International Business Machines Corporation

Jacques Labrie

William Scott Spangler

Mary Ann Roth

Yannick Saillet

Charles Daniel Wolfson

Linda Ha Kato

Meenakshi Nagarajan

Holger Kache

Shannon Matthew Farrington

Alan P Plante

Geetika Agrawal

Veera Maddipati

Paulo R R Pereira

Ying Chen

Jeffrey Thomas Kreulen

Eileen Tien Lin

Cartic Ramakrishnan

Ioana Roxana Stanoi

Kevin Michael McBride

Tom William Jacopi

Mi Wan Shum

Ignacio Gabriel Terrizzano

Olivier Lichtarge

David T Meeks

Pathirage D Perera

Katherine Shen

Alix M Lacoste

Angela D Wilkins

Cheung-Yuk Wu

Lawrence A Donehower

Sam J Regenbogen

Hrishikesh Sathe

Curtis R Pickering

Benjamin J Bachman

Thanh Vu Nguyen

Linnette M Bakow

Benjamin Honzal

Jing Huang Chu

Maria E Terron-Diaz

Lloyd Harper

Anbu Karani Adikesavan

Martin Klumpp

Stefan Korn

Pei-chen Liu

Diane Friedman

A method, computer system, and a computer program product for generating a candidate set of entities from a training set of entities is provided. The present invention may include determining an ontology class for an input entity in the training set of entities. The present invention may include adding the input entity to an ontology list. The present invention may then include assigning an entity score to the input entity. The present invention may also include normalizing the ontology list of entity scores. The present invention may lastly include selecting the candidate set of entities with the highest entity score.

Generating a candidate set of entities from a training set

The present invention relates to a method and system for associating gene expression data with a disease name. A first data set associated with a plurality of genetic probes for a plurality of biological samples may be received. The first data set may be sorted based on a normalized gene expression values for the plurality of genetic probes. A largest value gap of the normalized gene expression values may be identified. A set of expressed genes within the first data set may be identified. An indexable document may be generated for a biological sample of the plurality of biological samples comprising data associated with the set of expressed genes. A second data set associated with an expressed gene of the set of expressed genes may be searched. A disease name may be associated with an expressed gene based on a threshold correlation between the disease name and the expressed gene.

Associating gene expression data with a disease name

A method, system, and computer program product for event detection using roles and relationships of entities are provided in the illustrative embodiments. A training event and a set of entities participating in the training event are identified in a training data. For a first entity in the set of entities, a first role occupied by the entity in the event is determined. A behavior attribute is assigned to the first role. A relationship of the first role with a second role corresponding to a second entity in the set of entities is determined. An event rule is constructed to detect an event corresponding to the training event in new data and comprising a plurality of roles, behavior attributes, and the relationship. The plurality of roles includes the first role and the second role, and the plurality of behavior attributes includes the behavior attribute assigned to the first role.

Event detection using roles and relationships of entities

A system and method for the dynamic categorization of heterogeneous, regulated enterprise information assets. In one embodiment of the invention a system includes a computer network controlled by an enterprise and a database including a plurality of enterprise data entities. A user interface, through which a plurality of enterprise users may access the enterprise data entities, is also used by the plurality of users to assign user-defined categories to the enterprise data entities. The user interface is configured to enable a plurality of the users to access and assign additional user-defined categories to enterprise data entities having user-defined categories previously assigned by other users.

Web 2.0 system and method for dynamic categorization of heterogeneous and regulated enterprise assets

An approach is provided to identify important paths in a biological relationship graph for exploration by researchers. In the approach, a biological meaningfulness analysis is performed on the biological relationship graph that has a number of paths through the graph formed by a number of connected nodes. The biological meaningfulness analysis is based on a process similarity calculation of gene ontologies of the nodes in the paths and a contextual similarity calculation of word occurrences from documents in a corpus where a reference to the respective nodes are found. A biological interestingness analysis is also performed on the biological relationship graph. The paths are screened based on the meaningfulness analysis and the interestingness analysis. The screened data is displayed to the user.

Mining biological networks to explain and rank hypotheses

Provided are a method, computer program product, and system for processing a data management request. User intent that defines properties of target data is determined. Policies and constraints for the data management request are determined. An abstract data management request that identifies source data, the target data, and the polices and constraints is created. A technology to use to process the data management request based on the user intent, policies, and constraints is determined.

