Digital image data including discrete photographic images of a variety of different subjects, times, and so forth, are collected and analyzed to identify specific features in the photographs. In an embodiment of the invention, distinctive markers are distributed to aid in the identification of particular subject matter. Facial recognition may also be employed. The digital image data is maintained in a database and quarried in response to search requests. The search requests include criteria specifying any feature category or other identifying information, such as date, time, and location that each photograph was taken, associated with each photograph. Candidate images are provided for review by requesters, who may select desired images for purchase or downloading.

In one example, a method may include outputting, by a computing device and for display, a graphical keyboard comprising a plurality of keys, and receiving an indication of a gesture. The method may include determining an alignment score that is based at least in part on a word prefix and an alignment point traversed by the gesture. The method may include determining at least one alternative character that is based at least in part on a misspelling that includes at least a portion of the word prefix. The method may include determining an alternative alignment score based at least in part on the alternative character; and outputting, by the computing device and for display, based at least in part on the alternative alignment score, a candidate word based at least in part on the alternative character.

A network storage system comprises data storage, one or more file system APIs, and a metadata handler. The data storage can comprise file data and associated metadata. The file system APIs can be configured to read and write file data and metadata to and from the data storage. The metadata handler can have a library of functions for handling the metadata. The library can include a metadata blob creation function and a metadata blob extraction function. The metadata blob creation function cooperates with the file system APIs to read source metadata associated with specified file data and creates and populates a metadata blob from which a substantial copy of the source metadata can be generated. The metadata blob extraction function receives at least a metadata blob, extracts information from the metadata blob, and cooperates with the file system APIs to generate destination metadata, a substantial copy of the source metadata.

A computing system for encouraging the performance of a task comprises association data, a proxy module, a display module, and a reward module. The association data associates tags with stimuli related to performing tasks. The proxy module is configured to receive encoded data, to identify tags in the encoded data that have associated stimuli in the association data, and to generate modified encoded data that includes data representative of at least one of the stimuli. The display module is configured to receive the modified encoded data, to display information based at least in part on the modified encoded data, and to provide at least one mechanism for a user to perform a task related to at least one of the stimuli. The reward module is configured to reward a user for performing tasks related to the stimuli.

A computing system for encouraging the performance of a task comprises association data, a proxy module, a display module, and a reward module. The association data associates tags with stimuli related to performing tasks. The proxy module is configured to receive encoded data, to identify tags in the encoded data that have associated stimuli in the association data, and to generate modified encoded data that includes data representative of at least one of the stimuli. The display module is configured to receive the modified encoded data, to display information based at least in part on the modified encoded data, and to provide at least one mechanism for a user to perform a task related to at least one of the stimuli. The reward module is configured to reward a user for performing tasks related to the stimuli.

The present invention includes a method of providing users with formatted access to XML and similar documents received from trading partners using a general purpose viewer or browser. Particular aspects of the present invention are described in the claims, specification and drawings.

Systems and methods for providing user logon and state-less authentication are described in a distributed processing environment. Upon an attempted access by a user to an online resource, transaction, or record, a logon component asks the user to supply a logon ID and a password. The logon component verifies the provided information, and upon successful identification, a security context is constructed from information relevant to the user. The security context is sent to the user and is presented to the system each time the user attempts to invoke a new resource, such as a program object, transaction, record, or certified printer avoiding the need for repeated logon processing.

Digital image data including discrete photographic images of a variety of different subjects, times, and so forth, are collected and analyzed to identify specific features in the photographs. In an embodiment of the invention, distinctive markers are distributed to aid in the identification of particular subject matter. Facial recognition may also be employed. The digital image data is maintained in a database and quarried in response to search requests. The search requests include criteria specifying any feature category or other identifying information, such as date, time, and location that each photograph was taken, associated with each photograph. Candidate images are provided for review by requesters, who may select desired images for purchase or downloading.

The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.

A search engine may perform a search for a user search query over a number of possible search categories. For example, the search query may be performed for general web documents, images, and news documents. The search engine ranks categories based on the search query and/or the documents returned for each category and presents the search results to the user by category. Higher ranking categories may be presented more prominently than lower ranking categories.