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System and Method for Fact and Consistency Checking of Digital Communication Using Big Data

IP.com Disclosure Number: IPCOM000233765D
Publication Date: 2013-Dec-19
Document File: 3 page(s) / 21K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system and method for extracting facts from digital communication and comparing these facts with known and trusted sources, and then providing a visual indication to the user when the "fact" is correct or incorrect. The core novelty of this solution is the ability to extract words and/or phrases from digital communication across a plurality of individuals and communications.

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System and Method for Fact and Consistency Checking of Digital Communication Using Big Data

With all the different forms of digital communication available today (e.g., email, instant messages, documents, presentations, etc.) it can be difficult for a user to know whether the document or medium being reviewed is accurate and reliable. This is particularly pertinent as individuals might make decisions based on the viewed content, with

minimal research with respect to this content.

Moreover, in companies, especially large organizations, there is a problem keeping facts consistent and reliable across different organizations, departments, or groups. For example, if a person in the sales division sends an email to a customer and then a person from the development division sends an email to the customer, these two forms of communication could contain contradicting facts about a proposed deal/solution for a customer. This is a huge problem as it not only confuses the reader, but also damages the credibility of the company.

The state of the art in solving the correctness and consistency of client interaction is the user of a Customer Relationship Management System (CRM). Such systems attempt to encompass all/most interactions with clients by which consistency and correctness can be checked manually, or enhanced by sending information downloaded through such systems. Such a single system cannot capture the volume, velocity, and variety of communication and data exchanged by two enterprises.

The solution is a system and method for extracting facts from digital communication and comparing these facts with known and trusted sources, and then providing a visual indication to the user when the "fact" is correct or incorrect. The core novelty of this solution is the ability to extract words and/or phrases from digital communication across a plurality of individuals and communications. The proposed system and method help eliminate contradictions across people in small or large organizations who may be dealing with the same customer and who may not otherwise interact in or outside the context of this customer; this solution provides a method for comparing "facts" between users in an organization.

The system and method extract facts from digital communication such as email, and other forms of written communications (e.g., business proposals, document libraries, etc.). To accomplish this, the system and method run as an enterprise service, proxying and facilitating email and other social tools in an enterprise organization. This system works in the manner of a spell check function, running before a correspondence or communication is committed. Right after the correspondence is readied, the enterprise service invokes this system to extract facts from communications through analyses of communications and communications analytics (i.e., significant statements). These facts can possibly be correct or incorrect.

To extract these facts, the system uses a...