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Journal articles on the topic 'Spatial database'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Abdulrahman Kareem Zada, Ashna. "Assess the Changing Role of Database Technology within Geographic Information System Over the Past 45 Years." Polytechnic Journal 9, no. 1 (2019): 26–31. http://dx.doi.org/10.25156/ptj.v9n1y2019.pp26-31.

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Spatial data stored in databases have been become progressively crucial in the geographic information system (GIS) field within recent years. Spatial data are increasingly being noted for its significance in representing for real-life relationships. The value of spatial databases cannot be underestimated since it has been established to be an efficient and flexible means of handling enormous spatial datasets. This paper shows the different methods, in which spatial data are integrated by major database vendors and database within GIS. The current report has also examined the new technologies a

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Azhari, Septian Cahya, Iman Hilman, Siti Fadjarajani, and Guruh Sukmo. "A Bibliometric Analysis: Remote Sensing Literature in Dimensions.ai Database." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 22, no. 2 (2022): 79–94. http://dx.doi.org/10.21009/spatial.222.01.

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This research using bibliometric analysis aims to identify and visualize research developments in the field of remote sensing studies. The data is obtained from 2021-2022 through dimensions.ai with criteria for articles that have a digital object identifier (DOI). The data generated were 2645 articles which were then analyzed using the VosViewer device. The data analyzed includes the development of popular keywords, affiliations, countries and authors who do a lot of research in the field of remote sensing. The results of the study found 4 clusters with 216 items for keywords, 6 clusters and 3

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Azhari, Septian Cahya, Iman Hilman, Siti Fadjarajani, and Guruh Sukmo. "A Bibliometric Analysis: Remote Sensing Literature in Dimensions.ai Database." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 22, no. 2 (2022): 91–106. http://dx.doi.org/10.21009/spatial.222.001.

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This research using bibliometric analysis aims to identify and visualize research developments in the field of remote sensing studies. The data is obtained from 2021-2022 through dimensions.ai with criteria for articles that have a digital object identifier (DOI). The data generated were 2645 articles which were then analyzed using the VosViewer device. The data analyzed includes the development of popular keywords, affiliations, countries and authors who do a lot of research in the field of remote sensing. The results of the study found 4 clusters with 216 items for keywords, 6 clusters and 3

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4

Salzberg, Betty, and David B. Lomet. "Spatial database access methods." ACM SIGMOD Record 20, no. 3 (1991): 6–15. http://dx.doi.org/10.1145/126482.126483.

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Devogele, Thomas, Christine Parent, and Stefano Spaccapietra. "On spatial database integration." International Journal of Geographical Information Science 12, no. 4 (1998): 335–52. http://dx.doi.org/10.1080/136588198241824.

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Yu, Yong Ling, Tao Guan, and Jin Fa Shi. "Spatial Data Mining Based on Campus GIS." Advanced Materials Research 282-283 (July 2011): 641–45. http://dx.doi.org/10.4028/www.scientific.net/amr.282-283.641.

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With the rapid development of spatial database technology, spatial databases have been widely used in many engineering fields and rapidly increase in data capacity. Thus, to mine useful information from large spatial databases turns into a difficult but important task. In this paper, we apply the traditional data mining into spatial database and give a mining model for spatial data based on Campus GIS. Moreover, based on campus GIS, we implement a spatial data mining prototype system that is able to discovery the useful spatial features and patterns in spatial databases. The application in the

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Di Martino, Ferdinando, and Salvatore Sessa. "Fuzzy Reliability in Spatial Databases." Advances in Fuzzy Systems 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/107358.

