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A Method of Managing Meetings using a Collaborative Knowledge Graph

IP.com Disclosure Number: IPCOM000241321D
Publication Date: 2015-Apr-16
Document File: 3 page(s) / 105K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method for managing meetings, including attendees, interactions, supporting materials, and many other components. The novel system and apparatus assist in capturing, searching with access controls, and reusing a knowledge graph related to one or many collaborative meeting events.

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A Method of Managing Meetings using a Collaborative Knowledge Graph

Meetings are inherently knowledge intensive. For example, a meeting contains multiple attendees and may be associated with related meetings (e.g., is a follow-up meeting of a previous meeting) or one instance of a series of recurring meeting. Presentations and supporting materials are also associated with meetings . These objects form an implicit knowledge graph.

Conventional methods of managing meetings sometimes lack structure and are not well organized. For example, attendees might experience the stress of hurriedly searching for a document or bit of information before or during a meeting , or might forget the actions items for the meeting. A meeting is an essential part of collaboration; therefore, its effectiveness impacts the business operation efficiency . However, a method for managing meetings, including attendees, interactions, supporting materials, among many other components, is not currently available.

The novel solution is a method and apparatus to assist in capturing , searching with access controls, and reusing a knowledge graph related to one or many collaborative meeting events. The proposed approach explicates the knowledge graph, which is helpful before, during, and after a meeting. The method and system automatically provide a dynamically updated knowledge graph related to one or more meetings .

The method of providing a meeting-based knowledge graph consists of the following steps:

1. Obtain an invitation to a meeting specifying the participants , date, time, location, subject, and optionally one or more data objects

2. Determine the features of participants, the subject, and the data objects 3. Create a knowledge graph, which includes the participants, the subject, and the data objects, with the relationship linkages based on the identified features

4. Provide this knowledge graph to the participants of the meeting before , during, and after the scheduled meeting

During this process, the system allows the participants to add, delete, and modify (e.g., annotate) both the nodes and linkages in the knowledge graph before , during, and after the meeting. The system continuously updates the knowledge graph using data and linkages automatically obtained before, during, and after the meeting. This can include providing both publically and privately accessible subsets of the knowledge graph ; these subsets are not necessarily mutually exclusive. The system calculates a metric from the knowledge graph (e.g., calculating an integer from using a hash function , e.g., one which adds 1000 for each nodes of the knowledge graph, and 1 for each link), and then returns this measurement. The metric is used to express one or...