International Business Machines Corporation

David Matthew Loewenstern

Larisa Shwartz

Melissa J Buco

Florian Pinel

Christopher Ward

Naga A Ayachitula

Maira Athanazio De Cerqueira Gatti

Ricardo Guimaraes Herrmann

Abdolreza Salahshour

Kevin Minerley

Lalitha P Kamesam

Ma Sheng

Yixin Diao

Bradford Austin Fisher

Krishna Sastry Garimella

Larisa Schwartz

Maheswaran Surenda

An aspect of this invention is a method that includes receiving input data from an application. The input data includes information descriptive of at least one field. The method further includes processing the input data to form an array composed of legal data for the at least one field. The array is formed by merging a result of processing syntactic constraints and a result of processing semantic constraints. The method further includes outputting the array to the application. A system for performing the method is also described, as is a computer program product that can be used to execute the method.

Method and system for retrieving legal data for user interface form generation by merging syntactic and semantic contraints

A method of ranking workers for an incoming task includes recording a list of completed tasks in a computer data structure, extracting first attributes from the list for the tasks that were completed during a pre-determined period, generating a first feature vector for each task and worker from the first extracted attributes, training a Support Vector Machine (SVM) based on the feature vector to output a weight vector, extracting second attributes from an incoming task, generating a second feature vector for each worker based on the second extracted attributes, and ranking the workers using the second feature vectors and the weight vector. The first attributes may be updated during a subsequent period to re-train the SVM on updated first feature vectors to generate an updated weight vector. The workers may be re-ranked based on the second feature vectors and the updated weight vector. Accordingly, the feature vectors are dynamic.

Task assignment using ranking support vector machines

A method for storing data caveats for databases is described. The method includes storing at least one record in at least one content table in a database. The method includes storing at least one data caveat having a relationship to the content table in at least one record in a caveat table. A data caveat has a relationship to the content table when the data caveat applies to: a record in the content table or the content table in entirety. The method also includes storing, in a memory device, an indication of the relationship. Articles of manufacture are also described.

Data caveats for database tables

A system for verifying compliance, comprises an input device including a radio-frequency identification (RFID) reader module, wherein the RFID reader module is capable of determining that an RFID tag corresponding to a medication dose in a product packaging is not detectable, and recording a time of the determination that the RFID tag is not detectable, a network, and a data management service module which is capable of receiving from the input device via the network information corresponding to the RFID tag and the time when the RFID tag was determined not detectable.

System and method for verifying patient compliance

A method for auditing and verifying configuration items (CIs) in an information technology (IT) configuration management database (CMDB) includes identifying which configuration item (CI) types should be part of an audit, defining link rules to link an authorized CI type stored in a CMDB to an actual CI type that is part of an IT infrastructure, retrieving all authorized CI instances of the identified CI types from the CMDB, retrieving all actual CI instances of the identified CI types from a discovery upload of a current IT environment, comparing the actual CI instances to the authorized CI instances, and taking remedial action when variances are discovered.

System and method for automated configuration control, audit verification and process analytics

A method includes receiving a request from a requestor to validate a data assemblage expressed in Javascript Object Notation (JSON); translating the data assemblage expressed in JSON into an extensible markup language (XML) instance; validating the XML instance using syntactic schema and semantic schema specifications; and sending a response to the requestor. For a case where the data assemblage contains invalid data in at least one field the response includes an output array containing information for specifying valid data for the at least one field and a message explaining a reason why the field is invalid. A system for performing the method is also described, as is a computer program product that can be used to execute the method.

Method and system providing document semantic validation and reporting of schema violations

A system, method and apparatus for performing information transformations on an information stream composed of configuration items (CIs) for improving data quality and extending the capabilities of a configuration management database (CMDB). In one embodiment the data transformations ensure that a CMDB can be used to manage environments that use Network Address Translation by the modification of the signatures of analyzed CIs so that the resulting set of CIs is unique. The modification is applied to augment the signature with a domain specific prefix so that, when loaded into the enterprise wide CMDB, a CI is uniquely identified.

System and method for transforming configuration data items in a configuration management database

A computer processing device receives computer readable data to derive computer executable rules for mining and constructing situation categories. The received data is transformed into a predetermined standard format if the received data is not already in the predetermined standard format. The predetermined standard formatted data is parsed, and an outer, iterative loop is performed until at least one predetermined stopping criterion is met. An inner iterative loop is performed within the outer iterative loop until all desired subsets of data are processed. During the inner iterative loop, selected subsets of data are labeled with labels associated with corresponding previously labeled subsets of data. New computer executable rules are generated for mining and constructing situation categories from the labeled subsets of data. Keyword list classifiers are transformed using the stored labeled subsets of data.

Rules generation for IT resource event situation classification

An off-line knowledge acquisition process takes IT resource messages and automatically generates a set of rules used to provide situation categories for the resource messages/events. The off-line knowledge acquisition process generates an event-to-situation mapping file for efficiently mapping situation to events in runtime. Rules are fed back into a knowledge repository and process for reuse. The off-line knowledge acquisition process provides methods to reiterate the process of mining (autonomically and/or by human interaction) to improve the rules and confidence level assigning the situation categories. A runtime categorizer component uses the event-to-situation mapping file to add situation categories to the IT resource events. The runtime categorizer uses a plurality of annotator components each capable of adding a situation annotation to incoming messages based on rules generated by the off-line knowledge acquisition process. An assessment component chooses the best situation category from those annotated by the annotator components.

IT event data classifier configured to label messages if message identifiers map directly to classification categories or parse for feature extraction if message identifiers do not map directly to classification categories

A method for facilitating compliance testing in an environment is provided. The method includes defining each component as a set of attribute value pairs represented as a configuration item (CI) and defining relationships among the CIs. Configuration Standards for the CIs are defined to include scope identifying CIs to which the Configuration Standards apply and restrictions defining requirements for compliance. Compliance testing is performed for components against a selected Configuration Standards by determining, depending on the scope and the restrictions of each of the selected Configuration Standards, which of the components within the scope of the selected Configuration Standards fails to meet the restrictions of respective ones of the selected Configuration Standards; and by outputting results as a list, which includes each of the components that failed to meet respective ones of the selected Configuration Standards.

Defining and implementing configuration standards for facilitating compliance testing in an environment

A method for configuring multiple lifecycles, and associating each lifecycle with one or more subcategories of items includes receiving a request for a state change for an item in a current state; determining if the item's current state exists in the located lifecycle; wherein if the current state does not exist in the located lifecycle, the current state is updated with a series of update rules; determining if the current state has flags; wherein the flags are checked for one or more protection rules; generating a list of target states; receiving a user selected target state from the generated list; checking the selected target state for one or more associated protection rules; recording a state change for the selected target state in response to the satisfaction of the one or more associated protection rules, and if no protection rules are found; and propagating the state change.

Method for management of dynamically alterable lifecycles in structured classification domains

Classifying a message includes receiving a message to be classified, wherein the message includes a message identifier. If the message identifier uniquely maps to a corresponding classification category, the message is labeled with the identified classification category. If the message identifier does not map directly to a corresponding classification category, the message to be classified is parsed and a plurality of features from the parsed message are identified, wherein at least one classification rule is compared to the plurality of features. Each classification rule that matches to the plurality of features is rated and a classification category is identified from the rating, wherein the message is labeled with the identified classification category.

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New York, NY, United States of America

David Matthew Loewenstern