Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for extracting instance attributes from text are described. In one aspect, a method exploits weakly-supervised and unsupervised instance relatedness data, available in the form of labeled classes of instances and distributionally similar instances. The method organizes the data into a graph containing instances, class labels, and attributes. The method propagates attributes among related instances, through random walks over the graph.

Abstract: The present invention discloses methods, systems, and tools for knowledge processing by building maps of ontological subjects for compositions or the contents accompanying a request for service by a user. In one embodiment of the invention the method assigns and calculates an ontological subject power spectrum to each composition or ontological subject. The resulting power spectrum and the adjacency matrix of the map are used to evaluate the merits of the compositions in the context of reference universes. It is also used as a research guiding tool for knowledge discovery. The invention serves knowledge seekers, knowledge creators, inventors, discoverer, as well as general public by assisting and guiding users to assess their work, identify their unknowns, optimize their research trajectory, and provide higher quality contents. The method and system, thereby, is instrumental in increasing the speed and efficiency of knowledge acquisition, discovery, retrieval, as well as faster learning and problem solving.

Abstract: A system is provided that reports audit data. The system defines metadata that defines a business object of an application module and an attribute of the business object as being auditable. The system further configures the metadata to enable auditing for the attribute of the business object. The system further generates audit data for the attribute of the business object based on the metadata, where the audit data includes a history of one or more modifications to the attribute of the business object. The system further stores the audit data within a shadow database table based on the metadata. The system further displays the audit data within a user interface.

Abstract: A computer-implemented method, a computer-implemented system, and a computer program product for data binning are disclosed. In a first aspect, the computer-implemented method comprises in response to a determination that a data value is greater than an estimated maximum data value, calculating a new bin position for the data value by adding multiples of a bin width to the estimated maximum data value until a bin where the data value belongs is found.

Abstract: Systems and methods for detecting changes in a physiological system are provided. A method comprises embedding time series data relating to the physiological system within a reconstructed phase space and partitioning the reconstructed phase space into a plurality of regions. The method further comprises generating a first matrix having a plurality of cells. A value stored in each cell is based on a probability that the system will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded data within at least one of the first region and the second region. The first matrix is associated with a normal operating condition of the physiological system. The method further comprises comparing the first matrix and a second matrix based on different data to detect an anomalous condition of the physiological system.

Abstract: An analysis system 400 according to the present invention includes: an engine controlling part 410 configured to control an analysis operation of an analysis engine accepting input of analysis target data and executing an analysis process on the analysis target data; and an importance judging part 420 configured to judge the importance of an analysis result produced by a given analysis engine. The engine controlling part 410 includes a load change controlling part 411 configured to execute a load change process of changing a load on an analysis engine provided in the analysis system in the analysis process by the analysis engine, in accordance with a judgment result produced by the importance judging part.

Abstract: A view schema is generated from a view definition, wherein the view schema includes one or more relational views that are created by translating one or more object queries in the view definition into one or more relational queries. A report design schema is generated from the view definition by: creating one or more report tables that correspond to the one or more relational views of the view schema and extending the one or more report tables with one or more primary key constraints and one or more foreign key constraints. A reporting model is generated by reverse engineering the report design schema, wherein the reporting model includes the one or more primary key constraints and the one or more foreign key constraints. A report is generated using the reporting model, wherein the report includes the one or more primary key constraints and the one or more foreign key constraints.

Abstract: Analogies among entities may be detected by obtaining associative counts among the entities and computing similarity measures among given entities and other entities, using the associative counts. First and second entities are then identified as being analogies if the first entity has a strongest similarity measure with respect to the second entity and the second entity also has a strongest similarity measure with respect to the first entity. The similarity measures may be calculated using a normalized entropy inverted among a given entity and other entities.

Abstract: A computer-implemented method, a computer-implemented system, and a computer program product for data binning are disclosed. In a first aspect, the computer-implemented method comprises in response to a determination that a data value is greater than an estimated maximum data value, calculating a new bin position for the data value by adding multiples of a bin width to the estimated maximum data value until a bin where the data value belongs is found.

