Abstract: Data searching over a network is facilitated. A search request is received from a user device via the network. The search request includes information related to the user device. The search request is processed by identifying a context chain related to the user device based on information passed with the search request. The context chain is an array of contexts. Contexts are added to and subtracted from the context chain dependent upon communications received from the user device. The search request is responded to by providing at least one search result to the user device. The search result is obtained from at least one context in the plurality of contexts.

Abstract: In one example, a method for backing up data is performed in part by a manager server that receives a request for a deviceless backup session. The manager server authenticates the request and authorizes media database and index database operations. Next, the requested deviceless backup session is created and a backup session ID is transmitted that corresponds to the created deviceless backup session. The manager server then spawns an agent to handle communications with other devices. An update is then received concerning a backup performed with respect to a target device, and a confirmation sent that that the backup has been completed. Catalogue information concerning the completed backup is then received and stored, and the deviceless backup session and agent terminated.

Abstract: An approach is provided for identifying entity relationships based on word classifications extracted from business documents stored in a plurality of corpora. In the approach, performed by an information handling system, a plurality of cluster classifications are identified for the business documents so that entity information from the business documents can be classified or assigned to the cluster classifications, such as by performing natural language processing (NLP) analysis of the business documents. The approach applies semantic analysis to identify and score entity relationships between the entity information classified in the cluster classifications, and based on the scored entity relationships, cluster relationships between the cluster classifications are identified.

Abstract: A technique includes, in response to an access to a database involving access to a table and specifying a natural key, using the database to translate the natural key to a surrogate key based at least in part on a mapping.

Abstract: An approach is provided for identifying entity relationships based on word classifications extracted from business documents stored in a plurality of corpora. In the approach, performed by an information handling system, a plurality of cluster classifications are identified for the business documents so that entity information from the business documents can be classified or assigned to the cluster classifications, such as by performing natural language processing (NLP) analysis of the business documents. The approach applies semantic analysis to identify and score entity relationships between the entity information classified in the cluster classifications, and based on the scored entity relationships, cluster relationships between the cluster classifications are identified.

Abstract: A method comprises receiving a call to a method in response to detection of a game event in a user device, responsive to said call, generating a data file, said data file comprising identity information associated with said game event and a value of at least one parameter; and storing said data file in a data store.

Abstract: A system and method is provided for avoiding duplication of effort in drafting documents and, in particular, to a system and method for avoiding duplication of effort in preparing patent related submissions. The method is implemented on a computer infrastructure comprises storing disclosure information related to non-public proprietary innovation and receiving terms associated with an innovation. The method further comprises matching the terms with the stored disclosure information and providing an alert to a user that certain of the terms overlap with the stored disclosure information.

Abstract: The present disclosure concerns a method of identifying a biometric record of an individual in a database (108), the database comprising at least first and second sets of records, each set comprising at least one record, the method comprising: receiving by a processing device (102) at least first and second input biometric samples of said individual; performing on the records of said first set a first matching process comprising a first filtering operation followed by a second filtering operation, and performing on the records of said second set a second matching process comprising said second filtering operation followed by said first filtering operation, wherein said first filtering operation comprises comparing said first input biometric sample to a first reference biometric sample of each record, and said second filtering operation comprises comparing said second input biometric sample to a second reference biometric sample of each record; and identifying a biometric record of said individual based on res

Abstract: In one embodiment, the present invention includes a computer-implemented method comprising storing data in an application using an application custom data type and application custom data structure. The data is stored in a database using the application custom data type and the application custom data structure. In one embodiment, a request is sent to access the data from the application to the database. The data is retrieved from the database in response to the request in the application custom data type and the application custom data structure. In one embodiment, the data is sent from the database to a shared memory in the application custom data type and the application custom data structure and the data is retrieved by the application from the shared memory in the application custom data type and the application custom data structure.

Abstract: A computer-executable method, system, and computer program product for managing meta-data in a distributed storage system, wherein the distributed storage system includes one or more burst buffers enabled to operate with a distributed key-value store, the co computer-executable method, system, and computer program product comprising receiving a request for meta-data associated with a block of data stored in a first burst buffer of the one or more burst buffers in the distributed storage system, wherein the meta data is associated with a key-value, determining which of the one or more burst buffers stores the requested metadata, and upon determination that a first burst buffer of the one or more burst buffers stores the requested metadata, locating the key-value in a portion of the distributed key-value store accessible from the first burst buffer.

