Abstract: An information processing apparatus to select a token from a document to describe a field of interest includes an obtaining unit, a determining unit, a clustering unit, and a selecting unit. The obtaining unit obtains a list of tokens output from extractors that received the document as an input. Each output token has an extractor score assigned to by an extractor. The determining unit determines, as a word frequency value, a frequency of each word in the list of tokens, determines a token score for each token in the list of tokens, and determines a distance between each token in the list of tokens. The clustering unit clusters each token in the list of tokens into a plurality of groups. The selecting unit selects a token with a group of the plurality of groups to describe the field of interest in the document.

Abstract: A virtual file system is provided. Results are received of a first search for files related to current context of a user of the virtual file system, the files being stored on physical media and/or other virtual file systems. The results of the first search are organized into contextually significant virtual folders of the virtual file system. A first entry is recorded into a history of path mappings which map location of the files in the virtual folders to locations of the files on the physical media. Results are received of a second search for files related to an updated context of the user of the virtual file system. The organization of contextually significant virtual folders is updated based on the results of the second search, and a second entry is recorded into the history of path mappings based on the updated organization.

Abstract: Systems, devices, and methods for contextual management extract context information and content information from a collection of stored digital content items; generate an index of the extracted context information and content information; store the indexed context information and content information; receive a query from a computing device, wherein the query is associated with a user; determine a context of the user; determine a context of a user activity; determine contents of the query; generate a recommendation in response to the query based on the context of the user, the context of the user activity, and the contents of the query; and return the recommendation to the computing device.

Abstract: An information processing apparatus to select a token from a document to describe a field of interest includes an obtaining unit, a determining unit, a clustering unit, and a selecting unit. The obtaining unit obtains a list of tokens output from extractors that received the document as an input. Each output token has an extractor score assigned to by an extractor. The determining unit determines, as a word frequency value, a frequency of each word in the list of tokens, determines a token score for each token in the list of tokens, and determines a distance between each token in the list of tokens. The clustering unit clusters each token in the list of tokens into a plurality of groups. The selecting unit selects a token with a group of the plurality of groups to describe the field of interest in the document.

Abstract: A virtual file system is provided. Results are received of a first search for files related to current context of a user of the virtual file system, the files being stored on physical media and/or other virtual file systems. The results of the first search are organized into contextually significant virtual folders of the virtual file system. A first entry is recorded into a history of path mappings which map location of the files in the virtual folders to locations of the files on the physical media. Results are received of a second search for files related to an updated context of the user of the virtual file system. The organization of contextually significant virtual folders is updated based on the results of the second search, and a second entry is recorded into the history of path mappings based on the updated organization.

Abstract: Systems, devices, and methods for contextual management extract context information and content information from a collection of stored digital content items; generate an index of the extracted context information and content information; store the indexed context information and content information; receive a query from a computing device, wherein the query is associated with a user; determine a context of the user; determine a context of a user activity; determine contents of the query; generate a recommendation in response to the query based on the context of the user, the context of the user activity, and the contents of the query; and return the recommendation to the computing device.