Ontology-based information retrieval and extraction

Chen Yu Lee*, Von Wun Soo

*此作品的通信作者

研究成果: 圖書/報告稿件的類型會議稿件同行評審

8 引文 斯高帕斯(Scopus)

摘要

Using domain knowledge and semantics to conduct effective information retrieval (IR) is one of the major challenges in IR. In this paper we introduce a framework that can facilitate information retrieval based on a sharable domain ontology. Specifically we conduct semantic annotation on the descriptive metadata of images or articles and convert metadata automatically into machine readable format in terms of semantic web representation. The retrieval of an image instance or information extraction of an historic question can then be conducted by matching the semantic and structural descriptions of the user query based on those of the annotated descriptive metadata. We show that with aid of domain ontology, an IR system can achieve a better performance than the keyword-based information retrieval systems.

原文英語
主出版物標題ITRE 2005 - 3rd International Conference on Information Technology
主出版物子標題Research and Education - Proceedings
頁面265-269
頁數5
DOIs
出版狀態已出版 - 2005
對外發佈
事件ITRE 2005 - 3rd International Conference on Information Technology: Research and Education - Hsinchu, 台灣
持續時間: 27 06 200530 06 2005

出版系列

名字ITRE 2005 - 3rd International Conference on Information Technology: Research and Education - Proceedings
2005

Conference

ConferenceITRE 2005 - 3rd International Conference on Information Technology: Research and Education
國家/地區台灣
城市Hsinchu
期間27/06/0530/06/05

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