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Web Knowledge Service Oriented of Medical Information Classification Approach

Author: YiFeng
Tutor: WangXiaoLong；ChenQingCai
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: Knowledge of the network services Text Classification Feature selection Natural Language Processing Healthy body
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 50
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Abstract


Since the Internet began to spread , how to take full advantage of the large number of different structures , dynamic Internet resources to become one of the core issues of the information age . The key technologies of information retrieval is the knowledge of the network services provided to the network users . But is also facing can not provide good service and can not play a valuable network information challenges . Knowledge of the network services through the mass of information processing to compile and provide proven , more precise and credible knowledge , rather than just the original pages of information , the knowledge of the network services is the next step in the development direction . To provide knowledge of the network services , you must complete four core work : knowledge acquisition , knowledge representation, knowledge validation and knowledge services . Access to knowledge work is a topic search engine technology , but also facing the adaptation range , specific challenges . Semantic Web in knowledge representation , Berners in 1998 , but the Semantic Web itself does not solve the problem of access to knowledge , reasoning , and services . In this paper, the research on the knowledge of the network services health text classification methods for network knowledge services , research work the following : ( 1 ) designed to achieve the health vertical search system for service -oriented network knowledge , based on vertical search engine crawler technology, application classifier prediction method to affect reptiles strategy , collecting high correlation data . (2 ) the semantic description of knowledge representation provides a common and feasible method reference . Use of ontology construction , build a healthy body , and the document is based on understanding , document representation and knowledge reasoning . (3) The combination of a healthy body system, the establishment of a health knowledge base for the health text classification based support . (4 ) methods and different classification algorithms combined experimental comparison of different characteristics , based on improved TF-IDF feature selection algorithms and to improve the health mutual information algorithm classification algorithm , and this method is verified by actual system implementation in health text classification superiority. The system has been released on the network . The experimental results and user feedback This paper presents the architecture of the knowledge of the network services , to better meet customer needs , improve the user experience to achieve the desired effect .

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