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System and method for automatic detection of stale document information and information augmentation using live social data

IP.com Disclosure Number: IPCOM000237806D
Publication Date: 2014-Jul-14
Document File: 6 page(s) / 156K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system for automatic detection of stale document information and information augmentation using live social data. The system parses a document, then parses social data for any references to the concepts in the document, performs an analysis to determine if the document is stale, and finally contacts the author(s) if the document is determined to be stale.

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System and method for automatic detection of stale document information and information augmentation using live social data

In the context of complex software, for which consumers expect high levels of usability, static documentation is a persistent web page (e.g., blog posts, technical documentation, articles, etc.) created to document specific information regarding a specific topic. It does not change unless specifically modified by the author(s). However, to maintain user satisfaction, enterprises that sell software must provide up-to-date, thorough documentation (e.g., to remain consistent with new software versions, etc.). Documents with outdated information are considered stale.

The most common current process of updating static documentation relies on the author (s) to keep track of the information and determine whether updates are needed. A challenge with this process is that author(s) can often forget to modify the documents until contacted by a reader who notices out-of-date information. In addition, this can only happen when a system affords communication between the authors and the readers, and the information is updated in a timely manner. This also requires the author to monitor all dependent components of owned documents for updates . For example, if a new server has been released or a critical fix-pack has been delivered of which the author is not aware, then a document becomes stale and potentially unusable because information therein might no longer be applicable.

Existing automated reminder systems are not fast enough to be helpful in keeping documents current , or remind the authors to review the documents so frequently that the requests are eventually ignored. Project management techniques that track and flag documentation to update at the end of cycles are only applicable to documentation that deals with product release information . Technical support documentation can easily be forgotten if there are thousands of similar documents . In addition, if the document

was written by an author who is not involved with the development of the product such as a blog writer for a technology website then it is almost impossible to track that document.

A system to parse a document and look for related information already exists. For example, there are already capabilities present to break a document down into keywords and perform a search of repositories returning appropriate documents for those keywords.

Natural language processors can read entire repositories or websites to gather the concepts contained in the information found .

There are notification systems that can connect with a document author through e -mail, instant messaging, phone call, and text messages.

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The novel contribution is a system for automatic detection of stale document information and information augmentation using live social data. The new system combines all the previous processes in order to parse a document, then parse social da...