Accenture Corporation

Knapp Investment Company Limited

Chad Burkey

Denise Ho

Lucian P Hughes

Sergei Lopatin

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 us 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.

System, method and article of manufacture for advanced information gathering for targeted activities

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.

System, method and article of manufacture for advanced information gathering for targetted activities

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 &#x201c;disputes&#x201d;. 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.

Advanced information gathering for targeted activities

A system, method and article of manufacture for facilitating a user in, or creating for a user, a web-based active knowledge management system to facilitate an intelligent agent coordinator. The architecture facilitates delivery of information whenever and where ever a user requires the information in an appropriate format based on characteristics of the user at that instant. Personalization of information is also afforded by taking into account the history of user interactions with various applications and current real time situations, such a time and place, in order to create a plurality of unique user profile. Each unique profile can then be associated with a unique address, as well as being given restriction exclusive to that profile. Associations, such as business rules or databases, can also be related to each such profile. A fast and scalable information prioritization subsystem is also utilized to incorporate intelligent agents coordinator opinion, user preferences, and history of user interactions. In addition, speech recognition and speech synthesis are combined with intelligent agent animated representation and tactile input.

Growing community of inventors

Atherton, CA, United States of America

Chad Burkey