Pub Date : 2010-11-29DOI: 10.1109/KAM.2010.5646202
Yeong-Ho Ho, Cheng-Hung Chen, Chung-Ling Huang
This paper outlines the development of a web-based expert system, steel welding materials selection expert system. The expert system inference engine employs all case-based reasoning (CBR), rule-based reasoning (RBR), and k-mean clustering method to generate a hierarchical hybrid recommendation list for cross validation. Moreover, this inference engine was designed to support a hierarchical multi-attribute structure. Unlike the traditional ‘flat’ attribute structure, this hierarchical multi-attribute structure allows experts and user to weigh the attributes dynamically and friendly.
{"title":"A hierarchical hybrid expert system for steel welding materials selection system","authors":"Yeong-Ho Ho, Cheng-Hung Chen, Chung-Ling Huang","doi":"10.1109/KAM.2010.5646202","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646202","url":null,"abstract":"This paper outlines the development of a web-based expert system, steel welding materials selection expert system. The expert system inference engine employs all case-based reasoning (CBR), rule-based reasoning (RBR), and k-mean clustering method to generate a hierarchical hybrid recommendation list for cross validation. Moreover, this inference engine was designed to support a hierarchical multi-attribute structure. Unlike the traditional ‘flat’ attribute structure, this hierarchical multi-attribute structure allows experts and user to weigh the attributes dynamically and friendly.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125223445","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}
Pub Date : 2010-11-29DOI: 10.1109/KAM.2010.5646317
P. Hu, Tingting He, Hai Wang
In this paper, we present SEMMR, a novel subtopic-enriched sentence ranking method for Chinese multi-document summarization derived from Maximal Marginal Relevance (MMR). MMR is one of the most popular ranking algorithms for balancing the topical relevance and content redundancy in a unified framework, which has been well employed in the context of text retrieval and document summarization. For multi-document summarization task, existing MMR-based approaches usually directly incorporate the topical relevance between each sentence and the main topic into the sentence ranking process while ignoring the latent subtopic information of finer granularity. Actually, a document set on a main topic usually consists of a few implicit subtopics, and different subtopic may have unequal impact on the sentence ranking. Specifically, the sentences having higher proximity with the subtopics close to the main topic are deemed more relevant than the sentences related with the subtopics far away from the main topic. To address this issue and take into account the subtopic's impact on sentence ranking performance, this paper extends the traditional MMR algorithm by integrating the sub-topical relevance as well as the sentence-to-subtopic proximity into the unified ranking process. Preliminary experimental results indicate the effectiveness of our proposed methods.
{"title":"A subtopic-enriched MMR approach to sentence ranking for Chinese multi-document summarization","authors":"P. Hu, Tingting He, Hai Wang","doi":"10.1109/KAM.2010.5646317","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646317","url":null,"abstract":"In this paper, we present SEMMR, a novel subtopic-enriched sentence ranking method for Chinese multi-document summarization derived from Maximal Marginal Relevance (MMR). MMR is one of the most popular ranking algorithms for balancing the topical relevance and content redundancy in a unified framework, which has been well employed in the context of text retrieval and document summarization. For multi-document summarization task, existing MMR-based approaches usually directly incorporate the topical relevance between each sentence and the main topic into the sentence ranking process while ignoring the latent subtopic information of finer granularity. Actually, a document set on a main topic usually consists of a few implicit subtopics, and different subtopic may have unequal impact on the sentence ranking. Specifically, the sentences having higher proximity with the subtopics close to the main topic are deemed more relevant than the sentences related with the subtopics far away from the main topic. To address this issue and take into account the subtopic's impact on sentence ranking performance, this paper extends the traditional MMR algorithm by integrating the sub-topical relevance as well as the sentence-to-subtopic proximity into the unified ranking process. Preliminary experimental results indicate the effectiveness of our proposed methods.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127151616","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}
Pub Date : 2010-11-29DOI: 10.1109/KAM.2010.5646259
Chongchong Zhao, G. Ai, X. Yu, Xiaofeng Wang
To solve the problems of software testing automation,such as poor scalability, compatibility and other problems, this paper puts forward a automated performance testing framework based on ontology and multi-Agent. An extensible BDI Agent model is the core part of this framework. The dynamic loading in BDI Agent improves the inclusiveness and expansibility of automatic test. On this basis, a software performance testing interaction model based on multi-Agent is proposed. At last, the performance and feasibility of this model by using ontology technology based on JADE is verified through a prototype system.
