Abstract: Embodiments of the present invention provide a computer system, comprising at least two logical partitions, each partition having allocated computing resources, wherein the computing resources allocated to a first partition include memory storing a file system accessible by processes executing in the first partition; and a partition resource allocator, wherein the partition resource allocator is arranged to migrate the memory storing the file system from the first partition to a second partition, such that the file system is accessible by processes executing in the second partition.

Abstract: Embodiments relate to systems and methods for generating an interpolation data template to normalize analytic runs. A database can store sets of operational data, such as financial, medical, climate or other information. For given data, a portion of the input data can be known or predetermined, while for a second portion can be unknown and subject to interpolation. The interpolation engine can generate a conformal interpolation function and interpolated input sets that map to a set of target output data. In aspects, an interpolation history database can stores results of a variety of interpolation studies or results, from which a set of interpolation templates can be derived. The templates can reflect trends or patterns discovered or displayed in the historical interpolation results, for instance, to produce expected values for different variables based on averages, thresholds, or other criteria applied to the historical results.

Abstract: Data access operations can be generated based on a data model, allowing an efficient implementation of accessing a data store storing persistent data. A description of the data model is received, the description including transactions on data objects and at least one interrelationship within the transactions. The transactions are converted into data access operations in accordance with a protocol defined by a data store, the conversion taking into account the at least one interrelationship.

Abstract: An information system has a database having distinct object structures that store information about corresponding operating components of the system. An association structure describes many-to-many relationships among the components. Targeted requests for information about first objects are satisfied by obtaining information from a first object structure as well as information about associated objects from the second object structure. Bulk requests for information about a large number of objects are handled differently, using a lookup structure that associates the first objects with limited information of the associated second objects, such as externally visible names which would be meaningful to a requestor. Thus response can efficiently provide full information about all first objects as well as limited but useful information about all associated second objects, avoiding traversals of the association structure and corresponding interrogations of the second object structure.

Abstract: A method and system for generating a view is provided. A first set of declarations in a metadata data model retrieved from a view definition are stored in storage of a computer system. The first set of declarations are static. A second set of declarations in the metadata data model that are associated with the first set of declarations are stored in the storage. At least one request for a set of requested data is resolved to a subset of the first set of declarations and the second set of declarations using semantic descriptions provided for the first and second sets of declarations and the requested data. A view rendered from the subset of the first set of declarations and the second set of declarations is updated whenever the second set of declarations is updated.

Abstract: A method, device, and computer readable medium for striping rows of data across logical units of storage with an affinity for columns is provided. Alternately, a method, device, and computer readable medium for striping columns of data across logical units of storage with an affinity for rows is provided. When data of a logical slice is requested, a mapping may provide information for determining which logical unit is likely to store the logical slice. In one embodiment, data is retrieved from logical units that are predicted to store the logical slice. In another embodiment, data is retrieved from several logical units, and the data not mapped to the logical unit is removed from the retrieved data.

Abstract: Techniques are provided for small file aggregation in a parallel computing system. An exemplary method for storing a plurality of files generated by a plurality of processes in a parallel computing system comprises aggregating the plurality of files into a single aggregated file; and generating metadata for the single aggregated file. The metadata comprises an offset and a length of each of the plurality of files in the single aggregated file. The metadata can be used to unpack one or more of the files from the single aggregated file.

Abstract: Encoding and/or decoding of messages. On the encoding end, a composite encoder encodes message from an internal format that is used by internal system components into an external format. However, the composite encoder may encode the outgoing messages into different external formats on a per-message basis. For incoming message, a composite decoder decodes incoming messages from any one of a plurality of external formats into the internal format also on a per-message basis. A per-message report mechanism permits internal system components and the encoding/decoding components to communicate information regarding the encoding or decoding on a per message basis. XML messages can be converted automatically into Binary messages.

