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Extracting higher-order knowledge from structured data

A data and high-level technology, applied in the field of information search, can solve problems such as difficult to express content

Active Publication Date: 2011-11-16
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Likewise, desired content may be related to other content in ways that are difficult to express as a traditional search query

Method used

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  • Extracting higher-order knowledge from structured data
  • Extracting higher-order knowledge from structured data
  • Extracting higher-order knowledge from structured data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0034] figure 1 is a high-level diagram illustrating a computing environment 100 in which some embodiments of the invention may be practiced. Computing environment 100 includes a user 102 interacting with a computing device 105 . Computing device 105 may be any suitable computing device, such as a desktop computer, laptop computer, mobile phone, or PDA. Computing device 105 may operate under any suitable computing architecture, and includes systems such as WINDOWS® developed by Microsoft Corporation. Any suitable operating system such as variants of the operating system.

[0035] Computing device 105 may have the capability to communicate with server 106 via any suitable wired or wireless communication medium. Communications between computing device 105 and server 106 may be via computer network 108, which may be any suitable number or type of telecommunications network, such as the Internet, a corporate intranet, or a cellular network. Server 106 may be implemented using...

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PUM

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Abstract

The invention relates to extracting higher-order knowledge from structured data. Systems and methods are described for use in higher-order-knowledge-based searching of content available from a network of data-storage devices. In various embodiments, at least one computational expression representative of a relational framework for content is identified and provided to an information retrieval system for use in searching for content desired by a user. The relational framework for content may include rules, expressions, equations, and / or constraints, which bind, relate, or associate certain content with other content. A computational expression may be determined from processing structured data. The structured data may be identified during crawling of a network or may be expressly provided to an extractor. Use of a computational expression by an information retrieval system may more efficiently and accurately return desired content to a user than is possible with traditional information searching methods.

Description

technical field [0001] The present invention relates to information search, and more particularly to extracting high-order knowledge from structured data. Background technique [0002] Currently, the World Wide Web provides a vast source of information as data stored on millions of computer-managed storage devices through communication via the Web. As used herein, "information" or "content" may mean any type and form of informational material and processor-executable applications available in a network of computing devices, such as text, sound (e.g., songs), numerical (eg, graphs, tables), video, audiovisual, history, statistics, interactive web pages, scripts, and more. Today, a person can easily access a vast source of information almost anywhere in the world using a personal computer or mobile communication device. [0003] While vast amounts of information are readily available, it is often difficult for a "user" of a human or network to search and retrieve the specifi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F17/30507G06F16/24564
Inventor T·F·贝格施特雷瑟V·米塔尔D·E·鲁宾
Owner MICROSOFT TECH LICENSING LLC