Abstract: A method, system and computer program product for storing rich text data that comprises identifying plain text and rich text attributes from the rich text data, wherein the rich text attributes specify richness features of the plain text, storing the plain text in a first legacy data record, and storing the rich text attributes in a second legacy data record prefixed by a token, wherein the token is recognizable by an application capable of applying the rich text attributes to the plain text to present the rich text data.

Abstract: A method, system and computer program product for storing rich text data that comprises identifying plain text and rich text attributes from the rich text data, wherein the rich text attributes specify richness features of the plain text, storing the plain text in a first legacy data record, and storing the rich text attributes in a second legacy data record prefixed by a token, wherein the token is recognizable by an application capable of applying the rich text attributes to the plain text to present the rich text data.

Abstract: A pre-defined set of similarity parameters associated with a plurality of clients in a virtual environment, including at least one non-spatial dynamic parameter, is identified. The identified pre-defined set of similarity parameters is processed using at least one tool from a pre-defined set of analysis tools. A group is created within the plurality of clients using the identified at least one non-spatial dynamic parameter. A plurality of group characteristics associated with the group is generated using the processing of the identified pre-defined set of similarity parameters. A user interface is provided to at least one client from the group for communication in response to the generated plurality of group characteristics, wherein the user interface is used for at least one of intra-group communication and communication external to the group.