Abstract: A method and system for retrieving and normalizing product information are described. The system retrieves product information from sources that are accessed over a network. Next, the system creates markup language based on the product information. The markup language includes a first attribute-value pair that includes a first attribute and a first value. Next, the system normalizes the markup language by translating the first attribute to a second attribute responsive to an identification of the first attribute in a list that includes a plurality of attributes that are associated with a first product and the second attribute. The second attribute is a canonical representation of the plurality of attributes respectively.

Abstract: Techniques are described for creating a first data abstraction model for a first database. Embodiments analyze the first database to determine a first set of structural characteristics, and analyze a second database to determine a second set of structural characteristics. The analyzed second database is associated with a second data abstraction model. The first set of structural characteristics is compared with the second set of structural characteristics to identify one or more similarities between the two sets of structural characteristics. Embodiments then create the first data abstraction model for the first database, based on the identified similarities and the second data abstraction model.

Abstract: A method, social services data management system, and computer program product for managing data about social services. In response to receiving the data about the social services provided to a group of clients at a data collection application running on a computer system, the data collection application running on the computer system places the data into a first database in a first format using a content model identifying entities for the social services and relationships between the entities. The computer system changes the data in the first database from the first format to a second format used by a second database. The computer system moves the data in the second format to the second database. A report application running on the computer system generates a number of reports using the data in the second format in the second database.

Abstract: Embodiments of the present disclosure relate to the field of database technology. More specifically, embodiments of the present disclosure relate to a method and system for importing E-R model data utilizing dependency information in an E-R model data schema. This disclosure provides a method for importing E-R model data, comprising: receiving an imported E-R model data file and a data schema of the E-R model; determining a dependency type of each entity in the data file based on the data schema, wherein the dependency type corresponds to at least one of no correlation, weak correlation, or strong correlation; and correspondingly importing each entity in the E-R model data file based on the determined dependency type.

Abstract: A data model may be designed based views of a pre-existing data model. Metadata associated with the pre-existing data model may be presented to the user to support the user's design effort. The metadata may inform and otherwise guide the user's design choices to reduce the likelihood of inconsistencies between the new data model and the pre-existing data model. The metadata may also be used to identify and warn the user of potential inconsistencies between the new data model and the pre-existing data model.

Abstract: Some embodiments relate to performing a search for content via the Internet, wherein user input specifying a search query is supplied to a mobile communications device, such as, for example, a smartphone. The mobile communications device separately issues the search query to a plurality of search engines and can receive the results from each search engine and display the results to the user. Thus, the user does not have to separately issue the query to each of the plurality of search engines.

Abstract: A content management system (CMS) includes a value-add application with a first set of XML content services, one or more dedicated XML processing servers with a second and other sets of XML content services, and a core CMS with a third set of XML content services. The content management system may be designed to provide XML content services at any of these three tiers of processing. A first threshold is defined that allows the value-add application to determine when to offload XML content services to a dedicated XML processing server. A second threshold is defined that allows the core CMS to determine when to offload XML content services to a dedicated XML processing server. Callback services are included that allow each tier of XML content services to send or receive additional information to complete the XML processing. The result is a content management system that is very powerful and flexible.

Abstract: Computer programs embodied in computer-readable media that can use canonical schemas to persist data from non-temporal tables, effective-time tables, assertion-time tables, and bitemporal tables, and that can enforce temporal integrity constraints on those tables, are provided. In one embodiment, the canonical schemas are used by database tables. In another embodiment, they are used by the physical files which persist data from those tables. Temporal metadata is used to express temporal requirements. Thus, uni-temporal, bitemporal, and temporally-enabled non-temporal tables can be generated without altering existing data models or designing temporal features into new data models. Support is also provided for managing temporal data that exists in future assertion time, and for using episodes to enforce temporal referential integrity.