Abstract: The current subject matter describes displaying historical data associated with one or more data values within a business intelligence report. A graphical user interface executed by a computing device can receive, from a user, a request for display of historical data associated with a specified/selected data value in a business intelligence report. Subsequently, a representational state transfer engine (RESTful engine), which can be connected to a server system connected to the computing device, can execute a representational state transfer service (RESTful service) to fetch historical data from current and past instances associated with the data value. Then, the RESTful engine can write the fetched historical data to a file. The RESTful engine can generate or determine a uniform resource locator (URL) to the file, and can send the URL to the computing device. When the URL is selected by the user, the computing device can display the file.

Abstract: Systems and methods are disclosed for offloading collection of monitored data. A data collector is associated with a plurality of monitored data sources and with a plurality of monitored data recipients. The data collector collects a cycle of monitored data from each of the sources of monitored data and persistently stores each of the cycles of monitored data in a separate monitored data package. The data collector provides the monitored data packages to the associated monitored data recipients in a manner that is asynchronous to the collection of the monitored data.

Abstract: A system, a method and a computer readable storage medium for pre-processing data collected from one or more data sources more accurately summarize data. During the pre-processing, multiple raw data are summarized into a pre-processed datum. By using the pre-processed data entries, more accurate trend data may be generated. Alternatively, data entries are indexed and selectively retrieved based on indices. Decimation of data points are performed based on the indices without retrieving all the data sets from the database, reducing the data access time for returning a query result. Additional data sets may also be retrieved efficiently from the database using the indices.

Abstract: A system and method may include monitoring communications between a user device, a website, and a behavioral tracking provider, capturing user information transmitted during the monitored communications, analyze the user information to determine one or more relationships between the user device, the websites, and the behavioral tracking provider, and outputting the one or more relationships to the user device.

Abstract: A scale for a first business intelligence (BI) report is determined and filters over data properties of received BI data are applied. A first BI report is generated. A second BI report based on the same BI data is generated for comparing with the first BI report. For the generation of the second BI report, the same data properties are filtered as for the first BI report. The first and the second BI reports use a common scale and are displayed as two layers placed one on top of the other. In some aspects, multiple other BI reports are generated and visualized for comparative study together with the first and second BI reports as overlapping layers. These multiple BI reports share the same scale as defined for the first BI report and include filters for the same data properties as for the first BI report.

Abstract: A Health Information Virtual Exchange (HIVE) BIOMED SYSTEM includes an originating exchange unit including circuitry configured to transmit, to a receiving exchange unit, a query request including predetermined query criteria, and receive, from the receiving exchange unit, patient metadata corresponding to a patient. The system also includes a receiving exchange unit including circuitry configured to aggregate protein-protein interaction data from a first service unit, wherein the aggregation includes determining corresponding data standards managed by the first service unit and receiving the protein-protein interaction data from the first service unit in the determined corresponding data standards. The receiving exchange unit can generate, in response to receiving the query request, the patient metadata corresponding to the patient, and transmit the patient metadata to the originating exchange unit.

Abstract: Methods, systems, and computer-readable mediums are provided for generating master reports. For example, a request to generate a master report may be received from a client device. Release data that includes a list of programs being developed is obtained from a program repository tool. Programs from the list of programs matching the search criteria are then identified. Business case data is then obtained from a business case tool for each matching program. Program process data is also obtained from a product and production tool for each matching program. Using an integrity rule, issues in the release data, the business case data, and the program process data are detected. The master report is generated such that the master report includes the release data, the business case data, the program process data, and the detected issues. The master report is then communicated to the client device.

Abstract: A tied server includes a first storage unit that stores appearance patterns of messages having a transaction identifier to identify a transaction. The tied server also includes a second storage unit that stores messages executed on the transaction DB server having the transaction ID by the application server and communicated between an application server and a DB server. The tied server classifies the messages stored in the second storage unit with respect to each transaction based on the appearance patterns of the messages stored in the first storage unit.

