This paper addresses visualized clustering methods that are embedded in CorMap and iView analysis of ideas towards the concerned topic. K-means clustering, automatic affinity diagram (KJ method) and self-organizing map are applied to CorMap analysis and graph clustering algorithm is applied to iView analysis are introduced. We report the visualized clustering results of workshops of a famous scientific forum, show the features of each clustering and compare their performance.
{"title":"Visualized Clustering of Ideas for Group Argumentation","authors":"Bin Luo, Xijin J. Tang","doi":"10.1109/WI-IAT.2010.280","DOIUrl":"https://doi.org/10.1109/WI-IAT.2010.280","url":null,"abstract":"This paper addresses visualized clustering methods that are embedded in CorMap and iView analysis of ideas towards the concerned topic. K-means clustering, automatic affinity diagram (KJ method) and self-organizing map are applied to CorMap analysis and graph clustering algorithm is applied to iView analysis are introduced. We report the visualized clustering results of workshops of a famous scientific forum, show the features of each clustering and compare their performance.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115106543","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}
In order to solve problems caused by various format of simulation data and complex operation flow on collaborative simulation from different software in the development of virtual prototype technology, this article analyzes and designs the SD&PMS(Simulation Data &Process Management System)frames based on three key capacity of simulation capacity management.They are Simulation organization structure and capacity of information management,simulation nodes plan management and simulation functional process management. The simulation data, relationships and flows were coordinated and optimized from technological and administrative point of view. Finally, the technological frame was verified through the implemental process of the work group level case. The result shows that the SD&PMS can coordinate work relationships and manage data from the simulation of work groups, enhance simulation efficiencies and development quality, which make the engineers break away from vast unimportant repetitive operations.
{"title":"Simulation Data and Process Management System in the Development of Virtual Prototype","authors":"Hang Yin, Yongming Gao, Hui Yan, Jiejuan Wang","doi":"10.1109/WI-IAT.2010.318","DOIUrl":"https://doi.org/10.1109/WI-IAT.2010.318","url":null,"abstract":"In order to solve problems caused by various format of simulation data and complex operation flow on collaborative simulation from different software in the development of virtual prototype technology, this article analyzes and designs the SD&PMS(Simulation Data &Process Management System)frames based on three key capacity of simulation capacity management.They are Simulation organization structure and capacity of information management,simulation nodes plan management and simulation functional process management. The simulation data, relationships and flows were coordinated and optimized from technological and administrative point of view. Finally, the technological frame was verified through the implemental process of the work group level case. The result shows that the SD&PMS can coordinate work relationships and manage data from the simulation of work groups, enhance simulation efficiencies and development quality, which make the engineers break away from vast unimportant repetitive operations.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122131505","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 assessment of data quality is a key success factor for organisational performance. It supports managers and executives to clearly identify and present incomplete or inconsistent values in their information systems and as a result, minimises and eliminates the risk associated with decisions based on poor data. Despite the important of data quality assessment, limited research has been carried out on assessing the completeness and consistency of the data. Researchers and practitioners usually apply error ratio metric to calculate the defective or integrative data. However, this approach is not sufficient in term of providing a complete quality assessment since error ratio can be randomly distributed across databases. This study will introduce a decision rule method for providing a comprehensive quality assessment. The proposed decision rule method will eliminate the issue of error ratio and lead to the accurate assessment of the quality in organisational information systems.
