• Title/Summary/Keyword: Ontology System

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An Active Mining Framework Design using Spatial-Temporal Ontology (시공간 온톨로지를 이용한 능동 마이닝 프레임워크 설계)

  • Hwang, Jeong-Hee;Noh, Si-Choon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.9
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    • pp.3524-3531
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    • 2010
  • In order to supply suitable services to users in ubiquitous computing environments, it is important to consider both location and time information which is related to all object and user's activity. To do this, in this paper, we design a spatial-temporal ontology considering user context and propose a system architecture for active mining user activity and service pattern. The proposed system is a framework for active mining user activity and service pattern by considering the relation between user context and object based on trigger system.

Constructing Search System on Botanic resources (Mandarine) by using Ontology (온톨로지 활용 감귤 자원 검색시스템 개발)

  • Kim, Min-Cheol;Kim, Young-Ick
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.10
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    • pp.1885-1890
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    • 2006
  • Because of the rapid development of information technology and easiness in using internet, Web becomes indispensible utility in every day life and various information has been shared in internet. However, caused by the flood of information in the Web, the skill of acquiring required information with easy becomes one of the most urgent on utilizing internet. As a solution fur the requirement, Semantic Web, which upgrades present web technology by using semantic skills, has been researched actively ud Ontology is regarded as the basis of constructing semantic web system. The aim of this research is on developing agent using ontology skills for botanic resources. Moreover, the system can be used for developing and accumulating various resources effectively.

Design and Implementation of Ontology-Based Context Reasoning System for Adaptive Multimedia Service Migration (적응형 멀티미디어 서비스 이동을 위한 온톨로지 기반의 상황 추론 시스템 설계 및 구현)

  • Kim Jae-Heon;Lee Suk-Ho;Lee Jung-Tae;Hwang Won-Joo
    • Journal of Korea Multimedia Society
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    • v.9 no.4
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    • pp.460-469
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    • 2006
  • Recently, a demand of adaptive multimedia service, which supports multimedia service migration according to user's location and characteristics of user device, is increased. In this paper, we propose a service migration system, which becomes aware of user device using intelligent agent. And we design and implement the ontology-based intelligent agent, which is aware of the context in its environment. Moreover, we implement a context reasoning system using location information.

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Prototype of Crops Information System based on Ontology and WebGIS (Ontology와 WebGIS 기반 프로토타입 농작물 작황 정보시스템 구축)

  • Lee, Hong-Ro;Baek, Jeong-Hyun;Baek, Jeong-Ho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.11 no.3
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    • pp.43-51
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    • 2008
  • In this paper, we present WebGIS techniques that can acquire more information from users who offered information and location of region's crops. So that it can be search the information based on Ontology defining Metadata for understand and control more accurately. And this paper shows how to implement about prototype of crops information system for obtaining information of location. Our object is to offer results Service form search, to analyze question of user and to show the exact geographic information about question of user. So this paper can be provide convenience to users that can be show Semantic WebGIS system.

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Semantic Ontology Speech Information Extraction using Non-parametric Correlation Coefficient (비모수적 상관계수를 이용한 시맨틱 온톨로지 음성 정보 추출)

  • Lee, Byungwook
    • Journal of Digital Convergence
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    • v.11 no.9
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    • pp.147-151
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    • 2013
  • On retrieving high frequency keywords in information retrieval system, mismatchings to user's request are problems because of the various meanings of keywords in the existing ontology configuration. In this paper, it is to construct personnel selection ontology and rules in personnel management which are composed of various concepts and knowledges based on semantic web technology and suggest selection procedures to support these rules and knowledge retrieval system to verify suitability of selection results. This system utilizes a method of extraction of speech features by using non-parametric correlation coefficient. This proposed method has been validated by showing that the result average SNR of the experiment evaluation of the proposed techniques was shown to be decreased by .752dB.

Processing of dosage units and design of database schema for formulas in Korean medicine ontology (한의 온톨로지 처방의 용량 단위 가공과 데이터베이스 스키마 설계)

  • Sang-Kyun, Kim;Yong-Taek, Oh;MyungKu, Lee
    • Herbal Formula Science
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    • v.30 no.4
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    • pp.233-240
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    • 2022
  • Objectives : This study aims to propose a processing method for dosage units of medicinal materials and the database schema to manage formula data in Korean medicine ontology. Methods : All dosage units of medicinal materials are collected from the seven textbooks that contain formula data of Korea medicine ontology. Dosages are converted to Arabic numerals and units that are frequently used are converted to representative units. Database schema is designed for processing and managing the formulas and medicinal materials with dosage units. Results : Seven representative units are selected out of 77 units. They will be used in the addition or subtraction of medicinal materials in a formula support system. The remaining units will be made available for references. Conclusions : EMR or chart programs used in clinical hospitals contain formula data that is already standardized. However, the formula data in Korean medicine literature and textbook is not refined, so it is necessary to process the dosages and units of medicinal materials to use in the formula support system. This result is a processing method to utilize the formula data of Korean medicine textbooks and it will be implemented this method in the established formula support system in the future.

