Abstract: A method for generating a preview associated with a media file is provided. The method may include receiving a plurality of social comments associated with a plurality of frames corresponding to the media file. The method may also include storing the received plurality of social comments in a repository, whereby the received plurality of social comments is stored with a frame marker. The method may further include analyzing the stored plurality of social comments. The method may additionally include classifying the analyzed plurality of social comments according to at least one sentiment and at least one keyword in the media file.

Abstract: Dynamically generating a model for a report includes presenting a user with source data in a unitary structure including rows and columns of data. Selections received from the user include first, second and third ones of the columns. A nesting structure of the second column data relative to the first column data indicates the second column data is of a dimension that is a level of the first column data. A lack of nesting structure of the third column data relative to the first column data indicates the third column data is of a dimension that is separate from a dimension of the first column data. In response to receiving the user selections, a computer system builder module generates a snowflake-schema-based, analytic processing model, wherein for the selected first, second and third columns the builder module automatically creates respective first, second and third tables and table mapping structures.

Abstract: A method, a computer program product, and a computer system for identifying user preferences and changing settings of a device based on natural language processing. One or more programs running in background on the device capture an input of natural language from a user of the device, match the input of the natural language to a user frustration, map the user frustration to one or more solutions that make one or more changes of settings on the device, apply the one or more changes of settings to set user preference settings on the device, and store the user preference settings in a common store for the user.

Abstract: Techniques are described for modeling information from a data source. In one example, a method for modeling information from a data source includes comparing, with one or more computing devices, a data item heading from the data source with concept keywords in a concept library, the concept library comprising a plurality of concepts and one or more of the concept keywords in at least one language associated with each of one or more of the concepts. The method further includes identifying, with one or more computing devices, one or more matches between the data item heading and one or more concept keywords associated with a particular concept from among the concepts comprised in the concept library. The method further includes identifying, with one or more computing devices, the data item heading as being associated with the particular concept.

Abstract: Dynamically generating a model for a report includes presenting a user with source data by a source application, wherein the source data is available for producing a report. Selections are received from the user indicating portions of the source data to potentially include in the report. In response to receiving the user selections, a computer system builder module generates an analytic processing model for the user selected portions of the source data.

Abstract: A system and method for assigning concepts to sets of values. A dataset is selected, wherein the dataset includes a plurality of records, each record including a plurality of named fields, wherein each record includes each of the named fields. Each named field is assigned to a category and a concept is selected by identifying one or more named fields that, when combined, provide a unique value for each record. In some embodiments, the data is organized as a table, wherein the records are rows and the named fields are columns.

Abstract: Compounds having a structure of Formula I and compositions comprising these compounds are provided. Uses of such compounds and compositions are provided for treatment or prophylaxis of viral infection. In particular, compounds and compositions may be for use in the treatment or prophylaxis of viral influenza.

Abstract: A method, system and computer program product for evaluating the interestingness of correlated data. The fields of a dataset are classified by tagging the fields in terms of real world concepts. A correlation analysis on the dataset is performed to generate a correlation coefficient for each pair of fields of correlated data items. An “ontological distance” between the tagged concepts for each pair of fields of correlated data items represented as nodes in the ontology is determined. A score is generated indicating an interestingness of correlation for each pair of fields of correlated data items based on the correlation coefficient and the ontological distance between the tagged concepts for each pair of fields of correlated data items. By utilizing the ontological distance with the correlation analysis to determine the interestingness of correlation, correlations that may not be obvious to users and unexpectedly correlated may be identified.

Abstract: Techniques are described for data model augmentation. In one example, techniques include receiving a data contribution to a data model, receiving meta information about the data contribution, mapping the received data contribution and received meta information to the data model; and dynamically generating an augmentation of the data model based on the mapping.

Abstract: A system and method for assigning concepts to sets of values. Data is received, wherein the data is organized as a plurality of named fields and as two or more sets of values associated with the named fields, wherein each named field is assigned to a category. For each category, determine whether there is at least one identifier field for that category, wherein each identifier field is a named field that acts as an identifier for that category, and identify identifier fields, if any, for each category that have a unique value in the identifier field for that category for each set of values. Then select one of the categories as a concept representing the sets of values. In some embodiments, the data is organized as a table, wherein the named fields are columns and the sets of values are rows.

