Hierarchical constraint model for focused geospatial information services

Li, Haifeng; Zhu, Qing; Yang, Xiaoxia

doi:10.1117/12.815446

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different government departments involved in disaster mitigation used various geospatial information techniques to provide decision making support [9]. Using the approaches developed in this paper to find out the damage information in the earthquake region, six steps were implemented based on the PGIS architecture as illustrated in Figure 10.…”

Section: Use Case and Experimentsmentioning

confidence: 99%

“…The problem "data-rich but analysis-poor" [8] is worsening. The fundamental reason behind this problem is not due to the lack of processing approaches to deal with those tremendous datasets, but the shortage of effective sharing, aggregation, and cooperation service mechanisms to handle the sensors, data, and processes focusing on user's complex tasks in near real-time [9].…”

Section: Introductionmentioning

confidence: 99%

“…With regard to the problem mentioned above, this paper presents a service-oriented architecture for Proactive Geospatial Information Service (PGIS) based on our previous works [9][10][11][12]. The PGIS is an aggregation and cooperation mechanism to integrate all the sensor, data, processing, and social resources to satisfy complicated user requirements.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Service-Oriented Architecture for Proactive Geospatial Information Services

2011

Future Internet

View full text Add to dashboard Cite

Abstract:The advances in sensor network, linked data, and service-oriented computing has indicated a trend of information technology, i.e., toward an open, flexible, and distributed architecture. However, the existing information technologies show a lack of effective sharing, aggregation, and cooperation services to handle the sensors, data, and processing resources to fulfill user's complicated tasks in near real-time. This paper presents a service-orientated architecture for proactive geospatial information services (PGIS), which integrates the sensors, data, processing, and human services. PGIS is designed to organize, aggregate, and co-operate services by composing small scale services into service chains to meet the complicated user requirements. It is a platform to provide real-time or near real-time data collection, storage, and processing capabilities. It is a flexible, reusable, and scalable system to share and interoperate geospatial data, information, and services. The developed PGIS framework has been implemented and preliminary experiments have been performed to verify its performance. The results show that the basic functions such as task analysis, managing sensors for data acquisition, service composition, service chain construction and execution are validated, and the important properties of PGIS, including interoperability, flexibility, and reusability, are achieved.

show abstract

Section: Use Case and Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%