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Today it is very difficult to evaluate the quality of spatial databases, mainly for the heterogeneity of input data. We define a fuzzy process for evaluating the reliability of a spatial database: the area of study is partitioned in isoreliable zones, defined as homogeneous zones in terms of data quality and environmental characteristics. We model a spatial database in thematic datasets; each thematic dataset concerns a specific spatial domain and includes a set of layers. We estimate the reliability of each thematic dataset and therefore the overall reliability of the spatial database. We hav

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Savira Djumi Wardhani, Aisyah Trees Sandy, and Oot Hotimah. "Analisis Penyesuaian Perpetaan RDTR Perkotaan Sebulu dengan Permen ATR/BPN No. 11 dan 14 Tahun 2021." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 25, no. 1 (2025): 1–9. https://doi.org/10.21009/spatial.251.001.

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The issuance of Kutai Kartanegara Regional Regulation Number 7 of 2023 for the Spatial Plan (RTRW) of Kutai Kartanegara Regency for 2023-2042 forms the basis for preparing the RDTR for Sebulu Urban Area. The 2019 Kutai Kartanegara Regent Regulation guided the RDTR preparation using earlier regulations. New guidelines in 2021 necessitated RDTR mapping adjustments. This study aims to analyze RDTR mapping before and after improvements, using a qualitative approach and descriptive method. Techniques include overlay and topology analysis, evaluating strategic contents and the mapping database. Stra

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Kranjčić, Nikola, Bojan Đurin, Dragana Dogančić, and Lucija Plantak. "Improving Management of Spatial Data through Spatial Database." Environmental Sciences Proceedings 5, no. 1 (2020): 5. http://dx.doi.org/10.3390/iecg2020-08865.

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Entering the European Union, the Republic of Croatia took over the INSPIRE directive called the National Spatial Data Infrastructure. A large amount of spatial data can be found through the National Spatial Data Infrastructure Geoportal. Data are available for viewing or downloading via different services, such as a web mapping service or web feature service. Although different spatial data are available, it is hard to access useful information through Geoportal. The aim of this paper is to prepare a spatial database which will gather different spatial data related to environmental engineering

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Kong, Ling Yan, Ying Chun Tao, Jing Liu, and Ai Hua Wu. "Study on Integrated Spatial Database for Composite Urban Disaster Risk Assessment." Applied Mechanics and Materials 738-739 (March 2015): 285–88. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.285.

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In the research of urban disaster risk assessment, data is the most basic element. Accurate, comprehensive, high quality data is essential to ensure the accuracy of disaster analysis and disaster risk classification. The systematic methods of data acquisition, processing and management and analysis need to be studied. In this paper, based on the analysis of characteristics of urban-disasters composite risk assessment data, the risk assessment database is designed. According to processing phase, the database is divided into four sub-databases: gathering database, general database, study area da

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Istiyanto, Bambang, Yan El Rizal Unzilatirrizqi D, Mouli De Rizka Dewantoro, and Rahmat Ahmad. "Geographic Information System (GIS-T) database design for transportation safety system (case study: spatial database for road transportation system in Indonesia)." IOP Conference Series: Earth and Environmental Science 1117, no. 1 (2022): 012023. http://dx.doi.org/10.1088/1755-1315/1117/1/012023.

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Abstract This study aimed to develop a spatial database design on transportation safety system. Spatial databases is a fundamental factor that is very important in the utilization of GIS for transportation, so it is important that a good preparation of spatial databases. Preparation of spatial database will be effective if tailored to the needs. Factors affecting transportation safety is different from one region to another. Factors that affect transportation safety system in an area can be influenced by the transportation system infrastructure in the area. Database design for transportation s

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Bao, Yi, Zhiming Gui, Zhongxiang Sun, Zhengyang An, and Zhou Huang. "Spatial Blockchain: Enhancing Spatial Queries and Applications through Integrating Blockchain and Spatial Database Technologies." Electronics 12, no. 20 (2023): 4287. http://dx.doi.org/10.3390/electronics12204287.

