Abstract: Systems, methods, and computer program products are provided for data processing. In one exemplary embodiment, a method is provided that includes extracting data from a Semantic Web and processing the data with an enterprise resource planning system.

Abstract: A computer program product and method for interrogating data attributes in a product development environment is provided. In one embodiment, a computer program product includes a product development application that includes an interrogate data selection device. A product development datastore stores attribute data associated with at least one of a part item and an annotation item created by the product development application. A data interrogator module is initiated by the interrogate data selection device and retrieves the attribute data associated with at the least one of the part item and the annotation item from the product development datastore. A graphical user interface manager module displays the attribute data in a user customizable presentation.

Abstract: The present invention relates to systems and methods for the reordering of an ordered result set using a weight associated with a query and values associated with items in a result set. The method of the present invention comprises receiving a query and generating a result set comprising content items with associated values. The result set is given an initial ordering based upon the context of the query received. A weight is retrieved corresponding to the received query. Weighted values are assigned to one or more items in the result set by traversing the result set and calculating a weighted value using the weight associated with the received query and the values associated with the items in the result set. The result set is reordered according to the weighted values in descending order. The reordered result set is delivered to the user or client device initiating the query.

Abstract: Upon receiving a notification from a device that a content configuration changed, a management apparatus that manages one or more devices searches among contents possessed by the device in question for a content for which first identification information recorded in a second area and in a first area of attendant information of the content differ, and determines whether second identification information recorded in a second area of the attendant information of the retrieved content is unique among all contents in the system. When the management apparatus determines that second identification information of the attendant information is not unique, it updates the first identification information recorded in the second area of the attendant information with first identification information recorded in the first area of the attendant information and updates the second identification information with identification information that is unique in the system, to thereby update the attendant information of the content.

Abstract: Methods and systems are provided for collecting desired information from information that relates to a specific situation within the context of a specific work environment, wherein the information comprises extraneous information and the desired information. A template that relates to the specific situation can be opened and interpreted at a computing device to generate queries presented to a user for extracting the desired information from the information. A user can input responses to the queries, and a completed template can be generated based on the responses. The completed template includes the desired information. The completed template can be submitted to an information management system.

Abstract: A method of selecting and presenting content based on context-sensitive learned user preferences is provided. The method includes providing a set of content items having descriptive terms. The method includes receiving user input for identifying items and, in response thereto, presenting a subset of items. The method includes receiving user selections of said items and analyzing the descriptive terms of those items to learn the user's content preferences. The method includes determining the context in which the user performed the selections and associating those contexts with the user content preferences learned from the corresponding user selections. The method includes, in response to subsequent user input, determining a context of said subsequent input and selecting and ordering a collection of items based on comparing those items' descriptive terms with the user's learned content preferences associated with the determined context in which the user entered the subsequent input.

Abstract: Methods, systems, and computer program products for optimizing resource allocation in a host-based replication environment are disclosed. According to one aspect, the subject matter described herein includes a method for optimizing resource allocation in a host-based replication environment. The method includes assigning a weight to each of a multiple of file system entities to be replicated. The method also includes creating a list of available transfer agents for replicating file system entities, the list having first and second ends and the list including at least one entry representing each transfer agent.

Abstract: A method, device, and system are provided for re-initializing a backing store in a data storage system. More specifically, when all snapshots associated with a specified backing store are either being deleted or are marked for deletion the backing store is re-initialized rather than deleting each snapshot independently. The re-initialization of the backing store provides for a quicker way to delete all snapshots than could previously be achieved when each snapshot was deleted independently.

Abstract: Content that is significant to a user may be determined. An indication that a user finds content within a document significant may be received. In response to the received indication, the document may be analyzed to identify a set of topics associated with the content of the document. From the set of topics, a subset of topics responsible for the user finding the document significant may be identified. A user profile associated with the user may be updated based on the subset of topics.

Abstract: A method and system are described for generating consolidation groups. An example method includes obtaining a plurality of data type indicators of data types, wherein each data type indicator is associated with a hierarchical subtype of the data type; generating a first subtype indicator of a first hierarchical subtype associated with a first data type indicator in a first hierarchical subtype relationship; generating a first parent list including one or more representations of one or more of the data types associated with the first hierarchical subtype; generating a second subtype indicator of a second hierarchical subtype associated with a second data type indicator in a second hierarchical subtype relationship; generating a second parent list including a representation of one of the plurality of data types associated with the second hierarchical subtype; and generating a first consolidation group based on combining the first subtype indicator with the second subtype indicator.

Abstract: A log collection utility (LCU) operable in a storage area network (SAN) to identify the various types of log files generated in the SAN, compute the location of each of the log files, and collect the log files for consolidation and analysis in a common repository. A designator file enumerates log files for collection. The LCU generates a discovery script for each host, and the hosts generate an identity of each of the log files via execution of the discovery script. The LCU generates a collection script operable to gather the each of the log files. The LCU thus gathers a plurality of log files generated by dissimilar applications and nodes in the SAN via a declarative mechanism that specifies the types of log files via a log file designator, and generates executable scripts that collects the log files in a manner that is agnostic to operating systems, platforms, and directory structures.

Abstract: Two features allow for increased performance in running database consistency checks. First, a database consistency check runs directly on a database, as opposed to running on a saved database snapshot. This saves memory since there is no need to save a database snapshot. To handle any pages modified since a start of the database consistency check, a supplemental check runs on modified pages. Any facts generated by either check run through an early aggregation that attempts to aggregate facts during the database consistency check.

Abstract: By varying the levels of detail associated with items in an ordered collection of information, items may be organized in a way to emphasize details about item of current interest. Displaying varying levels of detail about items in an ordered collection of information involves determining a focus, and based on their relative location to the focus adding additional detail to other items displayed from the collection of information. For instance, a user browsing a web search results list typically only sees a few essential details such as the name, link, and brief abstract about each item in the list. Providing the user with varying levels of detail about each item in the list helps them decide to where they want to navigate.

Abstract: A design in a markup language for rendering a report may be generated such that the design and conditions associated therewith are written in a single markup language. Based on this arrangement, both the design and the conditions may be parsed according to a pre-defined grammar to facilitate rapid debugging.

Abstract: A system provides a form manager that defines an electronic form comprising a field to populate with a data object. The form manager further defines a schema associated to the form. The schema describes the data object. The form manager further defines a variation rule for the electronic form. The variation rule describes a variation that may occur in the data object. The variation rule represents variation processing to be dynamically applied to the electronic form in response to detecting the variation.

Abstract: A search and find user interface is provided that is integrated with a data indexing engine to allow efficient and high-speed data search and retrieval across data storage folders associated with a given software module or associated with a number of disparate software modules. An expanded form of the search and find user interface is provided for advanced searching. Where searching is required beyond a present search scope, an automatic “upscoping” mechanism is provided for expanding a search to data storage folders outside a current data storage folder on which an initial search is executed.

Abstract: Provided are techniques for storing local versions of a data set. A first number that indicates how many local versions of the data set are to be stored in local storage given an amount of available local storage is received. It is determined whether a second number that indicates a total number of local versions of the data set that the local storage is capable of storing exceeds the first number. In response to determining that the second number exceeds the first number, the amount of local storage that is capable of storing the first number of local versions of the data set is used.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.