Abstract: A method for determining the authorship of a picture, wherein the method comprises at least the following steps: —transferring the picture to be examined or parts of the picture to be examined with the aid of a digitizing means, in particular a scanner, into at least one data set, —analyzing the data set(s) and determining characteristic features or parts of characteristic features, in particular dots or lines or dot or line groups or patterns, contained in the data set in digitized form, wherein the characteristic features to be determined are stored in a database, —and wherein the database includes an additional associated data set for each of the stored characteristic features.

Abstract: According to a present invention embodiment, a system determines a relationship between source and target database tables, and includes a computer system including at least one processor. Potential pivot keys of the target database table are determined, and maps are created for each potential pivot key between the database tables based on distinct values. Transformations for each map are generated that enable target data to be produced from source data. The transformations for each potential pivot key are analyzed and the potential pivot key with the transformations that generate the greatest amount of matching data is selected as the resulting pivot key. The database table columns corresponding to the resulting pivot key are determined to be associated by the relationship. Embodiments of the present invention further include a method and computer program product for determining a relationship between source and target database tables in substantially the same manner described above.

Abstract: A method and apparatus for comparing event data sets. A method, system and computer program for comparing event data sets comprising: calculating one or more derivatives for each event in a first and second set of events; classifying each event by the calculated derivatives; and evaluating a similarity of the first and second sets of events based on the classifications of the respective events.

Abstract: A repository stores a metric catalog. The metric catalog represents a slice of multidimensional data source. The metric catalog includes a selected measure, at least one analysis dimension, and at least one fixed dimension. A metric catalog system exposes the metric catalog as a web service. A well service client requests to consume the metric catalog. In response to the request, the metric catalog system parses the metric catalog. Based on the parsed metric catalog, one or more queries are generated and executed. Based on the execution of the queries, values of the selected measure for the at least one analysis dimension are determined. The determined values of the selected measure for the at least one analysis dimension is returned to the web service client.

Abstract: Techniques in this disclosure may provide a user interface that concurrently displays multiple panels which provide visualization of emergency call data of a law enforcement agency. The user interface can provide a high-level overview of emergency calls in a geographical area. Each panel in the user interface can provide visualization of the emergency calls and/or statistics relating to the calls. A user can customize which panels to include in the user interface and/or customize setting for each panel. The user may apply various types of filters to the data displayed in the user interface, and the panels can update the visualizations according to the filters. The user interface can also provide the ability to show data at various levels of detail within the same user interface or panel. The techniques in the disclosure can provide a convenient, digestible overview of tactical and/or strategic data in a single user interface.

Abstract: A method for using confidence factors in forming a system may include receiving a tolerable confidence factor. The method may also include utilizing only resources and relationships of a plurality of resources and relationships with confidence factors equal to or greater than the tolerable confidence factor to form the system.

Abstract: Aspects of the subject disclosure are directed towards processing search logs and/or other large scale data sources to detect medical related-effects. For example, an anomalous number of queries regarding a particular symptom and a drug may indicate the existence of a previously unknown side-effect of the drug. Side effects of drug interactions may also be found by processing behavioral data such as queries and social network posts. Also described is the generation of symptom spectra data that is processed to detect anomalies and the like in user behavior corresponding to medical related-effects.

Abstract: In one embodiment, a method receives a query for analyzing data in a database. The query includes a first level calculation that is performed before a second level calculation. The method determines an operator in the query configured to explicitly remove group by information for a reference characteristic in the first level calculation where the group by information is specified for the reference characteristic in the second level calculation. The first level calculation is performed by removing the group by information for the reference characteristic for the first level calculation to determine a first level calculation result and the second level calculation is performed using the first level calculation result using the group by information for the reference characteristic to determine a second level calculation result.