Abstract: A plurality of partitions can be defined in a database for a multi-tenant computing system provided on one or more processors such that each partition of the plurality of partitions is associated with only one business tenant of a set of business tenants supported by the multi-tenant system. The database can stored shared content that is shared among and accessible to all tenants of the multi-tenant computing system while tenant content for each business tenant can be stored in the database in one partition of the plurality of partitions. The one partition can be assigned to an associated business tenant. At least a portion of the tenant content can be unique to and associated with the associated business tenant.

Abstract: A filesystem can be converted to a different version by creating a new data structure according to a new format of the different version and transforming the data from the filesystem to the new data structure. Transforming the data can include changing the format of the data in the filesystem to be compatible with the new data structure format. The data may be incorporated into the new data structure by copying the data, or creating indirect reference mechanisms to point to the original data.

Abstract: The invention improves document generation systems in which data is collected to enable automated, customised document generation. initially, a questionnaire which defines a dataset is completed. The system then determines which variables are relevant, and then determines whether all relevant variables are in the dataset. Finally, the system generates a fully customised document if the dataset is complete.

Abstract: An abstraction layer is provided between databases of back office systems and a markup language based interface, which may allow Web access to data in the databases of the back office systems. Schemas, metadata and validation files are generated from an intermediary representation of the database, which may be flat, non-hierarchical files. Markup language based templates may be generated based on the schemas, metadata and validation files. Markup documents or “markup” may be generated using the templates and the schemas, metadata and validation files. Workflow may be defined and imposed on the generation of the markup.

Abstract: Various embodiments for operating a transformation system, capable of transforming a logical data object (LO) to a transformed logical data object (TLO), are provided. In one such embodiment, an open LO request to a certain LO and addressed by the at least one client to the at least one storage device, is intercepted. An identifier (ID) in a header of a TLO corresponding to the requested LO and stored in the at least one storage device, is obtained. The obtained ID is used to characterize the TLO and the LO. A determination is made whether the transformation system handles at least one open LO characterized by an ID with a same value as the obtained ID. The requested LO is opened if at least one open LO is not found. An instance corresponding to the intercepted open LO request is generated. The instance is associated to the obtained ID.

Abstract: A computer-implemented system for facilitating cross-subsystem queries of a plurality of building automation subsystems includes a first database storing a logical model for a building automation system. The system further includes a second database storing information for the plurality of building automation subsystems. The second database relates information for the plurality of building automation subsystems based on the logical model of the first database. The system also includes a query engine configured to decompose a cross-subsystem query received from an application into a plurality of subsystem queries using the information of the second database.

Abstract: A method for accessing information in a replicated database includes receiving a request for information in a database. The request is associated with a table in the database. The table includes a plurality of identifiers each identifying a portion of the information in the table. The method also includes executing a logical structure associated with the table to produce a logical view of the table. The logical view contains at least a portion of the information from the table without containing the identifiers. The method further includes identifying the requested information in the logical view, and communicating the identified requested information in the logical view.

Abstract: Some embodiments relate to a method of performing a search for content on the Internet, in which a user may speak a search query and speech recognition may be performed on the spoken query to generate a text search query to be provided to a plurality of search engines. This enables a user to speak the search query rather than having to type it, and also allows the user to provide the search query only once, rather than having to provide it separately to multiple different search engines.

Abstract: Various embodiments for optimizing data migration and recall in a computing storage environment by a processor device are provided. Data stored in the computing storage environment is analyzed over a predetermined period of time to identify a usage pattern of a portion of the data. The portion of the data having the usage pattern is recalled in advance of a usage time, the usage time predicted by the usage pattern for the portion of the data to be accessed.

Abstract: Machine learning techniques may be used to train computing devices to understand a variety of documents (e.g., text files, web pages, articles, spreadsheets, etc.). Machine learning techniques may be used to address the issue that computing devices may lack the human intellect used to understand such documents, such as their semantic meaning. Accordingly, a topic model may be trained by sequentially processing documents and/or their features (e.g., document author, geographical location of author, creation date, social network information of author, and/or document metadata). Additionally, as provided herein, the topic model may be used to predict probabilities that words, features, documents, and/or document corpora, for example, are indicative of particular topics.

