Abstract: A method, system, and computer program product to efficiently maintain a database is disclosed. The method, system, and computer program product may include structuring the database to have a table, an index associated with the table, and a log associated with the index. The method, system, and computer program product may include receiving a maintenance request related to the index. The method, system, and computer program product may include accounting for the maintenance request when the index is being searched. The method, system, and computer program product may include adding the maintenance request to the log when the index is not being searched.

Abstract: Systems, methods, and computer program products for enabling assessment of the quality of a search index. In one embodiment, objects are processed to produce corresponding text that is stored and indexed. The objects are also processed to identify and store corresponding metadata values for indexing. Error conditions that are detected during the processing of objects to generate corresponding text are tracked and compared to determine the most severe of the error conditions. An indication of the most severe error condition is stored in a first consolidated error field. Errors that are encountered in the identification and storage of metadata values are counted and this count is stored in a second consolidated error field. Both of the consolidated error fields are indexed in the same manner as the text and metadata for the objects, so that the stored error information can be used in queries of the search index.

Abstract: A system and method for large-scale data schema analysis and quality assurance is disclosed. A data schema may be received and compiled into an internal representation for analysis. The schema's information may also be exposed via an application programming interface. Using the schema's application programming interface along with a provided requirement, the schema may be analyzed and/or corrected for quality, consistency and interoperability.

Abstract: Systems and methods of providing content for display on a computing device via a computer network using a location feature index are provided. A data processing system can receive a request for content from the computing device, and can determine a geographic location of the computing device associated with the request for content. The data processing system can identify a keyword indicating a non-geographic semantic feature of the determined geographic location. The identification can be based on the determined geographic location and from a location feature index that maps geographic areas to keywords that indicate non-geographic semantic features of the geographic areas. The data processing system can select, based on the keyword, a candidate content item for display on the computing device.

Abstract: A method includes generating data from workforce applications, at least one of the workforce applications including at least one of forecasting, scheduling, recording, and monitoring functionalities; and storing the data from the at least one of the workforce applications in a storage area network (SAN), the SAN being operable to connect the at least one of the workforce applications to computer storage devices. This may also include keeping recorded contacts in a long term storage device such as the SAN or an operational data store (ODS) and transparently searching in both the ODS and the SAN simultaneously. With a concept of moving data on to a file system SAN which is cheaper as compared to a database technology such as ODS, the method facilitates predictable performance from the ODS and easier manageability with constant cost from SAN.

Abstract: The present disclosure provides various systems and methods for indexing digital (electronic) documents. The systems and methods may utilize various software, hardware, and firmware modules to identify notations, such as sheet names, anchors, and anchor references on construction documents. The identified notations are indexed and used to create hyperlinked pages that are easily navigable. In some embodiments, the hyperlinked pages may include previous- and next-sheet hyperlinks that allow for direct navigation within a set of pages, according to an order provided in an index.

Abstract: A system method and program product for data replication comprising based on metadata, creating a mapping of pending IO to a logical storage medium and changing a mapping of the logical storage medium to tiered storage mediums to optimize the pending IO to the logical storage medium.

Abstract: A user-extensible common schema is described in the context of a shared database. In one example, an apparatus includes a shared database organized around a common schema. First and second applications provides access to the shared database using the common schema, the first and second applications having first and second schema extensions having first and second sets of additional objects, defined by the first and second applications, respectively. The first and second applications present views of and operations on the shared database that are extended by the respective schema extension.

Abstract: A method, a system and a computer program product for influencing ranking of URLs in a search engine. In an example embodiment, a computer determines that a posting of a URL has occurred in a social networking environment, the computer tracks accesses of the URL subsequent to the posting of the URL. The computer further determines whether a number of accesses of the URL has increased subsequent to the posting of the URL and, responsive to determining that the number of accesses of the URL has increased subsequent to the posting of the URL, the computer determines whether the number of accesses of the URL has increased by at least a predefined threshold. Further, responsive to determining that the number of accesses of the URL has increased by at least the predefined threshold, the computer increases the ranking of the URL in a search engine.

Abstract: A method of identifying a user as an authorized user from free test text typed by that user into an input device. From the received test text, features associated with the typed text are extracted, such as timing data associated with alphanumeric letter pairs. These extracted features are compared to previously stored series of authorized user profiles, where the authorized user profiles were generated from a trial typing sample of alphanumeric data from each associated authorized user. The comparison identifies one of the authorized users with the user, and a score is derived to measure the strength of the comparison. If the score exceeds a threshold level, the user is identified as that authorized user.

