文章基本信息

标题：Advanced Tagging and Semantic-Annotation Methods for the Semantic-based OpenAPI Retrieval System
本地全文：下载
作者：Seung-Jun Cha ; Kyu-Chul Lee
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2013
卷号：7
期号：4
出版社：SERSC
摘要：The OpenAPI retrieval system has been developed applying semantic web technologies as the typical information retrieval method had. The semantic web technologies applied in the system are tagging and semantic-annotation. However, these methods are difficult for the non-technical general users to use and the probability of failure is high. To solve these problems we suggest improved methods for the tagging and semantic- annotation. Tagging turn human-readable service description to machine-readable one by adding tags into the page. Through the use of XHTML and DTD modification, auto-completion and auto-view are enabled. Semantic-annotation means to input related semantic information into parameters in the service description. The java-based tool providing methods of target parameters selection and the ontology viewer is developed for annotating easily. Tagging and semantic-annotation are applied and tested through the test-bed system. These improvements enabled non-technical general users to applying semantic information to the OpenAPI retrieval system.
关键词：OpenAPI; Service Retrieval; Tagging; Semantic Annotation