Abstract: Techniques are described for modeling information from a data source. In one example, a method for modeling information from a data source includes comparing, with one or more computing devices, a data item heading from the data source with concept keywords in a concept library, the concept library comprising a plurality of concepts and one or more of the concept keywords in at least one language associated with each of one or more of the concepts. The method further includes identifying, with one or more computing devices, one or more matches between the data item heading and one or more concept keywords associated with a particular concept from among the concepts comprised in the concept library. The method further includes identifying, with one or more computing devices, the data item heading as being associated with the particular concept.

Abstract: A system and method for assigning concepts to sets of values. Data is received, wherein the data is organized as a plurality of named fields and as two or more sets of values associated with the named fields, wherein each named field is assigned to a category. For each category, determine whether there is at least one identifier field for that category, wherein each identifier field is a named field that acts as an identifier for that category, and identify identifier fields, if any, for each category that have a unique value in the identifier field for that category for each set of values. Then select one of the categories as a concept representing the sets of values. In some embodiments, the data is organized as a table, wherein the named fields are columns and the sets of values are rows.

Abstract: A system for modeling tabular data containing column and pivot table formats. Tabular data containing categorical and/or metric data is received and the metric data is determined. A group of identified columns are grouped comprising one or more adjacent columns containing similar metric data. Adjacent columns with unique metric types are not grouped. A number of columns (n) and rows (m) are identified. A table is generated comprising two sub-tables. A first sub-table is populated by metric data of ungrouped columns, repeated n times, containing ungrouped column category labels. A second sub-table with two columns, populated with grouped column category labels, repeated m times, and metric data from the grouped columns respectively. Category labels of the second table are determined via semantic analysis. The generated table, containing (n×m)+1 rows, is communicated to a model library.

Abstract: A mechanism is provided in a data processing system for statistical clustering inferred from natural language to drive relevant analysis. The mechanism receives a natural language text from a user and processes the natural language text to identify an entity of interest and a focus of statistical analysis. The mechanism performs a follow-up question and answer conversation with the user to receiving from the user one or more driving factor values for the one or more driving factors. The mechanism determines at least one cluster of entities matching the one or more driving factor values and generates at least one data visualization of the data in the corpus for the focus of statistical analysis having a scope that is narrowed based on the at least one cluster of entities matching the one or more driving factor values.

Abstract: Identifying and visualizing geographic data includes obtaining a set of data including candidate geographic data elements. Metrics are determined based on two or more of: a best parent for the candidate geographic data elements; additional concepts associated with the candidate geographic data elements; and an average distance between the candidate geographic data elements. Then, the candidate geographic data elements are identified as geographic based on the metrics and a map is generated displaying the candidate geographic data elements identified as geographic.

Abstract: A system for modeling tabular data containing column and pivot table formats. Tabular data containing categorical and/or metric data is received and the metric data is determined. A group of identified columns are grouped comprising one or more adjacent columns containing similar metric data. Adjacent columns with unique metric types are not grouped. A number of columns (n) and rows (m) are identified. A table is generated comprising two sub-tables. A first sub-table is populated by metric data of ungrouped columns, repeated n times, containing ungrouped column category labels. A second sub-table with two columns, populated with grouped column category labels, repeated m times, and metric data from the grouped columns respectively. Category labels of the second table are determined via semantic analysis. The generated table, containing (n×m)+1 rows, is communicated to a model library.

Abstract: Identifying and visualizing geographic data includes obtaining a set of data including candidate geographic data elements. Metrics are determined based on two or more of: a best parent for the candidate geographic data elements; additional concepts associated with the candidate geographic data elements; and an average distance between the candidate geographic data elements. Then, the candidate geographic data elements are identified as geographic based on the metrics and a map is generated displaying the candidate geographic data elements identified as geographic.

Abstract: Compounds having a structure of Formula I and compositions comprising these compounds are provided. Uses of such compounds and compositions are provided for treatment or prophylaxis of viral infection. In particular, compounds and compositions may be for use in the treatment or prophylaxis of viral influenza.

Abstract: In an approach to data protection and sharing, a computer retrieves social network data of a first user, and obtains a relationship grade between the first user and a second user, and a level associated with the personal data of the first user. Then it is determined whether the second user qualifies to access the personal data of the first user, based, at least in part, on the relationship grade and the level associated with the personal data. If it is determined that the second user qualifies to access the personal data of the first user, the second user is permitted to access the personal data.

Abstract: Embodiments of the present invention provide systems and methods for visualizing and querying data. Data subsets within an original table are examined. Values within the data subsets are extracted. Based on the extracted values, a new table is generated. The data contents of the original table differ from the data contents of the new table. Thus, the resulting visualization of the original table differs from the resulting visualization of the new table.