Abstract: A non-transitory computer readable storage medium includes executable instructions to receive primary matched values with corresponding document identifications. The primary matched values correspond to a specified primary value, for example expressed in a search query. A secondary scalar index is scanned to match the document identifications with secondary matched values with corresponding secondary values. A tertiary scalar index is scanned to match the document identifications with tertiary matched values with corresponding tertiary values. The secondary values and tertiary values are provided as tuples. Each tuple has the specified primary value, a secondary value, a tertiary value and frequency indicia.

Abstract: A method of operating a tree structured database includes receiving a document, forming a top-down tree characterizing the document, generating pre-computed indices characterizing the document, combining subsets of the pre-computed indices to dynamically create a table of information characterizing the document, and resolving a structured query language query against the table to form collected data.

Abstract: A non-transitory computer readable storage medium includes executable instructions to receive primary matched values with corresponding document identifications. The primary matched values correspond to a specified primary value, for example expressed in a search query. A secondary scalar index is scanned to match the document identifications with secondary matched values with corresponding secondary values. A tertiary scalar index is scanned to match the document identifications with tertiary matched values with corresponding tertiary values. The secondary values and tertiary values are provided as tuples. Each tuple has the specified primary value, a secondary value, a tertiary value and frequency indicia.

Abstract: A method of operating a tree structured database includes receiving a document, forming a top-down tree characterizing the document, generating pre-computed indices characterizing the document, combining subsets of the pre-computed indices to dynamically create a table of information characterizing the document, and resolving a structured query language query against the table to form collected data.

Abstract: A method for loading information into a tree structured database includes receiving a document and forming a top-down tree characterizing the document. Leaf nodes in the top-down tree are identified. Bottom-up indices are formed for the leaf nodes, where the bottom-up indices characterizes paths from selected leaf nodes to a root node of the top-down tree. The top-down tree and bottom-up indices are stored as separately searchable entities in the tree structured database.

Abstract: A system and method for monitoring multiple online resources in different formats includes a format transformer, an analytic parser, and a file comparator. The format transformer converts each monitored online resources to a strict formatted file. An analytic parser identifies relevant data within each of the strict formatted files. A comparator determines whether the relevant data has been changed by comparing it to an archived copy of the relevant data. If a change occurred, an individual is automatically notified and a database updated.

Abstract: A system and method for monitoring multiple online resources in different formats includes a format transformer, an analytic parser, and a file comparator. The format transformer converts each monitored online resources to a strict formatted file. An analytic parser identifies relevant data within each of the strict formatted files. A comparator determines whether the relevant data has been changed by comparing it to an archived copy of the relevant data. If a change occurred, an individual is automatically notified and a database updated.