Category based, extensible and interactive system for document retrieval

Abstract

An integrated, automatic and open information retrieval system comprises an hybrid method based on linguistic and mathematical approaches for an automatic text categorization. It solves the problems of conventional systems by combining an automatic content recognition technique with a self-learning hierarchical scheme of indexed categories. In response to a word submitted by a requestor, said system retrieves documents containing that word, analyzes the documents to determine their word-pair patterns, matches the document patterns to database patterns that are related to topics, and thereby assigns topics to each document. If the retrieved documents are assigned to more than one topic, a list of the document topics is presented to the requestor, and the requestor designates the relevant topics. The requestor is then granted access only to documents assigned to relevant topics. A knowledge database linking search terms to documents and documents to topics is established and maintained to speed future searches. Additionally, new strategies are presented to deal with different update frequencies of changed Web sites.

Description

Technical field [0001] The present invention generally relates to the field of information retrieval (IR) systems that can be accessed at high speeds, and in particular to search engines applied to the Internet and / or corporate intranet domains, which use automatic text classification technology to retrieve accessible documents to support high-speed Provide search query results in the network environment. Background technique [0002] As the amount of public information accessible through multiple corporate networks, especially through the Internet, continues to increase, the importance of helping people to better find, filter, and manage these resources is also growing. Since the network represents an early, dynamic and not yet well-standardized market, it contains a large amount of unorganized documents and text materials. In particular, because there are no grammatical rules that can be used to retrieve stored information, the Internet, as an open medium that anyone can freely...

AI Technical Summary

Problems solved by technology

However, traditional classifiers are trained with a set of positive or negative instances and often produce binary values ​​that ignore the potential relationship between the article and multiple categories

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