Browse Prior Art Database

Desktop PC Display Search Tool

IP.com Disclosure Number: IPCOM000125078D
Original Publication Date: 2005-May-18
Included in the Prior Art Database: 2005-May-18
Document File: 1 page(s) / 25K

Publishing Venue

IBM

Abstract

The Desktop PC Display Search Tool uses an indexer and search engine to catalog all text that is rendered by an operating system's font/windowing engine and allows the user to search through that text later on.

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Desktop PC Display Search Tool

In today's interconnected era, we see more information through our PCs in a day than ever. The average businessperson receives 80 e-mails per day, visits dozens of websites, reviews several documents, and engages in many instant messaging sessions per day. Considering that we have more ways to communicate than ever, being able to recall this information on demand is still difficult. My idea solves the problem of "I've seen it before, but I can't remember where!" Currently, search tools integrated into operating systems can only search for text contained in files. Search engines on the Internet can search for web pages and newsgroup postings. However, there is still a wealth of information that cannot be searched: instant messaging conversations, command line prompts, and any other text that isn't saved into a file or web page.

There are currently no known solutions that address this problem. As mentioned earlier, individual search facilities do exist for searching their respective domains, however, there is no unified search mechanism for finding something that you've seen but cannot recall where you've seen it.

My proposal is for a search engine that indexes and can search all text-based content that is viewed on a PC regardless of the application. This search engine would capture all text that appears on a user's monitor over a period of time. The user could then search on a keyword, and all results pertaining to that keyword would appear. For instance, suppose an IBM WebSphere sales representative has multiple accounts. Over the course of a day, that person would probably receive dozens of e-mails, visit websites to see what the media has to say about WebSphere, have Sametime discussion with coworkers about certain accounts, and work on a Request for Quotation spreadsheet for his newest account, XYZ Inc. The next day, that sales representative wants to see everything related to XYZ that he or she saw yesterday. Using the se...