International Business Machines Corporation

John V Meegan

Peter Frederick Haggar

Keith Allen Wells

Arnaud J Le Hors

Heather Marie Kreger

Donald E Buddenbaum

Min Li

Craig A Statchuk

Zhong Tian

Christopher B Ferris

Xiao Feng Zhao

Michael G Rowling

A method, computer program product, and computer system for monitoring, at a computing device, at least a portion of a collaboration session provided by one or more participants of the collaboration session. At least the portion of the collaboration session is analyzed to determine a recommendation associated with at least the portion of the collaboration session. A source for information associated with the recommendation is searched based upon, at least in part, analyzing at least the portion of the collaboration session. At least one participant of the one or more participants is presented the recommendation and the information associated with the recommendation.

Providing of recommendations determined from a collaboration session system and method

A method, system and computer program product for managing work and personal items. Information is received from a user to populate a user profile providing rules to determine a priority for work and personal items to be addressed by the user. Work and personal data sources (e.g., e-mails, social media) are monitored. The content in these monitored data sources are scanned and analyzed for work and personal items to be addressed by the user. These work and personal items are then presented to the user in a prioritized order based on the rules in the user profile. In this manner, the user is able to effectively manage the various work and personal items from various data sources by receiving a prioritized list of work and personal items that need to be addressed based on various factors that the user deems to be important as provided in the user's profile.

Prioritizing work and personal items from various data sources using a user profile

Various embodiments provide for the use of analytics to determine a number of key factors prior to a user sending a communication (e.g., an email or instant message, making an online social media post, or accepting or requesting friendship on a social media site). The analytics may determine content, subject, emotion, relationships, and other relevant details when users interact (e.g., with email or other social software). Any alerts/suggestions provided can be provided in real-time as the person types.

Aligning content and social network audience using analytics and/or visualization

For each of a plurality of concepts indicated in an XBRL schema associated with an XBRL instance, concept relationship information is determined. The concept relationship information is determined from the XBRL schema, context information indicated in the XBRL instance, and at least one of a plurality of files that constitute a taxonomy set for the XBRL instance. Attribute information is determined for each concept based, at least in part, on the XBRL schema and at least one of the files that constitute the taxonomy set. An XML document is generated with XML elements structured in accordance with the concept relationship information. Each of the XML elements is populated with corresponding ones of XBRL facts to yield the structured XML data model instance.

LossLess transformation of XBRL instance to XML data model instance

Growing community of inventors

Ridgefield, CT, United States of America

John V Meegan