Webmining: learning from the world wide web
نویسندگان
چکیده
منابع مشابه
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a computer understandable knowledge base whose content mirrors that of the World Wide Web. Such a knowledge base would enable much more e ective retrieval of Web information, and promote new uses of the Web to support k...
متن کاملLearning to construct knowledge bases from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a computer understandable knowledge base whose content mirrors that of the World Wide Web. Such a knowledge base would enable much more effective retrieval of Web information, and promote new uses of the Web to support ...
متن کاملLearning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a computer understandable world wide knowledge base whose content mirrors that of the World Wide Web. Such a knowledge base would enable much more eeective retrieval of Web information, and promote new uses of the Web t...
متن کاملInformation extraction from the World Wide Web
Abstract. The World Wide Web is an enormous and a growing source of information presented in a human friendly language called Html. Unfortunately, querying and accessing this information by software agents is not an easy task, so web information extractors are used. Currently, there is a variety of algorithms to build web information extractors, but none of them is universally applicable. There...
متن کاملExtracting knowledge from the World Wide Web.
The World Wide Web provides a unprecedented opportunity to automatically analyze a large sample of interests and activity in the world. We discuss methods for extracting knowledge from the web by randomly sampling and analyzing hosts and pages, and by analyzing the link structure of the web and how links accumulate over time. A variety of interesting and valuable information can be extracted, s...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2002
ISSN: 0167-9473
DOI: 10.1016/s0167-9473(01)00076-7