Light-Ontology Classification for Efficient Object Detection using a Hierarchical Tree Structure (효과적인 객체 검출을 위한 계층적 트리 구조를 이용한 조명 온톨로지 분류)

  • Kang, Sung-Kwan;Lee, Jung-Hyun
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.215-220
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    • 2012
  • This paper proposes a ontology of tree structure approach for adaptive object recognition in a situation-variant environment. In this paper, we introduce a new concept, ontology of tree structure ontology, for context sensitivity, as we found that many developed systems work in a context-invariant environment. Due to the effects of illumination on a supreme obstinate designing context-sensitive recognition system, we have focused on designing such a context-variant system using ontology of tree structure. Ontology can be defined as an explicit specification of conceptualization of a domain typically captured in an abstract model of how people think about things in the domain. People produce ontologies to understand and explain underlying principles and environmental factors. In this research, we have proposed context ontology, context modeling, context adaptation, and context categorization to design ontology of tree structure based on illumination criteria. After selecting the proper light-ontology domain, we benefit from selecting a set of actions that produces better performance on that domain. We have carried out extensive experiments on these concepts in the area of object recognition in a dynamic changing environment, and we have achieved enormous success, which will enable us to proceed on our basic concepts.

A suggestion for Mobile Fashion Information using Ontology Technique based on Relation Database (관계형 데이터베이스 기반 온톨로지 기법을 활용한 모바일 패션 정보 제안)

  • Ahn, Hoo-Young;Park, Young-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.6
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    • pp.207-212
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    • 2007
  • Recently, requriements that people want to receive various information related with fashion are increasing. A lot of internet shopping malls and corporations provide information about fashion. However, those systems do not give enough information about fashion. To solve these problems, the paper provides the recommend technique for providing complex fashion information on mobile devices. The providing system implements fasion ontology by using XML. The XML ontology has dewey number as an attribute. The recommend technique uses this number and find LCA(Lowest Common Ancestor) on the fashion ontology. Then those child nodes under the LCA are recommended as related information. The results are displayed on the mobile browser. The system provides function for taking a picture or movie of fashion contents. Those movies and pictures are UCC(User Created Content)s. The system is a novel system that can recommend complex fasion information on mobile devices.

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PubMine: An Ontology-Based Text Mining System for Deducing Relationships among Biological Entities

  • Kim, Tae-Kyung;Oh, Jeong-Su;Ko, Gun-Hwan;Cho, Wan-Sup;Hou, Bo-Kyeng;Lee, Sang-Hyuk
    • Interdisciplinary Bio Central
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    • v.3 no.2
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    • pp.7.1-7.6
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    • 2011
  • Background: Published manuscripts are the main source of biological knowledge. Since the manual examination is almost impossible due to the huge volume of literature data (approximately 19 million abstracts in PubMed), intelligent text mining systems are of great utility for knowledge discovery. However, most of current text mining tools have limited applicability because of i) providing abstract-based search rather than sentence-based search, ii) improper use or lack of ontology terms, iii) the design to be used for specific subjects, or iv) slow response time that hampers web services and real time applications. Results: We introduce an advanced text mining system called PubMine that supports intelligent knowledge discovery based on diverse bio-ontologies. PubMine improves query accuracy and flexibility with advanced search capabilities of fuzzy search, wildcard search, proximity search, range search, and the Boolean combinations. Furthermore, PubMine allows users to extract multi-dimensional relationships between genes, diseases, and chemical compounds by using OLAP (On-Line Analytical Processing) techniques. The HUGO gene symbols and the MeSH ontology for diseases, chemical compounds, and anatomy have been included in the current version of PubMine, which is freely available at http://pubmine.kobic.re.kr. Conclusions: PubMine is a unique bio-text mining system that provides flexible searches and analysis of biological entity relationships. We believe that PubMine would serve as a key bioinformatics utility due to its rapid response to enable web services for community and to the flexibility to accommodate general ontology.

Ontology-based Semantic Searching Web Service and Integration with PDM (온톨로지 기반 의미검색 웹 서비스와 PDM과의 통합)

  • Hahm, Gyeong-June;Suh, Hyo-Won;Yang, Young-Soon;Choi, Young
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.21 no.6
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    • pp.579-587
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    • 2008
  • In collaborative environment, since each agent generally uses different words for the same meaning, there is an obstacle for information sharing. In collaborative product development environment, each agent has different words for representing same product information. As a result, it is hard to share product information in this situation. For solving this problem, semantic-based product information is needed. In this paper, a ontology-based semantic searching system which is able to interact with legacy PDM systems is proposed for product information sharing in collaborative environment Product ontology is represented with OWL format, and the product ontology is processed by Pellet reasoning engine for semantic searching. The system is implemented as a web service which can be integrated with other systems. This paper also introduces the approach with which a PDM system provides a function of semantic search with this search system.