Abstract: Embodiments of the present invention disclose a method, computer program product, and system for optimizing spatial queries, the method comprising a computer receiving a spatial data set, and a target spatial shape. The computer determining a distribution data set which aligns with the geometry of the spatial data set. The computer performing a query to determine a list of full and partial shapes of the spatial data set located within the target spatial shape. The computer determining a ratio for a determined partial shape of the spatial data set using the distribution data set. The computer determining an apportioned value of a variable of the spatial data set within the determined partial shape. The computer summarizing into a result set the value of the variable within the determined list of full and partial shapes of the spatial data set.

Abstract: A method and system for generating a map using a computer is based on data and weighted factors to minimize corresponding projection distortions. The method and system includes determining visualization goals from analyzing a set of datasets for a map using the computer. A set of visualization characteristics are calculated for each dataset based on the visualization goals using the computer. The visualization characteristics are analyzed to weight factors for each of the datasets. Each of the weighted factors is adjusted based on the relevance of each of the datasets for visualization of the map. An aggregate vector of weighted factors is calculated based on all of the datasets, and the map for visualization is generated based on the aggregate vector of weighted factors.

Abstract: A method and system for generating a map using a computer is based on data and weighted factors to minimize corresponding projection distortions. The method and system includes determining visualization goals from analyzing a set of datasets for a map using the computer. A set of visualization characteristics are calculated for each dataset based on the visualization goals using the computer. The visualization characteristics are analyzed to weight factors for each of the datasets. Each of the weighted factors is adjusted based on the relevance of each of the datasets for visualization of the map. An aggregate vector of weighted factors is calculated based on all of the datasets, and the map for visualization is generated based on the aggregate vector of weighted factors.

Abstract: A system for joining modeled data with new data sources. Modeled tabular data containing categorical and metric data is received. New data containing structured or non-structured data is received. The new data is indexed and data clusters and/or data facets are identified. Data clusters and data facets are also identified within the received modeled data. A textual query from a user is received and semantically indexed into keywords. Data clusters and data facets within the new data are matched to the keywords in the indexed query. Data clusters and data facets within in the modeled data are matched to the keywords in the indexed query. A table is generated containing the modeled data and matching data clusters and data facets from the new data.

Abstract: A system for joining modeled data with new data sources. Modeled tabular data containing categorical and metric data is received. New data containing structured or non-structured data is received. The new data is indexed and data clusters and/or data facets are identified. Data clusters and data facets are also identified within the received modeled data. A textual query from a user is received and semantically indexed into keywords. Data clusters and data facets within the new data are matched to the keywords in the indexed query. Data clusters and data facets within in the modeled data are matched to the keywords in the indexed query. A table is generated containing the modeled data and matching data clusters and data facets from the new data.

Abstract: A request from a first user to access data stored in a first location is received. A profile of the first user is determined, wherein the profile includes one or more locations of data storage that the first user is allowed to access. Responsive to the determining the profile of the first user, whether the first location is included in the one or more locations of data storage that the first user is allowed to access is determined. Responsive to determining the first location is included in the one or more locations of data storage the first user is allowed to access, the first user is granted access to the data stored in the first location.

Abstract: A request from a first user to access data stored in a first location is received. A profile of the first user is determined, wherein the profile includes one or more locations of data storage that the first user is allowed to access. Responsive to the determining the profile of the first user, whether the first location is included in the one or more locations of data storage that the first user is allowed to access is determined. Responsive to determining the first location is included in the one or more locations of data storage the first user is allowed to access, the first user is granted access to the data stored in the first location.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for optimizing spatial queries, the method comprising a computer receiving a spatial data set, and a target spatial shape. The computer determining a distribution data set which aligns with the geometry of the spatial data set. The computer performing a query to determine a list of full and partial shapes of the spatial data set located within the target spatial shape. The computer determining a ratio for a determined partial shape of the spatial data set using the distribution data set. The computer determining an apportioned value of a variable of the spatial data set within the determined partial shape. The computer summarizing into a result set the value of the variable within the determined list of full and partial shapes of the spatial data set.

Abstract: A mechanism is provided for automatically performing join operations. Source data is received and a metadata model is received. The metadata model includes a hierarchical structure. The source data is aligned to the hierarchical structure in the metadata model to form a source data hierarchy. Based on the source data hierarchy, the source data is joined to geocoded information.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for optimizing spatial queries, the method comprising a computer receiving a spatial data set, and a target spatial shape. The computer determining a distribution data set which aligns with the geometry of the spatial data set. The computer performing a query to determine a list of full and partial shapes of the spatial data set located within the target spatial shape. The computer determining a ratio for a determined partial shape of the spatial data set using the distribution data set. The computer determining an apportioned value of a variable of the spatial data set within the determined partial shape. The computer summarizing into a result set the value of the variable within the determined list of full and partial shapes of the spatial data set.

