Abstract: A data curation system is provided that includes various methods to enable efficient reuse of human and machine effort. To reuse effort, various facilities are presented that model, save, and allow for querying of provenance and state information of a curation workflow and allow for incremental, stateful transitions of the data and metadata thereof.

Abstract: A data curation system is provided that includes various methods to enable efficient reuse of human and machine effort. To reuse effort, various facilities are presented that model, save, and allow for querying of provenance and state information of a curation workflow and allow for incremental, stateful transitions of the data and metadata thereof.

Abstract: A data curation system that includes various methods to enable efficient reuse of human and machine effort. To reuse effort, various facilities are presented that model, save, and allow the querying of provenance and state information of a curation workflow and allow for incremental, stateful transitions of the data and the metadata.

Abstract: A data curation system that includes various methods to enable efficient reuse of human and machine effort. To reuse effort, various facilities are presented that model, save, and allow the querying of provenance and state information of a curation workflow and allow for incremental, stateful transitions of the data and the metadata.

Abstract: A performance analysis system that analyzes the performance of a business intelligence analytics application is provided. The performance analysis system logs data associated with one or more queries of a database within the database. The performance analysis system further generates performance data based on an analysis of the logged data, where the performance data includes data associated with one or more performance metrics of each query. The performance analysis system further generates one or more performance queries of the performance data, where a response to each performance query includes at least a portion of the one or more performance metrics stored within the database.

Abstract: A system for visualizing concepts within a collection of information analyzes a set of materials from at least one collection of information and defines an attribute space associated with the set of materials. The system then determines automatically similarity of members of the attribute space. The system then generates a graphical model of the members of the attribute space, where the generating includes generating a display of the members of the attribute space, each of the members having a respective display distance from other respective members of the attribute space reflective of the determined similarity.

Abstract: A performance analysis system that analyzes the performance of a business intelligence analytics application is provided. The performance analysis system logs data associated with one or more queries of a database within the database. The performance analysis system further generates performance data based on an analysis of the logged data, where the performance data includes data associated with one or more performance metrics of each query. The performance analysis system further generates one or more performance queries of the performance data, where a response to each performance query includes at least a portion of the one or more performance metrics stored within the database.

Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.

Abstract: A system for visualizing concepts within a collection of information analyzes a set of materials from at least one collection of information and defines an attribute space associated with the set of materials. The system then determines automatically similarity of members of the attribute space. The system then generates a graphical model of the members of the attribute space, where the generating includes generating a display of the members of the attribute space, each of the members having a respective display distance from other respective members of the attribute space reflective of the determined similarity.

Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.

Abstract: A method is disclosed for modifying the results of a search performed in a collection of items by a search and navigation system. The method includes receiving a query from a user interface and determining a navigation state, defined by expressions of attribute-value pairs, based on the received query. The user interface accepts both selecting and deselecting of any of the attribute-value pairs in an expression corresponding to a navigation state to obtain an expression corresponding to a different navigation state, and each selection and deselection forms a new query. The method further includes retrieving, from the collection, items associated with the navigation state to form a set of unmodified search results, the set of unmodified search results having an arrangement for presentation to the user. A rule filter that includes a metadata expression is applied to a set of rules, each rule having a trigger, an action, and metadata.

Abstract: A method is disclosed for modifying the results of a search performed in a collection of items by a search and navigation system. The method includes receiving a query from a user interface and determining a navigation state, defined by expressions of attribute-value pairs, based on the received query. The user interface accepts both selecting and deselecting of any of the attribute-value pairs in an expression corresponding to a navigation state to obtain an expression corresponding to a different navigation state, and each selection and deselection forms a new query. The method further includes retrieving, from the collection, items associated with the navigation state to form a set of unmodified search results, the set of unmodified search results having an arrangement for presentation to the user. A rule filter that includes a metadata expression is applied to a set of rules, each rule having a trigger, an action, and metadata.