• Title/Summary/Keyword: Spatial Databases

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Using Indirect Predicates in Multi-way Spatial Joins (다중 공간 조인에서 간접 술어의 활용)

  • 박호현;정진완
    • Journal of KIISE:Databases
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    • v.30 no.6
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    • pp.593-605
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    • 2003
  • Since spatial join processing consumes much time, several algorithms have been proposed to improve spatial join performance. The M-way R-tree join (MRJ) is a join algorithm which synchronously traverses M R-trees in the M-way spatial join. In this paper, we introduce indirect predicates which do not directly come from the multi-way join conditions but are indirectly derived from them. By applying the concept of indirect predicates to MRJ, we improve the performance of MRJ. We call such a multi-way R-tree join algorithm using indirect predicates indirect predicate filtering (IPF). Through experiments using synthetic data and real data, we show that IPF significantly

In-Route Nearest Neighbor Query Processing Algorithm with Time Constraint in Spatial Network Databases (공간 네트워크 데이터베이스에서 시간제약을 고려한 경로 내 최근접 질의처리 알고리즘)

  • Kim, Yong-Ki;Kim, Sang-Mi;Chang, Jae-Woo
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.2
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    • pp.196-200
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    • 2008
  • Recently, the query processing algorithm in spatial network database (SNDB) has attracted many interests. However, there is little research on route-based query processing algorithm in SNDB. Since the moving objects moves only in spatial networks, the route-based algorithm is very useful for LBS and Telematics applications. In this paper, we analyze In-Route Nearest Neighbor (IRNN) query, which is an typical one of route-based queries, and propose a new IRNN query processing algorithm with time constraint. In addition, we show from our performance analysis that our IRNN query processing algorithm with time constraint is better on retrieval performance than the existing IRNN query processing one.

Design and Performance Analysis of Storage Schema for Efficient Storing of GML Documents (효율적인 GML 문서 저장을 위한 저장 스키마의 설계 및 성능평가)

  • Chang, Jae-Woo;Wang, Tae-Woong;Lee, Hyun-Jo
    • Journal of Korea Spatial Information System Society
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    • v.9 no.2
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    • pp.35-53
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    • 2007
  • GML is a mark-up language which is suggested by OGC(Open GIS Consortium) for use of encoding standard concerning with storing and transferring Geographic information. For general spatial network database, researches supporting GML documents can be classified into three categories : parsing, storing, and retrieval of GML documents. Among them, the 'Storing of GML document' is essential for efficient GML document retrieval. However, There is little research on schema for storing GML documents. In addition, the existing schema for storing XML documents can't be used for GML documents due to geographic information. Therefore, In this paper, we propose efficient schema for storing GML documents In addition, we do performance evaluation of the GML schema.

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A Prefetch Algorithm for a Mobile Host using Association Rules (연관 규칙을 이용한 이동 호스트의 선반입 알고리즘)

  • 김호숙;용환승
    • Journal of KIISE:Databases
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    • v.31 no.2
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    • pp.163-173
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    • 2004
  • Recently, location-based services are becoming very Popular in mobile environments. In this paper, we propose a new association based prefetch algorithm (called by STAP) that efficiently supports information service based on the large quantity of spatial database in mobile environments. We apply the spatial-temporal relations that are meaningful for location-based queries in mobile environments. Moreover, STAP considers user's mobility and the weight of spatial data. The relation of services is a new aspect not considered in previous cache politics. So STAP is the first prefetch algorithm considering the spatial-temporal relations and thus the cache policy begins to gain a new dimension. We evaluate the performance of STAP and prove the efficiency of STAP.

Implementation of WebGIS for Integration of GIS Spatial Analysis and Social Network Analysis (GIS 공간분석과 소셜 네트워크 분석의 통합을 위한 WebGIS 구현)

  • Choi, Hyo-Seok;Yom, Jae-Hong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.2
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    • pp.95-107
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    • 2014
  • In general, topographical phenomena are represented graphically by data in the spatial domain, while attributes of the non-spatial domain are expressed by alpha-numeric texts. GIS functions for analysis of attributes in the non-spatial domain remain quite simple, such as search methods and simple statistical analysis. Recently, graph modeling and network analysis of social phenomena are commonly used for understanding various social events and phenomena. In this study, we applied the network analysis functions to the non-spatial domain data of GIS to enhance the overall spatial analysis. For this purpose, a novel design was presented to integrate the spatial database and the graph database, and this design was then implemented into a WebGIS system for better decision makings. The developed WebGIS with underlying synchronized databases, was tested in a simulated application about the selection of water supply households during an epidemic of the foot-and-mouse disease. The results of this test indicate that the developed WebGIS can contribute to improved decisions by taking into account the social proximity factors as well as geospatial factors.

