Error Searching System with Keyword Extraction and Keyword Fuzzy Matching
- 1 Academy of Equipment, Beijing, China
- 2 Academy of Equipment, Beijing, China
- 3 Academy of Equipment, Beijing, China
Abstract
This paper has proposed an error searching method to search the solutions of errors that occurred in the unified commanding platform mix-deployed software (UCPMD). Because those errors belong to different stages or may be happened in different services, applications, IP ports, system software, or different versions of software, and those errors are also can be classified into different types. It is necessary to locate accurate reason that cause an error as well as find out its solution. The proposed error searching system applies Chinese keyword extraction and Chinese fuzzy matching between keywords, which considers the processed keywords as the index to find out the solutions of errors. Besides, the error searching system had made correspondence among errors, reasons, and solutions, and put them to different categories in terms of their characteristics, such that it is easy to manage, search, and use. Among others, we have added specialized thesaurus as the index of keywords, which enriches and completes the searching results. Because of the proposed error searching system evolves keyword extraction and keyword fuzzy matching technologies; it is more accurate to find out user-interested solutions.
- Wang, J.H., Fang, M.D., Gao, J.D., Lu, H.Y. and Dai, C.B. (2006) Basic Principle and Application of On-Board Diagnostics for Gasoline Fuelled Vehicles. Automotive Engineering, 28, 491-494.
- Lu, C., Yang, Y.-H. and Xu, G.-M. (2008) Exploitation of Computer Problem Repair and Require on Web System.
- Wang, L.-X. and Huai, X.Y. (2012) Semantic-Based Keyword Extraction Algorithm for Chinese Text. Computer Engineering, 38.
- Fang, J., Guo, L. and Wang, X.D. (2008) Semantically Improved Automatic Keyphrase Extraction. Computer Science, 35.
- Wang, J.-F., Wu, X.-J., Xia, Y.Q. and Zheng, F. (2007) An Approx-imate String Matching Algorithm for Chinese Information Retrieval Systems. Journal of Chinese information Processing, 21.
- Bai, Y.-C., Fu, W. and Xin, Y. (2014) Research and Simulation of Distributed Search Engine Based on Hadoop and Nutch. The 19th National Young People Communication Academic Annual Symposium.
- Gao, C.J. (2013) Research on Lucene Search Engine Based on PSP-BP Neural Network. China University of Petroleum (East China), Master Degree Thesis.
- Liu, Y.Z. (2005) Research on Chinese Auto Participle Exclude Ambiguity Algorithm. Chongqing University, Master Degree Thesis.
- Hu, H.B. (2015) The Implementation of a Variety of Sorting Methods Based on Lucene. Computer Knowledge and Technology, 11, 57-59. http://en.wikipedia.org/wiki/Damerau-levenshtein_distance