YANG Yuehua, DU Junping, HE Bowei, “A Novel Ontology-Based Semantic Retrieval Model for Food Safety Domain,” Chinese Journal of Electronics, vol. 22, no. 2, pp. 247-252, 2013,
Citation: YANG Yuehua, DU Junping, HE Bowei, “A Novel Ontology-Based Semantic Retrieval Model for Food Safety Domain,” Chinese Journal of Electronics, vol. 22, no. 2, pp. 247-252, 2013,

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

Funds:  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).
  • Received Date: 2012-02-01
  • Rev Recd Date: 2012-03-01
  • Publish Date: 2013-04-25
  • 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 information 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 semantic relationships between food safety domain concepts. Then the lexicon for words segmentation is expanded based on the food safety domain ontology to return more accurate preprocessing results of queries. Finally semantic query expansion and sorting algorithm of search results based on concepts similarity computation model are implemented 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 retrieval method.
  • loading
  • Lin Guixia, Hu Demin, "Ontology-based semantic search model design and implementation", Microcomputer Information, Vol.27, No.3, pp.233-235, 2011.
    Tim Berners-Lee, James Hendler, Ora Lassila, "The semantic web", Scientific American, Vol.284, No.5, pp.34-43, 2001.
    David W. Embley, M. Campbell, D. Randy, "Ontology-based extraction and structuring of information from data-rich unstructured documents", Proc. of The 7th International Conference on Information and Knowledge Management, Bethesda, Maryland, USA, pp.52-59, 1998.
    Jia Xuefeng, Wang Jianxin, Qi Jiandong, Zhu Lijun, "Intelligent retrieval model based on domain ontology", Computer Engineering, Vol.36, No.23, pp.171-173, 176, 2010.
    Li Xinye, Yuan Jinsha, "A fast semantic search algorithm for XML data", Acta Electronica Sinica, Vol.35, No.11, pp.2220- 2225, 2007. (in Chinese)
    Qiao Yanan, Qi Yong, "Predicting query performance using semantic chart", Acta Electronica Sinica, Vol.39, No.3A, pp.158- 162, 2011. (in Chinese)
    Li Weijiang, Zhao Tiejun, Wang Xiangang, "Query expansion with statistical machine translation", Chinese Journal of Electronics, Vol.17, No.1, pp.48-52, 2008.
    Luis Iribarne, Nicolas Padilla, José Andrés Asensio et al., "Open-environmental ontology modeling", IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems And Humans, Vol.41, No.4, pp.730-745, 2011.
    Garcia-Crespo, B. Ruiz-Mezcua, J.L. Lopez-Cuadrado, I. Gonzalez-Carrasco, "Semantic model for knowledge representation ine-business", Knowledge-Based Systems, Vol.24, pp.282- 296, 2011.
    T. Gruber, "A translation approach to portable ontology specifications", Knowledge Acquisition, Vol.5, No.2, pp.199-220, 1993.
    Zhong Xiuqin, Fu Hongguang, Yu Li, Huang Bin, "Geometry knowledge acquisition and representation on ontology", Chinese Journal of Computers, Vol.33, No.1, pp.167-174, 2010.
    Yuhjen Chen, "Development of a method for ontology-based empirical knowledge representation and reasoning", Decision Support Systems, Vol.50, No.1, pp.1-20, 2010.
    H. Vernon Leighton, Jaideep Srivastava, "Precision among world wide web search services (Search engines): Alta Vista, Excite, Hotbot, Infoseek, Lycos", http://www.winona.edu/library/staff/vl/webind2/webind2.htm.
    Conghui Zhang, Shubo Zhan, "Research and implementation of full-text retrieval system using compass based on lucence", American Journal of Engineering and Technology Research, Vol.11, No.9, pp.1120-1126, 2011.
  • 加载中


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (592) PDF downloads(1458) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint