摘要
随着网络信息内容的激增,为Web信息挖掘带来了一系列的困难。目前的Web检索主要在网页的内容上展开,往往忽视了网页结构蕴含的丰富信息。该文提出的网页视觉结构本体的构建,摆脱了以往领域本体仅在网页内容上辅助挖掘的局限,充分地挖掘了网页的视觉信息和结构信息,结合视觉重要性判定的领域知识本体来辅助Web检索,同时结合OWL语言达到机器理解的目的和知识级上的共享。
With the surge of the information content of Internet,a series of difficulties have come up with Web Data Mining.Present Web search launches mainly at the content of the webpages,often ignores the abundant information that the structure of webpages contains.The construction of Webpage vision structure ontology that this paper puts forward,gets rid of the limitation that field ontology only helps to excavate information at the content of the webpages in the past,and excavates both vision information and structure information of webpages abundantly.Combining the field knowledge ontology of vision importance judgements assist Web search with OWL language,webpage vision structure ontology can also achieve the purpose of both machine understanding and knowledge based sharing at the same time.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第15期157-160,共4页
Computer Engineering and Applications
关键词
本体
网页结构本体
OWL语言
语义WEB
机器学习
重要性判断
WEB检索
ontology,webpage vision structure ontology,Ontology Web Language,Semantic Web,machine learning,importance judgement ,Web search