Abstract: Mechanisms are provided for efficiently determining commonality in a deduplicated data set in a scalable manner regardless of the number of deduplicated files or the number of stored segments. Information is generated and maintained during deduplication to allow scalable and efficient determination of data segments shared in a particular file, other files sharing data segments included in a particular file, the number of files sharing a data segment, etc. Data need not be expanded or uncompressed. Deduplication processing can be validated and verified during commonality detection.

Abstract: Redirection (“biasing”) architecture that automates the selection of topical terms in a search query, and provides a user-selectable (e.g., clickable) interface which enables the user to quickly and easily re-formulate and execute a new query using terms that return more focused search results. The redirection of search by biasing the terms (strings) can also be performed by indicating that certain results are not interesting to the user. For example, one way using an existing search engine, is to apply a search operator (e.g., a hyphen) to indicate that certain terms must not occur in the search results (negation). Accordingly, by automatically selecting topical terms to negate, constructing a query, and embedding the negation in a link with each results page result, considerable manual and cognitive effort is saved.

Abstract: Disclosed is a method and system for discovering documents using a computer and providing a small set of the most relevant documents to the attention of a human observer. Using the method, the computer obtains a seed document from the user and generates a seed document vector using term frequency-inverse corpus frequency weighting. A keyword index for a plurality of source documents can be compared with the weighted terms of the seed document vector. The comparison is then filtered to reduce the number of documents, which define an initial subset of the source documents. Initial subset vectors are generated and compared to the seed document vector to obtain a similarity value for each comparison. Based on the similarity value, the method then recommends one or more of the source documents.

Abstract: A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.

Abstract: Systems and methods are disclosed herein for providing search results, particularly product records from a product database. Past queries are analyzed and grouped into clusters according to similarities, with each query including a highly relevant head query and a plurality of tail queries. Similarity of queries may be determined based on user response similarity to query results, co-occurrence, and textual similarity. One or more categories are identified for the clusters, such as based on click-through rates for search results of the head queries of the clusters. Upon receiving a query, a cluster for the query is identified, such as according to similarity to one or more queries of the cluster. The categories associated with the cluster are then used to one or both of augment the query and rank search results for the query.

Abstract: A method, system, and computer program product to efficiently search a database is disclosed. The method, system, and computer program product may include structuring the database to have a table, an index associated with the table, and a log associated with the index, the log adapted to include an entry. The method, system, and computer program product may include receiving a search request related to the index. The method, system, and computer program product may include searching the index when the search request is not associated with the entry. The method, system, and computer program product may include accounting for the entry and searching the index when the search request is associated with the entry.

Abstract: A method, system, and computer program product to efficiently search a database is disclosed. The method, system, and computer program product may include structuring the database to have a table, an index associated with the table, and a log associated with the index, the log adapted to include an entry. The method, system, and computer program product may include receiving a search request related to the index. The method, system, and computer program product may include searching the index when the search request is not associated with the entry. The method, system, and computer program product may include accounting for the entry and searching the index when the search request is associated with the entry.

Abstract: Systems and methods are provided that allow client programs using IMS database access interfaces to access IMS database data available from IMS systems on remote logical partitions and remote zSeries mainframes rather than from a local IMS system. For example, a method may include intercepting an IMS request having a documented IMS request format from a client program executing on a source mainframe system. The method may also include selecting a destination mainframe system and sending a buffer including information from the request from the source mainframe system to the destination mainframe system and establishing, at the destination mainframe system, an IMS DRA connection with the IMS system from the request. The method may further include receiving a response from the IMS system, sending a buffer having information from the response from the destination mainframe system to the source mainframe system, and providing the information to the client program.

Abstract: Systems and methods are provided that allow client programs using APIs for accessing local DB2 databases to access DB2 systems on remote logical partitions and remote zSeries mainframes rather than from a local DB2 system. For example, a method may include intercepting a DB2 request using a documented API for accessing local DB2 databases from a client program executing on a source mainframe system. The method may also include selecting a destination mainframe system and sending a buffer including information from the request from the source mainframe system to the destination mainframe system and establishing, at the destination mainframe system, a DB2 connection with the DB2 system from the request. The method may further include receiving a response from the DB2 system, sending a buffer having information from the response from the destination mainframe system to the source mainframe system, and providing the information to the client program.

Abstract: A system and method for management of network monitoring information includes a data collector for collecting real-time network information from network switching units, an aggregator for periodically aggregating the collected real-time network information and generating corresponding history information, a preprocessor for periodically determining results for first queries based on the collected real-time network information and the history information, a data storage system, and a data retriever for retrieving information from the data storage system. The data storage system stores the collected real-time network information, the aggregated history information, and the preprocessed results of the first queries. The data storage system also periodically purges the stored real-time information based on a first time-to-live value and the stored history information based on a second time-to-live value.