Abstract: A user may submit product title information to a server. The server may generate a phrase based on the product title information. The server may then search a database to find relevancies between the phrase and product categories corresponding to multiple nodes in a product category tree. Based on the relevancies, the server may select a node from the multiple nodes. The server may associate the product title information with the node corresponding to a product category when the node is a leaf node of the product category tree.

Abstract: One or more aspects of the invention include transforming source data in order to display a work product. A plurality of rules relating to content manipulation of the source data include at least one rule relating to content selection and at least one rule relating to content compression. Source data for content manipulation may also be received. A selected portion of the source data and a compressed portion of the source data may be formed. The compressed portion may then be received and presented on a computer a work product.

Abstract: A dynamic content system integrates dynamic and static content through entry of physical table and field structures and creating metadata describing the physical structures. A formula engine with a cascading formula detection engine calculates fields, and a dynamic meta-assembly engine dynamically generates code for the dynamic content. A dynamic meta-reporting engine with a dynamic meta-query engine reports content. An access control engine and workflow engine integrate into the dynamic content system to provide content permissions and routing.

Abstract: A method and apparatus update a composition database for storing information for setting a composition. The method includes extracting and displaying at least one composition stored in the composition database, counting a composition selected by a user from among the at least one composition, and updating the composition database according to the result of the count. According to the method, compositions selected by a user from among compositions displayed on a screen are counted, and the result of the count is reflected on the composition database. Accordingly, compositions are displayed in a user-centered manner and photographing convenience is increased, a digital photographing apparatus automatically learns compositions preferred by a user during photographing so as to automatically display the compositions preferred by the user, and a composition based on a pattern of the user is suggested instead of a composition according to a certain place or scene.

Abstract: Topical affinity badges in information retrieval is described, for example, where graphical elements are presented together with ranked search results from a search engine, to indicate a degree of association between an author of a document and a topic. In various embodiments, a measure of an author's affinity to a topic is predicted using a machine learning system that takes as input author features derived from documents of the author. In various examples topical affinity scores or labels are used to generate badges and/or to index documents at an index of a search engine. For example, badges may be presented with ranked search results, in pop up displays or in other ways. In examples author features relating to any of recency, frequency and presentation of an author's documents are generated, where presentation features may relate to biographical information such as experience, qualifications, and previous documents.

Abstract: Systems, methods and computer-readable media are provided for facilitating patient health care by providing discovery, validation, and quality assurance of nomenclatural linkages between pairs of terms or combinations of terms in databases extant on multiple different health information systems that do not share a set of unified codesets, nomenclatures, or ontologies, or that may in part rely upon unstructured free-text narrative content instead of codes or standardized tags. Embodiments discover semantic structures existing naturally in documents and records, including relationships of synonymy and polysemy between terms arising from disparate processes, and maintained by different information systems. In some embodiments, this process is facilitated by applying Latent Semantic Analysis in concert with decision-tree induction and similarity metrics.

Abstract: A data center for data backup and replication, including a pool of multiple storage units for storing a journal of I/O write commands issued at respective times, wherein the journal spans a history window of a pre-specified time length, and a journal manager for dynamically allocating more storage units for storing the journal as the journal size increases, and for dynamically releasing storage units as the journal size decreases.

Abstract: Systems and methods are provided for classifying a search query. A first group of query classifiers can be used to evaluate a query relative to various subject matter domains. The evaluation results from the first group of domain classifiers can then be used by a second group of meta-classifiers. The meta-classifiers are based on non-linear classification models. The meta-classifiers are associated with meta-classifier categories that may correspond to a domain or that may correspond to a plurality of domains. The assigned meta-classifier category for a query can be used in any convenient manner, such as by triggering additional uses of the search query to match images or other alternative types of documents, or such as by allowing a subject matter domain to be assigned to the query.

Abstract: Techniques are provided to allow users to define a global service that is offered across multiple replicated databases. Database clients connect to and use a global service just as they do with regular services on a single database today. Upon receiving a connection request, a collection of components, referred to collectively as the Global Data Service framework (GDS framework), automatically chooses the best database server instances to which to connect a client. Once those connections have been established, the clients determine which database server instance, of those database server instances to which they are connected, to send requests to based, at least in part, on advisory messages sent to the clients by the GDS framework.

Abstract: A database server receives a request from a client application for performing a data transaction on persistent data storage. The request is sent to a set of replication servers. An acknowledgement for the request is received from each replication server, including a start sequence number and an end sequence number for data that is stored in local cache of the replication server, and a latest committed sequence number for data that was written to the persistent data storage by the replication server. A maximum value of latest committed sequence numbers received from the set of replication servers is determined. For each replication server, it is examined whether there is a gap between the start sequence number for data stored in local cache and the maximum value of the latest committed sequence numbers. Based on the examining, it is determined whether there is an occurrence of loss of data.

