Abstract: Events can be searched by identifying a query that includes a time interval and a search component, determining a time increment associated with the time interval, and partitioning the time interval into partitions based on the time increment. For each partition, a relevance of each event in a collection of events that occur at a time in the partition is determined based on the query. A pre-determined number of the relevant events are displayed.

Abstract: Events can be searched by identifying a query that includes a time interval and a search component, determining a time increment associated with the time interval, and partitioning the time interval into partitions based on the time increment. For each partition, a relevance of each event in a collection of events that occur at a time in the partition is determined based on the query. A pre-determined number of the relevant events are displayed.

Abstract: Events can be searched by identifying a query that includes a time interval and a search component, determining a time increment associated with the time interval, and partitioning the time interval into partitions based on the time increment. For each partition, a relevance of each event in a collection of events that occur at a time in the partition is determined based on the query. A pre-determined number of the relevant events are displayed.

Abstract: Events can be searched by identifying a query that includes a time interval and a search component, determining a time increment associated with the time interval, and partitioning the time interval into partitions based on the time increment. For each partition, a relevance of each event in a collection of events that occur at a time in the partition is determined based on the query. A pre-determined number of the relevant events are displayed.

Abstract: Events can be searched by identifying a query that includes a time interval and a search component, determining a time increment associated with the time interval, and partitioning the time interval into partitions based on the time increment. For each partition, a relevance of each event in a collection of events that occur at a time in the partition is determined based on the query. A pre-determined number of the relevant events are displayed.

Abstract: Events can be searched by identifying a query that includes a time interval and a search component, determining a time increment associated with the time interval, and partitioning the time interval into partitions based on the time increment. For each partition, a relevance of each event in a collection of events that occur at a time in the partition is determined based on the query. A pre-determined number of the relevant events are displayed.

Abstract: A Scenario Generation Framework is described. The Framework provides the organizational infrastructure through which scenario data—a shared set of data supporting enterprise application coordination and interoperation—can effectively be managed from a centralized location. From this location, the framework provides capabilities whereby scenario data, described using a published data representation format, can be copied, viewed, formally compared, modified and combined with other segments of scenario data. Also from this location, suitably transformed data can be communicated to applications for use in initializing their execution in concert with other applications. In the preferred embodiment of the framework, workflow management capabilities are included to allow distribution and control of data preparation activities and an integrated workstation is made available to facilitate data manipulation and modification.