Abstract: Retrieving stored data using a web service is provided. An access request from a user account may be received at a web service via a proxy. The web service may decode information received in the access request. The web service may then authorize the user account utilizing the decoded information. The web service may then determine a request type based on the access request. The web service may then send a response based on the determined request type, which is based on data retrieved from a data store.

Abstract: An improved method for efficiently and accurately entering detailed data by yes/no entries so that the data is automatically recorded, optionally automatically distributed and optionally transformed into a readable prose report of the data, which is entered by yes/no markings.

Abstract: There are provided methods and systems to identify an item based on data associated with the item. Information is received that is descriptive of an item to be listed on an information storage and retrieval platform. The information is associated with an aspect-value pair, which is an aspect of the item and a value of the aspect. An expression of an interest of a user in the item is received. The expression is associated with the aspect-value pair. In response to the associating of the expression with the aspect-value pair, the item is identified.

Abstract: Embodiments of the invention relate to systems, methods, and computer program products for automated data purge in an e-discovery system. The automated data purge process determines files within an e-discovery file system that qualify for purging based on one or more purge policies, locates the files within the file system and automatically purges the data from the file system. Additional embodiments provide for automatically creating log entries that track the details of the purge and automatically generating and communicating alerts/messages that notify concerned parties of the data purge. As such the present invention is able to accurately and automatically purge data from an electronic discovery file system and provide for detailed purge data tracking, as well as, purge notification.

Abstract: An improved method for efficiently and accurately entering detailed data by yes/no entries so that the data is automatically recorded, optionally automatically distributed and optionally transformed into a readable prose report of the data, which is entered by yes/no markings.

Abstract: Techniques for interactive product improvement through the use of variants and data gathering reports in a system that can be updated on the fly are disclosed. In some embodiments, interactive product improvement through the use of variants and data gathering reports in a system that can be updated on the fly includes processing a manifest to determine that a plug-in that includes a plurality of variants is available; randomly selecting a variant for the plug-in to automatically install on a device; and automatically installing the plug-in, in which the randomly selected variant is executed at run-time.

Abstract: Journaling technology, in which a tool, that is separate from a journaling process executed by a server system, causes display of an interface that enables user selection of information derivable from journaling data collected by the journaling process. The tool receives, through the displayed interface, user input selecting desired information derivable from the journaling data collected by the journaling process. Based on the user input, the tool determines one or more commands that are understood by the journaling process and that control the journaling process to retrieve journaling data needed to derive the desired information. The tool controls the journaling process to execute the one or more commands, accesses journaling data retrieved through execution of the one or more commands, and reformats the accessed journaling data into a presentable format of the desired information.

Abstract: An industrial attestation service executing on a cloud platform collects industrial data from multiple levels of an industrial enterprise and identifies subsets of the industrial data that characterize normal operation. In the cloud platform, baselines are generated for diverse aspects of the industrial enterprise based on the identified subsets, where the baselines characterize normal operation. The baselines are used as a reference in connection with device and system attestation. Aspects of the industrial enterprise that deviate from their corresponding baselines are identified in the cloud platform. Attestation reports indicating aspects of the enterprise that have altered relative to their baselines are delivered to client devices via the cloud platform.

Abstract: Systems, methods, and computer-storage media for generating and providing knowledge content to users utilizing a web architecture that integrates information across data silos through a common, flexible data storage schema, such as a star or snowflake schema, are provided. Data from a content graph, a user activity graph, a social graph, and temporal data as it relates to each of the content graph, the social graph and the user activity graph, is stored in a knowledge content database utilizing the star schema. In this way, data from each of these formerly disparate sources may be accessed from a common, extensible application platform utilizing ontologies and pivot table functionality, thus providing smarter, more comprehensive knowledge in response to received user queries.

Abstract: An integrated web-based dealership management system providing accounting, financial reporting, parts and service sales tracking, vehicle and parts inventory, vehicle sales tracking, and customer management software developed on a relational database on a web server and with web application tools.

