Browse Prior Art Database

Online and interactive search

IP.com Disclosure Number: IPCOM000049423D
Original Publication Date: 2005-Feb-09
Included in the Prior Art Database: 2005-Feb-09
Document File: 2 page(s) / 61K

Publishing Venue

IBM

Abstract

Disclosed is a solution for rapidly launch a search with an easy interface avoiding to use cut and past operations. This solution allows navigating very easily in a document when we need to search words in sequences.

This text was extracted from a PDF file.
At least one non-text object (such as an image or picture) has been suppressed.
This is the abbreviated version, containing approximately 53% of the total text.

Page 1 of 2

Online and interactive search

When we read an electronic document on a computer and when we must perform some searching into this document, a common way is to start with a keyword, launch the search dialog box to found a sentence including this word. When a sentence was found, after reading the sentence, we have often the need to search a new word (included in this sentence). In order to found this new word a common way is to perform copy and past operations (copy from document and past to the search dialog box). If the searching task involves many steps with many different keywords it is painful.

    The disclosed method avoids the need to perform copy and past operations when a user performs a multiple search operation. The main idea is to start a search with a very simple action like a double click without the need of copy and past operations. Here is an implementation example:

- A text is displayed with a standard browser, the user reads the text, when the user needs to perform a search about a word included in the text, the user just double clicks on this word. This double click starts an extensive search of all word occurrences and displays in a new window, each occurrence with its context. The user can double click on any word either in the main window or in the new one to perform a new search.

The results appear in a new window that contains each occurrence and its associated context. The associated context can be, for example, the line containing the word or a fixed amount of lines before and after the word. The context can be build also using a syntax analysis. For example, if the text is a source code, the context can be the funct...