SYSTEM, METHOD AND ARTICLE OF MANUFACTURE FOR ADVANCED INFORMATION GATHERING FOR TARGETTED ACTIVITIES

Patent №

US 7,149,741

Granted

2006-12-12

Filed 2003

Owner

Lab

AI components

3

ml · nlp · planning

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

10748376

An agent based system assists in preparing an individual for an upcoming meeting by helping him/her retrieve relevant information about the meeting from various sources based on preexisting information in the system. The system obtains input text in character form indicative of the target meeting from a calendar program that includes the time of the meeting. As the time of the meeting approaches, the calendar program is queried to obtain the text of the target event and that information is utilized as input to the agent system. Then, the agent system parses the input meeting text to extract its various components such as title, body, participants, location, time etc. The system also performs pattern matching to identify particular meeting fields in a meeting text. This information is utilized to query various sources of information on the web and obtain relevant stories about the current meeting to send back to the calendaring system. For example, if an individual has a meeting with Netscape and Microsoft to talk about their disputes, the system obtains this initial information from the calendaring system. It will then parse out the text to realize that the companies in the meeting are “Netscape” and “Microsoft” and the topic is “disputes”. It will then surf the web for relevant information concerning the topic. Thus, in accordance with an objective of the invention, the system updates the calendaring system and eventually the user with the best information it can gather to prepare for the target meeting. In accordance with a preferred embodiment, the information is stored in a file that is obtained via selection from a link imbedded in the calendar system.

Machine learningNatural languagePlanningG06F 16/335G06F 16/95G06Q 10/109Y10S 707/959Y10S 707/99933Y10S 707/99943

AI classification

Natural language1.00
Planning1.00
Machine learning0.89
Knowledge representation0.16
AI hardware0.09
Evolutionary computation0.00
Vision0.00
Speech0.00
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