Abstract: When collecting and integrating data present in separately managed information sources, data are collected from the information sources through a physical model of the information sources. Integration is executed by a process of converting a data configuration (mapping) into a logical model predefined for each utilization-side application and a process of converting and conforming values (cleansing); and the result thereof is provided as a view (logical model) for each application to the utilization-side application.

Abstract: Various embodiments of systems and methods for executing a customized business process in a business process framework are described herein. A user selection of a solution type corresponding to a business process is received from a user interface. In response to the user selection, a query is executed to retrieve application types and corresponding sub-application types from a business logic stored in a database. Configurable attributes are generated based upon the application types and the corresponding sub-application types. Based upon the application types, the sub-application types and the configurable attributes, the business process is customized to create a customized business process. Based upon a configuration information, a user input to the customized business process is captured from the user interface. The user input is validated by comparing the user input with the business logic. The customized business process that is validated is further executed in the business process framework.

Abstract: Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for caching predictive models are described. Records are obtained, each record including a time of a previously submitted predictive request and an identifier of a trained predictive model. A trained scheduling model is generated using the records as training data. A set of identifiers of trained predictive models are determined from a plurality of trained predictive models that are stored in a secondary memory of a computing system. The target time is inputted to the trained scheduling model. In response, a second predictive output is received that comprises the set of identifiers. A set of trained predictive models are obtained that correspond to the set of identifiers from the secondary memory. The set of trained predictive models are stored in a primary memory of the computing system.

Abstract: A method, device, and computer readable medium for striping rows of data across logical units of storage with an affinity for columns is provided. Alternately, a method, device, and computer readable medium for striping columns of data across logical units of storage with an affinity for rows is provided. When data of a logical slice is requested, a mapping may provide information for determining which logical unit is likely to store the logical slice. In one embodiment, data is retrieved from logical units that are predicted to store the logical slice. In another embodiment, data is retrieved from several logical units, and the data not mapped to the logical unit is removed from the retrieved data.

Abstract: A method of synchronizing artifacts of a first domain with artifacts of a second domain is provided. The method includes: loading a first set of transformed artifacts and a first artifact map from a first domain into a second domain; generating an association model based on an evaluation of the first artifact map and a second artifact map; comparing a first transformed artifact of the first set of transformed artifacts with a second artifact of a second set of artifacts corresponding to the second artifact map based on the association model; determining differences based on the comparing; and selectively updating the second artifact map based on the differences.

Abstract: Disclosed are methods in which ontologies are automatically (i.e., with little or no human interaction) constructed from data. The constructed ontology may be provided for use by an application or device. An ontology may be constructed as follows. Firstly, a lexical graph is constructed. Secondly, a concept-detection process is performed on the lexical graph to detect concepts (prominent terms) in the lexical graph. Thirdly, a clustering method is performed on the lexical graph to form groups of concepts. Fourthly, relationships between the concepts are determined based on the interconnections of the concepts in the groups. Lastly, the concepts and detected relationships therebetween are structured using a formal ontology specification.

Abstract: As method is disclosed for retrieving data from a relational database management system (RDBMS). An object-oriented environment submits a query to an object relational layer to access data contained in the RDBMS. The object query can result in at least one logical object description that is defined using one or more predetermined expressions. The logical object descriptions are translated to corresponding relational descriptions, and a relational query is subsequently generated. The relational query is applied to the RDBMS in order to retrieve data satisfying the object query. Various error checks can be performed to detect correctness of the query. Additionally, the relational queries can be optimized to improve processing by the RDBMS.

