Patent application number | Description | Published |
20090313210 | ENCODED MATRIX INDEX - A method, apparatus, and program product are provided for creating an Encoded Matrix Index for a column in a database table. An element of the column for all rows in the database table is compared to a corresponding reference value in a reference data structure, and in response to at least one value for the element of the column not matching the reference value, indicating a variation in a variation data structure and creating a value data structure. Queries executed using the Encoded Matrix Index include terms associated with a sub-column defined in a column of a database table. The variation data structure is accessed to determine whether any variation exists between rows belonging to a sub-column of the database table. If no variation exists, a value is accessed from the reference data structure; otherwise, a value for each row of the sub-column is accessed from a value data structure. | 12-17-2009 |
20100185634 | DATA TRANFORMATIONS FOR A SOURCE APPLICATION AND MULTIPLE TARGET APPLICATIONS SUPPORTING DIFFERENT DATA FORMATS - Embodiments of the invention allow structured data to be transferred between a source application and target applications that process structured data in different formats. For example, structured data may have associated rules which transform the structured data based on some variables. The source application may register variable definitions for each variable in a registry. Each target application may read the registry and register values for the variables. Once values are registered, the source application transfers the structured data to a transformation engine that applies the rules, using the registered values for the variables, to transform the structured data into a format compatible with the target applications. The transformation engine may also determine distinct sets of variable values and transform structured data based on each distinct set. In doing so, the number of transformed data generated is limited to the number of distinct sets, thereby avoiding generating duplicate transformed data. | 07-22-2010 |
20100185635 | DATA TRANFORMATIONS BETWEEN A SOURCE APPLICATION AND SERVICE-ORIENTED TARGET APPLICATIONS SUPPORTING DIFFERENT DATA FORMATS - Embodiments of the invention allow structured data to be transferred between a source application and a service-oriented target application that process data in different formats. The data to be transferred may be divided into different sections, where each section is processed by a respective service of the target application. To transform each section of data into a format compatible with a respective service, the data may have a set of associated rules which transform data based on a set of variables. The source application may provide variable definitions for each of the variables. Each service of the target application may specify values for each of the variables. Once the variables have a specified value, a transformation engine may transform each section of the data and subsequently transfer the transformed sections of the data to respective services of the target application for processing. | 07-22-2010 |
20100185696 | DATA TRANFORMATIONS FOR APPLICATIONS SUPPORTING DIFFERENT DATA FORMATS - Embodiments of the invention allow structured data to be transferred between a source application and a target application that process structured data in different formats. For example, structured data may have a set of associated rules which transform the structured data based on a set of variables. The source application may register variable definitions for each of the variables in a registry. The target application may read the registry and register values for each of the rule variables. Once values are registered for the variables, the source application may transfer the structured data to a transformation engine that applies the rules, using the registered values for the variables, to transform the structured data into a format compatible with the target application. In doing so, the transformation engine can generate a document in any format compatible with the target application and subsequently transfer the generated document to the target application. | 07-22-2010 |
20120179712 | ENCODED MATRIX INDEX - A method, apparatus, and program product are provided for creating an Encoded Matrix Index for a column in a database table. An element of the column for all rows in the database table is compared to a corresponding reference value in a reference data structure, and in response to at least one value for the element of the column not matching the reference value, indicating a variation in a variation data structure and creating a value data structure. Queries executed using the Encoded Matrix Index include terms associated with a sub-column defined in a column of a database table. The variation data structure is accessed to determine whether any variation exists between rows belonging to a sub-column of the database table. If no variation exists, a value is accessed from the reference data structure; otherwise, a value for each row of the sub-column is accessed from a value data structure. | 07-12-2012 |
20120221346 | Administering Medical Digital Images In A Distributed Medical Digital Image Computing Environment - Administering medical digital images including receiving a request for an image processing transaction to process the medical digital image; creating a medical image business object representing the business transaction; storing the medical image business object in the medical image metadata database; storing the medical image in the medical image repository; selecting, in dependence upon workflow selection rules and the attributes of the medical image business object, one or more clinical workflows to process the medical image; processing the medical image of the request with the clinical workflows, thereby creating a resultant business object and resultant medical image; routing the resultant medical image to a destination. | 08-30-2012 |
20130097456 | Managing Failover Operations On A Cluster Of Computers - Managing failover operations on a cluster of computers, including: identifying, by a failover hold module, a failure to access data storage in the cluster of computers; preventing the execution of all read operations directed to the data storage that were received after the failure to access data storage was identified; executing all write operations directed to the data storage that were received after the failure to access data storage was identified, including writing data to a cache; identifying that a failover to alternative data storage is complete; executing the held read operations, including reading data from the alternative data storage; and copying, from cache to the alternative data storage, the data written to the cache as part of the write operations. | 04-18-2013 |
20130097457 | MANAGING FAILOVER OPERATIONS ON A CLUSTER OF COMPUTERS - Managing failover operations on a cluster of computers, including: identifying, by a failover hold module, a failure to access data storage in the cluster of computers; preventing the execution of all read operations directed to the data storage that were received after the failure to access data storage was identified; executing all write operations directed to the data storage that were received after the failure to access data storage was identified, including writing data to a cache; identifying that a failover to alternative data storage is complete; executing the held read operations, including reading data from the alternative data storage; and copying, from cache to the alternative data storage, the data written to the cache as part of the write operations. | 04-18-2013 |
20130173249 | Natural Language Processing ('NLP') - Natural language processing (‘NLP’) including: receiving text specifying predetermined evidence; receiving a text passage to process, the text passage including conditions and logical operators, the text passage comprising criteria for evidence; decomposing the text passage into coarse grained text fragments, including grouping text segments in dependence upon the logical operators; analyzing each coarse grained text fragment to identify conditions; evaluating each identified condition in accordance with the predetermined evidence and predefined condition evaluation rules; evaluating each coarse grained text fragment in dependence upon the condition evaluations and the logical operators; and calculating, in dependence upon the evaluations of each text fragment, a truth value indicating a degree to which the evidence meets the criteria of the text passage. | 07-04-2013 |
20130173256 | NATURAL LANGUAGE PROCESSING ('NLP') - Natural language processing (‘NLP’) including: receiving text specifying predetermined evidence; receiving a text passage to process, the text passage including conditions and logical operators, the text passage comprising criteria for evidence; decomposing the text passage into coarse grained text fragments, including grouping text segments in dependence upon the logical operators; analyzing each coarse grained text fragment to identify conditions; evaluating each identified condition in accordance with the predetermined evidence and predefined condition evaluation rules; evaluating each coarse grained text fragment in dependence upon the condition evaluations and the logical operators; and calculating, in dependence upon the evaluations of each text fragment, a truth value indicating a degree to which the evidence meets the criteria of the text passage. | 07-04-2013 |
20140172755 | MULTI-DIMENSIONAL FEATURE MERGING FOR SUPPORTING EVIDENCE IN A QUESTION AND ANSWERING SYSTEM - Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence. | 06-19-2014 |
20140172879 | MULTI-DIMENSIONAL FEATURE MERGING FOR SUPPORTING EVIDENCE IN A QUESTION AND ANSWERING SYSTEM - Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence. | 06-19-2014 |