{"title":"Research on automated testing framework based on ontology and multi-agent","authors":"Chongchong Zhao, G. Ai, X. Yu, Xiaofeng Wang","doi":"10.1109/KAM.2010.5646259","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646259","url":null,"abstract":"To solve the problems of software testing automation,such as poor scalability, compatibility and other problems, this paper puts forward a automated performance testing framework based on ontology and multi-Agent. An extensible BDI Agent model is the core part of this framework. The dynamic loading in BDI Agent improves the inclusiveness and expansibility of automatic test. On this basis, a software performance testing interaction model based on multi-Agent is proposed. At last, the performance and feasibility of this model by using ontology technology based on JADE is verified through a prototype system.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115178680","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}
Pub Date : 2010-11-29DOI: 10.1109/KAM.2010.5646311
Chengjie Li, Zhen Liu
Clustering is an example of a class of optimization problems. In the classical clustering, an item must belong to any one cluster. But fuzzy clustering describes more accurately the ambiguous type of structure in data. The fuzzy ISODATA clustering exhibits the rapid convergence in finding the best classification program when the classification number is given. In this paper, we propose the algorithm to solve the choosing lands problem and show the result of the experiment. The result is satisfied to realtors in choosing lands.
{"title":"Analysis on KPI factors to choose lands with fuzzy ISODATA clustering","authors":"Chengjie Li, Zhen Liu","doi":"10.1109/KAM.2010.5646311","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646311","url":null,"abstract":"Clustering is an example of a class of optimization problems. In the classical clustering, an item must belong to any one cluster. But fuzzy clustering describes more accurately the ambiguous type of structure in data. The fuzzy ISODATA clustering exhibits the rapid convergence in finding the best classification program when the classification number is given. In this paper, we propose the algorithm to solve the choosing lands problem and show the result of the experiment. The result is satisfied to realtors in choosing lands.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130374076","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}
Pub Date : 2010-11-29DOI: 10.1109/KAM.2010.5646156
Yao Jing-zheng, Han Duan-feng, Zhang Bo
Entire lifecycle information integration model includes the knowledge of entire lifecycle, which can produce design model, manufacture model, quality checking model and maintenance model. In the paper, entire lifecycle information integration model is presented to realize the share of entire lifecycle information. Finally, data structure of entire lifecycle information integration model is created and entire lifecycle data of ship are included in the data structure.
{"title":"Method of ship entire lifecycle information integration model","authors":"Yao Jing-zheng, Han Duan-feng, Zhang Bo","doi":"10.1109/KAM.2010.5646156","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646156","url":null,"abstract":"Entire lifecycle information integration model includes the knowledge of entire lifecycle, which can produce design model, manufacture model, quality checking model and maintenance model. In the paper, entire lifecycle information integration model is presented to realize the share of entire lifecycle information. Finally, data structure of entire lifecycle information integration model is created and entire lifecycle data of ship are included in the data structure.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129766887","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}
Pub Date : 2010-11-29DOI: 10.1109/KAM.2010.5646186
Hao-feng Zhang, Xi-yan Fan, Hai-feng Xing
In the digital age, as a way of learning through playing, educational games have become one of the development trends. However, lacking of feasible design and evaluation model for educational games, there are lots of problems existing in the integration of instructional content and story context. This paper discusses the RETAIN model while providing a domestic case. The design of educational games based on the model can embed learning content into the game naturally to achieve the balance between education and gameplay. The model can not only evaluate the effectiveness of the games that have already been used in classroom settings but also select any valuable games that may be used for educational purposes, which can expand the resources of education.
{"title":"Research on the design and evaluation of educational games based on the RETAIN model","authors":"Hao-feng Zhang, Xi-yan Fan, Hai-feng Xing","doi":"10.1109/KAM.2010.5646186","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646186","url":null,"abstract":"In the digital age, as a way of learning through playing, educational games have become one of the development trends. However, lacking of feasible design and evaluation model for educational games, there are lots of problems existing in the integration of instructional content and story context. This paper discusses the RETAIN model while providing a domestic case. The design of educational games based on the model can embed learning content into the game naturally to achieve the balance between education and gameplay. The model can not only evaluate the effectiveness of the games that have already been used in classroom settings but also select any valuable games that may be used for educational purposes, which can expand the resources of education.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121889063","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}
Pub Date : 2010-11-29DOI: 10.1109/KAM.2010.5646319
Hongliang You, Wei Zhang, Junyi Shen, Yang Yu, Ting Liu
Automatic Term Recognition (ATR) is an important task for Knowledge Acquisition, which aims at acquiring formalized words which are not recorded in time in the glossary. In recent years, several statistical methods has proved to be effective, and emerging methods such as C-value, NC-Value, TermExtractor has shown great advantages on this task. However, few works have been done on the Metric mixing algorithm that combines those metrics as a whole. In this paper, we first collect part-of-speech templates from already-known terms automatically, namely Auto-POS templates, instead of artificial regular expressions, and then we match them with POS strings to acquire candidate terms. Finally we sort those candidates by metric mixing algorithm. Experimental results on IEEE2006-2007 metadata show that the metric mixing algorithm performs better than any separate metrics alone.