Abstract: Embodiments relate to systems and methods for extracting a model object from a multi-dimensional source database. A modeling client can host modeling logic and an application programming interface (API) to create, access, manipulate, and import/export modeling objects used in modeling applications, such as engineering, medical, financial, and other modeling platforms. In aspects, the source data accepted into the modeling client can include consumer or business-level applications, whose database or other content can be extracted and encapsulated in object-oriented format, such as extensible markup language (XML) format. The resulting model object can be pivoted along selected dimensions, or otherwise manipulated. The modeling client can exchange one or more modeling object directly with external platforms, such as mainframe modeling platforms, via the application programming interface (API) on a programmatic basis.

Abstract: According to some embodiments, a system, method, means and computer program code is provided including identifying a provider interface, the provider interface configured to map data items from a provider data model to a system data model, identifying a set of capabilities of the provider data model, transmitting data from the information provider to the business information system through the provider interface, and communicating the set of capabilities of the provider data model to the business information system.

Abstract: Provided is a system and method for a storage system response. The system includes a first storage system adapted to be linked in communication with at least one client and with a second storage system, the second storage system retaining a plurality of digital assets. An asset map is adapted to track where in the first storage system or the second storage system each of the plurality of digital assets is retained. A migrator is also provided and structured and arranged to migrate each of the plurality of digital assets from the second storage system to the first storage system, the migrator further adapted to update the asset map regarding a status of migration for each of the plurality of digital assets. A server structured and arranged to fulfill digital asset requests received by the first storage system from the at least one client, the server structured and arranged to consult the asset map to determine where the requested digital assets resides. An associated method is also provided.

Abstract: Method, system, and programs for an information model to be used in representing data. The information model includes a plurality of features, one or more information allocation models, and a configuration that associates an information allocation model with each of the features, where an information allocation model is to be used to allocate a portion of information contained in the data to each of the features and the total amount of information allocated to the features equals a total amount of information contained in the data.

Abstract: A design-time status schema model describes the progress of a data object through a computing process. The status schema model includes status variables, processing actions and constraints for performing actions. The status schema model also may describe permitted changes to a status variable in response to performing an action. At runtime, the status schema model is used to control processing performed by, or on, an instance of a data object corresponding to the status schema model.

Abstract: A method and implementing system are provided in which data, such as video and/or audio data, are presented and recorded on media for subsequent reference, management and/or processing. Original files are divided into segment files which are smaller than the original file. Each segment file may then be processed and/or viewed individually and, after viewing, the segment file is marked as having been viewed, and the marked segment files are immediately available for use in recording new files before all of the segmented files of the original file have been viewed. In one example, a user is enabled to select the size of the segmented files for any of the recorded, and/or scheduled to be recorded, data files.

Abstract: A content management system (CMS) includes a value-add application with a first set of XML content services, one or more dedicated XML processing servers with a second and other sets of XML content services, and a core CMS with a third set of XML content services. The content management system may be designed to provide XML content services at any of these three tiers of processing. A first threshold is defined that allows the value-add application to determine when to offload XML content services to a dedicated XML processing server. A second threshold is defined that allows the core CMS to determine when to offload XML content services to a dedicated XML processing server. Callback services are included that allow each tier of XML content services to send or receive additional information to complete the XML processing. The result is a content management system that is very powerful and flexible.

Abstract: Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for receiving training data for predictive modeling and executing multiple processes simultaneously to generate multiple trained predictive models using the training data and training functions. After executing the processes for an initial runtime, a convergence status of each process is determined that indicates a likelihood that the training function being executed will converge on the training data. Based on the determination, training functions are identified that are not likely to converge and processes that are executing these training functions are terminated. After an ultimate runtime has expired, processes that are still executing training functions that have not yet converged are terminated. An effectiveness score is generated for each of the trained predictive models that were successfully generated and a trained predictive model is selected based on the effectiveness scores.