Content and Trajectory Retrievals of Moving Objects in Video Databases (비디오 데이타베이스에서 이동 객체의 내용 및 궤적 검색)

  • 복경수;유재수
    • Journal of KIISE:Databases
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    • v.31 no.3
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    • pp.219-231
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    • 2004
  • Recently, together with increasing use of multimedia data, many works on moving objects in video databases have been made. Moving objects change visual features and spatial positions with the lapse of time in video data. And they arc related to the other objects or events. In this paper, we propose a new modeling and various query types of moving objects for content based retrieval in video databases. The proposed modeling represents visual features, moving trajectories and semantic contents related to objects. Therefore, it allows to process various query types. And we propose various query operators for the retrieval types. To show the superiority of our modoling, we implement the retrieval systems and compare it with the existing methods in terms of the supporting query types. The proposed method supports various query types and improves the efficiency of the query processing over the existing methods.

Time-distance Accessibility Computation of Seoul Bus System based on the T-card Transaction Big Databases (교통카드 빅데이터 기반의 서울 버스 교통망 시간거리 접근성 산출)

  • Park, Jong Soo;Lee, Keumsook
    • Journal of the Economic Geographical Society of Korea
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    • v.18 no.4
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    • pp.539-555
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    • 2015
  • This study proposes the methodology for measuring the time-distance accessibility on the Seoul bus system based on the T-card transaction databases and analyzes the results. T-card transaction databases contain the time/space information of each passenger's locations and times of the departure, transfers, and destination. We introduce the bus network graph and develop the algorithms for time-distance accessibility measurement. We account the average speed based on each passenger's get-in and getoff information in the T-card data as well as the average transfer time from the trip chain transactions. Employing the modified Floyd APSP algorithm, the shortest time distance between each pair of bus stops has been accounted. The graph-theoretic nodal accessibility has been given by the sum of the inverse time distance to all other nodes on the network. The results and spatial patterns are analyzed. This study is the first attempt to measure the time-distance accessibility for such a large transport network as the Seoul bus system consists of 34,934 bus stops on the 600 bus routes, and each bus route can have different properties in terms of speed limit, number of lanes, and traffic signal systems, and thus has great significance in the accessibility measurement studies.

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Spatial Selectivity Estimation using Cumulative Wavelet Histograms (누적밀도 웨이블릿 히스토그램을 이용한 공간 선택율 추정)

  • Chi, Jeong-Hee;Jeong, Jae-Hyuk;Ryu, Keun-Ho
    • Journal of KIISE:Databases
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    • v.32 no.5
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    • pp.547-557
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    • 2005
  • The purpose of selectivity estimation is to maintain the summary data in a very small memory space and to minimize the error of estimated value and query result. In case of estimating selectivity for large spatial data, the existing works need summary information which reflect spatial data distribution well to get the exact result for query. In order to get such summary information, they require a much memory space. Therefore In this paper, we propose a new technique cumulative density wavelet Histogram, called CDW Histogram, which gets a high accurate selectivity in small memory space. The proposed method is to utilize the sub-histograms created by CD histogram. The each sub-histograms are used to generate the wavelet summary information by applying the wavelet transform. This fact gives us good selectivity even if the memory sire is very small. The experimental results show that the proposed method simultaneously takes full advantage of their strong points - gets a good selectivity using the previous histogram in ($25\%\~50\%$) memory space and is superior to the existing selectivity estimation techniques. The proposed technique can be used to accurately quantify the selectivity of the spatial range query in databases which have very restrictive memory.

Design of Storage and Index Structures for Spatial Network Databases (공간 네트워크 데이터베이스를 위한 저장 및 색인 구조의 설계)

  • 강홍민;장재우
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.133-135
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    • 2004
  • 이동 객체를 위한 기존 연구는, 제한조건이 없는 이상적인 공간을 가정하고 설계되었으나, 이는 실제 응용에 직접 적용하는데 문제를 지니고 있다. 따라서 본 논문에서는 LBS (location-based service) 의 효과적인 지원을 위해, 이상적인 공간대신, 실제 도로나 철도와 같은 공간 네트워크(network)를 고려하며, 아울러, 이러한 공간네트워크 데이터베이스를 위한 효율적인 저장 및 색인 구조를 설계한다.

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A Multimedia Query Language for Object-Oriented Multimedia Databases (객체 지향 멀티미디어 데이타베이스를 위한 멀티미디어 질의어)

  • 노윤묵;이석호;김규철
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.5
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    • pp.671-682
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    • 1995
  • In this paper, we propose a multimedia query language MQL which defines and manipulates multimedia data as integration of monomedia data in time and space. The MQL is designed for a multimedia data model, called the object-relationship model, and based on the multimedia object calculus which formally describes operations on multimedia data. The SQL- like syntax for class definition and object manipulation, such as retrieval, insert, update, and delete, is defined. We show how the MQL can represent the user queries using composite temporal-spatial class structures and various relationships, such as equivalence and sequence.

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