At present, the FAQ (Frequently-Asked Question) answering system cannot understand the user's questions at the concept level, so its efficiency needs to be improved. In this paper, a model of FAQ answering system based on concept is proposed. The system model consists of three components, which are concept-based preprocessing, extraction of question-answer pairs, and concept-based matching of sentences. On the one hand, the model proposes an index-based extracting method of question-answering pairs, to combine the extraction with the index mechanism for improving the speed of extraction. On the other hand, the model expands the user's question at the concept level, and proposes a concept based matching method between sentences, to match the user's question with the question-answering pairs. The concept based matching method concerns the synonymous meanings between sentences at the concept level. In addition, the experimental result shows the matching method is an efficient method.
{"title":"The Model Research of FAQ Answering System Based on Concept","authors":"Maoyuan Zhang, Tingting He, Fuquan Yang","doi":"10.1109/KAM.2009.288","DOIUrl":"https://doi.org/10.1109/KAM.2009.288","url":null,"abstract":"At present, the FAQ (Frequently-Asked Question) answering system cannot understand the user's questions at the concept level, so its efficiency needs to be improved. In this paper, a model of FAQ answering system based on concept is proposed. The system model consists of three components, which are concept-based preprocessing, extraction of question-answer pairs, and concept-based matching of sentences. On the one hand, the model proposes an index-based extracting method of question-answering pairs, to combine the extraction with the index mechanism for improving the speed of extraction. On the other hand, the model expands the user's question at the concept level, and proposes a concept based matching method between sentences, to match the user's question with the question-answering pairs. The concept based matching method concerns the synonymous meanings between sentences at the concept level. In addition, the experimental result shows the matching method is an efficient method.","PeriodicalId":192986,"journal":{"name":"2009 Second International Symposium on Knowledge Acquisition and Modeling","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125204515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The opinion and competition style of traditional business management theory is that the core competitiveness of manufacturing firms is the capacity of production and processing, so that the enterprise managers mainly concern about production management and external business management. On the contrary, marketing management of these enterprises is paid less attention. Therefore, the paper designed marketing management system of manufacturing firms based on the new international competition situation and put forward the detailed implementation scheme, in order to help these manufacturing firms to transfer their traditional operating mode into informationization mode as soon as they could, and finally achieve stronger core competitiveness.
{"title":"The Design and Implementation of Marketing Management System for Manufacturing Firms","authors":"L. Chuang","doi":"10.1109/KAM.2009.275","DOIUrl":"https://doi.org/10.1109/KAM.2009.275","url":null,"abstract":"The opinion and competition style of traditional business management theory is that the core competitiveness of manufacturing firms is the capacity of production and processing, so that the enterprise managers mainly concern about production management and external business management. On the contrary, marketing management of these enterprises is paid less attention. Therefore, the paper designed marketing management system of manufacturing firms based on the new international competition situation and put forward the detailed implementation scheme, in order to help these manufacturing firms to transfer their traditional operating mode into informationization mode as soon as they could, and finally achieve stronger core competitiveness.","PeriodicalId":192986,"journal":{"name":"2009 Second International Symposium on Knowledge Acquisition and Modeling","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128528147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Learning is the process of constructing a model from complex world. And machine learning is concerned with constructing computer programs that automatically improve with experience. Machine learning draws on concepts and results from many fields. Obviously, no matter what we adopt new analytical method or technical means, we must have a distinct recognition of system itself and its complexity, and increase continuously analysis, operation and control level. The forecasting analysis of nonlinear complex system will be discussed carefully in this paper. We are mainly using grey forecasting theory to forecast data sequences, and the usual forecast precision has exceeded 90%. In the symbolic forecast of 2-letters nonlinear complex system, the precision of grey forecasting certainly will decrease as the length of symbolic sequence is increasing. But in this place we have found a generating rule that may realize chaotic synchronization at least in short and medium term, and we can analysis and forecast in this way.
