Paper Info
Title
A Sub-Chain Ranking and Recommendation Mechanism for Facilitating Geospatial Web Service Composition
Abstract
With a huge volume of geospatial information being collected and a huge number of domain-specific functions being developed for processing these geospatial information, an increasing number of Open Geospatial Consortium Web services OWSs are built and being available on the Web for the accessibility and processing of these information. Given the specific requirement specified by a certain user, normally, a composition or chain of OWSs, rather than a single OWS, can fulfill this requirement. Consequently, retrieving and recommending sub-chains of possible service invocations is an important research challenge. Leveraging the semantic similarity between the name and text description of parameters, a degree that represents the invocation possibility between operations in OWSs is calculated. Thereafter, a service network model is constructed for capturing possible invocations between operations. Given a user's requirement which is represented in terms of a pair of initial and ending operations, possible sub-chains of operations are retrieved, ranked and recommended. Based on which the user can select the most appropriate sub-chain with respect to her specific requirement. The result of evaluation leveraging a real OWSs set indicates that our technique is applicable in real applications from both the functional and performance perspectives.
Year
DOI
Venue
2014
10.4018/ijwsr.2014070103
International Journal of Web Services Research
Keywords
Field
DocType
Geo-Information, Open Geospatial Consortium Web services (OWSs), OWSs Composition, Service Network, Sub-Chain Ranking
Semantic similarity,Geospatial analysis,Data mining,World Wide Web,Information retrieval,Ranking,Computer science,Geospatial web service,Web service,Network model,Web Coverage Service
Journal
Volume
Issue
ISSN
11
3
1545-7362
Citations 
PageRank 
References 
10
0.63
48
Authors
5
Name
Order
Citations
PageRank
Zhangbing Zhou137255.74
Zehui Cheng2203.98
Ke Ning3406.80
Wenwen Li432126.87
Liang-Jie Zhang5982138.17