{"title":"Auto-POS templates and mixed metrics for recognizing terms in scientific literature","authors":"Hongliang You, Wei Zhang, Junyi Shen, Yang Yu, Ting Liu","doi":"10.1109/KAM.2010.5646319","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646319","url":null,"abstract":"Automatic Term Recognition (ATR) is an important task for Knowledge Acquisition, which aims at acquiring formalized words which are not recorded in time in the glossary. In recent years, several statistical methods has proved to be effective, and emerging methods such as C-value, NC-Value, TermExtractor has shown great advantages on this task. However, few works have been done on the Metric mixing algorithm that combines those metrics as a whole. In this paper, we first collect part-of-speech templates from already-known terms automatically, namely Auto-POS templates, instead of artificial regular expressions, and then we match them with POS strings to acquire candidate terms. Finally we sort those candidates by metric mixing algorithm. Experimental results on IEEE2006-2007 metadata show that the metric mixing algorithm performs better than any separate metrics alone.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"243 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121903720","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}
Pub Date : 2010-11-29DOI: 10.1109/KAM.2010.5646289
Minli Dai, Defu Zhou, Binbin Shi, Min Wang, L. Zhang, Caidong Gu
With the rapid development of tourism, traditional simulated guide training system no longer meets the need of new age tourist guide resources training. It appears rather impendency and important to apply modern education technology and method to improve tourist guide practical teaching level to bring up tourist guide resources with high efficiency and quality. This article analyzed the maintaining problem and deficiency of traditional simulated guide training system, discussed how to apply Virtual Reality, multichannel projecting and other technology to constitute tourist guide training system, and also introduced the developing technology and procedure of Virtual Tourist Guide Training System. This system would in large extend to break the limitation of practical teaching in time and space, improve teaching efficiency, reduce student managing risk, and save real scene teaching cost.
{"title":"Research on Virtual Tourist Guide Training System based on virtual reality technology","authors":"Minli Dai, Defu Zhou, Binbin Shi, Min Wang, L. Zhang, Caidong Gu","doi":"10.1109/KAM.2010.5646289","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646289","url":null,"abstract":"With the rapid development of tourism, traditional simulated guide training system no longer meets the need of new age tourist guide resources training. It appears rather impendency and important to apply modern education technology and method to improve tourist guide practical teaching level to bring up tourist guide resources with high efficiency and quality. This article analyzed the maintaining problem and deficiency of traditional simulated guide training system, discussed how to apply Virtual Reality, multichannel projecting and other technology to constitute tourist guide training system, and also introduced the developing technology and procedure of Virtual Tourist Guide Training System. This system would in large extend to break the limitation of practical teaching in time and space, improve teaching efficiency, reduce student managing risk, and save real scene teaching cost.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126287631","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}
Pub Date : 2010-11-29DOI: 10.1109/KAM.2010.5646241
Qinghe Zhang, Xiaoyun Chen
Affinity propagation (AP) algorithm doesn't fix the number of the clusters and doesn't rely on random sampling. It exhibits fast execution speed with low error rate. However, it is hard to generate optimal clusters. This paper proposes an agglomerative clustering based on AP (agAP) method to overwhelm the limitation. It puts forward k-cluster closeness to merge the clusters yielded by AP. In comparison to AP, agAP method has better performance and is better than or equal to the quality of AP method. And it has an advantage of time complexity compared to adaptive affinity propagation (adAP).
{"title":"Agglomerative hierarchical clustering based on affinity propagation algorithm","authors":"Qinghe Zhang, Xiaoyun Chen","doi":"10.1109/KAM.2010.5646241","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646241","url":null,"abstract":"Affinity propagation (AP) algorithm doesn't fix the number of the clusters and doesn't rely on random sampling. It exhibits fast execution speed with low error rate. However, it is hard to generate optimal clusters. This paper proposes an agglomerative clustering based on AP (agAP) method to overwhelm the limitation. It puts forward k-cluster closeness to merge the clusters yielded by AP. In comparison to AP, agAP method has better performance and is better than or equal to the quality of AP method. And it has an advantage of time complexity compared to adaptive affinity propagation (adAP).","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129144865","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}
Pub Date : 2010-11-29DOI: 10.1109/KAM.2010.5646167
Zhenyan Li, Hui-jie Cheng
As the goal of development, teacher professionalization is not only an effective way to improve individual professional standards of teachers and qualities of education, but also a certain requirement of development of modern education. In china, teacher professional development is not ripe, needs to continually deepen and advance. The basic research starting point of teacher professional development is to sort through the development of the historical developmental process and the research orientation. This article firstly elaborated two stages of the professional development stage in the teacher professional development, and has a reconsider to the teacher professional development, which hopes that could help the people who will research in the future.
{"title":"Teacher professional development process and research orientation analysis","authors":"Zhenyan Li, Hui-jie Cheng","doi":"10.1109/KAM.2010.5646167","DOIUrl":"https://doi.org/10.1109/KAM.2010.5646167","url":null,"abstract":"As the goal of development, teacher professionalization is not only an effective way to improve individual professional standards of teachers and qualities of education, but also a certain requirement of development of modern education. In china, teacher professional development is not ripe, needs to continually deepen and advance. The basic research starting point of teacher professional development is to sort through the development of the historical developmental process and the research orientation. This article firstly elaborated two stages of the professional development stage in the teacher professional development, and has a reconsider to the teacher professional development, which hopes that could help the people who will research in the future.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132884426","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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