Abstract: Embodiments are included for methods, systems, and computer program products in which evaluating operations using an electronic computing device are presented including: receiving the operation on a first database partition in a shared nothing parallelism system, where the operation is non-collocated, reference based operation; generating a correlation sequence, where the correlation sequence includes a sequence of references pointing to input data required for the operation; receiving one of the references on a first table queue operator on a second database partition, where the second database partition includes input data corresponding with the received reference, and where the table queue operator is configured for providing communication between the first database partition and the second database partition; and processing the input data on the second database partition corresponding with the operation.

Abstract: Provided are techniques for processing a query. A query is received, wherein the query is formed by one or more paths, and wherein each path includes one or more steps. A hierarchical document including one or more document nodes is received. While processing the query and traversing the hierarchical document, one or more extraction entries are constructed, wherein each extraction entry includes a step instance match candidate identifying a document node and a step instance ancestor path for the document node, and one or more tuples are constructed using the one or more extraction entries by associating the step instance match candidate from one of the one or more extraction entries with the step instance match candidate from at least one of the one or more other extraction entries.

Abstract: Provided are techniques for processing a query. A query is received, wherein the query is formed by one or more paths, and wherein each path includes one or more steps. A hierarchical document including one or more document nodes is received. While processing the query and traversing the hierarchical document, one or more extraction entries are constructed, wherein each extraction entry includes a step instance match candidate identifying a document node and a step instance ancestor path for the document node, and one or more tuples are constructed using the one or more extraction entries by associating the step instance match candidate from one of the one or more extraction entries with the step instance match candidate from at least one of the one or more other extraction entries.

Abstract: Provided are techniques for processing a query. A query is received, wherein the query is formed by one or more paths, and wherein each path includes one or more steps. A hierarchical document including one or more document nodes is received. While processing the query and traversing the hierarchical document, one or more extraction entries are constructed, wherein each extraction entry includes a step instance match candidate identifying a document node and a step instance ancestor path for the document node, and one or more tuples are constructed using the one or more extraction entries by associating the step instance match candidate from one of the one or more extraction entries with the step instance match candidate from at least one of the one or more other extraction entries.

Abstract: Embodiments are included for methods, systems, and computer program products in which evaluating operations using an electronic computing device are presented including: receiving the operation on a first database partition in a shared nothing parallelism system, where the operation is non-collocated, reference based operation; generating a correlation sequence, where the correlation sequence includes a sequence of references pointing to input data required for the operation; receiving one of the references on a first table queue operator on a second database partition, where the second database partition includes input data corresponding with the received reference, and where the table queue operator is configured for providing communication between the first database partition and the second database partition; and processing the input data on the second database partition corresponding with the operation.

Abstract: Embodiments are included for methods, systems, and computer program products for evaluating operations in a shared nothing parallelism system using an electronic computing device are presented, the methods and computer program products including: causing the electronic computing device to receive the operation, where the operation is non-collocated, reference based operation, and where the operation is configured for execution on a first partition in the shared nothing parallelism system; causing the electronic computing device to insert a table queue operator on a second partition, where the second partition includes a reference to input data, causing the electronic computing device to place the reference to the input data on the first partition by the table queue operator; and causing the electronic computing device to execute the operation on the reference to the input data on the first partition.

Abstract: A method, system and computer program product for inferring topic evolution and emergence in a set of documents. In one embodiment, the method comprises forming a group of matrices using text in the documents, and analyzing these matrices to identify a first group of topics as evolving topics and a second group of topics as emerging topics. The matrices includes a first matrix X identifying a multitude of words in each of the documents, a second matrix W identifying a multitude of topics in each of the documents, and a third matrix H identifying a multitude of words for each of the multitude of topics. These matrices are analyzed to identify the evolving and emerging topics. In an embodiment, the documents form a streaming dataset, and two forms of temporal regularizers are used to help identify the evolving topics and the emerging topics in the streaming dataset.

Abstract: Provided are techniques for processing a query. A query is received, wherein the query is formed by one or more paths, and wherein each path includes one or more steps. A hierarchical document including one or more document nodes is received. While processing the query and traversing the hierarchical document, one or more extraction entries are constructed, wherein each extraction entry includes a step instance match candidate identifying a document node and a step instance ancestor path for the document node, and one or more tuples are constructed using the one or more extraction entries by associating the step instance match candidate from one of the one or more extraction entries with the step instance match candidate from at least one of the one or more other extraction entries.

Abstract: Provided are techniques for processing a query. A query is received, wherein the query is formed by one or more paths, and wherein each path includes one or more steps. A hierarchical document including one or more document nodes is received. While processing the query and traversing the hierarchical document, one or more extraction entries are constructed, wherein each extraction entry includes a step instance match candidate identifying a document node and a step instance ancestor path for the document node, and one or more tuples are constructed using the one or more extraction entries by associating the step instance match candidate from one of the one or more extraction entries with the step instance match candidate from at least one of the one or more other extraction entries.

Abstract: A method, system and computer program product for inferring topic evolution and emergence in a set of documents. In one embodiment, the method comprises forming a group of matrices using text in the documents, and analyzing these matrices to identify evolving topics and emerging topics. The matrices includes a matrix X identifying a multitude of words in each of the documents, a matrix W identifying a multitude of topics in each of the documents, and a matrix H identifying a multitude of words for each of the multitude of topics. These matrices are analyzed to identify the evolving and emerging topics. In an embodiment, two forms of temporal regularizers are used to help identify the evolving and emerging topics. In another embodiment, a two stage approach involving detection and clustering is used to help identify the evolving and emerging topics.