Abstract: A log analysis framework is provided that includes a core that is configured to support the execution of one or more extensions and one or more analyzers. The core provides a common infrastructure, base classes, and utilities for supporting the execution of the extensions and the analyzers. Extensions are software components configured to parse a log file and to trigger events based upon the contents of the log file. Analyzers are executable software components configured to consume events generated by the extensions, to analyze the events, and to generate a report based on the events.

Abstract: Methods and systems are disclosed for naming methodologies for a hierarchical system. In one embodiment, a computer implemented method of organizing instance names in a hierarchical system includes receiving a description of a hierarchical system that includes plurality of instances arranged in different branches in a plurality of hierarchical levels in a physical data structure, creating an instance name data structure configured to describe the corresponding instances in the hierarchical system, where the instance name data structure comprises a map of indexes and a corresponding array of offsets configured to access naming information in a subsequent level, and associating names of instances in the hierarchical system to a corresponding set of unique integers which are arranged in a sequential manner.

Abstract: The invention relates to a method for compressing identifiers of program code elements in a portable data carrier, to a method for calling compressed identifiers, to a portable data carrier, and to a semiconductor chip having a memory area for storing the compressed identifiers.

Abstract: Disclosed is an information recommendation method for providing a construction method for a classified word database capable of rapidly accommodating changes in associations between words. The disclosed information recommendation method basically is based on the finding that, by analyzing occurrence frequency information of an arbitrary word in a Web site having an arbitrary classified word in real-time and obtaining the real-time degree of similarity between the classified word and the arbitrary word, it is possible to construct a database that is capable of being sensitive in responding to changes in associations between words.

Abstract: Various systems and methods for enabling use of analytic functions for distributed storage data are described. For example, one method involves generating an index for a data stream that includes a plurality of objects. The index indicates a location of each of the plurality of objects. The method also involves performing a plurality of first functions that generate a plurality of first outputs. Performing these first functions includes accessing objects based on the index and generating an output for each object. Each output also includes the respective object. The method also involves performing one or more second functions, where the second functions use the first outputs.

Abstract: Disclosed herein is a playlist creation apparatus including a person specification section, a liking extraction section, a searching section, and a playlist creation section. The person specification section is adapted to specify a person captured in an image based on image data. Also, the liking extraction section is adapted to extract a liking of the person specified by said person specification section. The searching section is adapted to search, based on the liking extracted by said liking extraction section, for sound data of sound conforming to the liking. In addition, the a playlist creation section is adapted to create a playlist which defines a reproduction order of the sound data searched out by said searching section during displaying of the image based on the image data.

Abstract: One embodiment involves a method and apparatus for mapping lexical keywords into entity description semantics in order to create unambiguous buyer-confirmed descriptions of entities. The method described herein relies on a computer program and some mechanism for computer data storage.

Abstract: A method in a computer system for retrieving data from one of multiple copies of the data is provided, referred to as the data management system. The data management system receives a request identifying a data object to be accessed. Then, the data management system queries a metabase to locate data copies that contain the identified data object, wherein the data copies are created from similar source data, and wherein for each data copy the metabase contains an indication of the availability of the copy relative to other copies. Next, the data management system determines one of the located data copies to use to access the identified data object, wherein the determination is made based on the indicated availability contained in the metabase for each of the located data copies. Then, the data management system accesses the identified data object using the determined one of the located data copies.

Abstract: A traceability link establishing method and system. The method includes retrieving by a computing system, mapping data comprising data associating elements of a source model to elements of a target model. The computing system retrieves the target model and elements of the target model. The computing system processes an element of the elements. The computing system retrieves first traceability links from the element. The computing system processes the traceability links. The computing system retrieves supplier data associated with the traceability links. The supplier data comprises data associated with a first supplier. The computing system verifies if the supplier comprises a valid supplier. The computing system stores results of the verifying process. The results indicate if the supplier comprises a valid supplier.

Abstract: Within a social network, users may submit various types of messages, such as personal messages to other users and status messages to be shared with all associated users. While these messages often relate to highly personal information such as opinions and personal emotions, such messages may also comprise one or more facts about a particular topic, such as a report of a weather condition in a particular location at a particular time. These facts may be identified in various messages, and may be stored in a fact store, such that when a user submits a query specifying a topic may receive from the fact store one or more facts that are responsive to the topic of the query. Additionally, user interfaces may be devised and provided to users submitting such messages, e.g., in order to reduce ambiguity and improve the reliable extraction of facts from messages.