Abstract: Architecture for slicing data defined on both tabular data sources and in OLAP (online analytical processing) multidimensional data sources by time relative to the current date simultaneously with the same time intelligence (TI) filter on a dashboard page. The architecture employs a simple time period specification (STPS) language used to specify time periods in monitoring server TI filters, and key performance indicator (KPI) filters. The architecture maps all time dimensions to a common set of time aggregations (hierarchy) and to a common calendar.

Abstract: Dynamic sourcing, in which a data request that is associated with a query is received and a parameter of data needed for satisfaction of the query is identified. Parameter information defining data available in at least one cube stored in a cache is accessed and the parameter is compared with the parameter information. Based on comparison results, it is determined whether one or more cubes in the cache include sufficient data to satisfy the query. In response to a determination that one or more cubes include sufficient data to satisfy the query, a response to the data request is generated by executing the query against the one or more cubes. In response to a determination that the cubes do not include sufficient data to satisfy the query, a response to the data request is generated by executing at least a portion of the query against a database system.

Abstract: A method and apparatus for real time datamining. In one embodiment, the method includes receiving a user request for datamining with respect to a value from a report associated with a specific pyramid level, identifying a datamining function to be performed for statistical analysis of lower level data pertaining to the value from the report, identifying dimensions to be used as variables for the statistical analysis, and determining criteria for selecting the lower level data associated with the value from the report. The method may further include submitting a request to one or more source databases, the request reflecting the identified dimensions and the determined criteria, performing the datamining function on a data set received from the source databases, and creating a datamining report based on a result of the performed datamining function.

Abstract: A time-sensitive cube data system is disclosed in which time-sensitive and/or time-series data objects are output in response to a user's operations on a time-sensitive OLAP cube. The time-sensitive and/or time-series data objects output by the time-sensitive cube data system may be displayed to the user in any way that may be advantageous to the user's understanding. The time-series objects output by the time-sensitive cube data system are more helpful than a single snapshot, as a user is able to see data trends over time.

Abstract: A computing device is provided. The computing device includes a user interface configured to receive an input that indicates a user has detected an object of interest in a body of water, a processing device coupled to the user interface, the processing device configured to automatically retrieve, in response to the input, data from at least one data source, and generate a report including the retrieved data, and a means for transmitting data coupled to the processing device and configured to transmit the generated report to a database that includes a plurality of navigational charts, wherein the generated report is used to update at least one of the database and at least one of the plurality of navigational charts to include the object of interest.

Abstract: Data can be categorized into facts, information, hypothesis, and directives. Activities that generate certain categories of data based on other categories of data through the application of knowledge which can be categorized into classifications, assessments, resolutions, and enactments. Activities can be driven by a Classification-Assessment-Resolution-Enactment (CARE) control engine. The CARE control and these categorizations can be used to enhance a multitude of systems, for example diagnostic system, such as through historical record keeping, machine learning, and automation. Such a diagnostic system can include a system that forecasts computing system failures based on the application of knowledge to system vital signs such as thread or stack segment intensity and memory heap usage. These vital signs are facts that can be classified to produce information such as memory leaks, convoy effects, or other problems.

Abstract: A computer augments a business intelligence report. The computer populates a business intelligence report with business data imported from business data storage, and with a stored internet search query. The computer causes the display of the business data of the business intelligence report. The computer also transmits one or both of a term of the stored internet search query or of referenced business data of the stored internet search query to a designated search engine, and receives a contemporary search result from the designated search engine. The computer causes the display of the contemporary search result.

Abstract: Embodiments relate to the implementation of configurable rules that automatically monitor large volumes of data stored in a database. Certain embodiments may leverage the high processing power available to the database engine of an in memory database, in order to perform analysis of large data volumes for compliance and other purposes. Particular embodiments may utilize ABAP Database Connectivity (ADBC) to a HANA in memory database available from SAP AG, in order to implement and execute configurable rules in connection with governance, risk, and compliance (GRC) of large volumes of data stored therein. In various embodiments, an analysis engine in the application layer may rely upon the in memory database engine to execute at least some logic of the configurable rules.