{"title":"Forecasting Analysis of Nonlinear Complex System in Machine Learning","authors":"Po Zhang, Xiaozhe Wang, Ya-Gang Zhang","doi":"10.1109/KAM.2009.139","DOIUrl":"https://doi.org/10.1109/KAM.2009.139","url":null,"abstract":"Learning is the process of constructing a model from complex world. And machine learning is concerned with constructing computer programs that automatically improve with experience. Machine learning draws on concepts and results from many fields. Obviously, no matter what we adopt new analytical method or technical means, we must have a distinct recognition of system itself and its complexity, and increase continuously analysis, operation and control level. The forecasting analysis of nonlinear complex system will be discussed carefully in this paper. We are mainly using grey forecasting theory to forecast data sequences, and the usual forecast precision has exceeded 90%. In the symbolic forecast of 2-letters nonlinear complex system, the precision of grey forecasting certainly will decrease as the length of symbolic sequence is increasing. But in this place we have found a generating rule that may realize chaotic synchronization at least in short and medium term, and we can analysis and forecast in this way.","PeriodicalId":192986,"journal":{"name":"2009 Second International Symposium on Knowledge Acquisition and Modeling","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130584487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The reverse logistics is necessary for retailing to reinforce competitive advantage, increase customer value and improve its whole performance of supply chain. The retailing reverse logistic is either a premise of effective decision or important method for enterprise to decrease operating risk and improve service. In the paper, first, the theoretical triangular fuzzy number is put forward. And the risk factors of the retailing reverse logistics is analyzed and arranged. Then the index system of the retailing reverse logistics is built based on macro-risk , business risk , systematic risk and manager risk. At last ,the index evaluation is worked out .And the triangular fuzzy number is an operable approach. So it is an effective and scientific quantitative analysis for the retailing reverse logistics.
{"title":"Retailing Reverse Logistics Risk Factors Assessment Based on Triangular Fuzzy Number","authors":"Huizhe Yan, Pingjian Yan, L. Ma","doi":"10.1109/KAM.2009.230","DOIUrl":"https://doi.org/10.1109/KAM.2009.230","url":null,"abstract":"The reverse logistics is necessary for retailing to reinforce competitive advantage, increase customer value and improve its whole performance of supply chain. The retailing reverse logistic is either a premise of effective decision or important method for enterprise to decrease operating risk and improve service. In the paper, first, the theoretical triangular fuzzy number is put forward. And the risk factors of the retailing reverse logistics is analyzed and arranged. Then the index system of the retailing reverse logistics is built based on macro-risk , business risk , systematic risk and manager risk. At last ,the index evaluation is worked out .And the triangular fuzzy number is an operable approach. So it is an effective and scientific quantitative analysis for the retailing reverse logistics.","PeriodicalId":192986,"journal":{"name":"2009 Second International Symposium on Knowledge Acquisition and Modeling","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128824593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Huan Huang, Qingtang Liu, Linjing Wu, Tao Huang, Shuai Yuan
When the traditional text classification technologies classify academic dissertations, the dimension of extracted feature terms is high, and they can't represent the theme of thesis. it makes the efficiency is very low and the accuracy rate is not high. The topic words are small in quantity and can reflect the theme of thesis well. Accordingly, the paper proposes to extract the topic words with topic word list and uses topic words as feature terms. Then using the Bayesian Classification method classifies vast texts. The experiments show that the Bayesian Classification method using topic words as feature terms can greatly reduce the dimension and improve the efficiency of classification, when the dimension of feature terms is equivalent, the accuracy of Bayesian Classification method using topic words as feature terms is also higher than the traditional Bayesian text classification methods.
