A Novel Ontology-Based Semantic Retrieval Model for Food Safety Domain  

作　　者：YANG Yuehua DU Junping HE Bowei 

机构地区：[1]Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China

出　　处：《Chinese Journal of Electronics》2013年第2期247-252,共6页电子学报（英文版）

基　　金：This work is supported by the National Basic Research Program of China （973 Program） （No.2012CB821200, No.2012CB821206）, the National Natural Science Foundation of China （No.91024001, No.61070142）, and Beijing Natural Science Foundation （No.4111002）.

摘　　要：Recently, serious food safety events have emerged frequently and food safety issues have caused wide public concern all over the world. To find the needed food safety information for users from the growing information over the Internet, this paper presents an ontology-based semantic retrieval model used in food safety domain in- formation retrieval. Firstly, food safety domain ontology is constructed to represent food safety domain knowledge, which has many advantages, such as sharable, reusable, and scalable. So it is very appropriately to describe the se- mantic relationships between food safety domain concepts. Then the lexicon for words segmentation is expanded based on the food safety domain ontology to return more ac- curate preprocessing results of queries. Finally semantic query expansion and sorting algorithm of search results based on concepts similarity computation model are im- plemented so that more relevant results can come before irrelevant retrieval results. The experiments show that the precision of the retrieval method with the proposed model is higher 25.2% averagely than that of the traditional re- trieval method.

关 键 词：Information retrieval Knowledge rep- resentation Domain ontology Semantic retrieval model Food safety. 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TS201.6[自动化与计算机技术—控制科学与工程]