• Title, Summary, Keyword: Ontology-based Event Analysis

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Ontological Analysis on the Phenomenon of Contemporary Architecture - Focused on the Avant-garde in the End of the 20th Century - (현대건축 현상의 존재론적 해석 - 20세기말 아방가르드를 중심으로 -)

  • Byun, Gye-Sung
    • Journal of architectural history
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    • v.14 no.2
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    • pp.21-40
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    • 2005
  • The purpose of this study was to analyze the features of the avant-garde architecture in the end of the 20th Century based on the ontology as a metalanguage. In view of the results so for achieved, it is possible to say that the thought of becoming, topology, rhizome thought and the Deleuze's concepts of the fold and the event as ever-changing and evolving at any given time are found in the avant-garde architecture, and the introduction of ontological thought into architectural design encourage hopes for a more natural and existential quality in architecture. However, the avant-garde architecture in the end of the 20th century disclosed the limitation in the architectural expression of ontological thought due to the lack of fully understand on ontology. In conclusion, the ontological approach in architecture offers a new morphological methodology and a new way of programming considering the existential aspect of space through the bricoleur's means leaving the ontological meaning of architecture itself.

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Network Traffic Analysis System Based on Data Engineering Methodology (데이터 엔지니어링 방법론을 기반으로한 네트워크 트래픽 분석 시스템)

  • Han, Young-Shin;Kim, Tae-Kyu;Jung, Jason J.;Jung, Chan-Ki;Lee, Chil-Gee
    • Journal of the Korea Society for Simulation
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    • v.18 no.1
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    • pp.27-34
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    • 2009
  • Currently network users, especially the number of internet users, increase rapidly. Also, high quality of service is required and this requirement results a sudden network traffic increment. As a result, an efficient management system for huge network traffic becomes an important issue. Ontology/data engineering based context awareness using the System Entity Structure (SES) concepts enables network administrators to access traffic data easily and efficiently. The network traffic analysis system, which is studied in this paper, is designed and implemented based on a model and simulation using data engineering methodology to be avaiable in evaluating large network traffic data. Extensible Markup Language (XML) is used for metadata language in this system. The information which is extracted from the network traffic analysis system could be modeled and simulated in Discrete Event Simulation (DEVS) methodology for further works such as post simulation evaluation, web services, and etc.

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Adapted Sequential Pattern Mining Algorithms for Business Service Identification (비즈니스 서비스 식별을 위한 변형 순차패턴 마이닝 알고리즘)

  • Lee, Jung-Won
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.4
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    • pp.87-99
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    • 2009
  • The top-down method for SOA delivery is recommended as a best way to take advantage of SOA. The core step of SOA delivery is the step of service modeling including service analysis and design based on ontology. Most enterprises know that the top-down approach is the best but they are hesitant to employ it because it requires them to invest a great deal of time and money without it showing any immediate results, particularly because they use well-defined component based systems. In this paper, we propose a service identification method to use a well-defined components maximally as a bottom-up approach. We assume that user's inputs generates events on a GUI and the approximate business process can be obtained from concatenating the event paths. We first find the core GUIs which have many outgoing event calls and form event paths by concatenating the event calls between the GUIs. Next, we adapt sequential pattern mining algorithms to find the maximal frequent event paths. As an experiment, we obtained business services with various granularity by applying a cohesion metric to extracted frequent event paths.

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Video Event Analysis and Retrieval System for the KFD Web Database System (KFD 웹 데이터베이스 시스템을 위한 동영상 이벤트 분석 및 검색 시스템)

  • Oh, Seung-Geun;Im, Young-Hee;Chung, Yong-Wha;Chang, Jin-Kyung;Park, Dai-Hee
    • The Journal of the Korea Contents Association
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    • v.10 no.11
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    • pp.20-29
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    • 2010
  • The typical Kinetic Family Drawing (KFD) Web database system, a form of prototype system, has been developed, relying on the suggestions from family art therapists, with an aim to handle large amounts of assessment data and to facilitate effective implement of assessment activities. However, unfortunately such a system has an intrinsic problem that it fails to collect clients' behaviors, attitudes, facial expressions, voices, and other critical information observed while they are drawing. Accordingly we propose the ontology based video event analysis and video retrieval system in this paper, in order to enhance the function of a KFD Web database system by using a web camera and drawing tool. More specifically, a newly proposed system is designed to deliver two kinds of services: the client video retrieval service and the sketch video retrieval service, accompanied by a summary report of occurred events and dynamic behaviors relative to each family member object, respectively. The proposed system can support the reinforced KFD assessments by providing quantitative and subjective information on clients' working attitudes and behaviors, and KFD preparation processes.