Intent based automation of data management operations by a data management engine

Provided are a method, system, and article of manufacture for managing validation models and rules to apply to data sets. A schema definition describing a structure of at least one column in a first data set having a plurality of columns and records providing data for each of the columns is received. At least one model is generated, wherein each model asserts conditions for at least one column in a record of the first data set. The schema definition and the at least one model are stored in a data quality model. Selection is received of a second data set and the data quality model. A determination is made as to whether a structure of the second data set is compatible with the schema definition in the selected data quality model. Each model in the data quality model is applied to the records in the second data set to validate the records in the second data set in response to determining that the structure of the second data set and the schema definition are compatible.

Managing validation models and rules to apply to data sets

A method, system and computer program product provide an implementation of software. A control flow of a software component is constructed based on a specification model. In various embodiments, the specification model comprises at least one input and at least one requirement referencing the at least one input. At least a partial implementation of the software component is generated based on the control flow and the at least one input and the at least one requirement of the specification model. In some embodiments, the specification model further comprises at least one output, and the at least a partial implementation of the software component is also based on the at least one output.

Collaborative derivation of an interface and partial implementation of programming code

Provided are a method, system, and article of manufacture for using a data mining algorithm to generate format rules used to validate data sets. A data set has a plurality of columns and records providing data for each of the columns. Selection is received of at least one format column for which format rules are to be generated and selection is received of at least one predictor column. A format mask column is generated for each selected format column. For records in the data set, a value in the at least one format column is converted to a format mask representing a format of the value in the format column and storing the format mask in the format mask column in the record for which the format mask was generated. The at least one predictor column and the at least one format mask column are processed to generate at least one format rule. Each format rule specifies a format mask associated with at least one condition in the at least one predictor column.

Using a data mining algorithm to generate format rules used to validate data sets

A system, method, and program product are provided that identifies a remote stored procedure stored in a remote database management system, and automatically generates a local stored procedure stored in a local database management system. To automatically generate the local stored procedure, local and remote metadata are gathered corresponding, respectively, to a local database management system and a remote database management system. The remote metadata is used to create a call statement to the remote stored procedure. The created invocation method maps input values, input to the local stored procedure, to input parameters of the remote stored procedure. Results in the local stored procedure are set by mapping the data returned from the remote stored procedure to the corresponding return values (e.g., parameters and result sets) in the local stored procedure values.

System and method for virtualization of relational stored procedures in non-native relational database systems

A method, apparatus, and article of manufacture for a transformation lineage model. Data stored on a data storage device connected to a computer is navigated. In response to receiving user input, a target object in an information catalog is selected. Then, information about a source from which the target object was derived is provided.

Data navigation system and method employing data transformation lineage model

Systems, methods, and computer products that efficiently share and move data between different types of data storage formats. More particularly, the preferred embodiment of the present invention provides an easy to use graphical user interface (GUI) for displaying, navigating, and selecting hierarchical database segments and fields. The preferred embodiment of the present invention novelly uses a hierarchical tree structure that clearly represents the structures of a database and their mutual exclusivity, for easy understanding of and navigation through the various database structures. The user is prevented from selecting segments and fields that are not valid for the selected path thereby ensuring accuracy in the representation of the database data structures. Also, the user may select a path from the top of the hierarchical tree, the root, to a specific segment or field.

Systems, methods, and computer program products to display and select hierarchical database segments and fields

A multiple task wait system and associated method allow a client application to wait for multiple tasks to be successfully or conditionally implemented before running subsequent tasks. Two mechanisms can be used to accomplish this multiple wait process: The first mechanism uses a multi-wait grouping process that is visible to the client, and the second mechanism uses a graphical representation to identify the tasks to be completed. The multi-wait grouping process allows a client to group a related set of tasks together for both control and documentation purposes. The client can add as many tasks as the resources of the computer allow to a group while defining the data flows and control flows between the tasks in the group using various graphical tools. The multi-wait system allows the client to define the constraints and conditions for a set of tasks to be considered complete, and further allows the system to define the constraints and conditions for considering all the tasks within the group to be completed. By utilizing the group concept, the system can selectively control the tasks to be included in the completion decision based on predefined rules.

Multiple task wait system for use in a data warehouse environment

A method, apparatus, and article of manufacture for a metadata synchronizer. Data stored on a data storage device connected to a computer is synchronized. At specified intervals, a tool that operates on an object is monitored to identify changes to metadata of that object. When changes to the metadata are identified, an information catalog containing corresponding metadata for the object is updated.

Method and system for synchronization of metadata in an information catalog

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Sunnyvale, CA, United States of America

Jacques Labrie