The ICIA 2008 is the new generation of the IEEE International Conference on InformationAcquisition.In order to response to the repaid development in the area of the integration of the informationtechnology with automa...The ICIA 2008 is the new generation of the IEEE International Conference on InformationAcquisition.In order to response to the repaid development in the area of the integration of the informationtechnology with automation and control,ICIA has increased its technical scopes in order to provide abigger forum for researchers in the interdisciplinary areas of information and automation sciences andengineering.The theme of this conference is'Integration of information technologies and automation'.展开更多
Service providers - from public institutions to primary care facilities - need to constantly attend toclients＇ inquiries to provide useful information and directive guidelines. Ensuring high quality serviceis challen...Service providers - from public institutions to primary care facilities - need to constantly attend toclients＇ inquiries to provide useful information and directive guidelines. Ensuring high quality serviceis challenging as it not only demands detailed domain-specific knowledge, but also the ability toquickly understand the clients＇ issues through their diverse - and often casual - descriptions. Thispaper aims to provide a framework for the development of an automated information broker agent whoperforms the task of a helper. The main task of the agent is to interact with the client and direct them toobtain further services that cater their personalized need. To do so, the agent should accomplish asequence of tasks that include natural language inquiry, knowledge gathering, reasoning, and givingfeedback; in this way, it simulates a human helper to engage in interaction with the client. Theframework combines a question-answering reasoning mechanism while utilizing domain-specificknowledge base. When the users cannot describe clearly their needs, the system tries to narrow downthe possibilities by an iterative question-answering process, until it eventually identifies the target. Inrealizing our framework, we make a proof-of-concept project, M andy, a primary care chatbot systemcreated to assist healthcare staffs by automating the patient intake process. We describe in detail thesystem functionalities and design of the system, and evaluate our proof-of-concept on benchmark casestudies.展开更多
文摘The ICIA 2008 is the new generation of the IEEE International Conference on InformationAcquisition.In order to response to the repaid development in the area of the integration of the informationtechnology with automation and control,ICIA has increased its technical scopes in order to provide abigger forum for researchers in the interdisciplinary areas of information and automation sciences andengineering.The theme of this conference is'Integration of information technologies and automation'.
文摘Service providers - from public institutions to primary care facilities - need to constantly attend toclients＇ inquiries to provide useful information and directive guidelines. Ensuring high quality serviceis challenging as it not only demands detailed domain-specific knowledge, but also the ability toquickly understand the clients＇ issues through their diverse - and often casual - descriptions. Thispaper aims to provide a framework for the development of an automated information broker agent whoperforms the task of a helper. The main task of the agent is to interact with the client and direct them toobtain further services that cater their personalized need. To do so, the agent should accomplish asequence of tasks that include natural language inquiry, knowledge gathering, reasoning, and givingfeedback; in this way, it simulates a human helper to engage in interaction with the client. Theframework combines a question-answering reasoning mechanism while utilizing domain-specificknowledge base. When the users cannot describe clearly their needs, the system tries to narrow downthe possibilities by an iterative question-answering process, until it eventually identifies the target. Inrealizing our framework, we make a proof-of-concept project, M andy, a primary care chatbot systemcreated to assist healthcare staffs by automating the patient intake process. We describe in detail thesystem functionalities and design of the system, and evaluate our proof-of-concept on benchmark casestudies.