{"title":"A Decision Rule Method for Assessing the Completeness and Consistency of a Data Warehouse","authors":"Nawaf Alkharboush, Yuefeng Li","doi":"10.1109/WI-IAT.2010.245","DOIUrl":"https://doi.org/10.1109/WI-IAT.2010.245","url":null,"abstract":"The assessment of data quality is a key success factor for organisational performance. It supports managers and executives to clearly identify and present incomplete or inconsistent values in their information systems and as a result, minimises and eliminates the risk associated with decisions based on poor data. Despite the important of data quality assessment, limited research has been carried out on assessing the completeness and consistency of the data. Researchers and practitioners usually apply error ratio metric to calculate the defective or integrative data. However, this approach is not sufficient in term of providing a complete quality assessment since error ratio can be randomly distributed across databases. This study will introduce a decision rule method for providing a comprehensive quality assessment. The proposed decision rule method will eliminate the issue of error ratio and lead to the accurate assessment of the quality in organisational information systems.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":" 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113951145","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}
To make up for the insufficiency of the existing methods of decision model representation in supporting multilevel model users, a kind of hierarchical description framework of decision model is proposed. This framework is made up of basic layer, building block layer and conceptual layer that supporting three kinds of model users, which are the model constructors, the DSS constructors and the decision makers or the decision analyzers, respectively. In the end of the paper, an example is given to prove the scientificity and feasibility of the proposed description framework.
{"title":"A Hierarchical Description Framework of Decision Model for Multilevel Users","authors":"Xuelong Chen, Yanzhang Wang, Ning Wang","doi":"10.1109/WI-IAT.2010.108","DOIUrl":"https://doi.org/10.1109/WI-IAT.2010.108","url":null,"abstract":"To make up for the insufficiency of the existing methods of decision model representation in supporting multilevel model users, a kind of hierarchical description framework of decision model is proposed. This framework is made up of basic layer, building block layer and conceptual layer that supporting three kinds of model users, which are the model constructors, the DSS constructors and the decision makers or the decision analyzers, respectively. In the end of the paper, an example is given to prove the scientificity and feasibility of the proposed description framework.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125707216","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}
Classical information retrieval is based around a user having an information need, formulated as a query, and a system which matches the query against 'documents', retrieving those most likely to be relevant. In some applications there are challenges because the 'documents' are not discrete objects but highly inter-connected, and IR research has for decades developed models of the processes, devised novel ranking algorithms, and developed very elaborate benchmarking techniques for performance. But what if the information we need or seek is not neatly divided into documents, either discrete or inter-connected, but needs to be taken from a constant stream of data values, namely data from sensors. These sensors cover the physical sensors around us (environment, place, physical activities like traffic, weather, people movement, crowd gatherings like concerts and sports events) as well as the online sensors we have access to (blogs, tweets, etc.). Often termed the *sensor web*, this information source is characterised as being noisy, errorsome, unpredictable and dynamic, exactly like the real and the virtual worlds in which we live, work and play. In this presentation I introduce several diverse sensor web applications to show the breadth and pervasive nature of the sensor web and I then show some of the techniques which we use to manage the information which forms part of the sensor web.
{"title":"The Sensor Web: Unpredictable, Noisy and Loaded with Errors","authors":"A. Smeaton","doi":"10.1109/WI-IAT.2010.307","DOIUrl":"https://doi.org/10.1109/WI-IAT.2010.307","url":null,"abstract":"Classical information retrieval is based around a user having an information need, formulated as a query, and a system which matches the query against 'documents', retrieving those most likely to be relevant. In some applications there are challenges because the 'documents' are not discrete objects but highly inter-connected, and IR research has for decades developed models of the processes, devised novel ranking algorithms, and developed very elaborate benchmarking techniques for performance. But what if the information we need or seek is not neatly divided into documents, either discrete or inter-connected, but needs to be taken from a constant stream of data values, namely data from sensors. These sensors cover the physical sensors around us (environment, place, physical activities like traffic, weather, people movement, crowd gatherings like concerts and sports events) as well as the online sensors we have access to (blogs, tweets, etc.). Often termed the *sensor web*, this information source is characterised as being noisy, errorsome, unpredictable and dynamic, exactly like the real and the virtual worlds in which we live, work and play. In this presentation I introduce several diverse sensor web applications to show the breadth and pervasive nature of the sensor web and I then show some of the techniques which we use to manage the information which forms part of the sensor web.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129230748","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}
In this paper, we discuss the problem of route planning and scheduling by a group of agents. Each agent is responsible for designing a route plan and schedule over a geographical network, and the goal is to obtain a conflict-free plan/schedule that optimizes a global objective. We present a hybrid conflict resolution method that involves coalition formation and distributed constraint satisfaction depending on the level of coupling between agents. We show how this approach can be effectively applied to solve a distributed convoy movement planning problem.
