Abstract: An enhanced system and method are provided for data-driven named entity type disambiguation of one or more disclosed embodiments. A system and a non-limiting computer-implemented method provides named-entity type disambiguation; receiving an unstructured document, analyzing the document using a set of Named Entity Recognition (NER) annotators, each generating annotated entities. For each respective annotated entity an Entity Disambiguation Module resolves a target entity type when a mention was assigned multiple entity types by different NER annotators by leveraging domain knowledge to form a set of first resolved entities. An Annotation Ranker associates a computed score to each entity in the set of first resolved entities using information in a knowledge base.

Abstract: A method, computer system, and a computer program product for data processing, comprising obtaining a plurality of files from a data source. These files are analyzed the files for information about the content and in order to determine structural information of each file. Once the files have been analyzed, information in each file may be sorted and categorized by common content. Sensitive information may also be extracted and categorized separately. Information may then be then merged using the categories to create a single unified file.

Abstract: There is disclosed a system and method for executing multiple distinct aggregate queries. In an embodiment, the method comprises: providing at least one Counting Bloom Filter for each distinct column of an input data stream; reviewing count values in the at least one Counting Bloom Filter for the existence of duplicates in each distinct column; and if necessary, using a distinct hash operator to remove duplicates from each distinct column of the input data stream, thereby removing the need for replicating the input data stream and minimizing distinct hash operator processing. Also, the use of Counting Bloom Filters for monitoring data streams allow an early duplicate removal of the input stream of data, resulting in savings in computation time and memory resources.

Abstract: A method and system for query problem determination have been disclosed. The method includes receiving a database query; creating a query execution plan for the database query comprising a plurality of query plan operators; and executing the query execution plan, wherein a progress indicator is displayed for each query plan operator. The system includes a query progress monitor, which collects progress information for each query plan operator during the execution of the query execution plan. This progress information is then communicated to a query progress visualizer and a query progress analyzer, which graphically displays the progress information as a progress indicator for each query plan operator and performs debugger type operations, respectively. In this manner, information concerning the progress of the query execution is provided at a query operator level, such that the information may be used to more efficiently debug any problems with the query.

Abstract: A method, computer program product, and system for managing statistical views in a database system are provided. The method, computer program product, and system provide for collecting data relating to optimization and execution of a workload in the database system and automatically generating a set of one or more statistical views based on the collected optimization and execution data.

Abstract: There is disclosed a system and method for executing multiple distinct aggregate queries. In an embodiment, the method comprises: providing at least one Counting Bloom Filter for each distinct column of an input data stream; reviewing count values in the at least one Counting Bloom Filter for the existence of duplicates in each distinct column; and if necessary, using a distinct hash operator to remove duplicates from each distinct column of the input data stream, thereby removing the need for replicating the input data stream and minimizing distinct hash operator processing. Also, the use of Counting Bloom Filters for monitoring data streams allow an early duplicate removal of the input stream of data, resulting in savings in computation time and memory resources.

Abstract: A method, computer program product, and system for managing statistical views in a database system are provided. The method, computer program product, and system provide for collecting data relating to optimization and execution of a workload in the database system and automatically generating a set of one or more statistical views based on the collected optimization and execution data.

Abstract: A method and system for query problem determination have been disclosed. The method includes receiving a database query; creating a query execution plan for the database query comprising a plurality of query plan operators; and executing the query execution plan, wherein a progress indicator is displayed for each query plan operator. The system includes a query progress monitor, which collects progress information for each query plan operator during the execution of the query execution plan. This progress information is then communicated to a query progress visualizer and a query progress analyzer, which graphically displays the progress information as a progress indicator for each query plan operator and performs debugger type operations, respectively. In this manner, information concerning the progress of the query execution is provided at a query operator level, such that the information may be used to more efficiently debug any problems with the query.

Abstract: An autonomic system directed to opportunistically store captured data from at least two writer processes executing in an autonomic system. The method includes: creating a pool of storage locations in which data can be stored by the at least two writing processes, one of the at least two writer processes capturing data to be stored; selecting a storage location from the pool for the one of said at least two writer processes; and determining if the selected file is available for writing by the one of the at least two writer processes and writing the captured data to the storage location if it is available.