Abstract: A data transformation system includes a schema inference module and an export module. The schema inference module is configured to dynamically create a cumulative schema for objects retrieved from a first data source. Each of the retrieved objects includes (i) data and (ii) metadata describing the data. Dynamically creating the cumulative schema includes, for each object of the retrieved objects, (i) inferring a schema from the object and (ii) selectively updating the cumulative schema to describe the object according to the inferred schema. The export module is configured to output the data of the retrieved objects to a data destination system according to the cumulative schema.

Abstract: A system for knowledge capture and discovery comprises a knowledge repository in which all input data is stored as objects and relationships between objects, and which input data may be stored according to more than one storage format. At least two hierarchical user interfaces provide input mechanisms to obtain the input data, object information concerning the input data and relationship information concerning the input data, thereby permitting end user applications to be developed. A controller receives the input data, object information and relationship information from the at least two hierarchical user interfaces and causes the input data to be stored in the knowledge repository as an object based on the object information and the relationship information.

Abstract: The present subject matter relates to generation of business intelligence reports with navigable reference indicators. The method comprises obtaining information from an information source for providing in a business intelligence report. Further, report parameters are obtained through a user interface, wherein the report parameters include at least notes and indicator parameters. The notes and indicator parameters indicate a plurality of navigable reference indicators to be included in the business intelligence report. The method further comprises mapping the notes and indicator parameters with the obtained information. Based on the mapping, the business intelligence report is generated with the plurality of navigable reference indicators. Further, the plurality of navigable reference indicators provides a forward and backward link between two or more sections of the business intelligence report.

Abstract: There are provided methods and systems to assist interactively a knowledge user/contributor to obtain a straight answer to his/her request for knowledge about one or more subject matters, to mediates a large group of unknown inquirers and present them with distilled stage of knowledge related to a subject matter, or to guide and assist by providing knowledge graphs of bodies of knowledge and navigation tools, individually or socially, to find or discover credible and value significant knowledge based on value significance aspects and measures, at much faster rate than the current traditional method of using search engine directories, social networking, blogging, and bookmarking websites.

Abstract: A hardware and/or software system for calculating attorney ratings. Data associated with an attorney is collected from a variety of sources. The collected data includes information that can be used to assess how well an attorney might handle legal issues. The data is used to determine values of one or more attributes associated with the attorney. One or more ratings may be calculated for the attorney based on the determined attributes. Each rating may be based on a weighted combination of two or more attributes. The ratings may be converted to a format that is more comprehensible to a consumer and presented to consumers of legal services in a variety of different forms. An unbiased assessment of attorneys in the form of a rating enables consumers of legal services to make more accurate and informed decisions when selecting an attorney.

Abstract: A priority for one or more source components can be determined for use in providing metadata for a composite media presentation. For example, an audio component containing or associated with a text transcript may be prioritized based on a gain value, gain differential, and/or frequency range associated with the audio component, with data indicating the priority stored in a computer-readable medium. When transcript or other metadata is provided for the composite media presentation, the priority information can be used to select how (or whether) data or metadata associated with each component will be used in providing transcript metadata for the presentation as a whole.

Abstract: Certain embodiments described herein provide methods and systems that use metadata placeholders to facilitate the association of metadata with recorded media content. Metadata placeholders, for example, may be created prior to recording content and then used at the time of the recording and editing of the actual content. Metadata placeholders can be used to make useful information, including a director's shot plan and other shot attribute information, available on-location to be used and edited by those present at recording and to facilitate the association of the information with the actual recorded content. One exemplary method involves creating a metadata placeholder for a shot, including information about the shot in the metadata fields of the metadata placeholder, and then storing the placeholder's metadata with the content that is recorded for the shot.