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The case knowledge retrieval algorithm applied research

Author: ZhaoXiaoHui
Tutor: WuJiang
School: Northwestern University
Course: Computer Software and Theory
Keywords: The sentence vector space model Text Case Retrieval The key sentence Domain Keywords library Parallel computing
CLC: TP391.3
Type: Master's thesis
Year: 2010
Downloads: 149
Quote: 1
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Abstract


In daily life , people often need to retrieve historical experience and knowledge as a reference to solve the current problems . The accumulated experience of human cognitive processes and methods , mostly in the form of unstructured text case to save . The visible text case retrieval has become the demand of the information age . This paper focuses on the text case retrieval algorithm and its application , completed work includes : 1 ) the text case . Granulated analysis of the text case according to the particle size characteristics of the text of the case itself , in the light of information granulation process , the application of granular computing strategy thoughts from different levels of observation , combined with the human sentence as a unit to understand the characteristics of the language proposed in sentences vector space model to quantify the representation size from the word to the sentence , and added a simple semantic information of text case . 2 ) The text of case retrieval algorithm . Through the analysis of case retrieval in size principle , case retrieval process abstraction process of granular computing proposed retrieval algorithm based on the the sentence vector space model of text case , the experiment proved that the algorithm is feasible and to improve the retrieval effect . 3 ) The text of case retrieval algorithm improvements . First, the problem of excessive information redundancy , thus affecting the text case retrieval efficiency and speed of retrieval , draw 80/20 rule put forward the idea of key sentence extraction , and apply the idea to improve the retrieval algorithm , the experiment proved that the improved algorithm improve retrieval speed while improving retrieval effectiveness ; followed in the retrieval process domain knowledge , and put forward the idea of building a field Keywords library , case of text retrieval algorithm again improved experiments show improved algorithm to improve the retrieval efficiency . 4) the search speed increase. Retrieval process time consuming due to the sheer Case Knowledge Base . MPI-based parallel computing platform designed and implemented a text case retrieval algorithm parallelization to improve the retrieval speed . 5 ) the realization of the text case knowledge retrieval system . Case in the text retrieval algorithm based on the overall architecture of the system and workflow is given a detailed description of the design and implementation of the major functional modules , and finally give the system prototype , validate the feasibility of the model and algorithm of this study .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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