Abstract: Methods, computer program products and systems are directed to receiving a query regarding an information architecture, selecting a set of nodes based on the query, from a plurality of nodes in a weighted linked graph, the weighted linked graph comprising the plurality of nodes and a plurality of pathways, each of the plurality of nodes comprising a source of information regarding the information architecture, each of the plurality of pathways connecting one of the plurality of nodes to another of the plurality of nodes, each of the plurality of pathways comprising a weight, determining a path from the plurality of pathways that passes through all of selected nodes, and presenting the path in response to the query.

Abstract: A computer-implemented method for the placing of information assets, including: discovering information about a new or changed information asset; determining one or more characteristics of an ideal location for the information asset; determining one or more characteristics of one or more locations in an information technology environment; determining the compatibility of the information asset with the location(s) by comparing the characteristic(s) of the ideal location to the characteristic(s) of the actual location(s); reporting the compatibility to a user; and optionally suggesting alternative placement locations. The locations may be part of one or more locational schemas.

Abstract: A computer-implemented method for the placing of information assets, including: discovering information about a new or changed information asset; determining one or more characteristics of an ideal location for the information asset; determining one or more characteristics of one or more locations in an information technology environment; determining the compatibility of the information asset with the location(s) by comparing the characteristic(s) of the ideal location to the characteristic(s) of the actual location(s); reporting the compatibility to a user; and optionally suggesting alternative placement locations. The locations may be part of one or more locational schemas.

Abstract: A user interface is generated that displays a set of selectable terms from a glossary of business terms and is configured to generate a business metadata query that identifies a forum with member profiles. A data movement executable is generated that identifies the forum and an analytical processing environment. The data movement executable is deployed and data is moved from the forum into the analytical processing environment. Analytics are performed on the data from the forum. Metadata is identified from the analytics. The glossary of business terms is updated using the metadata from the analytics.

Abstract: A user interface is generated that displays a set of selectable terms from a glossary of business terms and is configured to generate a business metadata query that identifies a forum with member profiles. A data movement executable is generated that identifies the forum and an analytical processing environment. The data movement executable is deployed and data is moved from the forum into the analytical processing environment. Analytics are performed on the data from the forum. Metadata is identified from the analytics. The glossary of business terms is updated using the metadata from the analytics.

Abstract: A method, computer program product, and system for information governance crowd sourcing by, responsive to receiving a data quality exception identifying one or more data quality errors in a data store, identifying a performance level required to correct the data quality errors, selecting, from a crowd hierarchy, a first one or more crowds meeting the defined performance level, wherein the crowd hierarchy ranks the performance of one or more crowds, and routing, by operation of one or more computer processors, the one or more data quality errors to the selected crowds for correction.

Abstract: Method, system, and computer program product to improve a coverage of a plurality of classifications between a plurality of terms in a glossary and a set of values in a reference data management system, by identifying a first classification, of the plurality of classifications in the glossary, between a first term in the glossary and a first set of values in the reference data management system, detecting a relationship between the first set of values and a second set of values in the reference data management system, and upon determining that a relevance score for a relevant value from the second set of values exceeds a predefined threshold, identifying the relevant value to be classified with the term in the glossary, wherein the glossary is configured to create a second classification between the first term and the relevant value.

Abstract: Flexibly modeling and visualizing a level-based hierarchy. A first level set and a second level set are identified from a first data set and a second data set in a first domain and a second domain, respectively. A first relationship type to be used between the first level set and the second level set is received. A first hierarchy is formalized, including at least the first level set and the second level set joined in a hierarchical relationship according to the first relationship type.

Abstract: Flexibly modeling and visualizing a level-based hierarchy. A first level set and a second level set are identified from a first data set and a second data set in a first domain and a second domain, respectively. A first relationship type to be used between the first level set and the second level set is received. A first hierarchy is formalized, including at least the first level set and the second level set joined in a hierarchical relationship according to the first relationship type.

Abstract: Ontologies are used to comprehend regular expressions, by selecting, based on a context relating to a domain of a regular expression, an ontology and an assertion base, parsing the regular expression to identify at least one fragment of the regular expression, identifying one or more assertions in the assertion base corresponding to one of the identified fragments, identifying, for each identified assertion, an associated node in the ontology, and returning, based on the associated nodes, a concept in the ontology as representing the associated fragment of the regular expression.