{"title":"The Application Research of Topic Word List In Text Automatic Classification","authors":"Huan Huang, Qingtang Liu, Linjing Wu, Tao Huang, Shuai Yuan","doi":"10.1109/KAM.2009.268","DOIUrl":"https://doi.org/10.1109/KAM.2009.268","url":null,"abstract":"When the traditional text classification technologies classify academic dissertations, the dimension of extracted feature terms is high, and they can't represent the theme of thesis. it makes the efficiency is very low and the accuracy rate is not high. The topic words are small in quantity and can reflect the theme of thesis well. Accordingly, the paper proposes to extract the topic words with topic word list and uses topic words as feature terms. Then using the Bayesian Classification method classifies vast texts. The experiments show that the Bayesian Classification method using topic words as feature terms can greatly reduce the dimension and improve the efficiency of classification, when the dimension of feature terms is equivalent, the accuracy of Bayesian Classification method using topic words as feature terms is also higher than the traditional Bayesian text classification methods.","PeriodicalId":192986,"journal":{"name":"2009 Second International Symposium on Knowledge Acquisition and Modeling","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115941161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Immune Clonal Selection Algorithm (ICSA), based on the clonal selection theory proposed by Burnet, has gained much attention in the last decade. ICSA can exploit and explore the solution space in parallel and effectively. However, antibody random initialization and premature convergence are two problems of ICSA. To solve these problems, chaotic initialization mechanism and quantum interference mechanism are introduced into ICSA. Simulation results based on the traveling salesman problems have demonstrated the efficiency and robustness of the novel Clonal Selection Algorithm.
{"title":"Chaotic Immune Clonal Selection Algorithm and Its Application","authors":"Hongwei Dai, Cunhua Li","doi":"10.1109/KAM.2009.85","DOIUrl":"https://doi.org/10.1109/KAM.2009.85","url":null,"abstract":"Immune Clonal Selection Algorithm (ICSA), based on the clonal selection theory proposed by Burnet, has gained much attention in the last decade. ICSA can exploit and explore the solution space in parallel and effectively. However, antibody random initialization and premature convergence are two problems of ICSA. To solve these problems, chaotic initialization mechanism and quantum interference mechanism are introduced into ICSA. Simulation results based on the traveling salesman problems have demonstrated the efficiency and robustness of the novel Clonal Selection Algorithm.","PeriodicalId":192986,"journal":{"name":"2009 Second International Symposium on Knowledge Acquisition and Modeling","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122528686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the rapid development of multimedia network technology, the traditional teaching modes and learning styles have undergone profound changes. Collaborative learning is just a new teaching mode that comes into being under contemporary teaching circumstance. It is important to train students' cooperative spirit and innovative consciousness. But current collaborative learning system faces with some issues such as security of document. In this paper, we present a model of document security management in cooperative learning system. This scheme provides joint-mode authentication. It can choose authentication mode according to the need of documents' security level and simultaneously provide learning resource authentication.
{"title":"Study of Document Security Management in Cooperative Learning System","authors":"Xin Yu, Yu Bai, Hongyu Sheng","doi":"10.1109/KAM.2009.248","DOIUrl":"https://doi.org/10.1109/KAM.2009.248","url":null,"abstract":"With the rapid development of multimedia network technology, the traditional teaching modes and learning styles have undergone profound changes. Collaborative learning is just a new teaching mode that comes into being under contemporary teaching circumstance. It is important to train students' cooperative spirit and innovative consciousness. But current collaborative learning system faces with some issues such as security of document. In this paper, we present a model of document security management in cooperative learning system. This scheme provides joint-mode authentication. It can choose authentication mode according to the need of documents' security level and simultaneously provide learning resource authentication.","PeriodicalId":192986,"journal":{"name":"2009 Second International Symposium on Knowledge Acquisition and Modeling","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122533049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stringent energy constraint is one of the most critical issues in wireless sensor networks. To address this issue, this paper proposes an ant colony-based energy-aware multipath routing algorithm. The algorithm, which considers the available power of nodes and the energy consumption of each path as the reliance of routing selection, utilizes the self-organization, self-adaptability and dynamic optimization capability of ant colony system to find the optimal path and multiple candidate paths from source nodes to sink nodes. It can avoid using up the energy of nodes on the optimal path and prolong the network lifetime while preserving network connectivity. Extensive simulations validate that the algorithm has a better performance in energy consumption and load-balancing with respect to traditional routing methods.
