scholarly journals Terra Populus’ architecture for integrated big geospatial services

2017 ◽  
Vol 21 (3) ◽  
pp. 546-559 ◽  
Author(s):  
David Haynes ◽  
Steve Manson ◽  
Eric Shook
Keyword(s):  
Geospatial Services

scholarly journals SEMANTIC DESCRIPTION FOR THE TAXONOMY OF THE GEOSPATIAL SERVICES

2015 ◽  
Vol 21 (3) ◽  
pp. 515-531 ◽  
Author(s):  
Hao Li ◽  
Yandong Wang ◽  
Penggen Cheng
Keyword(s):  
Information System ◽  
World Wide ◽  
Geospatial Data ◽  
Semantic Description ◽  
Matching Method ◽  
The World ◽  
The Hierarchical Structure ◽  
Description Framework ◽  
Geospatial Services ◽  
Readable Format

Abstract:With the advances in the World Wide Web and Geographic Information System, geospatial services have progressively developed to provide geospatial data and processing functions online. In order to efficiently discover and manage the large amount of geospatial services, these services are registered with semantic descriptions and categorized into classes according to certain taxonomies. Most taxonomies for geospatial services are only provided in the human readable format. The lack of semantic description for taxonomies limits the semantic-based discovery of geospatial services. The objectives of this paper are proposing an approach to semantically describe the taxonomy of geospatial services and using the semantic descriptions for taxonomy to improve the discovery of geospatial services. A semantic description framework is introduced for geospatial service taxonomy to describe not only the hierarchical structure of classes but also the definitions for all classes. The semantic description of taxonomy base on this framework is further used to simplify the semantic description and registration of geospatial services and enhance the semantic-based service matching method.

A Hybrid Classification Matching Method for Geospatial Services

2012 ◽  
Vol 16 (6) ◽  
pp. 781-805 ◽  
Author(s):  
Yandong Wang ◽  
Hao Li ◽  
An Luo
Keyword(s):  
Matching Method ◽  
Hybrid Classification ◽  
Geospatial Services

Managing Granularity in Design and Implementation of Geospatial Web Services

2011 ◽  
pp. 18-35 ◽  
Author(s):  
Elias Z. K. Ioup ◽  
John T. Sample
Keyword(s):  
Web Services ◽  
Data Storage ◽  
User Needs ◽  
Design Decisions ◽  
Design And Implementation ◽  
Performance Requirements ◽  
And Performance ◽  
Geospatial Services ◽  
Geospatial Web Services

Granularity is often ignored when designing geospatial Web services. Choices relating to granularity affect service interfaces, data storage and organization, and XML format design. This chapter highlights the importance of analyzing usage and performance requirements when deciding on granularity choices in the design of geospatial Web services. Often, instead of making design decisions based on these requirements, geospatial services are implemented using default, commonly used techniques which may reduce performance, increase complexity, or fail to fully meet user needs. This chapter discusses the importance of granularity in designing and implementing geospatial Web services and provides common examples that highlight the different approaches to granularity which are available.

Distributed Geospatial Processing Services

2011 ◽  
pp. 1186-1193 ◽  
Author(s):  
Carlos Granell ◽  
Laura Díaz ◽  
Michael Gould
Keyword(s):  
Web Services ◽  
Web Service ◽  
Spatial Data ◽  
Geospatial Data ◽  
Service Description ◽  
Service Oriented Architectures ◽  
Data Infrastructure ◽  
Loosely Coupled ◽  
Tightly Coupled ◽  
Geospatial Services

The development of geographic information systems (GISs) has been highly influenced by the overall progress of information technology (IT). These systems evolved from monolithic systems to become personal desktop GISs, with all or most data held locally, and then evolved to the Internet GIS paradigm in the form of Web services (Peng & Tsou, 2001). The highly distributed Web services model is such that geospatial data are loosely coupled with the underlying systems used to create and handle them, and geospatial processing functionalities are made available as remote, interoperable, discoverable geospatial services. In recent years the software industry has moved from tightly coupled application architectures such as CORBA (Common Object Request Broker Architecture?Vinoski, 1997) toward service-oriented architectures (SOAs) based on a network of interoperable, well-described services accessible via Web protocols. This has led to de facto standards for delivery of services such as Web Service Description Language (WSDL) to describe the functionality of a service, Simple Object Access Protocol (SOAP) to encapsulate Web service messages, and Universal Description, Discovery, and Integration (UDDI) to register and provide access to service offerings. Adoption of this Web services technology as an option to monolithic GISs is an emerging trend to provide distributed geospatial access, visualization, and processing. The GIS approach to SOA-based applications is perhaps best represented by the spatial data infrastructure (SDI) paradigm, in which standardized interfaces are the key to allowing geographic services to communicate with each other in an interoperable manner. This article focuses on standard interfaces and also on current implementations of geospatial data processing over the Web, commonly used in SDI environments. We also mention several challenges yet to be met, such as those concerned with semantics, discovery, and chaining of geospatial processing services and also with the extension of geospatial processing capabilities to the SOA world.