Abstract: Ontologies are used to comprehend regular expressions, by selecting, based on a context relating to a domain of a regular expression, an ontology and an assertion base, parsing the regular expression to identify at least one fragment of the regular expression, identifying one or more assertions in the assertion base corresponding to one of the identified fragments, identifying, for each identified assertion, an associated node in the ontology, and returning, based on the associated nodes, a concept in the ontology as representing the associated fragment of the regular expression.

Abstract: Techniques are disclosed to facilitate consistency between a glossary and a repository, where the glossary includes one or more terms and the repository includes information sets. Each information set includes a definition for a respective term and a range of valid values for the respective term. A request is received to approve a first information set in the repository, where the first information set pertains to a first term in the glossary. The first information set is designated as an active information set for the first term. A subsequent request is received to assign the first term in the glossary to a second information set in the repository, where the second information set is different from the first information set. An information set to designate as the active information set for the first term is programmatically determined based on a predefined consistency criterion.

Abstract: According to an embodiment of the present invention, a system optimizes an information processing environment, and comprises at least one processor. The system collects information pertaining to operational behavior of the information processing environment and including a plurality of parameters. A neural network structure is established to associate the parameters to a desired operational performance characteristic for the information processing environment. The neural network structure is trained with the collected information from the information processing environment to produce a model for the information processing environment. The model is optimized to determine values for the parameters and the information processing environment is adjusted based on the determined parameter values to attain the desired operational performance of the information processing environment.

Abstract: A mechanism is provided in a data processing system for categorization of assets. The mechanism receives attribute values for a set of information technology (IT) assets. The mechanism performs k-means clustering analysis to cluster together IT assets with similar attributes to form a set of asset clusters. The mechanism uses a knowledge representation associated with the set of IT assets to assign the IT assets into a set of tentative clusters. The mechanism categorizes the set of IT assets into categories based on a combination of the set of asset clusters and the set of tentative clusters.

Abstract: Provided are to a computer program product, system, and method for determining linkage metadata of content of a target document to source documents.

Abstract: Techniques are disclosed for identifying transcoding tables in an Extract-Transform-Load (ETL) process, by identifying, by operation of one or more computer processors, records passing through an operator configured to replace values in the records with values from at least one table linked to the operator before being sent to an output table, wherein the operator specifies an operation for extracting, transforming, or loading data stored in one or more source systems into storage by a target system, and evaluating at least a first table linked to the operator to determine whether the first table is a transcoding table by assigning a score to the first table, wherein the score is indicative of the likelihood that the first table is a transcoding table, wherein a transcoding table is used to harmonize values from a plurality of tables in the one or more source systems to a table in the target.

Abstract: A system maps data within a data source to a target data model, and comprises a computer system including at least one processor. The system determines an identifier for each data object of the data source based on the data within that data object, wherein the identifier indicates for that data object a corresponding concept within a domain ontological representation of a data model of the data source. The determined identifiers for the data objects of the data source are compared to the target data model to determine mappings between the data objects of the data source and the target data model. Data objects from the data source are extracted for the target data model in accordance with the mappings. Present invention embodiments further include a method and computer program product for mapping data within a data source to a target data model.

Abstract: Techniques are described for refining the manual classification of assets classified or categorized using the terms of a business glossary. A semantic refinement mechanism is used to refine the manual classification of such assets, as well as subsequently evaluate the refined asset classifications. Further, the refined asset classifications may be used as a training set for a machine learning classifier. That is, should the classification of an asset contributing to a refinement change, the refinement based on that classification may be undone, at least in some cases.

Abstract: Techniques are described for refining the manual classification of assets classified or categorized using the terms of a business glossary. A semantic refinement mechanism is used to refine the manual classification of such assets, as well as subsequently evaluate the refined asset classifications. Further, the refined asset classifications may be used as a training set for a machine learning classifier. That is, should the classification of an asset contributing to a refinement change, the refinement based on that classification may be undone, at least in some cases.

Abstract: Provided are to a computer program product, system, and method for determining linkage metadata of content of a target document to source documents.