• 제목/요약/키워드: Ontology Service

검색결과 365건 처리시간 0.203초

A Study on the Model of History Ontology: A Focus on Korean Modern Historical Person (역사용어 온톨로지 모형 적용 방안 연구 - 한국근현대사 인물을 중심으로 -)

  • Lee, Hye-Won;Yoon, So-Young
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • 제22권1호
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    • pp.263-280
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    • 2011
  • The purpose of the study is to construct a History Ontology Model for historical person to analyse issues of Korean History Thesaurus and interview history specialists who are use information systems in National Institute of Korean History. This study verifies the difference between both descriptions through comparative analysis of term concept in Korean History Thesaurus and mind-map written by history major. Based on this, we build history ontology model to meet users' information needs and adapt to information retrieval system. First, to organize unique features of history, we define class and attribute and then enlisted considerations for instance input. The study suggests a possibility of new service through combination multiple features using concept extension that is a strength of ontology.

Rule-based Semantic Search Techniques for Knowledge Commerce Services (지식 거래 서비스를 위한 규칙기반 시맨틱 검색 기법)

  • Song, Sung Kwang;Kim, Young Ji;Woo, Yong Tae
    • Journal of Korea Society of Digital Industry and Information Management
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    • 제6권1호
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    • pp.91-103
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    • 2010
  • This paper introduces efficient rule-based semantic search techniques to ontology-based knowledge commerce services. Primarily, the search techniques presented in this paper define rules of reasoning that are required for users to search using the concept of ontology, multiple characteristics, relations among concepts and data type. In addition, based on the defined rules, the rule-based reasoning techniques search ontology for knowledge commerce services. This paper explains the conversion rules of query which convert user's query language into semantic search words, and transitivity rules which enable users to search related tags, knowledge products and users. Rule-based sematic search techniques are also presented; these techniques comprise knowledge search modules that search ontology using validity examination of queries, query conversion modules for standardization and expansion of search words and rule-based reasoning. The techniques described in this paper can be applied to sematic knowledge search systems using tags, since transitivity reasoning, which uses tags, knowledge products, and relations among people, is possible. In addition, as related users can be searched using related tags, the techniques can also be employed to establish collaboration models or semantic communities.

Competence Ontology for Semantic Web Services Description (시맨틱 웹 서비스 기술을 위한 수행 온톨로지)

  • Oh, Ji-Hoon;Choi, Byeong-Seok;Jeong, Young-Sik;Joo, Su-Chong;Han, Sung-Kook
    • The KIPS Transactions:PartB
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    • 제11B권4호
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    • pp.457-464
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    • 2004
  • The Web Services descriptions such as DAML-S/OWL-S, BPEL4WS and WSMF focusing on the functional aspects of Web Services have limitations for the representation of the conceptual and semantic capabilities of Web Services, although WSMF is based on ontology and can represent the goal of Web Services. This paper proposes the new description formalism based on the competence ontology that can represent both functional and semantic aspects of Web Services. This paper also presents the integration and the composition of Web Services by means of Data Mediator(D-Mediator) and Control Mediator(C-Mediator) to mediate compositional in compatibility between heterogeneous Web Services.

A Study of Integration Modelling for Context-aware Service Based on Ontology (온톨로지 기반의 상황인지 서비스를 위한 통합 모델에 관한 연구)

  • Hwang, Chi-Gon;Yoon, Chang-Pyo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 한국정보통신학회 2015년도 춘계학술대회
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    • pp.253-255
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    • 2015
  • In a variety of network environments, the provision of context-aware services, it is difficult to integrate and share because of the heterogeneity problem between distributed data. This paper proposes the integration model using the ontology as a method for solving the above. This uses an ontology to integrate the context-aware informations that are collected. The ontology is generated by the acquisition, semantic analysis and inference of the metadata of the context-aware information. This is the basis of the analysis and analysis of the additional system. Accordingly, this paper studies ways to create an ontology and apply them. The advantage of the proposed scheme can be used without modifying the existing tools, it is possible to easily perform the expansion and consolidation of the system.

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Mining Association Rule on Service Data using Frequency and Weight (빈발도와 가중치를 이용한 서비스 연관 규칙 마이닝)

  • Hwang, Jeong Hee
    • Journal of Digital Contents Society
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    • 제17권2호
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    • pp.81-88
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    • 2016
  • The general frequent pattern mining considers frequency and support of items. To extract useful information, it is necessary to consider frequency and weight of items that reflects the changing of user interest as time passes. The suitable services considering time or location is requested by user so that the weighted mining method is necessary. We propose a method of weighted frequent pattern mining based on service ontology. The weight considering time and location is given to service items and it is applied to association rule mining method. The extracted rule is combined with stored service rule and it is based on timely service to offer for user.

