|
|
|
|
|
| Agricultural Market Name Geo-Locating System Based on an Administrative Ontology and Web Search Engine |
| HU Yi-min, SONG Liang-tu, WEI Yuan-yuan, HUANG He, WANG Xue |
1.Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, P.R.China
2.School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, P.R.China |
|
|
|
摘要 The problem of associating the agricultural market names on web sites with their locations is essential for geographical analysis of the agricultural products. In this paper, an algorithm which employs the administrative ontology and the statistics from the search results were proposed. The experiments with 100 market names collected from web sites were conducted. The experimental results demonstrate that the algorithm proposed obtains satisfactory performance in resolving the problem above, thus the effectiveness of the method is verified.
Abstract The problem of associating the agricultural market names on web sites with their locations is essential for geographical analysis of the agricultural products. In this paper, an algorithm which employs the administrative ontology and the statistics from the search results were proposed. The experiments with 100 market names collected from web sites were conducted. The experimental results demonstrate that the algorithm proposed obtains satisfactory performance in resolving the problem above, thus the effectiveness of the method is verified.
|
|
Received: 28 June 2011
Accepted:
|
| Fund: This research was partly supported by the Knowledge Innovation Program of the Chinese Academy of Sciences. |
|
Corresponding Authors:
Correspondence SONG Liang-tu, Tel: +86-551-5593552, E-mail: ltsong@iim.ac.cn
E-mail: ltsong@iim.ac.cn
|
| About author: HU Yi-min, Tel: +86-551-5591467, E-mail: huyimin@mail.ustc.edu.cn |
Cite this article:
HU Yi-min, SONG Liang-tu, WEI Yuan-yuan, HUANG He, WANG Xue.
2012.
Agricultural Market Name Geo-Locating System Based on an Administrative Ontology and Web Search Engine. Journal of Integrative Agriculture, 11(5): 849-857.
|
| [1]Bolshakov I A, Galicia-Haro S N. 2003. Can we correctly estimate the total number of pages in Google for a specific language? In: Proceedings of 4th International Conference on Computational Linguistics and Intelligent Text Processing. Springer-Verlag Berlin, Heidelberg, Germany. pp. 415-419. [2]Cheng G, Du Q Y. 2008. Ontology for geographical names management and retrieval. In: 2008 International Symposium on Knowledge Acquisition and Modeling. IEEE Computer Society, Washington, D.C., USA. pp. 784-788. [3]Chesnevar C I, Sabate-Carrove M, Maguitman A G. 2006. An argument-based decision support system for assessing natural language usage on the basis of the web corpus. International Journal of Intelligent Systems, 21, 1151-1180. [4]Ding G G, Wang J M, Xu N. 2009. Automatic image annotations by mining web image data. In: Proceedings of 9th IEEE International Conference on Data Mining, IEEE Computer Society, Washington, D.C., USA. pp. 152-157. [5]Du P, Liu Y. 2009. Building place name ontology to assist in geographic information retrieval. In: IFCSTA 2009 Proceedings. vol.1. IEEE Computer Society, Washington, D.C., USA. pp. 306-309. [6]Fu G H, Jones C B, Abdelmoty A I. 2005. Building a geographical ontology for intelligent spatial search on the web. In: Proceedings of IASTED International Conference on Databases and Applications (DBA). Spriner Verlag, Germany. pp. 167-172. [7]Gao H, Huang D G, Yang Y S. 2006. Chinese place names recognition for Chinese automatic segmentation. Journal of Dalian University of Technology, 46, 576-581. (in Chinese) [8]Huang D, Sun Y H. 2006. Automatic recognition of Chinese place names. Computer Engineering, 32, 220-222. (in Chinese) [9]Jacquemont S Jacquenet F, Sebban M. 2007. Correct your text