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The fusion of spatial data with blockchain technologies presents an innovative approach towards a decentralized, secure, and trustworthy framework for spatial information management. This integration brings spatial representation to the forefront of blockchain, opening avenues for various sectorial applications. However, challenges like slow processing times, restricted query capabilities, and consistency issues have been identified within the blockchain system. Addressing these challenges, we propose an optimized method for spatial queries by leveraging the high-performance capabilities of sp

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Li, Haizhou, François Pinet, and Farouk Toumani. "Towards The Use of Probabilistic Spatial Relation Databases in Business Process Modeling." International Journal of Agricultural and Environmental Information Systems 6, no. 3 (2015): 50–62. http://dx.doi.org/10.4018/ijaeis.2015070104.

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In this paper, the authors combine the methods of probabilistic databases, GIS (Geographical Information Systems) and business process modelling to evaluate the agricultural activities. The authors provide a technique to evaluate the risk of agricultural activities among the hydrological objects (lakes, rivers, etc.) and agricultural plots. The spatial relation is an important information needed in the evaluation processes. This type of information is usually uncertain and the available data are often not precise. Consequently, probabilistic database is used to capture the uncertainty of the s

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Mazimpaka, Jean Damascène. "Methodical Spatial Database Design with Topological Polygon Structures." International Journal of Applied Geospatial Research 3, no. 1 (2012): 21–30. http://dx.doi.org/10.4018/jagr.2012010102.

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Spatial databases form the foundation for a Spatial Data Infrastructure (SDI). For this, a spatial database should be methodically developed to accommodate its role in SDI. It is desirable to have an approach to spatial database development that considers maintenance from the early stage of database design and in a flexible way. Moreover, there is a lack of a mechanism to capture topological relations of spatial objects during the design process. This paper presents an approach that integrates maintenance of topological integrity constraints into the whole spatial database development cycle. T

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Ďuračiová, R. "Querying Uncertain Data in Geospatial Object-relational Databases Using SQL and Fuzzy Sets." Slovak Journal of Civil Engineering 21, no. 4 (2013): 1–12. http://dx.doi.org/10.2478/sjce-2013-0016.

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Abstract This paper deals with uncertainty modeling in spatial object-relational databases by the use of Structured Query Language (SQL). The fundamental principles of uncertainty modeling by fuzzy sets are applied in the area of geographic information systems (GIS) and spatial databases. A spatial database system includes types of spatial data and implements the spatial extension of SQL. The implementation of the principles of fuzzy logic to spatial databases brings an opportunity for the efficient processing of uncertain data, which is important, especially when using various data sources (e

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Pavlova, Anna I. "SPATIAL DATABASES OF AGRONOMIC GEOINFORMATION SYSTEMS." Siberian Journal of Life Sciences and Agriculture 13, no. 5 (2022): 336–49. http://dx.doi.org/10.12731/2658-6649-2021-13-5-336-349.

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The work is devoted to the development of spatial databases for the assessment of agricultural land. The geodatabase is aimed at geoinformation support of assessment, agroecological typing (groups, types of land) of agricultural lands, development of adaptive-landscape farming systems. The paper presents the structure of the database of regional and local levels. Three different ways of user interaction with the AgroGIS database are proposed. For practical implementation, it is proposed to use the object-functional approach to database development, based on the use of cloud data storage techno

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Lanter, David P. "A Lineage Meta-Database Approach Toward Spatial Analytic Database Optimization." Cartography and Geographic Information Systems 20, no. 2 (1993): 112–21. http://dx.doi.org/10.1559/152304093782610315.

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Boyal, Parthasarathi, and Rituparna Chaki. "New Database Architecture for Smart Query Handler of Spatial Database." Procedia Technology 4 (2012): 766–71. http://dx.doi.org/10.1016/j.protcy.2012.05.125.

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Xie, Xiaowei, Wenbin Ma, Zhou Songyang, et al. "CCSI: a database providing chromatin–chromatin spatial interaction information." Database 2016 (2016): bav124. http://dx.doi.org/10.1093/database/bav124.

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Huang, Bo, and Li Yao. "Spatiotemporal Object Database Approach to Dynamic Segmentation." Transportation Research Record: Journal of the Transportation Research Board 1836, no. 1 (2003): 118–25. http://dx.doi.org/10.3141/1836-15.

