Abstract: Embodiments generally relate to selecting a service instance in a service infrastructure. In some embodiments, a method includes sending, by a service registry, a status request to each service instance of a plurality of service instances, where the service registry maintains a data store of performance information associated each of the service instances. The method further includes receiving, by the service registry, a plurality of status responses, where each status response is received from a respective service instance of the plurality service instances, and where each status response includes one or more performance characteristics. The method further includes ranking, by the service registry, the service instances based at least in part on the one or more performance characteristics. The method further includes performing, by the service registry, service lookups based on the ranking.

Abstract: Embodiments generally relate to finding a service in a service infrastructure. In some embodiments, a method includes receiving a service lookup request, where the service lookup request includes an application program interface (API) specification for a service to be invoked, where the API specification defines at least one target input parameter and at least one target output parameter. The method further includes searching for at least one service that has an API specification that corresponds to the API specification included in the service lookup request. The method further includes determining a sequence of services if no service is found that has an API specification that corresponds to the API specification included in the service lookup request, where services of the sequence of services include API specifications that, in combination, correspond to the API specification included in the service lookup request; and invoking the services of the sequence of services.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for managing web searching. The method includes one or more processors tracking user activity on the at least one website. The method further includes one or more processors analyzing the tracked user activity on the at least one website. The method further includes one or more processors generating a user profile based on the tracked user activity on the at least one website. The method further includes one or more processors mapping the generated user profile and corresponding user identity information between one or more of: a search service provider, an analytic service provider, and a provider of the at least one website. The method further includes one or more processors storing the generated user profile.

Abstract: The contents of a computer file system are displayed on a graphical user interface. File system metadata descriptive of the computer file system and file metadata descriptive of each of a plurality of files are gathered. A file selection is received indicating a file accessed by the user. A user context is determined by the file metadata. The files are clustered using the file system metadata, a set of file metadata, and the user context. The set of file clusters are mapped onto a visualization model and graphically displayed on the graphical user interface using the visualization model.

Abstract: The contents of a computer file system are displayed on a graphical user interface. File system metadata descriptive of the computer file system and file metadata descriptive of each of a plurality of files are gathered. A file selection is received indicating a file accessed by the user. A user context is determined by the file metadata. The files are clustered using the file system metadata, a set of file metadata, and the user context. The set of file clusters are mapped onto a visualization model and graphically displayed on the graphical user interface using the visualization model.

Abstract: The contents of a computer file system are displayed on a graphical user interface. File system metadata descriptive of the computer file system and file metadata descriptive of each of a plurality of files are gathered. A file selection is received indicating a file accessed by the user. A user context is determined by the file metadata. The files are clustered using the file system metadata, a set of file metadata, and the user context. The set of file clusters are mapped onto a visualization model and graphically displayed on the graphical user interface using the visualization model.

Abstract: The contents of a computer file system are displayed on a graphical user interface. File system metadata descriptive of the computer file system and file metadata descriptive of each of a plurality of files are gathered. A file selection is received indicating a file accessed by the user. A user context is determined by the file metadata. The files are clustered using the file system metadata, a set of file metadata, and the user context. The set of file clusters are mapped onto a visualization model and graphically displayed on the graphical user interface using the visualization model.

Abstract: A method, system and computer readable medium for retrieving relevant data in large collections of documents is disclosed. The method, system and computer readable medium of the present invention includes retrieving a document to be indexed, generating a document extract from the document, wherein the document extract comprises a portion of the document, and decomposing the document extract into tokens. The tokens are then stored in a search index, wherein a search engine accesses the search index to retrieve information satifying a search query.