Abstract: A method, system and computer program product for inferring topic evolution and emergence in a set of documents. In one embodiment, the method comprises forming a group of matrices using text in the documents, and analyzing these matrices to identify a first group of topics as evolving topics and a second group of topics as emerging topics. The matrices includes a first matrix X identifying a multitude of words in each of the documents, a second matrix W identifying a multitude of topics in each of the documents, and a third matrix H identifying a multitude of words for each of the multitude of topics. These matrices are analyzed to identify the evolving and emerging topics. In an embodiment, the documents form a streaming dataset, and two forms of temporal regularizers are used to help identify the evolving topics and the emerging topics in the streaming dataset.

Abstract: Resources are typically stored in homogenous data structures by shredding resource data into database tables destroying a native format of the resources. Typical approaches to indexing the resources rely on users indicating properties that should be indexed, using full text searches to create resource index documents, and other such labor and computation intensive processes. Functionality can be implemented to dynamically generate the resource index documents based on resource properties with minimal user input. The resource index documents can be in a common format to facilitate access to resources stored in heterogeneous native resource formats.

Abstract: An apparatus and method for optimizing descendant path evaluation in XPath/XQuery includes generating a list of unique paths in a tree structure of an XML document. Each unique path includes one or more nodes of the tree structure. A query is received specifying a descendant node for retrieval from the tree structure. From the list, unique paths are identified that include the descendant node. A navigation aid is then generated to assist in traversing the unique paths that include the descendant node. Using the navigation aid as a guide, descendant nodes in the tree structure may be retrieved by traversing only unique paths that include the descendant node.

Abstract: Provided are techniques for processing a query. A query is received, wherein the query is formed by one or more paths, and wherein each path includes one or more steps. A hierarchical document including one or more document nodes is received. While processing the query and traversing the hierarchical document, one or more extraction entries are constructed, wherein each extraction entry includes a step instance match candidate identifying a document node and a step instance ancestor path for the document node, and one or more tuples are constructed using the one or more extraction entries by associating the step instance match candidate from one of the one or more extraction entries with the step instance match candidate from at least one of the one or more other extraction entries.

Abstract: Embodiments are included for methods, systems, and computer program products for evaluating operations in a shared nothing parallelism system using an electronic computing device are presented, the methods and computer program products including: causing the electronic computing device to receive the operation, where the operation is non-collocated, reference based operation, and where the operation is configured for execution on a first partition in the shared nothing parallelism system; causing the electronic computing device to insert a table queue operator on a second partition, where the second partition includes a reference to input data, causing the electronic computing device to place the reference to the input data on the first partition by the table queue operator; and causing the electronic computing device to execute the operation on the reference to the input data on the first partition.

Abstract: Provided are techniques for processing a query. A query is received, wherein the query is formed by one or more paths, and wherein each path includes one or more steps. A hierarchical document including one or more document nodes is received. While processing the query and traversing the hierarchical document, one or more extraction entries are constructed, wherein each extraction entry includes a step instance match candidate identifying a document node and a step instance ancestor path for the document node, and one or more tuples are constructed using the one or more extraction entries by associating the step instance match candidate from one of the one or more extraction entries with the step instance match candidate from at least one of the one or more other extraction entries.

Abstract: Resources are typically stored in homogenous data structures by shredding resource data into database tables destroying a native format of the resources. Typical approaches to indexing the resources rely on users indicating properties that should be indexed, using full text searches to create resource index documents, and other such labor and computation intensive processes. Functionality can be implemented to dynamically generate the resource index documents based on resource properties with minimal user input. The resource index documents can be in a_common format to facilitate access to resources stored in heterogeneous native resource formats.

Abstract: Markup language node level hash join operations for evaluating a query language query are performed. The markup language node level hash join mechanism, i.e. the “XHashJoin” operator, is a multi-way join operator that uses two hash tables, BUILD and PROBE, to intersect document nodes from multiple index scans and to buffer intermediate query results. The BUILD hash table stores document nodes matching the predicates of a query, and buffers document nodes satisfying extraction nodes, of each portion of the query up to a current portion of the query being evaluated. The BUILD hash table and the PROBE hash table are switched at each portion of the query being evaluated. Query results are generated by linking document nodes buffered in the BUILD hash table based on the semantics of each extraction node.

Abstract: Provided are techniques for processing a query. A query is received, wherein the query is formed by one or more paths, and wherein each path includes one or more steps. A hierarchical document including one or more document nodes is received. While processing the query and traversing the hierarchical document, one or more extraction entries are constructed, wherein each extraction entry includes a step instance match candidate identifying a document node and a step instance ancestor path for the document node, and one or more tuples are constructed using the one or more extraction entries by associating the step instance match candidate from one of the one or more extraction entries with the step instance match candidate from at least one of the one or more other extraction entries.

Abstract: Provided are techniques for processing a query. A query is received, wherein the query is formed by one or more paths, and wherein each path includes one or more steps. A hierarchical document including one or more document nodes is received. While processing the query and traversing the hierarchical document, one or more extraction entries are constructed, wherein each extraction entry includes a step instance match candidate identifying a document node and a step instance ancestor path for the document node, and one or more tuples are constructed using the one or more extraction entries by associating the step instance match candidate from one of the one or more extraction entries with the step instance match candidate from at least one of the one or more other extraction entries.