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Dynamic segmentation is viewed as one of the most important functions of geographic information systems for transportation applications. Although the road network and associated events (e.g., pavement material, traffic volume, incidents) can be referenced to both space and time, the spatial and temporal dimensions have not been well integrated. Modeling space-varying, time-varying, and space-time-varying events in dynamic segmentation by using an object database approach that is in line with the Object Database Management Group standard is explored. A mechanism called parametric polymorphism i

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Li, Lingxiao, and David Taniar. "A Taxonomy for Distance-Based Spatial Join Queries." International Journal of Data Warehousing and Mining 13, no. 3 (2017): 1–24. http://dx.doi.org/10.4018/ijdwm.2017070101.

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Join operation is one of the most used operations in database management systems, including spatial databases. Hence, spatial join queries are very important in spatial database processing. There are many different kinds of spatial join queries, due to the richness in spatial data types and spatial operations. Therefore, it is important to understand the full spectrum of spatial join queries. The aim of this paper is to give a classification to one family type of spatial join, called the Distance-based Spatial Join. In the taxonomy, the authors divide this spatial join into three categories: (

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Hong, Jun, Tao Wen, and Quan Guo. "Query Authentication of Outsourced Spatial Database." International Arab Journal of Information Technology 17, no. 4 (2020): 539–47. http://dx.doi.org/10.34028/iajit/17/4/12.

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Outsourcing spatial database to a third party is becoming a common practice for more and more individuals and companies to save the cost of managing and maintaining database, where a data owner delegates its spatial data management tasks to a third party and grants it to provide query services. However, the third party is not full trusted. Thus, authentication information should be provided to the client for query authentication. In this paper, we introduce an efficient space authenticated data structure, called Verifiable Similarity Indexing tree (VSS-tree), to support authenticated spatial q

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Yu Xia, and Bisong Hu. "Spatial Buffer Query for Geospatial Database." International Journal of Advancements in Computing Technology 5, no. 5 (2013): 444–52. http://dx.doi.org/10.4156/ijact.vol5.issue5.54.

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Sun, Yun Peng. "Spatial Data Topology in GIS Database." Advanced Materials Research 433-440 (January 2012): 3858–62. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3858.

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Topology and its various benefits and functionality are fairly well understood within the context of 2D Geographical Information Systems. We summarize the principle of common 2D topology and the implementation of GIS databases. Existing topological frameworks and data models as a staring point to guide the review process, three key areas were studied for the purposes of requirements identification, namely existing 2D topological systems. However requirements in 3D have yet to be defined, with factors such as lack of familiarity with the potential of such functionality of 3D systems impeding th

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G�ting, Ralf Hartmut. "An introduction to spatial database systems." VLDB Journal 3, no. 4 (1994): 357–99. http://dx.doi.org/10.1007/bf01231602.

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Mainguenaud, Michel. "Consistency of spatial database query results." Computers, Environment and Urban Systems 18, no. 5 (1994): 333–42. http://dx.doi.org/10.1016/0198-9715(94)90015-9.

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Muhammad Harum, Muhammad Harum. "STUDI PEMETAAN DATA BASE SPASIAL PENGGUNAAN LAHAN BERBASIS SISTEM INFORMASI GEOGRAFIS DI KELURAHAN BAURUNG." BANDAR: JOURNAL OF CIVIL ENGINEERING 2, no. 2 (2020): 23–30. http://dx.doi.org/10.31605/bjce.v2i2.547.

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 ABSTRACT: Geographic Information Systems not only handle maps or images, but most importantly is the ability to handle large volumes of databases. The database concept is the center of a Geographic Information System and is a simple system that can only produce output in the form of geographical and spatial data from a region. The Geographical Information System Database (GIS) is formed having a spatial data topology structure, and can be used as basic data. The database is formed automatically from the results of surveys and measurements and the results of digitization of high-resoluti

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Kostadinova, Sofia, Boris Markov, and Nikolay Petrov. "Simple queries - Simple answers. First steps in the spatial databases." Journal of the Bulgarian Geographical Society 39 (November 13, 2018): 83–87. https://doi.org/10.3897/jbgs.2018.39.16.

