Abstract: Embodiments as disclosed herein allow simple specification of prioritized searches of chains of regions and efficient implementation of such searches. Specifically, embodiments as disclosed may provide a search operator that addresses the problem of complex query construction for finding objects having a particular value in one of a prioritized set of regions and efficiently implement the searches specified by such search operators.

Abstract: Responsive to a request from a user device, a content server may perform an electronic discovery function. The request may include information on a quantity of data objects desired from a collection of data objects stored in a repository. Objects stored in the repository may be managed by the content server. The content server may determine a number of batches and process the collection of data objects into batches, each having a batch size. An efficient selection process may be determined and utilized in selecting data objects from each of the batches such that a total number of data objects selected from the collection is not less than the quantity of data objects desired. The content server may make a disk image of the selected data objects and communicate same to the user device over a network.

Abstract: Systems, methods and computer program products for using searchable aggregate indices associated with non-aggregated value storage. In one method, a search system stores metadata values for each of a plurality of objects in a storage unit. The metadata values are stored in corresponding value storage locations that are associated with an identifiable metadata fields. An aggregate index is provided which includes a dictionary of terms that are contained in metadata values associated with a designated set of the metadata fields. The aggregate index is searched for one or more specific search terms, and one or more of the metadata values are retrieved from the value storage locations in response to the search, where the individual metadata fields associated with the retrieved metadata values are identified.

Abstract: Systems, methods and computer program products for using searchable aggregate indices associated with non-aggregated value storage. In one method, a search system stores metadata values for each of a plurality of objects in a storage unit. The metadata values are stored in corresponding value storage locations that are associated with an identifiable metadata fields. An aggregate index is provided which includes a dictionary of terms that are contained in metadata values associated with a designated set of the metadata fields. The aggregate index is searched for one or more specific search terms, and one or more of the metadata values are retrieved from the value storage locations in response to the search, where the individual metadata fields associated with the retrieved metadata values are identified.

Abstract: Responsive to a request from a user device, a content server may perform an electronic discovery function. The request may include information on a quantity of data objects desired from a collection of data objects stored in a repository. Objects stored in the repository may be managed by the content server. The content server may determine a number of batches and process the collection of data objects into batches, each having a batch size. An efficient selection process may be determined and utilized in selecting data objects from each of the batches such that a total number of data objects selected from the collection is not less than the quantity of data objects desired. The content server may make a disk image of the selected data objects and communicate same to the user device over a network.

Abstract: Embodiments as disclosed may provide a search operator that addresses the problem of query construction for finding objects that include some number (N) of a set of terms (M). Moreover, embodiments as disclosed herein may efficiently implement the searches specified by such subset operators using a subset process that combines results from a set of term processes where only one term process may be needed for each search term (or search term variant).

Abstract: Embodiments as disclosed may provide a search operator that addresses the problem of query construction for finding objects that include some number (N) of a set of terms (M). Moreover, embodiments as disclosed herein may efficiently implement the searches specified by such subset operators using a subset process that combines results from a set of term processes where only one term process may be needed for each search term (or search term variant).

Abstract: A search engine may maintain a list of derived metadata. When an event occurs that requires updating a search index, the search engine can determine which metadata is derived metadata and take appropriate actions with respect to the derived metadata. For example, if a request is received to update the index for a particular object, the search engine may protect the derived metadata from change while updating the other metadata in the index. As another example, if a request is received to update the text content for the object, the search engine may change the text content and the derived metadata. By identifying derived metadata, the search engine can protect the derived metadata from change when a request is received that otherwise causes metadata to change and can change the derived metadata when a request is received that would otherwise not change the metadata portion of the index.

Abstract: A search engine may maintain a list of derived metadata. When an event occurs that requires updating a search index, the search engine can determine which metadata is derived metadata and take appropriate actions with respect to the derived metadata. For example, if a request is received to update the index for a particular object, the search engine may protect the derived metadata from change while updating the other metadata in the index. As another example, if a request is received to update the text content for the object, the search engine may change the text content and the derived metadata. By identifying derived metadata, the search engine can protect the derived metadata from change when a request is received that otherwise causes metadata to change and can change the derived metadata when a request is received that would otherwise not change the metadata portion of the index.

