Sökning: onr:"swepub:oai:lup.lub.lu.se:8c520ad4-9c60-4d36-861c-f34f307c0b4b" >
Multi-Agent Plannin...
-
Farnaghi, MahdiLund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science,K. N. Toosi University of Technology
(författare)
Multi-Agent Planning for Automatic Geospatial Web Service Composition in Geoportals
- Artikel/kapitelEngelska2018
Förlag, utgivningsår, omfång ...
-
2018-10-12
-
MDPI AG,2018
-
20 s.
Nummerbeteckningar
-
LIBRIS-ID:oai:lup.lub.lu.se:8c520ad4-9c60-4d36-861c-f34f307c0b4b
-
https://lup.lub.lu.se/record/8c520ad4-9c60-4d36-861c-f34f307c0b4bURI
-
https://doi.org/10.3390/ijgi7100404DOI
Kompletterande språkuppgifter
-
Språk:engelska
-
Sammanfattning på:engelska
Ingår i deldatabas
Klassifikation
-
Ämneskategori:art swepub-publicationtype
-
Ämneskategori:ref swepub-contenttype
Anmärkningar
-
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.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
-
Mansourian, AliLund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Mellanösternstudier,Centrum för Mellanösternstudier (CMES),Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science,Middle Eastern Studies,Centre for Advanced Middle Eastern Studies (CMES),Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences(Swepub:lu)nate-amo
(författare)
-
Institutionen för naturgeografi och ekosystemvetenskapNaturvetenskapliga fakulteten
(creator_code:org_t)
Sammanhörande titlar
-
Ingår i:ISPRS International Journal of Geo-Information: MDPI AG7:102220-9964
Internetlänk
Hitta via bibliotek
Till lärosätets databas