Title :
Analyzing Distribution of Implicit Semantic Information in Web Services
Author :
Xiaocao Hu ; Zhiyong Feng ; Shizhan Chen
Author_Institution :
Tianjin Key Lab. of Cognitive Comput. & Applic., Tianjin Univ., Tianjin, China
Abstract :
Semantic annotation for Web services represents an important approach that transforms Web services into Semantic Web services. This paper analyzes the distribution of implicit semantic information to enhance the understanding about Web services. After quantifying implicit semantic information in Web services, the PCA methodology is utilized for obtaining principal components of implicit semantic information. The experiment conducted on 11836 WSDL documentations shows that almost 97 percent of implicit semantic information is distributed in inputs and outputs. Thus, the evaluation of how much implicit semantic information can be described by semantic annotation is offered.
Keywords :
Web services; information analysis; principal component analysis; semantic Web; service-oriented architecture; PCA methodology; SOA; WSDL documentations; Web services description language; implicit semantic information distribution analysis; principal component analysis; semantic Web services; semantic annotation; Covariance matrices; Documentation; Eigenvalues and eigenfunctions; Semantic Web; Semantics; Vectors; Web services; Distribution of Implicit Semantic Information; Principal Components Analysis; Web Service;
Conference_Titel :
Computer Software and Applications Conference Workshops (COMPSACW), 2013 IEEE 37th Annual
Conference_Location :
Japan
DOI :
10.1109/COMPSACW.2013.122