The Ontology based Context Aware System Design for Efficient Memory Management of a Vehicle Black Box (차량용 블랙박스 메모리의 효율적인 관리를 위한 온톨로지 기반의 상황인지 시스템 설계)

  • Park, Ji-Sang;Jeon, Min-Ho;Lee, Myung-Eui
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.1
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    • pp.475-481
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    • 2014
  • Recently, it is used to apply various improved methods to determine the cause of traffic accidents. However, most of vehicle black box usually start to store the video information by an event trigger in case that the impact value at that time exceeds the threshold impact value as compared the threshold impact value saved in advance with the current impact value. there are problems with above method that a lot video information should be saved in the memory card of the vehicle black box, and the user should delete the unwanted video information every time because of unclassified video store. In this paper, we propose the ontology-based context aware algorithm that the vehicle black box recognize the situation, and then remove the video data with a low weighting factor by itself for efficient memory management.

Expanding and Improving FRBR Conceptual Model through FRBRoo (FRBRoo 분석을 통한 FRBR 개념모형의 확장과 개선)

  • Park, Zi-young
    • Journal of the Korean Society for information Management
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    • v.34 no.4
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    • pp.201-225
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    • 2017
  • In this study, based on the analysis of FRBRoo, we tried to propose suggestions to expand and improve the FRBR family conceptual model. FRBRoo is a plug-in ontology of CIDOC CRM with cooperation of museum field. As FRBR family models also revised and integrated into IFLA Library Reference Model, the additional analysis on IFLA LRM was performed. If bibliographic information is required to support the technical and user services of the library, the way to analyze the bibliographic information should be improved in order to cope with the new challenges faced by the library. To do this, time-related event concepts should be reflected in the modeling of bibliographic information. It is also necessary to expand the creation and exchange unit of bibliographic information to smaller units or larger units than legacy bibliographic records. Using FRBRoo as a linkage tool for the sharing of bibliographic information is also suggested.

Whole-transcriptome analyses of the Sapsaree, a Korean natural monument, before and after exercise-induced stress

  • Kim, Ji-Eun;Choe, Junkyung;Lee, Jeong Hee;Kim, Woong Bom;Cho, Whan;Ha, Ji Hong;Kwon, Ki Jin;Han, Kook Il;Jo, Sung-Hwan
    • Journal of Animal Science and Technology
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    • v.58 no.4
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    • pp.17.1-17.7
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    • 2016
  • Background: The Sapsaree (Canis familiaris) is a Korean native dog that is very friendly, protective, and loyal to its owner, and is registered as a natural monument in Korea (number: 368). To investigate large-scale gene expression profiles and identify the genes related to exercise-induced stress in the Sapsaree, we performed whole-transcriptome RNA sequencing and analyzed gene expression patterns before and after exercise performance. Results: We identified 525 differentially expressed genes in ten dogs before and after exercise. Gene Ontology classification and KEGG pathway analysis revealed that the genes were mainly involved in metabolic processes, such as programmed cell death, protein metabolic process, phosphatidylinositol signaling system, and cation binding in cytoplasm. The ten Sapsarees could be divided into two groups based on the gene expression patterns before and after exercise. The two groups were significantly different in terms of their basic body type ($p{\leq}0.05$). Seven representative genes with significantly different expression patterns before and after exercise between the two groups were chosen and characterized. Conclusions: Body type had a significant effect on the patterns of differential gene expression induced by exercise. Whole-transcriptome sequencing is a useful method for investigating the biological characteristics of the Sapsaree and the large-scale genomic differences of canines in general.