Abstract: An example may include identifying an initial context of a meeting based on one or more data inputs received from one or more participant devices operated by a plurality of meeting participants, querying remote data sources to identify one or more additional contexts associated with one or more of a specific period of time and a trending topic related to the initial context, forwarding a first of the one or more additional contexts to a first collaboration space of a virtual collaboration space, forwarding at least one additional context of the one or more additional contexts to a second collaboration space of the virtual collaboration space, identifying one or more sentiment actions associated with the one or more meeting participants, and overlaying the first collaboration space and the second collaboration space on an augmented reality display of a device based on the one or more sentiment actions.

Abstract: An example may include identifying an initial context of a meeting based on one or more data inputs received from one or more participant devices operated by a plurality of meeting participants, querying remote data sources to identify one or more additional contexts associated with one or more of a specific period of time and a trending topic related to the initial context, forwarding a first of the one or more additional contexts to a first collaboration space of a virtual collaboration space, forwarding at least one additional context of the one or more additional contexts to a second collaboration space of the virtual collaboration space, identifying one or more sentiment actions associated with the one or more meeting participants, and overlaying the first collaboration space and the second collaboration space on an augmented reality display of a device based on the one or more sentiment actions.

Abstract: An example may include identifying an initial context of a meeting based on one or more data inputs received from one or more participant devices operated by a plurality of meeting participants, querying remote data sources to identify one or more additional contexts associated with one or more of a specific period of time and a trending topic related to the initial context, forwarding a first of the one or more additional contexts to a first collaboration space of a virtual collaboration space, forwarding at least one additional context of the one or more additional contexts to a second collaboration space of the virtual collaboration space, identifying one or more sentiment actions associated with the one or more meeting participants, and overlaying the first collaboration space and the second collaboration space on an augmented reality display of a device based on the one or more sentiment actions.

Abstract: An example may include receiving one or more data inputs from collaboration by one or more participant devices operated by a number of meeting participants of a meeting, identifying an initial context of the meeting based on the one or more data inputs, querying a databank of previously stored information to identify one or more additional contexts related to the initial context, linking the initial context and the one or more additional contexts by establishing one or more entity relationships, and forwarding the initial context and the one or more additional contexts as entities in a virtual collaboration space.

Abstract: An example may include identifying an initial context of a meeting based on one or more data inputs received from one or more participant devices operated by a plurality of meeting participants, querying remote data sources to identify one or more additional contexts associated with one or more of a specific period of time and a trending topic related to the initial context, forwarding a first of the one or more additional contexts to a first collaboration space of a virtual collaboration space, forwarding at least one additional context of the one or more additional contexts to a second collaboration space of the virtual collaboration space, identifying one or more sentiment actions associated with the one or more meeting participants, and overlaying the first collaboration space and the second collaboration space on an augmented reality display of a device based on the one or more sentiment actions.

Abstract: An example may include identifying an initial context of a meeting based on one or more data inputs received from one or more participant devices operated by a plurality of meeting participants, querying remote data sources to identify one or more additional contexts associated with one or more of a specific period of time and a trending topic related to the initial context, forwarding a first of the one or more additional contexts to a first collaboration space of a virtual collaboration space, forwarding at least one additional context of the one or more additional contexts to a second collaboration space of the virtual collaboration space, identifying one or more sentiment actions associated with the one or more meeting participants, and overlaying the first collaboration space and the second collaboration space on an augmented reality display of a device based on the one or more sentiment actions.

Abstract: An example may include receiving one or more data inputs from collaboration by one or more participant devices operated by a number of meeting participants of a meeting, identifying an initial context of the meeting based on the one or more data inputs, querying a databank of previously stored information to identify one or more additional contexts related to the initial context, linking the initial context and the one or more additional contexts by establishing one or more entity relationships, and forwarding the initial context and the one or more additional contexts as entities in a virtual collaboration space.