{"title":"Distributed Route Planning and Scheduling via Hybrid Conflict Resolution","authors":"R. Thangarajoo, H. Lau","doi":"10.1109/WI-IAT.2010.257","DOIUrl":"https://doi.org/10.1109/WI-IAT.2010.257","url":null,"abstract":"In this paper, we discuss the problem of route planning and scheduling by a group of agents. Each agent is responsible for designing a route plan and schedule over a geographical network, and the goal is to obtain a conflict-free plan/schedule that optimizes a global objective. We present a hybrid conflict resolution method that involves coalition formation and distributed constraint satisfaction depending on the level of coupling between agents. We show how this approach can be effectively applied to solve a distributed convoy movement planning problem.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129496870","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}
In this research, a new evaluation model to select adequate ontologies that fit user requirements is proposed. The model consists of selection criteria and measurements. The proposed model presents two novel features distinct from previous research models. First, it enables users to assign weights to the evaluation criteria based on assumed impacts on ontology selection. Second, it enables users to search keywords from multiple ontologies. In addition, new metrics for the selection criteria are proposed. For empirical analysis, a prototype was developed and experiments were performed. The experimental results indicate that our evaluation model for ontology selection is valid and works well. The ultimate goal of this research is to provide an ontology evaluation model, enabling ontology users to select adequate ontologies to user requirements.
{"title":"User-Centered Evaluation Model for Ontology Selection","authors":"Sunju Oh, H. Yeom","doi":"10.1109/WI-IAT.2010.315","DOIUrl":"https://doi.org/10.1109/WI-IAT.2010.315","url":null,"abstract":"In this research, a new evaluation model to select adequate ontologies that fit user requirements is proposed. The model consists of selection criteria and measurements. The proposed model presents two novel features distinct from previous research models. First, it enables users to assign weights to the evaluation criteria based on assumed impacts on ontology selection. Second, it enables users to search keywords from multiple ontologies. In addition, new metrics for the selection criteria are proposed. For empirical analysis, a prototype was developed and experiments were performed. The experimental results indicate that our evaluation model for ontology selection is valid and works well. The ultimate goal of this research is to provide an ontology evaluation model, enabling ontology users to select adequate ontologies to user requirements.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128478957","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}
Huiliang Zhang, C. Miao, Shell-Ying Huang, Zhiqi Shen, Xudong Luo
It is very important to know how fast a BDI agent can react to and process incoming event sequences if we want to apply such autonomous agents into time-sensitive applications like the Close-In weapon system in air-carriers. In [15], we proposed an analysis method for traditional sequential agents. In this paper we extend the theoretical analysis method to parallel BDI agents. Our method can estimate the average response time using the average attributes of a sequence of events based on probability and queueing theory. The simulation experiments show that our theoretical analysis method is effective. We also show by an experiment that an agent that dynamically allocates its computational time resources perform better than one that does not. Thus, the theoretical method suggests a way to quickly estimate the performance of an agent if the average attributes of the incoming event sequence are known in advance. Such an analysis of average response time can definitely benefit constructing more efficient BDI agents that situate in time-sensitive environments.