Abstract: An apparatus for placement of an object includes a placement site search unit. The placement site search unit searches a placement site of the object based on a first vector element that has organized first identifiers for first placement sites existing in a system and on a second vector element that has organized second identifiers for second placement sites not existing in the system (FIG.1).

Abstract: A computer device for generating a classifier for performing a query to a given knowledge base is provided. The given knowledge base includes predicates, subjects and objects related to each other. The computer device includes a selection entity for selecting one of the predicates, and a triple generation entity for generating, based on the given knowledge base, triples. Each of the triples includes the one selected predicate, and a subject and an object related to the one selected predicate. The computer device also includes a candidate generation entity for generating a list of properties. Each property of the list of properties is correlated to the subject and the object of one of the triples by performing a context-based query within the given knowledge base. The computer device includes a classifier generation entity for generating a classifier having the list of properties related to the selected predicate.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for conditionally allowing an application of an entity access to data of another entity in an on-demand database service. These mechanisms and methods for conditionally allowing an application of an entity access to data of another entity in an on-demand database service can enable embodiments to limit such access to the data, as desired. Furthermore, embodiments of such mechanisms and methods may provide additional security when sharing data among different subscribers to an on-demand database service.

Abstract: Methods, systems, and computer program products for generating a search of attachments are described. A search request based on a business template is obtained, the business template comprising a node containing an identity of an entity to which the attachment is attached and an attachment sub-node. A search request based on an attachment template is obtained, the attachment template comprising a root node referring to the attachment sub-node of the business template and a node containing an identity of the attachment. A search is performed based on the business template and the attachment template.

Abstract: Techniques for ascribing social attributes to content items and for selecting content to display in a content feed are described. According to various embodiments, accessing one or more content items accessible via a network are accessed, each of the content items having received one or more social activity signals. Thereafter, members of an online social network service that submitted the social activity signals may be identified. Member profile data identifying member profile attributes of the members cemented the social activity signals may then be accessed. Thereafter, social attribute information may be generated and associated with each of the content items, the social attribute information identifying the member profile attributes of the members that submitted the social activity signals associated with each of the content items.

Abstract: Systems, methods, and computer-readable storage media for analyzing the recorded interactions of users within a shared dataspace, where the shared dataspace is provided by an a synced online content management system. As each user adds and deletes files in the shared dataspace, the content management system can record each interaction. The content management system can then analyze the recorded interactions, creating collapsed summaries of the interactions, and generate notifications that can be presented to users. Various thresholds can be used to determine when the recorded interactions are condensed, and when notifications associated with those condensed interactions are presented to users.

Abstract: Architecture for restoring nodes. After restoring a node, fix-up occurs to make the node appears as a different node than before the restore operation. The node appears as a new node, which new node knows the data up to a certain point from when the new node had the prior identity. This allows for new changes generated by the new node to flow to the other nodes in the topology, as well as have the changes that the prior identity sent to other nodes flow back to the new node. In other words, the architecture maintains information to create the new node in the topology while maintaining prior data knowledge. Additionally, item level metadata of associated data items is updated to correlate with the updated data items so that changes can be correctly enumerated and applied. This metadata update occurs across scopes of which the data items are included.

Abstract: A plurality of queries of an in-memory column-oriented database are obtained. Each of the queries has at least one column predicate. For each of the queries, it is determined which of a plurality of columns in the in-memory column-oriented database need to be scanned. The plurality of queries are grouped into a plurality of scan groups, based at least in part on the determining step. The column predicates are evaluated for those of the queries in a given one of the scan groups in accordance with a scheduling scheme. The grouping step and the scheduling scheme take into account real time scan information.

Abstract: A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety of sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be submitted at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.

Abstract: Provided are a method for attaching a geographical tag to digital data and a method for providing geographical name information for geotagging. When a digital device periodically provides its position information, the server creates a position database. When the digital device requests geographical name information associated with the digital data, the server estimates the position of the digital device at a time when the digital data was created and transmits geographical name information corresponding to the estimated position to the digital device. The digital device attaches the geographical name information to the digital data.