Semantic phrase suggestion engine

A method of providing semantic phrase suggestions, comprising:

• receiving initial user input including a plurality of terms, the initial user input coming from a user who is associated with a group of users from a plurality of groups, and wherein each of the plurality of terms includes an importance indicator defined for a specific group of users;
• for each respective term:
• identifying, with an electronic processor, an associated term type if the respective term is defined in the semantic network;
• identifying, with the electronic processor, alternative terms related to the respective term and having a same term type and a calculated user-specific importance indicator that is greater than its related respective term;
• and
• if the respective term is not defined in the semantic network, providing alternative spelling suggestions based on the initial user input and spelling conditions,
• wherein user-specific importance indicator includes term importance information for a combination of all users, user groups, and a particular user, and includes the relative importance of one or more knowledge domains defined by a combination of the particular user and the particular user's associated user groups, and
• wherein calculation of a greater importance indicator generates an importance indicator associated with each alternative term that is associated with the group of users and indicates importance greater than the importance indicator associated with the respective term and associated with the group of users.

A computer-implemented method of providing semantic phrase suggestions, comprising:

• receiving initial user input including a plurality of terms, the initial user input coming from a user who is associated with a group of users from a plurality of groups, and wherein each of the plurality of terms includes an importance indicator defined for a specific group of users;
• identifying a term type associated with each term of the initial user input;
• comparing the term types with a pre-defined semantic grammar definition;
• identifying, based on the comparing, term types compatible with the initial user input;
• identifying suggestion terms to augment the initial user input based on grammar compatibility and user-specific importance indicators;
• and
• suggesting the suggestion terms,
• wherein user-specific importance indicator includes term importance information for a combination of all users, user groups, and a particular user, and includes the relative importance of one or more knowledge domains defined by a combination of the particular user and the particular user's associated user groups, and
• wherein calculation of a greater importance indicator generates an importance indicator associated with each alternative term that is associated with the group of users and indicates importance greater than the importance indicator associated with the respective term and associated with the group of users.