标题：Agricultural Policy-Oriented Ontology-based Semantic Information Retrieval
作者：Zhu, Hongmei; Liang, Yongquan; Tian, Qijia; Ji, Shujuan
作者机构：[Zhu, Hongmei; Liang, Yongquan; Tian, Qijia; Ji, Shujuan] Shandong Univ Sci & Technol, Coll Informat Sci & Engn, Qingdao, Shandong, Peoples R China.
会议名称：International Conference on Advanced Measurement and Test (AMT 2010)
会议日期：MAY 15-16, 2010
来源：ADVANCED MEASUREMENT AND TEST, PARTS 1 AND 2
关键词：index ontology; semantic Information retrieval; semantic annotation;; information extraction; ontology management
摘要：Research on architecture of ontology-based information semantic representation and Retrieval is done. As a case study, a prototype for agricultural policy-oriented ontology-based semantic information retrieval system (APOSIRS) is established. Ontology plays a role that providing a shared terminology and supporting for the retrieval process. The architecture allows APOSIRS-based applications to perform automatic semantic information Retrieval of agricultural policy text at more length: automatic and dynamic semantic annotation of unstructured and semi-structured content, semantically-enabled information extraction, indexing, retrieval, as well as ontology management, such as querying and modifying the underlying ontology and knowledge bases. Main components of this architecture have been implemented and their results are reported.