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Method and system for assessing relevant properties of work contexts for use by information services

a technology of work contexts and information services, applied in the field of methods, can solve problems such as the inability of tools to function effectively in more realistic work environments, the inability of information retrieval systems to consider the relevance of active goals, and the inability of information retrieval systems to meet user needs, so as to and increase the weight of words

Inactive Publication Date: 2006-09-21
NORTHWESTERN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The system effectively assists users in retrieving contextually relevant information without manual query formation, improving search performance by refining queries based on user goals and context, and providing appropriate resources tailored to the user's needs.

Problems solved by technology

This type of information retrieval system poses problems to users because the users need to be familiar with the proper format for inputting queries into such systems.
Although these tools provide basic assistance on query formation during information search and retrieval, such tools cannot function effectively in more realistic work environments in which the content of the query of question plays a paramount role.
These scenarios illustrate various problems associated with conventional information retrieval systems.
The first problem is that conventional information retrieval systems do not consider relevance of active goals in searching for information.
Typically, these goals are not fully expressed by users in forming their queries when using conventional information retrieval systems.
The second problem is that conventional information retrieval systems are subject to word-sense ambiguity.
The third problem is that conventional information retrieval systems fail to consider audience appropriateness when searching and retrieving information based on keywords or queries provided by the user.
Moreover, when using conventional information retrieval systems, users often are unable to provide sufficient information in their queries.
Needless to say, a two-word query most likely does not contain enough information to discern the active goals of the user, or even the appropriate senses of the words in the query.

Method used

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  • Method and system for assessing relevant properties of work contexts for use by information services

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Embodiment Construction

[0030] In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure. It will be apparent, however, to one skilled in the art that the present disclosure may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to avoid unnecessarily obscuring the present disclosure.

System Architecture

[0031]FIG. 1 is a block diagram of system architecture of an exemplary information retrieval system 100 according this disclosure. A user utilizes a data processing system, such as a computer, to execute application software 105. The information retrieval system 100 interacts with the application software 105 to detect and / or observe the operation and activities of an active task that the user is manipulating, and determines the user's potential information needs from this and other information, e.g., att...

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PUM

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Abstract

An information retrieval system for automatically retrieving information related to the context of an active task being manipulated by a user. The system observes the operation of the active task and user interactions, and utilizes predetermined criteria to generate context representation of the active task that are relevant to the context of the active task. The information retrieval system then processes the context representation to generate queries or search terms for conducting an information search. The information retrieval system determines the relevance of a word to the context by utilizing an adaptive weighting system. The information retrieval system assigns varying weights to different attributes of a word and calculates an accumulated weight of the word by accumulating all weights assigned to the word. The attributes may include word size, style, location of the word, etc. The system then ranks the importance of words based on their respective accumulated weight, and chooses words that rank within a predetermined number from the top to form search terms to conduct an information search using various data sources.

Description

FIELD OF THE DISCLOSURE [0001] The present disclosure generally relates to automatic method and system for forming queries to retrieve information, and more specifically, to method and system to automatically generate keywords, phrases and other entities representing the content and / or context of an active task being manipulated by a user and to retrieve information based on the representation. The representation of work context may be used to support a variety of information services. BACKGROUND OF THE DISCLOSURE [0002] Information retrieval systems, such as databases or search engines, allow users to retrieve information related to a specific subject by using one or more keywords that may be related to the specific subject. For example, a legal search service called Lexis® provided by the LexisNexis Group is widely used in the legal field to search for cases, journal articles, treaties, as well as other publications that are related to a specific topic or issue. Another informatio...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06F17/30
CPCG06F17/30699G06F17/3053G06F17/30864G06F16/24578G06F16/335G06F16/951
Inventor HAMMOND, KRISTIANBUDZIK, JEROMEBIRNBAUM, LAWRENCE
Owner NORTHWESTERN UNIV
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