GML Topology Data Storage Schema Design

2007 ◽  
Vol 11 (6) ◽  
pp. 701-708 ◽  
Author(s):  
Yuzhen Li ◽  
◽  
Jianming Lu ◽  
Jihong Guan ◽  
Mingying Fan ◽  
...  
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
Information Exchange ◽  
Spatial Databases ◽  
Geographical Information ◽  
Markup Language ◽  
Oracle Spatial ◽  
Geographical Data ◽  
Schema Design ◽  
Extensible Markup

Geography Markup Language (GML) was developed to standardize the representation of geographical data in extensible markup language (XML), which facilitates geographical information exchange and sharing. Increasing amounts of geographical data are being presented in GML as its use widens, raising the question of how to store GML data efficiently to facilitate its management and retrieval. We analyze topology data in GML and propose storing nonspatial and spatial data from GML documents in spatial databases (e.g, Oracle Spatial, DB2 Spatial, and PostGIS/PostgreSQL.). We then use an example to analyze the topology relation.

Spatial and Spatiotemporal Data Types as a Foundation for Representing Space-Time Data in GIS

2017 ◽  
pp. 1-28 ◽  
Author(s):  
Markus Schneider
Keyword(s):  
Spatial Data ◽  
Geographical Information Systems ◽  
Moving Objects ◽  
Spatial Databases ◽  
Query Languages ◽  
Geographical Information ◽  
Spatiotemporal Data ◽  
Data Types ◽  
Time Data ◽  
Use Of Data

A data type comprises a set of homogeneous values together with a collection of operations defined on them. This chapter emphasizes the importance of crisp spatial data types, fuzzy spatial data types, and spatiotemporal data types for representing static, vague, and time-varying geometries in Geographical Information Systems (GIS). These data types provide a fundamental abstraction for modeling the geometric structure of crisp spatial, fuzzy spatial, and moving objects in space and time as well as their relationships, properties, and operations. The goal of this chapter is to provide an overview and description of these data types and their operations that have been proposed in research and can be found in GIS, spatial databases, moving objects databases, and other spatial software tools. The use of data types, operations, and predicates will be illustrated by their embedding into query languages.

Mining Spatial Association Rules to Automatic Grouping of Spatial Data Objects Using Multiple Kernel-Based Probabilistic Clustering

2017 ◽  
Vol 26 (3) ◽  
pp. 561-572 ◽  
Author(s):  
Y. Jayababu ◽  
G.P.S. Varma ◽  
A. Govardhan
Keyword(s):  
Association Rules ◽  
Spatial Data ◽  
Spatial Databases ◽  
Spatial Association ◽  
Kernel Functions ◽  
Geographical Information ◽  
Probabilistic Clustering ◽  
Multiple Kernel ◽  
Data Objects ◽  
Automatic Grouping

AbstractWith the extensive application of spatial databases to various fields ranging from remote sensing to geographical information systems, computer cartography, environmental assessment, and planning, discovery of interesting and hidden knowledge in the spatial databases is a considerable chore for classifying and using the spatial data and knowledge bases. The literature presents different spatial data mining methods to mine knowledge from spatial databases. In this paper, spatial association rules are mined to automatic grouping of spatial data objects using a candidate generation process with three constraint measures, such as support, confidence, and lift. Then, the proposed multiple kernel-based probabilistic clustering is applied to the associate vector to further group the spatial data objects. Here, membership probability based on probabilistic distance is used with multiple kernels, where exponential and tangential kernel functions are utilized. The performance of the proposed method is analyzed with three data sets of three different geometry types using the number of rules and clustering accuracy. From the experimentation, the results proved that the proposed multi-kernel probabilistic clustering algorithm achieved better accuracy as compared with the existing probabilistic clustering.

scholarly journals A Google Earth-based database management for schistosomiasis control in Zanzibar

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Ming-Zhen He ◽  
Wei Li ◽  
Saleh Juma ◽  
Fatma Kabole ◽  
Da-Cheng Xu ◽  
...  
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
Spatial Databases ◽  
Pilot Project ◽  
Google Earth ◽  
Snail Host ◽  
Schistosomiasis Control ◽  
Intermediate Snail Host ◽  
Snail Control ◽  
Human Infections

Schistosomiasis remains a serious health problem in Africa. Although a strong, coordinated agenda for research on this disease has been in place for the last 50 years in Zanzibar, data storage, retrieval of survey data and management remain problem areas. We investigated the use of Google Earth (GE) in conjunction with a hand-held, global positioning system as a pilot project for managing schistosomiasis control. In this way, risk areas can be surveyed and followed up by visualizing both the distribution of human infections and that of the intermediate snail host together with environmental information. A platform with three spatial databases was created: i) Distribution of infected humans; ii) Distribution of the intermediate snail host in ponds (infected and not infected specimens); iii) Distribution of the intermediate snail host in streams (infected and non-infected specimens). The GE spatial database increased the efficiency of follow-up case treatment as well as snail control and contributed also to the discovery of previously unknown areas in need of snail control. We conclude that this platform is advantageous not only by being useful for management and visualization of spatial data, but also because it is easy to operate and available free of charge.

