Domain Constraints-Driven Automatic Service Composition for Online Land Cover Geoprocessing
Bibliographic Data
| ID | 22032181 |
|---|---|
| Authors | Huaqiao Xing (0000-0002-8748-1729, Shandong Jianzhu University), Chang Liu (0000-0002-1198-6990, Shandong Jianzhu University), Rui Li (0000-0001-9744-7965, Wuhan University), Haihang Wang (0000-0002-4575-5517, Shandong Jianzhu University), Jinhua Zhang (0000-0002-0182-4306, Shandong Jianzhu University), Huayi Wu (0000-0003-3971-0512, Wuhan University, corresponding author) |
| Year | 2022 |
| Volume | 11 |
| Issue | 12 |
| Pages | 629 |
| Publication date | 2022-12-18 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi11120629 |
| OpenAlex | W4313411009 |
| Language | EN |
| Citations received | 1 |
| References cited | 44 |
With the rapid development of web service technology, automatic land cover web service composition has become one of the key challenges in solving complex geoprocessing tasks of land cover. Service composition requires the creation of service chains based on semantic information about the services and all the constraints that should be respected. Artificial intelligence (AI) planning algorithms have recently significantly progressed in solving web service composition problems. However, the current approaches lack effective constraints to guarantee the accuracy of automatic land cover service composition. To address this challenge, the paper proposes a domain constraints-driven automatic service composition approach for online land cover geoprocessing. First, a land cover service ontology was built to semantically describe land cover tasks, data, and services, which assist in constructing domain constraints. Then, a constraint-aware GraphPlan algorithm was proposed, which constructs a service planning graph and searches services based on the domain constraints for generating optimal web service composition solutions. In this paper, the above method was integrated into a web prototype system and a case study for the online change detection automatic geoprocessing was implemented to test the accuracy of the method. The experimental results show that with this method, a land cover service chain can generate automatically by user desire objective and domain constraints, and the service chain execution result is more accurate
Database · Geoprocessing · Land cover · Land use · OWL-S · Semantic Web Stack · Service design · Service provider · Web Coverage Service · Web mapping · Web modeling · Web service · World Wide Web · Computer Science · Engineering · Geographic Information Systems Studies · Semantic Web and Ontologies · Service-Oriented Architecture and Web Services
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |