Automatic Knowledge Discovery and Semantic Annotation for Web Services

被引：1

作者：

Lin, Szu-Yin ^{[1
]}

Chung, Chia-Chen ^{[2
]}

Hu, Wei-Che ^{[1
]}

Hung, Chihli ^{[1
]}

机构：

[1] Chung Yuan Christian Univ, Dept Informat Management, Taoyuan, Taiwan

[2] Natl Chiao Tung Univ, Inst Informat Management, Hsinchu, Taiwan

来源：

2015 IEEE 12TH INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING (ICEBE) | 2015年

关键词：

Web Services; Semantic Annotation; Knowledge Discovery in Services; OWL-S;

D O I：

10.1109/ICEBE.2015.69

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

OWL-S (formally DAML-S) is an OWL-based Web services ontology, which gives the ability for describing the semantics of Web services and their capabilities in a formal and machine-processable manner. Moreover, it is helpful to semantic services matching, selection, and composition. However, it is a very complicated and heavy task to annotate semantic Web services manually by human. In this paper, we proposed a methodology to discover knowledge from the history data and profiles of Web services, and then semantic annotate them automatically. With the proposed approach, semantic relations between Web services could be extracted by combining association rules and input/output matching. We also give a scenario to explain how the proposed methodology works.

引用

页码：371 / 376

页数：6

共 9 条

[1]

[Anonymous], J COMPUTATIONAL INFO

[2]

[Anonymous], INT C WEB SERV ICWS

[3] Knowledge Discovery in Services (KDS): Aggregating Software Services to Discover Enterprise Mashups [J].