Abstract: A file cloning process allows for quickly cloning files within a filesystem, such as when a user makes a copy of a directory containing files and subdirectories of files. A priority based main queue is filled by a depth first traversal of the directory to be copied with work items corresponding to files and subdirectories. Worker threads refer to the main queue for file cloning, subdirectory copying and directory traversal. Files that have not been modified since a most recent checkpoint are cloned without issuing a checkpoint request. Files that have been modified since the most recent checkpoint are moved to a delay queue. Once a checkpoint of the file system completes, the files in the delay queue are then moved to the main queue to retry cloning thereof. A secondary queue is also provided to prevent worker threads from becoming deadlocked in the main queue.

Abstract: As a user navigates a web site, a system can formulate or allow the user to formulate a query. The system can automatically expand the query to include additional keywords that were not present in the original query. The system can search a database using the expanded query to identify a set of information objects, each having at least one keyword that is present in the expanded query. The database may include a plurality of database tables, each describing a keyword hierarchy. A hierarchy may correspond to a subject matter category addressed by the information object. Another hierarchy may correspond to a project phase addressed by the information object. Still another hierarchy may correspond to the role or intended audience of the information object. The set of information objects thus identified can be displayed on a client computer where the user can see the results.

Abstract: A method and apparatus of a host that accesses files from a portable storage device with a shared filesystem is described. In an exemplary method, the host transmits a request to access the shared filesystem, where the shared filesystem includes a security policy that disallows one application accessing a file in the shared filesystem corresponding to another application. The host further receives an indication of the result of the request.

Abstract: Data matches are calculated between input data and repository data via a digest based matching algorithm where the reference digests corresponding to a repository interval of data identified as similar to an input interval of data are loaded into a sequential array and into a search structure. Each of the matching digests found using the search structure are extended using the sequential array of reference digests. Repository data intervals are determined as similar to an input data interval. Reference digests corresponding to the similar repository data interval are loaded into a sequential representation and into a search structure. Matches of input digests and the reference digests are found using the search structure. Each one of the found matches of the input digests and repository digests are extended using the sequential representation. Data matches are determined between the input data and the repository data using extended matches of digests.

Abstract: For read ahead of digests in similarity based data deduplication in a data deduplication system using a processor device in a computing environment, input data is partitioned into data chunks and digest values are calculated for each of the data chunks. The positions and sizes of similar data intervals in a repository of data are found for each of the data chunks. The positions and the sizes of read ahead intervals are calculated based on the similar data intervals. The read ahead digests of the read ahead intervals are located and loaded into memory in a background read ahead process.

Abstract: Search and browse trails are temporally-ordered sequences of web pages visited by a user during post-search query navigation beginning with a page associated with one of the search results. The trails can provide useful information for a number of search-related purposes. For example, these trails can be used to leverage the post-query behavior of other users to help the current user search more effectively and allow them to make more informed search interaction decisions. The trails can also be used to establish search results and refine search result rankings, select and evaluate deeplinks, and recommend multi-step trails as an alternative to or enhancement for existing search result presentation techniques.

Abstract: The present invention uniquely names storage devices in a global storage environment with hierarchical storage domains. In particular, according to one or more embodiments of the present invention a storage device (e.g., a disk) is connected at a particular location within the global storage environment. That particular location is associated with a path of each of one or more hierarchical storage domains in which the storage device is located. Accordingly, a name is assigned to the storage device that is the path of the hierarchical storage domains in which the storage device is located.

Abstract: Embodiments of the present invention provide a mechanism for converting an existing mirror relationship between an original dataset at a source storage system and a copy of the original dataset at a destination system to a new mirror without discarding the existing copy of the original dataset and without transferring data to create a new dataset to replace the copy of the original dataset at the destination storage system. Rather, a directory structure (including file attributes) of the source storage system is transferred to the destination storage system and a comparison is made to identify file attributes at the destination system that match the transferred file attributes. If a match is found, a mapping between the matched file attributes is created. Subsequent updates to the to destination storage system can be done using a technique other than the one that was used to create a copy of the source dataset.

Abstract: In one embodiment, a first computing device accesses a first search query issued by a user and one or more first documents identified in response to the first search query; determines a first set of tokens for each of the first documents; and transmits the first documents and their associated first sets of tokens to a second computing device associated with the user for display to the user, wherein: each of the first documents is displayed together with its associated first set of tokens; and the tokens of each of the first sets of tokens are visually distinguished based on the concepts they represent and their levels of relevance with respect to the first document associated with the first set of tokens.

Abstract: Methods and systems for bulk uploading of data in an on-demand service environment are described. In one embodiment, such a method includes retrieving a bulk transaction request from a transaction queue within a host organization, where the bulk transaction request specifies a plurality of database transactions to be processed against a multi-tenant database system of the host organization. Such a method further includes determining a current computational load of the multi-tenant database system, processing a subset of the plurality of database transactions specified by the bulk transaction request against the multi-tenant database system when the current computational load is below a threshold, and updating a bulk transaction results log based on the subset of the plurality of database transactions processed. Remaining database transactions specified by the bulk transaction request may then be re-queued for later processing.

