Knowledge retrieval and the World Wide Web

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Knowledge Retrieval and the World Wide Web

L ARGE-SCALE WEB SEARCH engines effectively retrieve entire documents, but they are imprecise, because they do not exploit and hence retrieve the semantic Web document content. We cannot automatically extract such content from general documents yet. Manually structuring Web documents— for example, with XML—lets us retrieve more precise information using stringand structure-matching tools, such ...

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Knowledge Retrieval and the Word Wide Web

Large-scale search engines for the WWW retrieve entire documents effectively. However, they can be considered imprecise because they do not exploit and hence retrieve the semantic content of Web documents. Such content cannot yet be automatically extracted from general documents. Manually structuring Web documents, e.g. via mark-up languages such as XML1, allows more precise information to be r...

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Extracting 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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Multilingual Information Retrieval in World Wide Web

The article addresses: (1). The design of an information retrieval (IR), as the Multilingual Information Retrieval Tool Hierarchy (MIRTH), which with virtual corpora on the World Wide Web, also known as Web or WWW. It is motivated by the desire to create a search engine to retrieve information by accessing a virtual. (2). The implementation of a general model of multilingual retrieval for the W...

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World Wide Web Information Retrieval Using Web Connectivity Information

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ژورنال

عنوان ژورنال: IEEE Intelligent Systems

سال: 2000

ISSN: 1094-7167

DOI: 10.1109/5254.846281