DocumentCode :
235468
Title :
Web service sub-chain recommendation leveraging graph searching
Author :
ZeHui Cheng ; Beibei Yao ; Xiaolei Wang ; Zhangbing Zhou
Author_Institution :
China Univ. of Geosci. (Beijing), Beijing, China
fYear :
2014
fDate :
20-22 Oct. 2014
Firstpage :
271
Lastpage :
275
Abstract :
Nowadays an increasing number of Open Geospatial Consortium Web services (OWSs) is built and being available on the Web for the accessibility and processing of geospatial information. Typically, the specific requirement specified by a certain user can be satisfied by a chain of OWSs. In this setting, retrieving and recommending sub-chains of possible service invocations is critical. Leveraging the semantic similarity between the name and text description of parameters and operations, the degree that represents the invocation possibility between operations in OWSs is calculated. Thereafter, the service network model is constructed that captures the possible invocations between operations. Given a user´s requirement represented in terms of the 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.
Keywords :
Web services; geographic information systems; information retrieval; recommender systems; OWS; geospatial information; open geospatial consortium Web services; service network model; sub-chain recommendation; text description; Computational modeling; Educational institutions; Geology; Geospatial analysis; Semantics; Vectors; Web services; OGC Web Services; Service Network Model; Sub-Chain Recommendation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communications and IT Applications Conference (ComComAp), 2014 IEEE
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4813-0
Type :
conf
DOI :
10.1109/ComComAp.2014.7017209
Filename :
7017209
Link To Document :
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