{"title":"How Fast Can a BDI Agent Respond?","authors":"Huiliang Zhang, C. Miao, Shell-Ying Huang, Zhiqi Shen, Xudong Luo","doi":"10.1109/WI-IAT.2010.248","DOIUrl":"https://doi.org/10.1109/WI-IAT.2010.248","url":null,"abstract":"It is very important to know how fast a BDI agent can react to and process incoming event sequences if we want to apply such autonomous agents into time-sensitive applications like the Close-In weapon system in air-carriers. In [15], we proposed an analysis method for traditional sequential agents. In this paper we extend the theoretical analysis method to parallel BDI agents. Our method can estimate the average response time using the average attributes of a sequence of events based on probability and queueing theory. The simulation experiments show that our theoretical analysis method is effective. We also show by an experiment that an agent that dynamically allocates its computational time resources perform better than one that does not. Thus, the theoretical method suggests a way to quickly estimate the performance of an agent if the average attributes of the incoming event sequence are known in advance. Such an analysis of average response time can definitely benefit constructing more efficient BDI agents that situate in time-sensitive environments.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124516443","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 maturity of Web Services and Enterprise Service Oriented Architectures (SOA), new delivery and Web interaction models are now demonstrating how services can be traded outside traditional ownership and provisioning boundaries. The value of SOA comes from having an architecture that readily accommodates change. The more your business changes, the more SOA pays for itself. However, the initial build-out of SOA, prior to business change or service sharing, is cost-ineffective. By incorporating cloud computing in SOA, the time to value is shortened because you leverage ‘other people’s work’ as well as saving on infrastructure cost by leveraging on demand cloud based infrastructure services. This article outlines a distributed Web interactive system for sharing health records on the cloud using distributed OSGi services and consumers, called HCX (Health Cloud eXchange). This system allows for different health record and related healthcare services to be dynamically discovered and interactively used by client programs running within a federated private cloud. A basic prototype is presented as proof of concept along with a description to the steps and processes involved in setting up the underlying infrastructure. Finally some future directions for using this infrastructure are illustrated.
{"title":"HCX: A Distributed OSGi Based Web Interaction System for Sharing Health Records in the Cloud","authors":"Sabah Mohammed, Daniel Servos, J. Fiaidhi","doi":"10.1109/WI-IAT.2010.26","DOIUrl":"https://doi.org/10.1109/WI-IAT.2010.26","url":null,"abstract":"WITH the maturity of Web Services and Enterprise Service Oriented Architectures (SOA), new delivery and Web interaction models are now demonstrating how services can be traded outside traditional ownership and provisioning boundaries. The value of SOA comes from having an architecture that readily accommodates change. The more your business changes, the more SOA pays for itself. However, the initial build-out of SOA, prior to business change or service sharing, is cost-ineffective. By incorporating cloud computing in SOA, the time to value is shortened because you leverage ‘other people’s work’ as well as saving on infrastructure cost by leveraging on demand cloud based infrastructure services. This article outlines a distributed Web interactive system for sharing health records on the cloud using distributed OSGi services and consumers, called HCX (Health Cloud eXchange). This system allows for different health record and related healthcare services to be dynamically discovered and interactively used by client programs running within a federated private cloud. A basic prototype is presented as proof of concept along with a description to the steps and processes involved in setting up the underlying infrastructure. Finally some future directions for using this infrastructure are illustrated.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131243269","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}
In spite of the rising demands for reusable information systems, current designs are still insufficient in providing efficient reusable mechanisms for system design. One of the major problems hindering the development of information reuse in most traditional systems, which include component-based systems and object-oriented systems, is the lack of the self-organising ability among the system components or subsystems. The emergence of intelligent agent-based technology is able to solve the problems plaguing many traditional systems. In this paper we introduce an optimised design for agent-based systems, which is able to provide an efficient process for agent capability reuse. An experimental program is developed to evaluate the performance of the proposed design.
{"title":"An Optimised Design for Agent Capability Reuse","authors":"H. Zhang, C. Leung, Xinghuo Yu, Jing He","doi":"10.1109/WI-IAT.2010.154","DOIUrl":"https://doi.org/10.1109/WI-IAT.2010.154","url":null,"abstract":"In spite of the rising demands for reusable information systems, current designs are still insufficient in providing efficient reusable mechanisms for system design. One of the major problems hindering the development of information reuse in most traditional systems, which include component-based systems and object-oriented systems, is the lack of the self-organising ability among the system components or subsystems. The emergence of intelligent agent-based technology is able to solve the problems plaguing many traditional systems. In this paper we introduce an optimised design for agent-based systems, which is able to provide an efficient process for agent capability reuse. An experimental program is developed to evaluate the performance of the proposed design.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129839937","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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