An Automatic Approach for Topic Maps Development Using Relational Databases
Topic Maps are a Semantic Web technology for semantic annotation of resources to enhance the quality of search output. Manual development of topic maps is a difficult and time consuming task. Furthermore, there are many relational databases with valuable data that semantic search methods cannot use them. To solve this problem, this paper proposed a novel automatic approach to generate topic map from database schema. In this method each part of relational database is transformed to a suitable element in topic map data model. The proposed model is implemented and then applied on a relational database. The resulted topic map validated using the freely available Topic Maps editor, TM4L.
topic maps ontology information retrieval relational database
Saeedch Eslami Eslam Nazami
Electrical, Computer and IT Engineering Dept.Islamic Azad University, Qazvin Branch (QIAU)Qazvin, Ir Electrical and Computer Engineering Dept Shahid Beheshti University Tehran, Iran
国际会议
上海
英文
304-308
2011-03-11（万方平台首次上网日期，不代表论文的发表时间）