Abstract: Embodiments as disclosed herein allow simple specification of searches of values within regions and efficient implementation of such searches. Specifically, embodiments as disclosed may provide a search operator that addresses the problem of complex query construction for finding objects having a particular value, including a minimum or a maximum value, in one of a set of regions, and the efficient implementation of the searches specified by such search operators.

Abstract: Embodiments as disclosed herein allow simple specification of searches of values within regions and efficient implementation of such searches. Specifically, embodiments as disclosed may provide a search operator that addresses the problem of complex query construction for finding objects having a particular value, including a minimum or a maximum value, in one of a set of regions, and the efficient implementation of the searches specified by such search operators.

Abstract: Responsive to a request from a user device, a content server may perform an electronic discovery function. The request may include information on a quantity of data objects desired from a collection of data objects stored in a repository. Objects stored in the repository may be managed by the content server. The content server may determine a number of batches and process the collection of data objects into batches, each having a batch size. An efficient selection process may be determined and utilized in selecting data objects from each of the batches such that a total number of data objects selected from the collection is not less than the quantity of data objects desired. The content server may make a disk image of the selected data objects and communicate same to the user device over a network.

Abstract: Embodiments as disclosed may provide a search operator that addresses the problems inherent in the searching based on an entire block of text. Specifically, embodiments as disclosed may provide a search operator that may address the problem of complex query construction and efficient and effective implementation for finding objects based on a block of text.

Abstract: Embodiments as disclosed may provide a search operator that addresses the problems inherent in the searching based on an entire block of text. Specifically, embodiments as disclosed may provide a search operator that may address the problem of complex query construction and efficient and effective implementation for finding objects based on a block of text.

Abstract: Responsive to a request from a user device, a content server may perform an electronic discovery function. The request may include information on a quantity of data objects desired from a collection of data objects stored in a repository. Objects stored in the repository may be managed by the content server. The content server may determine a number of batches and process the collection of data objects into batches, each having a batch size. An efficient selection process may be determined and utilized in selecting data objects from each of the batches such that a total number of data objects selected from the collection is not less than the quantity of data objects desired. The content server may make a disk image of the selected data objects and communicate same to the user device over a network.

Abstract: Systems, methods and computer program products for using searchable aggregate indices associated with non-aggregated value storage. In one method, a search system stores metadata values for each of a plurality of objects in a storage unit. The metadata values are stored in corresponding value storage locations that are associated with an identifiable metadata fields. An aggregate index is provided which includes a dictionary of terms that are contained in metadata values associated with a designated set of the metadata fields. The aggregate index is searched for one or more specific search terms, and one or more of the metadata values are retrieved from the value storage locations in response to the search, where the individual metadata fields associated with the retrieved metadata values are identified.

Abstract: Embodiments as disclosed may provide a search operator that addresses the problem of query construction for finding objects that include some number (N) of a set of terms (M). Moreover, embodiments as disclosed herein may efficiently implement the searches specified by such subset operators using a subset process that combines results from a set of term processes where only one term process may be needed for each search term (or search term variant).

Abstract: Embodiments as disclosed may provide a search operator that addresses the problem of query construction for finding objects that include some number (N) of a set of terms (M). Moreover, embodiments as disclosed herein may efficiently implement the searches specified by such subset operators using a subset process that combines results from a set of term processes where only one term process may be needed for each search term (or search term variant).

Abstract: Systems, methods and computer program products for using searchable aggregate indices associated with non-aggregated value storage. In one method, a search system stores metadata values for each of a plurality of objects in a storage unit. The metadata values are stored in corresponding value storage locations that are associated with an identifiable metadata fields. An aggregate index is provided which includes a dictionary of terms that are contained in metadata values associated with a designated set of the metadata fields. The aggregate index is searched for one or more specific search terms, and one or more of the metadata values are retrieved from the value storage locations in response to the search, where the individual metadata fields associated with the retrieved metadata values are identified.

Abstract: A search engine may maintain a list of derived metadata. When an event occurs that requires updating a search index, the search engine can determine which metadata is derived metadata and take appropriate actions with respect to the derived metadata. For example, if a request is received to update the index for a particular object, the search engine may protect the derived metadata from change while updating the other metadata in the index. As another example, if a request is received to update the text content for the object, the search engine may change the text content and the derived metadata. By identifying derived metadata, the search engine can protect the derived metadata from change when a request is received that otherwise causes metadata to change and can change the derived metadata when a request is received that would otherwise not change the metadata portion of the index.