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Все по-голямото прилагане на географските информационни системи води до натрупване на информация, която налага нейната систематизация и подредба във вид подходящ за многократно ползване. Пространствените бази данни са мощен инструмент, който освен съхранение на данните в подреден вид, позволява различни потребители да извличат информация полезна за взимането на решенияи решаване на проблеми, планиране и др.

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Xiao, Zhiyong, Mouloud Adel, and Salah Bourennane. "Bayesian Method with Spatial Constraint for Retinal Vessel Segmentation." Computational and Mathematical Methods in Medicine 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/401413.

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A Bayesian method with spatial constraint is proposed for vessel segmentation in retinal images. The proposed model makes the assumption that the posterior probability of each pixel is dependent on posterior probabilities of their neighboring pixels. An energy function is defined for the proposed model. By applying the modified level set approach to minimize the proposed energy function, we can identify blood vessels in the retinal image. Evaluation of the developed method is done on real retinal images which are from the DRIVE database and the STARE database. The performance is analyzed and c

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Vishnupriya, B. A., N. Senthamarai, and S. Bharathi. "Efficient NN Spatial Keyword Search Using Spatial Inverted (SI) Index." International Journal of Engineering & Technology 7, no. 2.19 (2018): 17. http://dx.doi.org/10.14419/ijet.v7i2.19.12101.

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"Spatial information mining", or learning revelation in spatial database, alludes to the illustration out of concealed information, spatial relations, or different examples that are not unequivocally put away in spatial databases. To get to the spatial database alongside the catchphrase another kind of inquiry called spatial watchword question is utilized. A spatial watchword inquiry get client area and client given catchphrases as contentions and gives web protests that are spatially and literarily material to these information. The current answers for such inquiries depend on IR2-tree that h

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Jaziri, Wassim, Najla Sassi, and Dhouha Damak. "Using Temporal Versioning and Integrity Constraints for Updating Geographic Databases and Maintaining Their Consistency." Journal of Database Management 26, no. 1 (2015): 30–59. http://dx.doi.org/10.4018/jdm.2015010102.

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The use of geographic data has become a widespread concern, mainly within applications related to spatial planning and spatial decision-making. Therefore, changing environments require databases adaptable to changes that occur over time. Thus, supporting geographic information evolution is essential and extremely important within changing environments. The evolution is expressed in the geographic database by series of update operations that should maintain its consistency. This paper proposes an approach for updating geographic databases, based on update operators and algorithms of constraints

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Wijaya, A. P., A. L. Nugraha, A. Sukmono, and H. S. Firdaus. "Study on the analysis of demographic data based on spatial information systems." IOP Conference Series: Earth and Environmental Science 1098, no. 1 (2022): 012029. http://dx.doi.org/10.1088/1755-1315/1098/1/012029.

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Abstract The demography database system should be very useful for various purposes in resolving socio-economic problems, such as the distribution of charity, especially for people affected by the Covid-19 pandemic. But unfortunately, the demography database system in Indonesia still has many problems. Things to consider are that there is no integration between databases at the central and local governments, and there is no synchronization of data between institutions. The next problem is that our demographic database system is not based on spatial information. Therefore, we need a demography d

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Xie, Jiong, Zhen Chen, Jianwei Liu, et al. "Ganos." Proceedings of the VLDB Endowment 15, no. 12 (2022): 3483–95. http://dx.doi.org/10.14778/3554821.3554838.

