MESSAGE MANAGEMENT IN A SOCIAL NETWORKING ENVIRONMENT

• US 20180101595A1
• Filed: 12/26/2017
• Published: 04/12/2018
• Est. Priority Date: 10/10/2016
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bastide, Paul R., Broomhall, Matthew E., Evans, IV, Thomas J., Loredo, Robert E.
• Application Number:
  US15/854,022
• Publication Number:
  US 20180101595A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/27 Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/216 Handling conversation history, e.g. grouping of messages in sessions or threads
• CPC Class Codes: H04L 51/52 for supporting social networking services

Abstract

Disclosed aspects relate to message management utilizing a social networking environment. A set of message data may be detected in the social networking environment. A set of dynamic event data related to a dynamic event may be ingested. A set of inference data related to the dynamic event may be resolved using the set of dynamic event data related to the dynamic event. A corroboration relationship with respect to the set of message data and the set of inference data may be determined by correlating the set of message data with the set of inference data. Based on the corroboration relationship, a corroborated message related to the dynamic event may be compiled.

Claims

1. A computer-implemented method for message management utilizing a social networking environment, the method comprising:

detecting, in the social networking environment, a set of message data;

monitoring a set of dynamic event data related to a dynamic event;

ingesting the set of dynamic event data related to the dynamic event, wherein the set of dynamic event data is selected from a group consisting of;

audio data, video data, still image data, textual data, chat data, web conference data, and streaming data;

capturing a set of data objects using the set of dynamic event data related to the dynamic event;

resolving, using the set of dynamic event data related to the dynamic event, a set of inference data related to the dynamic event, wherein resolving the set of inference data related to the dynamic event comprises;

analyzing, to resolve the set of inference data related to the dynamic event, the set of data objects;

extracting, from the set of dynamic event data to resolve the set of inference data related to the dynamic event, a set of data elements, wherein the set of data elements includes;

a natural language, a topic, media, and a location;

determining, by correlating the set of message data with the set of inference data, a corroboration relationship with respect to the set of message data and the set of inference data, wherein determining the corroboration relationship with respect to the set of message data and the set of inference data comprises;

comparing a message topical element of the set of message data with an inferred topical element of the set of inference data;

comparing a message grammatical element of the set of message data with an inferred grammatical element of the set of inference data; and

.

comparing a message temporal element of the set of message data with an inferred temporal element of the set of inference data;

compiling, based on the corroboration relationship with respect to the set of message data and the set of inference data, a corroborated message related to the dynamic event; and

presenting, in a viewstream in the social networking environment, the corroborated message without displaying the set of inference data.