Abstract: In general, the invention relates to a method for migrating a source file system residing on a source server to a destination server. The method includes sending a first snapshot of the source file system from the source server to the destination server and creating, using the first snapshot, a migrated file system on the destination server. The method further includes sequentially sending, to the destination server, a set of snapshot deltas including modifications to the source file system, updating the migrated file system using the set of snapshot deltas, determining that a freeze threshold is exceeded, freezing the source file system, sending a final snapshot delta from the source server to the destination server, updating the migrated file system using the final snapshot delta, creating a file system husk referencing the migrated file system, and thawing the source file system and the migrated file system.

Abstract: Various embodiments for operating a transformation system, capable of transforming a logical data object (LO) to a transformed logical data object (TLO), are provided. In one such embodiment, an open LO request to a certain LO and addressed by the at least one client to the at least one storage device, is intercepted. An identifier (ID) in a header of a TLO corresponding to the requested LO and stored in the at least one storage device, is obtained. The obtained ID is used to characterize the TLO and the LO. A determination is made whether the transformation system handles at least one open LO characterized by an ID with a same value as the obtained ID. The requested LO is opened if at least one open LO is not found. An instance corresponding to the intercepted open LO request is generated. The instance is associated to the obtained ID.

Abstract: The disclosure relates to a system and a method for hardware encoding and decoding according to the Limpel Ziv STAC (LZS) and Deflate protocols based upon a configuration bit.

Abstract: A method may include receiving unstructured content data related to a business entity by a networked service application; selecting, via a user interface of the networked service application and based at least in part on the received unstructured content data, a business template, the business template being a representation of a networked business object data structure having associations with structured data; and creating, by the networked service application, an instance of the networked business object by associating at least some of the received content data with the business template and the networked business object associated with the business template.

Abstract: A computer-implemented method includes obtaining a database table, the table including multiple rows and multiple columns, in which one or more rows are missing at least one column value, executing a script, using a script engine, in response to obtaining the table, in which executing the script causes one or more values from the rows to be provided as input data to a first predictive model, and processing, using the first predictive model, the input data to obtain output data, the output data including a predicted value for at least one of the missing column values, and populating one or more of the missing column values with the output data to provide a revised database table.

Abstract: A logical expression of a policy is generated from another logical expression of a policy, for example, via a set of transformations, each of which comprises an input sub-expression and an output sub-expression. Any sub-expression of the input expression which matches an input sub-expression of a transformation rule is replaced with the output sub-expression of that transformation rule to form a sub-expression of the output expression.

Abstract: A storage virtualization apparatus comprises a judgment portion. The judgment portion judges whether encryption functions are present in an external storage subsystem having an external logical volume identified based on a write request received from a higher-level device. When the result of the judgment is negative, the storage virtualization apparatus uses its own encryption functions to encrypt the data of the write request before transmission to the external storage subsystem, but when the result of the judgment is positive, the storage virtualization apparatus transmits the data of the write request as-is to the external storage subsystem, without using its own encryption functions to perform encryption.

Abstract: Embodiments relate to systems and methods for object-based modeling using hierarchical model objects. A modeling client can host modeling logic and an application programming interface (API) to create, access, manipulate, and import/export modeling objects used in modeling applications, such as engineering, medical, financial, and other modeling platforms. In aspects, the source data accepted into the modeling client can include consumer or business-level applications, whose spreadsheet, database or other content can be extracted and encapsulated in extensible markup language (XML) or other object-oriented format. Various model objects can be extracted from source data, and aggregated into a hierarchical model object encapsulating and preserving the underlying object layers. In aspects, one or more of the model object layers can functionally combine at least two other layers, to relate levels of data in hierarchical fashion.

Abstract: A harvesting method and system is provided. The method includes extracting from a plurality of documents, content. The content is published in external glossaries. The content is arranged in a business content hierarchy and the business content hierarchy is published in a specified format. The business content hierarchy is enabled with respect to a plurality of projects. The content and business content hierarchy are updated and the updated content is arranged in the updated business content hierarchy.