Abstract: A method and system for creating contextual activity streams. The method includes analyzing unstructured data to identify at least one tag in the unstructured data, wherein the unstructured data includes at least one textual term, wherein the unstructured data is collected from a first plurality of data sources by an agent operable on a client node, wherein each identified tag is associated with an index to an indexed textual term of the at least one textual term; determining a context of the unstructured data based on the at least one identified tag; adding contextual data items gathered from a second plurality of data sources into a contextual activity stream, wherein each contextual data item has a context matching the determined context.

Abstract: A system and method for identifying topics in unstructured data. The method includes obtaining unstructured data from at least one data source, wherein the obtained unstructured data includes at least one unstructured data object; determining, based on the obtained unstructured data, at least one set of topic identification rules; identifying, based on the at least one unstructured data object and the at least one set of topic identification rules, at least one candidate topic of the unstructured data; and analyzing the unstructured data with respect to the at least one candidate topic to determine at least one representative topic from among the at least one candidate topic, wherein each of the at least one representative topic indicates a context of at least a portion of the unstructured data.

Abstract: A system and method for cross-cloud identity matching are provided. The method includes receiving at least one user identifier of a user of a client node; determining at least one cloud-based resource accessed by the client node; selecting a cloud-based resource of the at least one accessed cloud-based resource; extracting at least one possible user identity of the user from the selected cloud-based resource; identifying at least one user identifier of the extracted at least one possible user identity; matching between each identified user identifier and the at least one received user identifier; determining whether each possible user identity is associated with the user respective of the matching; and upon determining that at least one possible user identity is associated with the user, storing each associated user identity respective of the client node.

Abstract: A method and system for creating contextual activity streams. The method includes analyzing unstructured data to identify at least one tag in the unstructured data, wherein the unstructured data includes at least one textual term, wherein the unstructured data is collected from a first plurality of data sources by an agent operable on a client node, wherein each identified tag is associated with an index to an indexed textual term of the at least one textual term; determining a context of the unstructured data based on the at least one identified tag; adding contextual data items gathered from a second plurality of data sources into a contextual activity stream, wherein each contextual data item has a context matching the determined context.

Abstract: A method and system for generating contextual activity streams are provided. The method comprises receiving unstructured data collected by an agent operable on a client node from a plurality of data sources, wherein the collected unstructured data is of a user of the client node; analyzing the collected unstructured data to identify at least one tag in the collected unstructured data; determining a context of the collected unstructured data based in part on the at least one identified tag; creating a contextual activity stream; inserting contextual data items gathered from a plurality of social networks into the created contextual activity stream, wherein the contextual data items are data items shared by connections of the user and have a substantially similar context to the determined context; and causing a display of contextual data items in the contextual activity stream over the client node.

Abstract: A system and method for identifying topics in unstructured data. The method includes obtaining unstructured data from at least one data source, wherein the obtained unstructured data includes at least one unstructured data object; determining, based on the obtained unstructured data, at least one set of topic identification rules; identifying, based on the at least one unstructured data object and the at least one set of topic identification rules, at least one candidate topic of the unstructured data; and analyzing the unstructured data with respect to the at least one candidate topic to determine at least one representative topic from among the at least one candidate topic, wherein each of the at least one representative topic indicates a context of at least a portion of the unstructured data.

Abstract: A method and system for causing displays of a customized activity stream are provided. The method includes gathering a plurality of contextual activity streams, wherein the plurality of contextual activity streams is generated based on unstructured data collected from a plurality of data sources, wherein the generation of the plurality of contextual activity streams includes determining a context of the unstructured data based on at least one tag of the unstructured data; generating a customized singular activity stream based on at least one user-related parameter and at least one node-related parameter of a client node, wherein the customized singular activity stream includes a plurality of data items from the plurality of contextual activity streams; and causing a display of the customized singular activity stream over the client node.

Abstract: A method and system for generating and displaying a customized activity stream are provided. The method includes receiving a query from a client node; receiving at least one user-related parameter and at least one client node-related parameters; receiving unstructured data collected from a plurality of data sources; generating a plurality of contextual activity streams respective of the received unstructured data and the received query; generating a customized singular activity stream respective of the at least one user-related parameter and the at least one client node-related parameter, wherein the customized singular activity stream include a plurality of data items from one or more of the plurality of contextual activity streams; and causing a display of the customized singular activity stream over the client node.

Abstract: A system and method for generating analytics based on contextual data are presented. The method includes identifying at least one tag for a portion of data; determining at least one topic based on the identified at least one tag, wherein each topic is a descriptive contextual term; continuously monitoring data from a plurality of data sources respective of each topic; and generating, for each topic, an analytic based on the monitored data.

Abstract: A system and method for cross-cloud topic matching. The method comprises: receiving unstructured data as a collection of unstructured data portions; analyzing each of the unstructured data portions to identify at least one tag in each unstructured data portion; determining a topic for each unstructured data portion based on the identified at least one tag; analyzing the determined topics to identify at least one match between the topics; and generating at least one searchable term respective of the at least one match.