Semantic Web Enabled Intelligent Geoprocessing Service Chaining

2011 ◽  
pp. 310-331
Author(s):  
Peng Yue ◽  
Lianlian He ◽  
Liping Di
Keyword(s):  
Semantic Web ◽  
Knowledge Discovery ◽  
Current Approach ◽  
Geospatial Data ◽  
Use Cases ◽  
Prototype System ◽  
General Process ◽  
Research Issues ◽  
Service Oriented ◽  
Geoprocessing Workflow

In a service-oriented environment, large volumes of geospatial data and diverse geoprocessing functions are accessible as services. An intelligent mechanism is required to facilitate discovery and integration of geospatial data and services so as to enable semi-automated or automated geospatial knowledge discovery. This chapter addresses key research issues for Semantic Web enabled intelligent geoprocessing service chaining. A set of applicable solutions are described, including a common data and service environment, semantic descriptions of geoprocessing services, and a general process for intelligent generation of geoprocessing workflow. Some use cases illustrate the applicability of such solutions. A proof-of-concept prototype system is implemented and some use cases help to demonstrate the applicability of the current approach.

scholarly journals AGENT- AND CLOUD-SUPPORTED GEOSPATIAL SERVICE AGGREGATION FOR FLOOD RESPONSE

2015 ◽  
Vol II-4/W2 ◽  
pp. 13-18 ◽  
Author(s):  
X. Tan ◽  
L. Di ◽  
M. Deng ◽  
A. Chen ◽  
Z. Sun ◽  
...  
Keyword(s):  
Spatial Data ◽  
Service Oriented Architecture ◽  
Data Transfer ◽  
Geospatial Data ◽  
Prototype System ◽  
Service Oriented ◽  
Service Aggregation ◽  
Flood Response ◽  
Low Efficiency ◽  
The Impact

Flooding caused serious losses in China in the past two decades; therefore, responding to and mitigating the impact of flooding is a task of critical importance. The traditional flood response process is usually very time-consuming and labor-intensive. The Service-Oriented Architecture （SOA）-based flood response is a method with low efficiency due to the large volume of geospatial data transfer, and this method cannot meet the real-time requirement of a rapid response to flooding. This paper presents an Agent- and Cloud-supported geospatial service aggregation to obtain a more efficient geospatial service system for the response to flooding. The architecture of this method is designed and deployed on the Cloud environment, and the flooding response prototype system is built on the Amazon AWS Cloud to demonstrate that the proposed method can avoid transferring large volumes of geospatial data or Big Spatial Data. Consequently, this method is able to achieve better performance than that of the SOA-based method.

PROCESS MODEL ONTOLOGY-BASED MATCHMAKING OF SEMANTIC WEB SERVICES

2011 ◽  
Vol 20 (04) ◽  
pp. 357-370 ◽  
Author(s):  
D. PAULRAJ ◽  
S. SWAMYNATHAN ◽  
M. MADHAIYAN
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Process Model ◽  
Service Discovery ◽  
Service Oriented Architecture ◽  
Semantic Web Services ◽  
Functional Part ◽  
Service Oriented ◽  
Concise Description

One of the key challenges of the Service Oriented Architecture is the discovery of relevant services for a given task. In Semantic Web Services, service discovery is generally achieved by using the service profile ontology of OWL-S. Profile of a service is a derived, concise description and not a functional part of the semantic web service. There is no schema present in the service profile to describe the input, output (IO), and the IOs in the service profile are not always annotated with ontology concepts, whereas the process model has such a schema to describe the IOs which are always annotated with ontology concepts. In this paper, we propose a complementary sophisticated matchmaking approach which uses the concrete process model ontology of OWL-S instead of the concise service profile ontology. Empirical analysis shows that high precision and recall can be achieved by using the process model-based service discovery.

scholarly journals Research on Efficacy Evaluation of Large-Scale Networked Intelligent Perception System

