Formalization and web-based implementation of spatial data fusion

Wiemann, Stefan

doi:10.1016/j.cageo.2016.10.014

Cited by 8 publications

(5 citation statements)

References 33 publications

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“…Such knowledge bases have the potential to lead online geospatial data analysis to a finer scale. For example, a few recent studies have already begun to fuse spatial features in spatial data infrastructures using both W3C and OGC standards (Wiemann and Bernard, 2016;Wiemann, 2017). Given the various subjects and heavy volume of geoscience data and the joint efforts between OGC and W3C, there could be various methods and technologies to add semantics into datasets and data services (cf.…”

Section: Discussionmentioning

confidence: 99%

Linked Geoscience Data in practice: Where W3C standards meet domain knowledge, data visualization and OGC standards

Ma¹

2018

Preprint

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Abstract:The geoscience community is now facing both the challenge and the opportunity caused by the vast amount of datasets that can be made available on the Web. An efficient "data environment" on the Web has the potential to enable geoscientists to conduct their research in ways that never existed before. Standards developed by the Open Geospatial Consortium have already been used widely to build data services among different subjects in geosciences. In recent years, the Linked Open Data approach initiated by the World Wide Web Consortium has received increasing attention. In this paper, the author presents a pilot study that uses a domain specific knowledge base and data visualization techniques to leverage the functionality of geoscience data services in the Web of Data. The study focuses on the topic of the geologic time scale. Detailed works such as semantic modeling and encoding, multilingual vocabularies, exploratory data visualization, web map service and processing, and the query of linked data are introduced through real-world datasets. This study faces a broad perspective of the Linked Geoscience Data and leverages the functionalities of existing standards into a new level for geoscience applications.

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Section: Discussionmentioning

confidence: 99%

Linked Geoscience Data in practice: Where W3C standards meet domain knowledge, data visualization and OGC standards

Ma¹

2018

Preprint

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“…Those challenges include issues related to data imperfection, data correlation, data inconsistency and data disparateness [92]. The data fusion problem in the scope of geospatial data sources has already been formally specified [93]. The spatial attributes of geospatial features from various datasets have to be appropriately combined to achieve data concatenation with possible duplicate elimination, geometric and/or temporal correction, feature enrichment and feature update and difference.…”

Section: Smart Environmental Data Integrationmentioning

confidence: 99%

“…Generalizing those ad-hoc approaches maintaining at the same time the performance in terms of error is the main objective of this challenge. The general data fusion problem has been formalized for vector features [93], and it includes dataset concatenation with possible duplicate elimination [97], data accumulation, feature correction, feature enrichment, and feature update and difference. However, the solution does not consider raster sources and of course, the performance in terms of error may still be improved.…”

Section: Challenge 6: Smart Geospatial Fusion Of Heterogeneous Vectormentioning

confidence: 99%

Smart Environmental Data Infrastructures: Bridging the Gap between Earth Sciences and Citizens

et al. 2020

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The monitoring and forecasting of environmental conditions is a task to which much effort and resources are devoted by the scientific community and relevant authorities. Representative examples arise in meteorology, oceanography, and environmental engineering. As a consequence, high volumes of data are generated, which include data generated by earth observation systems and different kinds of models. Specific data models, formats, vocabularies and data access infrastructures have been developed and are currently being used by the scientific community. Due to this, discovering, accessing and analyzing environmental datasets requires very specific skills, which is an important barrier for their reuse in many other application domains. This paper reviews earth science data representation and access standards and technologies, and identifies the main challenges to overcome in order to enable their integration in semantic open data infrastructures. This would allow non-scientific information technology practitioners to devise new end-user solutions for citizen problems in new application domains.

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“…In the geospatial community, most studies have been concentrated on the manual or semi-automatic composition of OWSs (see References [20][21][22][23][24][25][26][27][28]). However, automatic generation of composite OWSs has received significant attention in recent years.…”

Section: Related Studiesmentioning

confidence: 99%

Multi-Agent Planning for Automatic Geospatial Web Service Composition in Geoportals

Farnaghi

Mansourian

2018

IJGI

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Automatic composition of geospatial web services increases the possibility of taking full advantage of spatial data and processing capabilities that have been published over the internet. In this paper, a multi-agent artificial intelligence (AI) planning solution was proposed, which works within the geoportal architecture and enables the geoportal to compose semantically annotated Open Geospatial Consortium (OGC) Web Services based on users’ requirements. In this solution, the registered Catalogue Service for Web (CSW) services in the geoportal along with a composition coordinator component interact together to synthesize Open Geospatial Consortium Web Services (OWSs) and generate the composition workflow. A prototype geoportal was developed, a case study of evacuation sheltering was implemented to illustrate the functionality of the algorithm, and a simulation environment, including one hundred simulated OWSs and five CSW services, was used to test the performance of the solution in a more complex circumstance. The prototype geoportal was able to generate the composite web service, based on the requested goals of the user. Additionally, in the simulation environment, while the execution time of the composition with two CSW service nodes was 20 s, the addition of new CSW nodes reduced the composition time exponentially, so that with five CSW nodes the execution time reduced to 0.3 s. Results showed that due to the utilization of the computational power of CSW services, the solution was fast, horizontally scalable, and less vulnerable to the exponential growth in the search space of the AI planning problem.

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Formalization and web-based implementation of spatial data fusion

Cited by 8 publications

References 33 publications

Linked Geoscience Data in practice: Where W3C standards meet domain knowledge, data visualization and OGC standards

Linked Geoscience Data in practice: Where W3C standards meet domain knowledge, data visualization and OGC standards

Smart Environmental Data Infrastructures: Bridging the Gap between Earth Sciences and Citizens

Multi-Agent Planning for Automatic Geospatial Web Service Composition in Geoportals

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