with Google. In: IEEE/WIC/ACM International Conference on Web Intelligence. IEEE Computer Society, Washington, D.C., USA. pp. 170-176. [10]Jones C B, Alani H, Tudhope D. 2001. Geographical information retrieval with ontologies of place. In: Proceedings of the International Conference on Spatial Information Theory. Springer-Verlag London, UK. pp. 322-335. [11]Li C X, Su Y R, Wang R J, Wei Y Y, Huang H. 2012. Structured AJAX data extraction based on agricultural ontology. Journal of Integrative Agriculture, 11, 784-791. [12]Liu D F, Zhou X. 2009. A method of construction of the Chinese and English bilingual translation corpus based on web data mining. In: Asia-Pacific Conference on Information Processing (APCIP 2009). IEEE Computer Society, Washington, D.C., USA. pp. 317-319. [13]Manning C D, Schütze H. 1999. Foundations of Statical Language Processing. The MIT Press, MA, USA. pp. 169-171. [14]Meusel R, Niepert M, Eckert K. 2010. Thesaurus extension using web search engines. In: Proceedings of 12th International Conference on Asia-Pacific Digital Libraries. Springer-Verlag Berlin, Heidelberg, Germany. pp. 198-207. [15]Oger S, Popeseu V, Linares G. 2009. Probabilistic and possibilistic language models based on the world wide web. In: Proceedings of 10th Interspeech 2009 Conference. Springer, Germany. pp. 2651-2654. [16]Ohshima H, Oyama S, Tanaka K. 2006. Searching coordinate terms with their context from the web. In: Proceedings of 7th International Conference on Web Information Systems Engineering. Springer-Verlag Berlin, Germany. pp. 40-47. [17]Renouf A, Kehoe A, Banerjee J. 2007. WebCorp: an integrated system for web text search. In: Symposium on Corpus Linguistics-Perspective for the Future. Rodopi, Heidelberg. pp. 47-67. [18]Su Y R, Wang R J, Chen P, Wei Y Y, Li C X, Hu Y M. 2012. Agricultural ontology based feature optimization for agricultural text clustering. Journal of Integrative Agriculture, 11, 752-759. [19]Suzuki M, Kajiura Y, Ito A. 2006. Unsupervised language model adaptation based on automatic text collection from WWW. In: Proceedings of 9th International Conference on Spoken Language Processing/ Interspeech 2006. Curran Associates, Inc., USA. pp. 2202-2205. [20]Soo V W, Lin C Y. 2001. Ontology-based information retrieval in a multi-agent system for digital library. In: Proceeding of the Sixth Conference on Artificial Intelligence and Applications. IEEE Computer Society, Washington, D.C., USA. pp. 241-246. [21]Sheng L, Cai Z J, Tan L. 2008. Study on ontology-based integration strategy and methods for PMS. In: International Conference on Automation and Logistics. IEEE Computer Society, Washington, D.C., USA. pp. 1254-1259. [22]Wei Y Y, Wang R J, Hu Y M, Wang X. 2012. From web resources to agricultural ontology: a method for semiautomatic construction. Journal of Integrative Agriculture, 11, 775-783. [23]Wong W, Liu W, Bennamoun M. 2011. Constructing specialised corpora through analysing domain representativeness of websites. Language Resources And Evaluation, 45, 209-241. [24]Wang J H, Teng J W, Lu W H. 2006. Exploiting the web as the multilingual corpus for unknown query translation. Journal of the American Society for Information Science and Technology, 57, 660-670. [25]Wang Y, Hoffmann A. 2005. Unsupervised bilingual word sense disambiguation using Web statistics. In: Proceedings of 18th Australian Joint Conference on Artificial Intelligence. Springer-Verlag Berlin, Heidelberg, Germany. pp. 1167-1172. [26]Xue N W. 2003. Chinese word segmentation as character tagging. Computational Linguistics and Chinese Language Processing, 8, 29-30. [27]Zeng W, Yan J X. 2006. Design and application of an urban GIS placename location tool. Earth Science-Journal of China University |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
