The Semantic-Based Web Page Information Extraction and Retrieval System

摘要：

The traditional World Wide Web holds a great amount of heterogeneous knowledge resources,most of which lack the machine-comprehensible content and semantic relation.The creation of ontology theory provides a new angle for the researches in the field of web data extraction.According to the features of web information,this paper present a solution called Semantic-Based Web Page Information Extraction and Retrieval System.Specifically,we propose a method for extracting semantic information from thingdescriptive web pages sharing the same structure by the guidance of extraction-oriented ontology model.Based on this method,we designed a framework for the retrieval,storage and processing of semantic information.In the end,we discuss the performance of our prototype system.

关键词： Semantic Ontology Information Extraction Semantic Retrieval Web

作者: Wentao Cheng Xuelin Shi

作者单位: School of Information Science and Technology Beijing University of Chemical Technology Beijing,100029,P.R.China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 79-85

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）