JAR2ONTOLOGY - A TOOL FOR AUTOMATIC EXTRACTION OF SEMANTIC INFORMATION FROM JAVA OBJECT CODE

摘要：

We present here a novel approach (and its implementation) for the automatic extraction of semantic knowledge from Java libraries. We want to match software libraries, so we need to obtain as much information as possible to use it in the matching process. For this purpose, this approach extracts information about the structure of the classes (i.e., name, fields and hierarchy), as well as information about the behavior of the classes (i.e., methods). In the literature, to our knowledge, it can be only found lightweight approaches to the extraction of this kind of information from Java object code. The approach is implemented in an automatic extraction tool (called Jar2Ontology) that has been developed as a plug-in of the Prot′eg′e Ontology and Knowledge Acquisition System. Jar2Ontology extracts the semantics from Java libraries and translates it into OWL (Ontology Web Language).

关键词： Object code analysis Semantics extraction Java OWL

作者: Nicolás Marín Clara Sáez-(A)rcija M. Amparo Vila

作者单位: Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

会议类型: 国际会议

会议名称: 13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)

会议地点: 北京

会议语种:英文

页码: 2153-2162

在线出版日期: 2011-06-08（万方平台首次上网日期，不代表论文的发表时间）