A co-user list may be configured based on user interaction in a virtual world environment. A first user may be enabled to navigate the virtual world environment using an instant messenger application that includes the co-user list. A second user that is located proximate to the first user in the virtual world environment may be detected. An attribute associated with the second user may be determined. The co-user list may be configured based on the attribute associated with the second user.

A co-user list may be configured based on user interaction in a virtual world environment. A first user may be enabled to navigate the virtual world environment using an instant messenger application that includes the co-user list. A second user that is located proximate to the first user in the virtual world environment may be detected. An attribute associated with the second user may be determined. The co-user list may be configured based on the attribute associated with the second user.

Embodiments disclosed herein relate to methods and systems for transliterating reasoning graphs and using the same to determine insights.

Embodiments disclosed herein relate to methods and systems for transliterating reasoning graphs and using the same to determine insights.

The present disclosure relates to computer-implemented methods and computer systems for providing user-friendly and understandable presentations of Open Data (OData) Protocol resources through an automatic translation and modification process. The present disclosure provides a user interface tool for presenting and browsing OData fees that can provide a visualization of an OData feed structure to users in an otherwise unavailable format. In particular, developers can view and modify resources outside of the underlying format in which such OData feeds are traditionally presented. The user interface tool can provide an out-of-box user interface with which a developer can view and modify resources associated with a feed, browse related entity sets, set filters, and perform other operations. In essence, the user interface tool can decrease user's efforts and difficult in understanding particular OData feeds and the entities associated therewith.

An AI platform may receive a request for information on text. The text is processed through a text mining pipeline for dynamic attribute extraction. An engine determines entities in the text and utilizes the entities to determine a relationship pattern. The engine identifies a trigger by matching one of the entities with a predefined entity in a utility authority file, locates an entity in close proximity to the trigger, identifies a value or regular expression in close proximity to the trigger in the text, and creates a triplet containing the entity, the trigger, and the value or regular expression, the triplet representing the relationship pattern. The engine applies an action to the triplet, wherein the action comprises obtaining the value from the text or translating the regular expression. The engine attaches the value or a result from the translating to the entity as a dynamic attribute of the entity.

An AI platform may receive a request for information on text. The text is processed through a text mining pipeline for dynamic attribute extraction. An engine determines entities in the text and utilizes the entities to determine a relationship pattern. The engine identifies a trigger by matching one of the entities with a predefined entity in a utility authority file, locates an entity in close proximity to the trigger, identifies a value or regular expression in close proximity to the trigger in the text, and creates a triplet containing the entity, the trigger, and the value or regular expression, the triplet representing the relationship pattern. The engine applies an action to the triplet, wherein the action comprises obtaining the value from the text or translating the regular expression. The engine attaches the value or a result from the translating to the entity as a dynamic attribute of the entity.

A method and system is disclosed that generates a dictionary of terms comprising terms associated with games of a collaboration platform. The method further identifies search terms associated with previous search queries. The method compares the search terms with the terms of the dictionary to determine whether the search terms associated with the previous search queries are in the dictionary of terms. The method identifies a first set of the search terms that are candidates to receive search suggestions and a second set of the search terms that are to be the search suggestions based on the comparison. The method also generates a record that associates candidate search terms of the first set of the search terms with respective search suggestions of the second set of the search terms. The record is used to provide a search suggestion for a search term of a new search query.

Systems and methods for providing personalized answers to a user's query using a learned user vocabulary. A natural-language user interface (NLUI) application tracks input terms in user queries and generates responses that incorporate those input terms. The NLUI application may modify stored response templates or may modify a response generated based on stored response templates, by replacing a template term with an input term that has a common definition.

A cognitive communication assistant receives a message transmitted over a communication network from a sender to a recipient. A sender's industry identified with the sender and a recipient's industry identified with the recipient are determined. One or more terms associated with the sender's industry are extracted from the message. A definition associated with the one or more terms is searched for in an on-line reference text. The message is updated based on the definition. The message is transmitted over the communication network to the recipient.