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Document management using business objects

a business object and document management technology, applied in the field of information processing, can solve the problems of inefficiency and time-consuming, limited search tools for natural language documents, and inability to search a corpus of textual documents for a particular occurrence of a certain data obj

Inactive Publication Date: 2009-03-05
NOGACOM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0004]Embodiments of the present invention provide improved methods and systems for analyzing a set of data objects in a data repository of an organization, and using these data objects in tagging, classifying and then searching a corpus of data.

Problems solved by technology

Search tools for natural language documents, however, are limited for the most part to keyword-based techniques.
As a result, searching a corpus of textual documents for a particular occurrence of a certain data object is frequently inefficient and time-consuming and may miss relevant occurrences of an object of interest, such as a person, company or product.

Method used

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  • Document management using business objects
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Examples

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Embodiment Construction

Overview

[0014]Embodiments of the present invention that are described hereinbelow provide apparatus, methods and software for document and knowledge management within an organization. The methods focus on analyzing a set of data objects in the organization's data repositories, which are then used in tagging, classifying, indexing and searching a corpus of documents that is maintained by the organization. In a business, for example, the data objects may refer to entities of importance to the business, such as employees, products, customers and suppliers of the business, departments or units of the organization, or geographical areas. For convenience and clarity, the description that follows will relate to these sorts of data objects, which will be referred to hereinafter as “business objects.” The principles of the present invention, however, are similarly applicable to organizations and data objects of other types.

[0015]Each business object is identified by properties that typically...

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PUM

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Abstract

A computer-implemented method for processing information includes collecting data objects from one or more data repositories, the data objects having respective properties, which identify the data objects. The properties of the collected data objects are analyzed in order to derive respective identifiers corresponding to the data objects. A text string that matches one of the identifiers of a data object is identified within a context in a document. Responsively to the context, an indication that the identified text string is a valid instance of the data object is generated, and the document is processed responsively to the indication.

Description

CROSS-REFERENCE TO RELATED APPLICATION[0001]This application claims the benefit of U.S. Provisional Patent Application 60 / 968,329, filed Aug. 28, 2007, whose disclosure is incorporated herein by reference.FIELD OF THE INVENTION[0002]The present invention relates generally to information processing, and specifically to methods and systems for indexing and searching documents.BACKGROUND OF THE INVENTION[0003]Organizations, such as business enterprises, typically accumulate vast amounts of data, including both structured data, such as database and spreadsheet records, and unstructured data, in the form of natural language text (also referred to as “free text”). Structured data can be efficiently indexed, addressed and searched using well-known tools, such as structured query language (SQL). Search tools for natural language documents, however, are limited for the most part to keyword-based techniques. As a result, searching a corpus of textual documents for a particular occurrence of a...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06F17/30
CPCG06F17/278G06F40/295
Inventor PELED, ARIELSAVION, GILADREZNIKOV, ELADREGEV, YIZHARSHMULEWITZ, IZHAK
Owner NOGACOM
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