A Situation Information Model based on Ontology in IoT Environment (IoT 환경에서 온톨로지 기반의 상황정보 모델)

  • Kim, Eunhoe;Suh, Yuhwa
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • 제10권5호
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    • pp.380-388
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    • 2017
  • The services of the IoT environment should constantly collect situation information, and perform appropriate actions according to the situation. Therefore, there is a need for a method that can express collected situation information. In this paper, we propose a situation information model based on ontology for IoT environment. Since the proposed model is ontology based, it supports semantic interoperability. We also build an upper-level ontology to model common situation information of various IoT domains. It is easy to understand and use because it expresses situation information consistently by expressing person, environment, and thing constituting IoT environment as class and defining properties indicating the situation. In addition, since the situation information need to reflect dynamic situation, it has a feature to model the creation time and the life time of the situation information so as to judge the validity of the information. The proposed ontology model is described using OWL, and the service can be described based on the constructed ontology.

A Study on Extracting Ontology from RDBMS Tables (RDBMS 테이블에서의 온톨로지 자동 추출에 관한 연구)

  • Lee, Ki-Jung;Whangbo, Taeg-Keun
    • Proceedings of the Korea Contents Association Conference
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    • 한국콘텐츠학회 2006년도 춘계 종합학술대회 논문집
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    • pp.125-127
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    • 2006
  • A number of museums and related parties have tangible heritage data and those data are collected by different types and formats. In these days, there are no service which connect each others so if a user wants to search a data, user have to log on certain homepage and search data. In general relational database systems have used for tangible heritage but sometime there is no ontology information for such relational database system. Therefore, for efficient searching of tangible heritage, we need a method which is extracting ontology information from relational database system. And we need a method which makes alignment between local ontologies extracted from relational database system and global ontology which has global information of tangible heritage. In this paper, we propose a system which can search tangible heritage efficiently using a method of extracting ontology from RDBMS and a method of aligning between local ontology and global ontology.

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Development of a Translator for Automatic Generation of Ubiquitous Metaservice Ontology (유비쿼터스 메타서비스 온톨로지 자동 생성을 위한 번역기 개발)

  • Lee, Mee-Yeon;Lee, Jung-Won;Park, Seung-Soo;Cho, We-Duke
    • Journal of the Korea Society of Computer and Information
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    • 제14권1호
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    • pp.191-203
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    • 2009
  • To provide dynamic services for users in ubiquitous computing environments by considering context in real-time, in our previous work we proposed Metaservice concept, the description specification and the process for building a Metaservice library. However, our previous process generates separated models - UML, OWL, OWL-S based models - from each step, so it did not provide the established method for translation between models. Moreover, it premises aid of experts in various ontology languages, ontology editing tools and the proposed Metaservice specification. In this paper, we design the translation process from domain ontology in OWL to Metaservice Library in OWL-S and develop a visual tool in order to enable non-experts to generate consistent models and to construct a Metaservice library. The purpose of the Metaservice Library translation process is to maintain consistency in all models and to automatically generate OWL-S code for Metaservice library by integrating existing OWL model and Metaservice model.

Dynamic Bayesian Network Modeling and Reasoning Based on Ontology for Occluded Object Recognition of Service Robot (서비스 로봇의 가려진 물체 인식을 위한 온톨로지 기반 동적 베이지안 네트워크 모델링 및 추론)

  • Song, Youn-Suk;Cho, Sung-Bae
    • Journal of KIISE:Computing Practices and Letters
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    • 제13권2호
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    • pp.100-109
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    • 2007
  • Object recognition of service robots is very important for most of services such as delivery, and errand. Conventional methods are based on the geometric models in static industrial environments, but they have limitations in indoor environments where the condition is changable and the movement of service robots occur because the interesting object can be occluded or small in the image according to their location. For solving these uncertain situations, in this paper, we propose the method that exploits observed objects as context information for predicting interesting one. For this, we propose the method for modeling domain knowledge in probabilistic frame by adopting Bayesian networks and ontology together, and creating knowledge model dynamically to extend reasoning models. We verify the performance of our method through the experiments and show the merit of inductive reasoning in the probabilistic model

Building Thesaurus for Science & Technology Domain Using Facets and Its Application to Inference Services (패싯(Facet)을 이용한 과학기술분야 시소러스 구축과 활용방안)

  • Hwang, Soon-Hee;Jung, Han-Min;Sung, Won-Kyung
    • Journal of Information Management
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    • 제37권3호
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    • pp.61-84
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    • 2006
  • In this paper, we proposed one of the methods for building thesaurus in Science & Technology domain and investigated its applicability as an inference service based on ontology. There exist as many building methods for thesaurus as its role and function, and actually many thesauri capable of ensuring the accuracy and efficiency in information search are being built by many experts. After examining the previous studies related to the principles of building thesaurus and relevant concept "facet", we focused on its characteristics and applied it to building thesaurus. The facet is classified into 2 categories, conceptual facet and relational facet. The latter contains 3 subcategories: category relational facet, attribute relational facet and thematic relational facet. The thesaurus for Science & Technology domain using facets can be applied as a web-based inference service. As a result, the three types of inference service, COP(Communities of Practice), Researcher Tracing and Research Map are provided by means of ontology, and can be applied for the Query Expansion.