Abstract: In one embodiment, a system, is provided to take not just a person's time and location into consideration, but also has knowledge of and takes into account their availability, their preferences, their schedule, their purpose for being at their current location, and/or their next goal or stop. One embodiment is able to take into account a real-time view of supplier inventory and deduce and make available much better-adapted offerings and support for that person's travels and endeavors. In one embodiment, having an understanding of a rate of conversion and its relation to traffic and weather patterns allows service providers to make more accurate predictions about various items, including but not limited to, conversion rates, offer types, offer upgrades, traffic etc. In yet another aspect of the invention, the information collected from many travelers, and also information collected from airlines and weather observers, etc.

Abstract: A natural language question answering method and apparatus belong to the field of information retrieval and processing. The method includes: acquiring a natural language question N; converting the natural language question N into a query semantic graph Qs, each edge in the query semantic graph Qs representing one semantic relation in the natural language question N; searching an RDF graph G for a subgraph matching the query semantic graph Qs; and obtaining an answer to the natural language question N according to the subgraph.

Abstract: An approach is provided for collecting data files from target devices. A data collection manager implemented in a mobile device generates a collector based, at least in part, on collection definition data. The collector is configured to perform a data search on a target device. The data collection manager causes to transmit the collector to a network server for storing the collector in the network server, and causes to transmit a notification to the network server to notify a custodian of the target device that the collector is to be downloaded from the network server to the target device for execution. Executing the collector causes the collector to selectively determine one or more data files that have certain characteristics and that are hosted on the target device, collect the one or more data files from the target device, and store the one or more data files in the network server.

Abstract: This disclosure describes various processes for collecting information about users from sources other than catalog activity data. This information can be used to generate recommendations for users with activity data deficiencies. Some example sources for this supplemental data include collaborative content sites, such as social networking sites. Social networking sites typically allow users to engage in conversations with other users through text, audio, and/or video. Conversation data collected from these sites or from other sources can be analyzed to infer user interests. A recommendation process (or other application) can use the inferred interests to supplement or take the place of catalog activity data.

Abstract: Methods and systems for performing cross store joins in a multi-tenant store are described. In one embodiment, such a method includes retrieving data from a multi-tenant database system having a relational data store and a non-relational data store, receiving a request specifying data to be retrieved from the multi-tenant database system, retrieving, based on the request, one or more locations of the data to be retrieved, generating a database query based on the request, in which the database query specifies a plurality of data elements to be retrieved, the plurality of data elements including one or more data elements residing within the non-relational data store and one or more other data elements residing within the relational data store, and executing the database query against the multi-tenant database system to retrieve the data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for annotating search results. In one aspect, a method includes receiving a search query from a user, the user having a plurality of social affinity groups, each social affinity group identifying a group of users and the user as a proper subset of users of a network. The method includes receiving search results responsive to the search query, each search result referencing a resource. The method includes identifying a search result referencing a resource having an association with one or more of the social affinity groups. The method includes annotating the search result, the annotation describing the association of one of the social affinity groups with the resource, and further identifying the social affinity group. The method includes presenting the annotated search result to the user.

Abstract: A method is described for providing a named entity classification in a computing system having a processor, comprising the steps of the processor reading, from an LOD (Linking Opening Data) set, an LOD node corresponding to a to-be-classified named entity. The processor also determining a type attribute of the LOD node corresponding to the to-be-classified named entity as a tagged type of the to-be-classified named entity and further reading a candidate type. Finally, the processor computing, based on the tagged type, a possibility of the to-be-classified named entity belonging to the candidate type.

Abstract: Embodiments are directed towards a dynamic change evaluation mechanism, whereby items having a detected possible change are scheduled for re-evaluation for possible changes at a higher frequency than items detected to not have previously changed, while those items detected as not to have changed are dynamically scheduled for re-evaluation based on an evaluation backlog that may be in turn based, in part, on a time from when an item is assigned an expiration time to when the item is evaluated. In one embodiment, a possibly changed item may be assigned a new expiration time independent of the evaluation backlog. In another embodiment, if no change is detected, then the item may be assigned a new expiration time as a function of a previous expiration time and on the evaluation backlog.

Abstract: Embodiments of the present invention are directed to a system and method for a central intelligence system for managing, analyzing, and maintaining large scale, connected information systems. The centralized information system may receive data from servers, databases, mainframes, processes, and other technological assets. A user is able to use the centralized information system to run analysis on the data associated with the connected systems, including: historical analysis, real-time analysis, and predictive modeling. The system can monitor the data and automatically correct identified errors without the need of human intervention. The centralized information system can also generate risk management profiles and automatically modify data to conform to the risk management profiles.

Abstract: A data indexing system and method includes acquiring activity data in a context and indexing the activity data in accordance with contextual conditions. The activity data is stored in accordance with indices. An event is correlated with the activity data by using the indices to review the activity data in the context.