{"title":"Ant Colony-Based Energy-Aware Multipath Routing Algorithm for Wireless Sensor Networks","authors":"Songzhu Xia, Su Wu","doi":"10.1109/KAM.2009.68","DOIUrl":"https://doi.org/10.1109/KAM.2009.68","url":null,"abstract":"Stringent energy constraint is one of the most critical issues in wireless sensor networks. To address this issue, this paper proposes an ant colony-based energy-aware multipath routing algorithm. The algorithm, which considers the available power of nodes and the energy consumption of each path as the reliance of routing selection, utilizes the self-organization, self-adaptability and dynamic optimization capability of ant colony system to find the optimal path and multiple candidate paths from source nodes to sink nodes. It can avoid using up the energy of nodes on the optimal path and prolong the network lifetime while preserving network connectivity. Extensive simulations validate that the algorithm has a better performance in energy consumption and load-balancing with respect to traditional routing methods.","PeriodicalId":192986,"journal":{"name":"2009 Second International Symposium on Knowledge Acquisition and Modeling","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126648022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Abstract Function Model (AFM) is applied to all types of aircrafts and can be defined to a function instance. It is the core of the Electronic Fault Diagnosis Simulator which is used for training the airline maintenance men. AFM based on directed graph theory is presented, the structure of the ontology and the function library is put forward, and the research of AFM is performed. It is very important to research the common fault model that simulates a variety of aircraft types.
{"title":"A Novel Function Model of the Electronic Fault Diagnosis Simulator","authors":"Hong Geng, Jingzhao Li","doi":"10.1109/KAM.2009.30","DOIUrl":"https://doi.org/10.1109/KAM.2009.30","url":null,"abstract":"The Abstract Function Model (AFM) is applied to all types of aircrafts and can be defined to a function instance. It is the core of the Electronic Fault Diagnosis Simulator which is used for training the airline maintenance men. AFM based on directed graph theory is presented, the structure of the ontology and the function library is put forward, and the research of AFM is performed. It is very important to research the common fault model that simulates a variety of aircraft types.","PeriodicalId":192986,"journal":{"name":"2009 Second International Symposium on Knowledge Acquisition and Modeling","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126683708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Association rule discovery plays an important role in knowledge discovery and data mining, and efficiency is especially crucial for an algorithm to find frequent patterns from a large database. In this paper, a new algorithm called LogApriori algorithm is proposed by the idea of reducing unnecessary scanning of database in Apriori algorithm. The correctness of LogApriori algorithm is proved in this paper, and the performance of LogApriori algorithm is better than Apriori algorithm theoretically and practically. The success of LogApriori algorithm indicates that the strategy of producing itemsets with different number of items in one scanning can indeed find frequent patterns correctly and effectively.
{"title":"An Efficient Algorithm for Association Mining","authors":"Kan Jin","doi":"10.1109/KAM.2009.55","DOIUrl":"https://doi.org/10.1109/KAM.2009.55","url":null,"abstract":"Association rule discovery plays an important role in knowledge discovery and data mining, and efficiency is especially crucial for an algorithm to find frequent patterns from a large database. In this paper, a new algorithm called LogApriori algorithm is proposed by the idea of reducing unnecessary scanning of database in Apriori algorithm. The correctness of LogApriori algorithm is proved in this paper, and the performance of LogApriori algorithm is better than Apriori algorithm theoretically and practically. The success of LogApriori algorithm indicates that the strategy of producing itemsets with different number of items in one scanning can indeed find frequent patterns correctly and effectively.","PeriodicalId":192986,"journal":{"name":"2009 Second International Symposium on Knowledge Acquisition and Modeling","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124167296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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