Web-Based Geospatial Services

2010 ◽  
pp. 281-297
Author(s):  
Iftikhar U. Sikder ◽  
Aryya Gangopadhyay ◽  
Nikhil V. Shampur
Keyword(s):  
Web Services ◽  
Environmental Planning ◽  
Simulation Models ◽  
Web Based ◽  
Web Mapping ◽  
Collaborative Modeling ◽  
Visualization Tools ◽  
Geospatial Services ◽  
Core Functionality

This chapter characterizes the requirements of Geographic Information Systems (GIS) middleware and its components for dynamic registering and discovering of spatial services specifically for collaborative modeling in environmental planning. The chapter explores the role of Web services with respect to implementation standard and protocols and identifies implementation features for exposing distributed GIS business logic and components via Web services. In particular, the chapter illustrates applications of the interoperability specifications of Open GIS Consortium’s (OGC) Web Mapping Service and (WMS), Web Processing Standards (WPS) with respect to implementation feature. The chapter demonstrates a prototype implementation of collaborative environmental decision support systems (GEO-ELCA- Exploratory Land Use Change Assessment) where Web service-enabled middleware adds core functionality to a Web mapping service. The application demonstrates how individual workspace-based namespaces can be used to perform Web mapping functionality (such as spatial analysis in visualization) through the integration of environmental simulation models to explore collective planning scenario. Built on OGC compliant connector and supports WMS and WPS, the system includes interactive supports for geospatial data query, mapping services and visualization tools for multi-user transactions.

Semantic Interoperability of Geospatial Services

2010 ◽  
pp. 400-421
Author(s):  
Iftikhar U. Sikder ◽  
Santosh K. Misra
Keyword(s):  
Spatial Reasoning ◽  
Spatial Information ◽  
Resource Integration ◽  
Semantic Level ◽  
Collaborative Modeling ◽  
Multiple Data ◽  
Agent Interaction ◽  
Agent Collaboration ◽  
Multi Agent ◽  
Geospatial Services

This article proposes a multi-agent based framework that allows multiple data sources and models to be semantically integrated for spatial modeling in business processing. The paper reviews the feasibility of ontology-based spatial resource integration options to combine the core spatial reasoning with domainspecific application models. We propose an ontology-based framework for semantic level communication of spatial objects and application models. We then introduce a multi-agent system, ontology-based spatial information and resource integration services (OSIRIS), to semantically interoperate complex spatial services and integrate them in a meaningful composition. The advantage of using multi-agent collaboration in OSIRIS is that it obviates the need for end-user analysts to be able to decompose a problem domain to subproblems or to map different models according to what they actually mean. We also illustrate a multi-agent interaction scenario for collaborative modeling of spatial applications using the proposed custom feature of OSIRIS.

Grid Computing and its Application to Geoinformatics

2010 ◽  
pp. 213-221
Author(s):  
Aijun Chen ◽  
Liping Di ◽  
Yuqi Bai ◽  
Yaxing Wei
Keyword(s):  
Grid Computing ◽  
Earth Science ◽  
Grid Architecture ◽  
Research Areas ◽  
Computing Grid ◽  
Open Geospatial Consortium ◽  
Definition Of ◽  
Hourglass Model ◽  
Geospatial Services ◽  
Protocol Architecture

The definition of the Grid computing and its application to geoinformatics are introduced. Not only the comparison of power Grid and computing Grid is illustrated, also Web technology and Grid technology are compared. The Hourglass Model of Grid architecture is depicted. The layered Grid architecture, relating to Internet protocol architecture, consists of the fabric (computer, storage, switches, etc.) layer, connectivity layer, resource layer, collective layer, and application layer. Grid computing has been applied to many disciplines and research areas, such as physics, Earth science, astronomy, bioinformatics, etc. By applying the Grid computing to Open Geospatial Consortium, Inc.’s Web services and geospatial standards from International Organization for Standardization, US Federal Geographic Data Committee and US NASA, a geospatial Grid is proposed here, which consisting of Grid-managed geospatial data and Grid-enabled geospatial services.

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