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Recently, the trend of developing digital twins for smart cities has driven a need for managing large-scale multidimensional, dynamic, and scene-oriented spatial data. Due to larger data scale and more complex data structure, queries over such data are more complicated and expensive than those on traditional spatial data, which poses challenges to the system efficiency and deployment costs. The existing spatial databases have limited support in both data types and operations. Therefore, a new-generation spatial database with excellent performance and effective deployment costs is needed. This

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Kim, Dong-Oh, Lei Liu, In-Su Shin, Jeong-Joon Kim, and Ki-Joon Han. "Spatial TinyDB: A Spatial Sensor Database System for the USN Environment." International Journal of Distributed Sensor Networks 9, no. 8 (2013): 512368. http://dx.doi.org/10.1155/2013/512368.

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Liping, Zhang, Li Song, Liu Lei, Yu Jiaxi, Li Shuang, and Fan Ruiguang. "Research on the Dynamic Complex Spatial Network Relations in Spatial Database." International Journal of Database Theory and Application 9, no. 11 (2016): 233–44. http://dx.doi.org/10.14257/ijdta.2016.9.11.21.

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Ajmar, A., E. Arco, and P. Boccardo. "A SPATIAL DATABASE MODEL FOR MOBILITY MANAGEMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1495–502. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1495-2019.

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<p><strong>Abstract.</strong> In urban and metropolitan context, Traffic Operations Centres (TOCs) use technologies as Geographic Information Systems (GIS) and Intelligent Transport Systems (ITS) to tackling urban mobility issue. Usually in TOCs, various isolated systems are maintained in parallel (stored in different databases), and data comes from different sources: a challenge in transport management is to transfer disparate data into a unified data management system that preserves access to legacy data, allowing multi-thematic analysis. This need of integration between sy

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PENG, X., and Z. HUANG. "Enabling Semantic Queries Against the Spatial Database." Advances in Electrical and Computer Engineering 12, no. 1 (2012): 45–50. http://dx.doi.org/10.4316/aece.2012.01008.

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Otair, Mohammed. "Effectively and Efficiency Consideration for Spatial Database." International Journal of Computer Applications 74, no. 18 (2013): 32–37. http://dx.doi.org/10.5120/12987-0232.

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Gotlib, Dariusz, and Miłosz Gnat. "SPATIAL DATABASE MODELING FOR INDOOR NAVIGATION SYSTEMS." Reports on Geodesy and Geoinformatics 95, no. 1 (2013): 49–63. http://dx.doi.org/10.2478/rgg-2013-0012.

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Abstract For many years, cartographers are involved in designing GIS and navigation systems. Most GIS applications use the outdoor data. Increasingly, similar applications are used inside buildings. Therefore it is important to find the proper model of indoor spatial database. The development of indoor navigation systems should utilize advanced teleinformation, geoinformatics, geodetic and cartographical knowledge. The authors present the fundamental requirements for the indoor data model for navigation purposes. Presenting some of the solutions adopted in the world they emphasize that navigat

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Kureneva, Nina I., and Sergey V. Gutarev. "Creating the EMERCOM of Russia Spatial Database." Технологии гражданской безопасности 15, no. 2 (2018): 20–24. http://dx.doi.org/10.54234/cst.19968493.2018.15.2.56.3.20.

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Benson, Dan, and Greg Zick. "Symbolic and spatial database for structural biology." ACM SIGPLAN Notices 26, no. 11 (1991): 329–39. http://dx.doi.org/10.1145/118014.117979.

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宋, 伟伟. "Discussion on Teaching of “Spatial Database Theory”." Geomatics Science and Technology 03, no. 01 (2015): 1–5. http://dx.doi.org/10.12677/gst.2015.31001.

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TamilSelvi, M., and R. Renuga. "Approximate String Search in Large Spatial Database." Procedia Computer Science 47 (2015): 92–100. http://dx.doi.org/10.1016/j.procs.2015.03.187.

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OLIVEIRA, Bruno Rodrigues de, Newton Moreira de SOUZA, Rafael Cerqueira SILVA, and Eleudo Esteves de Araujo SILVA JÚNIOR. "MODELING OF SPATIAL DATABASE FOR GEOTECNICAL DATA." Geosciences = Geociências 41, no. 2 (2022): 335–45. http://dx.doi.org/10.5016/geociencias.v41i02.16009.