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Suqiong Ge ◽  
Xiaopeng Huang
Keyword(s):  
Evaluation System ◽  
Large Scale ◽  
Task Demands ◽  
Prototype System ◽  
Engineering System ◽  
Conceptual System ◽  
Efficacy Evaluation ◽  
Perception System ◽  
Service Oriented ◽  
Evaluation Platform

Under the smart engineering system (SES), there is a huge demand for evaluating the efficacy of a large-scale networked intelligent perception system (IPS). Considering the large-scale, distributed, and networked system characteristics and perception task demands, this paper proposes a conceptual system for IPS efficacy evaluation and, on this basis, designs the architecture of the efficacy evaluation system. A networked IPS model is constructed based on domain ontology, an index system is quickly established for efficacy evaluation, the evaluation methods are assembled automatically, and adaptive real-time organization strategies are generated for networked perception based on efficacy estimate. After exploring these key technologies, a prototype system is created for the service-oriented integrated efficacy evaluation platform and used to verify and integrate research results. The research provides support for the efficacy evaluation theories and methods of large-scale networked IPS.

scholarly journals Semantic Web Policies – A Discussion of Requirements and Research Issues

2006 ◽  
pp. 712-724 ◽  
Author(s):  
P. A. Bonatti ◽  
C. Duma ◽  
N. Fuchs ◽  
W. Nejdl ◽  
D. Olmedilla ◽  
...  
Keyword(s):  
Semantic Web ◽  
Research Issues

Service-Oriented Development of Workflow-Based Semantic Reasoning Applications

2016 ◽  
pp. 687-700
Author(s):  
Alexey Cheptsov ◽  
Stefan Wesner ◽  
Bastian Koller
Keyword(s):  
Semantic Web ◽  
High Performance ◽  
Web Applications ◽  
Heterogeneous Data ◽  
Multiple Sources ◽  
Semantic Reasoning ◽  
Service Oriented ◽  
Cloud Infrastructures ◽  
New Generation ◽  
Reasoning Algorithm

The modern Semantic Web scenarios require reasoning algorithms to be flexible, modular, and highly-configurable. A solid approach, followed in the design of the most currently existing reasoners, is not sufficient when dealing with today's challenges of data analysis across multiple sources of heterogeneous data or when the data amount grows to the “Big Data” sizes. The “reasoning as a workflow” concept has attracted a lot of attention in the design of new-generation Semantic Web applications, offering a lot of opportunities to improve both flexibility and scalability of the reasoning process. Considering a single workflow component as a service offers a lot of opportunities for a reasoning algorithm to target a much wider range of potentially enabled Semantic Web use cases by taking benefits of a service-oriented and component-based implementation. We introduce a technique for developing service-oriented Semantic Reasoning applications based on the workflow concept. We also present the Large Knowledge Collider - a software platform for developing workflow-based Semantic Web applications, taking advantages of on-demand high performance computing and cloud infrastructures.

Semantic Web Services-Based Knowledge Management Framework

2016 ◽  
pp. 429-438
Author(s):  
Vili Podgorelec ◽  
Boštjan Grašič
Keyword(s):  
Knowledge Management ◽  
Web Services ◽  
Semantic Web ◽  
Business Processes ◽  
Service Oriented Architecture ◽  
Semantic Web Services ◽  
Semantic Web Technologies ◽  
Management Framework ◽  
Knowledge Based ◽  
Service Oriented

In this chapter, a Semantic Web services-based knowledge management framework that enables holistic knowledge management in organizations is presented. As the economy is becoming one single global marketplace, where the best offer wins, organizations have to search for competitive advantage within themselves. With the growing awareness that key potentials of an organization lie within its people and their knowledge, efficient knowledge management is becoming one of key focuses in organizational activities. The proposed knowledge management framework is based on Semantic Web technologies and service-oriented architecture, supporting the operational business processes as well as knowledge-based management of services in service-oriented architecture.

Sign in / Sign up

Export Citation Format

Share Document