Spatial Databases

2017 ◽  
pp. 111-149
Author(s):  
Grace L. Samson ◽  
Joan Lu ◽  
Mistura M. Usman ◽  
Qiang Xu
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
Spatial Databases ◽  
Query Language ◽  
Dimensional Space ◽  
Spatial Database ◽  
Multidimensional Data ◽  
Data Types ◽  
3 Dimensional ◽  
Storage And Retrieval

Spatial databases maintain space information which is appropriate for applications where there is need to monitor the position of an object or event over space. Spatial databases describe the fundamental representation of the object of a dataset that comes from spatial or geographic entities. A spatial database supports aspects of space and offers spatial data types in its data model and query language. The spatial or geographic referencing attributes of the objects in a spatial database permits them to be positioned within a two (2) dimensional or three (3) dimensional space. This chapter looks into the fundamentals of spatial databases and describes their basic component, operations and architecture. The study focuses on the data models, query Language, query processing, indexes and query optimization of a spatial databases that approves spatial databases as a necessary tool for data storage and retrieval for multidimensional data of high dimensional spaces.

An Integrative Review and Synthesis of XBRL Research in Academic Journals

2014 ◽  
Vol 29 (1) ◽  
pp. 115-153 ◽  
Author(s):  
Arif Perdana ◽  
Alastair Robb ◽  
Fiona Rohde
Keyword(s):  
Information Systems ◽  
Information Exchange ◽  
Research Direction ◽  
Integrative Review ◽  
Future Research ◽  
Computer Language ◽  
Markup Language ◽  
Academic Journals ◽  
Business Reporting ◽  
Extensible Markup

ABSTRACT Extensible business reporting language (XBRL) was developed from an established markup computer language (eXtensible Markup Language, XML). XBRL facilitates data and information exchange between different information systems (IS). This important feature has attracted much research since the early 2000s. This article aims to provide a framework for XBRL research's contributions to information systems (IS). An integrative review is needed to draw an overall picture and canvas key findings regarding the various XBRL topics examined in past studies. Such a review also identifies research opportunities and guides future XBRL research. We conducted thematic analysis using an integrative literature review. A sample of 150 XBRL articles obtained from various peer-reviewed academic journals was used to understand past XBRL studies and suggest XBRL's future research direction. This article identifies and proposes four current XBRL research streams; namely, XBRL's impact on business, XBRL's adoption, XBRL's technical development, and XBRL education. This paper then examines the key findings of these XBRL papers, offers several potential areas where further investigation may be warranted, and suggests XBRL research-informed practices.

Spatial Network Databases

2009 ◽  
pp. 307-315 ◽  
Author(s):  
Michael Vassilakopoulos
Keyword(s):  
Information Systems ◽  
Spatial Data ◽  
Computer Aided Design ◽  
Geographical Information Systems ◽  
Large Scale ◽  
Spatial Databases ◽  
Query Language ◽  
Geographical Information ◽  
Data Types ◽  
Large Scale Integration

A Spatial Database is a database that offers spatial data types, a query language with spatial predicates, spatial indexing techniques, and efficient processing of spatial queries. All these fields have attracted the focus of researchers over the past 25 years. The main reason for studying spatial databases has been applications that emerged during this period, such as Geographical Information Systems, Computer-Aided Design, Very Large Scale Integration design, Multimedia Information Systems, and so forth. In parallel, the field of temporal databases, databases that deal with the management of timevarying data, attracted the research community since numerous database applications (i.e., Banking, Personnel Management, Transportation Scheduling) involve the notion of time.

Research on Integrated Data Environment for Aviation Equipments Based on Extensive Interactivity of IETMs

2013 ◽  
Vol 401-403 ◽  
pp. 1964-1967
Author(s):  
Wei Wei Jiang ◽  
Jin Yan ◽  
He Yin ◽  
Xue Qiao Hou ◽  
Liang Zhang
Keyword(s):  
Information Systems ◽  
Information Exchange ◽  
Data Sources ◽  
Markup Language ◽  
Technical Data ◽  
Other Information ◽  
Extensible Markup ◽  
Interactive Interfaces ◽  
Data Environment ◽  
Intermediate Mode

As a focus for the current research in the informatization field, Interactive Electronic Technical Manuals (IETMs) involve all kinds of activities relating to equipment support and diversified extensible interactive interfaces. By studying the interaction of IETMs for aviation equipments with other information systems, IETMs functions can be expanded in terms of maintenance aiding, training aiding and technical data management aiding. By creating an integrated data environment framework of IETMs for aviation equipments with Extensible Markup Language (XML) technology, an intermediate mode, the information exchange and sharing can be achieved between different data sources, and the supportability and supporting capability of aviation equipments can be improved.

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