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Geotechnical data is often produced and managed by several producers in isolation, in their own formats and standards, which aim to meet the unique needs of specific users. In the Federal District in Brazil there is a large amount of geotechnical data from academic research, public and private sector, but the Government of the Federal District does not have adequate geotechnical information management despite using of that information constantly. This work presents a conceptual model of a geotechnical database, more specifically for field investigations and laboratory tests. For modeling the o

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He, Bi. "Creation and Application of Highway Network Spatial Database." Applied Mechanics and Materials 361-363 (August 2013): 2236–39. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.2236.

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Highway network is the most important transportation facility, informatization is the effictive method to improve the management level of highway network. With GIS, highway network spatial database was built, the process include set the spatial mathmetics foundation, design the structure of database, process the spatial data, build the topological relation and process the property data. And two example of the highway network spatial database application was provided, one is spatial analysis, and the other is traffic information service on internet.

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Lázaro-López, Alberto, María L. González-SanJosé, and Vicente D. Gómez-Miguel. "Una base de datos espacial integrada en un Sistema de Información Geográfica para la gestión del terroir: un nuevo sistema consistente e interactivo." E3S Web of Conferences 50 (2018): 02008. http://dx.doi.org/10.1051/e3sconf/20185002008.

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Methodology of the Integrated Zoning of the Terroir involve the generation and management of a high volume of big size data that are interrelated conceptually and spatially, of which its analysis and storage is necessary. These actions are critical in the investigation process and, therefore, there is a special interest in an effectively and efficiently data management. The databases are widely used because of their capabilities on integrity, consistency, redundancy and independence of data management as a method for optimizing resources, so the main goal is to develop a spatial database that

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Hasani, S., A. Sadeghi-Niaraki, and M. Jelokhani-Niaraki. "SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACH." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 11, 2015): 293–96. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-293-2015.

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In today's world, the necessity for spatial data for various organizations is becoming so crucial that many of these organizations have begun to produce spatial data for that purpose. In some circumstances, the need to obtain real time integrated data requires sustainable mechanism to process real-time integration. Case in point, the disater management situations that requires obtaining real time data from various sources of information. One of the problematic challenges in the mentioned situation is the high degree of heterogeneity between different organizations data. To solve this issue, we

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Lee, Jong-Hak, and Byeong-Gwon Park. "A Physical Database Design Method for Access Structures of Spatial Database Systems." KIPS Transactions:PartD 9D, no. 2 (2002): 203–14. http://dx.doi.org/10.3745/kipstd.2002.9d.2.203.

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Nindito, Hendro. "MENGOPTIMALKAN ORACLE SPASIAL UNTUK ANALISIS KEDEKATAN GEOGRAFIS." Infotech: Journal of Technology Information 10, no. 2 (2024): 273–78. https://doi.org/10.37365/jti.v10i2.318.

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The study explores the utilization of Oracle Spatial in the determination of the shortest path between locations. This is very important for the analysis and management of geographic information. Its ability to handle multiple attributes, rasters, and vectors, is greatly enhanced by its support for data management. The objective of the study is to find the closest locations of Binus BB S and Binus Square to investigate the use of Oracle's Geospatial technology. The research entails populating a table with geometry clusters, performing spatial queries, and capturing data. The study utilized SDO

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Liang, Hong, Zhen Feng Suo, and Ying Han. "Design and Develop City Space Database Based on the Network CASE Tool." Advanced Materials Research 518-523 (May 2012): 5868–72. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.5868.

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Geodatabase data model is the spatial database model of the topological structure, which can accurately describe the underground pipeline space information in city. How to use Case tool and UML to expand Geodatabase model to establish a meet the demand of underground space database of kunming drainage pipeline,through analyzing the characteristics of the structure of kunming underground pipe. It is practiced that using Case tools and UML to extend the data model, not only to graphically design the database model with the graphic, but also clearly express the relationship between the various el

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