for this purpose. Yet, there is no comprehensive framework for evaluating such tools. In this paper, we proposed a set of criteria for evaluating ontology extraction tools and carried out an experiment on four popular ontology extraction tools (i.e., OntoLT, Text-To-Onto, TERMINAE, and OntoBuilder) using our proposed evaluation framework. The proposed framework can be applied as a useful benchmark when developers want to develop ontology extraction tools.

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Query processing model for Internet ontology data change (인터넷 온톨로지 데이터 변화에 따른 질의 처리 모델 개발)

  • Oh, Sung-Kyun;Kim, Byung-gon
    • Journal of Digital Contents Society
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    • v.17 no.1
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    • pp.11-21
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    • 2016
  • To provide more efficient and exact search result, internet systems will rely more and more on semantic web. Ontology is one of the important methods for implementation of semantic web. Ontology is used to implement an explicit formal vocabularies to share. However, important problems rise when dealing with ontology. Ontologies are typically subject to change because they are living. In order to handle ontology data change situation, a version handling system is needed to keep track of changes. For example, the queries subject to the previous ontology may become inconsistent and must be updated according to the newest version of ontology. Although many research was done in this area, there are still many problems to overcome. In this paper, we propose class and property transition graph for query transformation. The graph is created when ontology data is changed and applied to query transformation.

A Study on the Ontology Languages and Application Systems for the Semantic Web (시맨틱웹을 위한 온톨로지 언어와 구현사례 연구)

  • Jeong, Do-Heon
    • Journal of Information Management
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    • v.34 no.3
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    • pp.87-109
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    • 2003
  • Continual attempts to accumulate and apply information eventually gave birth to the concept of the "Semantic Web". Thus, the "Semantic Web" can be defined as a product of mankind's desire to standardize information. At the same time, the term provides "a method that standardizes mankind's concept of linguistical expression", and can be noted as an effort to combine such methods into a standard web environment that may materialize to form a catalogue. This study introduced RDF schema, ontology languages for the semantic web, and ontology-based systems. The purpose of the study was to construct a system based on the semantic web environment's ontology by utilizing the ontology schema derived from the facettype Art and Architecture Thesaurus(AAT). The aforementioned ontology schema is based on the Web Ontology Language(OWL), which is being widely considered the standard ontology language for the W3C-centered semantic web environment.