Abstract: A content syndication system is disclosed where a syndicated data feed entry may include whatever information contributed to the content of that feed entry. Doing so allows business reporting and analytics tools to consume both the feed information (e.g., a summary of a report) and the underlying data (e.g., a collection of database records). A feed-reader application that does not understand the extended feed data (i.e., the information which contributed to the content of the feed entry) simply disregards the extended content. Thus, the extended feeds may be included in email messages, documents and other packaging and delivery mechanisms since no additional information is needed to consume or render formatted content.

Abstract: Techniques are described for creating geospatial elements based on geographical data. In one example, a method for creating geospatial elements based on geographical data includes collecting one or more geographical indicators comprised in a set of operational data, the geographical indicators indicating one or more geographical areas. The method further includes collecting, from a set of geographical data, geospatial data associated with the one or more geographical areas indicated by the one or more geographical indicators. The method further includes generating one or more aggregated geospatial elements based on the one or more geographical indicators and the geospatial data.

Abstract: Techniques are described for creating geospatial elements based on geographical data. In one example, a method for creating geospatial elements based on geographical data includes collecting one or more geographical indicators comprised in a set of operational data, the geographical indicators indicating one or more geographical areas. The method further includes collecting, from a set of geographical data, geospatial data associated with the one or more geographical areas indicated by the one or more geographical indicators. The method further includes generating one or more aggregated geospatial elements based on the one or more geographical indicators and the geospatial data.

Abstract: For each of a plurality of concepts indicated in an XBRL schema associated with an XBRL instance, concept relationship information is determined. The concept relationship information is determined from the XBRL schema, context information indicated in the XBRL instance, and at least one of a plurality of files that constitute a taxonomy set for the XBRL instance. Attribute information is determined for each concept based, at least in part, on the XBRL schema and at least one of the files that constitute the taxonomy set. An XML document is generated with XML elements structured in accordance with the concept relationship information. Each of the XML elements is populated with corresponding ones of XBRL facts to yield the structured XML data model instance.

Abstract: For each of a plurality of concepts indicated in an XBRL schema associated with an XBRL instance, concept relationship information is determined. The concept relationship information is determined from the XBRL schema, context information indicated in the XBRL instance, and at least one of a plurality of files that constitute a taxonomy set for the XBRL instance. Attribute information is determined for each concept based, at least in part, on the XBRL schema and at least one of the files that constitute the taxonomy set. An XML document is generated with XML elements structured in accordance with the concept relationship information. Each of the XML elements is populated with corresponding ones of XBRL facts to yield the structured XML data model instance.

Abstract: In certain examples, a mechanism is provided for automatically performing join operations. Source data is received and a metadata model is received. The metadata model includes a hierarchical structure. The source data is aligned to the hierarchical structure in the metadata model to form a source data hierarchy. Based on the source data hierarchy, the source data is joined to geocoded information.

Abstract: A content syndication system is disclosed where a syndicated data feed entry may include whatever information contributed to the content of that feed entry. Doing so allows business reporting and analytics tools to consume both the feed information (e.g., a summary of a report) and the underlying data (e.g., a collection of database records). A feed-reader application that does not understand the extended feed data (i.e., the information which contributed to the content of the feed entry) simply disregards the extended content. Thus, the extended feeds may be included in email messages, documents and other packaging and delivery mechanisms since no additional information is needed to consume or render formatted content.

Abstract: A method and system is provided for managing business taxonomy. The system comprises an indexing engine for indexing content of source business oriented metadata. The indexing engine has a content scanner for reading the business oriented metadata, defining taxonomy of the business oriented metadata, and building a content index of the business oriented metadata including a subject index representing the taxonomy of the business oriented metadata. The system also comprises an index store for storing the content index of the business oriented metadata, and a taxonomy engine for providing taxonomy services to users using the content index.

Abstract: An example management system comprises an indexing engine, an index store and an example engine. The indexing engine indexes content of source business oriented metadata. The indexing engine has a content scanner for reading the business oriented metadata, and building a content index of the business oriented metadata. The index store stores the content index of the business oriented metadata. The example engine manages logical associations of terms in a query using the content index.

Abstract: Subject ranking management system provides a ranked search result for a given set of one or more search terms. The subject ranking management system determines, using a taxonomy, one or more parent subject items related to one or more matching subject items that match a given set of search terms. The system statistically ranks relevant subject items including the matching subject items and the parent subject items, and organizes the relevant subject items as ranked by the item ranking calculation unit. Ranked subjects can then be presented to an operator to assist with further refinement or used to automatically produce a better search without further operator invention.