Abstract: In an approach to determining an introduction of a user in a meeting, one or more computer processors retrieve a document containing information associated with a user, wherein the document includes one or more fragments describing the user. The one or more computer processors determine an audience of a meeting associated with the user. The one or more computer processors determine a description of the meeting. The one or more computer processors prioritize one or more of the one or more fragments, based, at least in part, on the audience of the meeting and on the description of the meeting. The one or more computer processors select one or more of the one or more fragments for the introduction of the user in the meeting, based, at least in part, on the prioritization of the one or more fragments.

Abstract: Search engine method includes: receiving a user query request input; searching candidate results matching with the query request; determining a semantic relatedness between the query request and each candidate result based on a click-escape model; sorting the candidate results according to the semantic relativity. The click-escape model has an escape dictionary, a non-escape dictionary, or a combination thereof. Sorting candidate results of a search in accordance with a semantic relatedness can enhance the sorting effect of the searched results, avoid searched results which do not match the user's query appearing in the forefront of the searched result list, and guarantee a good user experience.

Abstract: A computer-implemented method for processing information in a big data environment. A target query is received. The target query is run against a catalog to obtain desired fields for search and to filter for specific targets from which data will be extracted. Responsive to the query, particular data is extracted from the specific targets. Extracting includes defining a query pack comprising a configuration file and one or more files containing queries to execute on each target in the specific targets, the configuration file containing a section for each of the one or more files to customize configurations for each of the one or more files, and particular connection information defining relationships among the specific targets. One ingestion daemon is executed for every file of the one or more files in the query pack to produce results. The results are processed in a distributed parallel computing environment.

Abstract: A method for performing crowd-sourced native application crawling is disclosed. The method includes determining a list of installed native applications installed on a user device and determining whether a set of crawling conditions are met. The method includes generating a work request in response to the set of crawling conditions being met by the user device and transmitting the work request to a content acquisition server. The work request includes the list of installed native applications. The method includes receiving a crawling task including an application access mechanism corresponding to a state of a native application. The method include launching the native application and setting the state of the native application based on the application access mechanism. The native application issues a content request to a content server. The method further includes receiving the content from the content server and transmitting the content to the content acquisition server.

Abstract: Described are methods, systems and computer readable media for computer data distribution architecture connecting an update propagation graph through multiple remote query processors.

Abstract: Provided is an information processing device including an application execution unit configured to perform a record data generation process according to a first file system, a second medium compatible file system unit configured to perform a data recording process according to a second file system different from the first file system, and a file conversion processing unit configured to perform a conversion process between a file compatible with the first file system and a file compatible with the second file system.

Abstract: A method and system for detection of common patterns within unstructured data elements. The method includes searching a plurality of unstructured data elements extracted from big data sources to identify a plurality of patches; extracting the identified plurality of patches; generating, by a signature generator system, at least one signature for each patch; identifying common patterns among the at least one generated signature; clustering the signatures having the identified common patterns; and correlating the generated clusters to identify associations between the respective identified common patterns.

Abstract: A compatibility of a computational analysis and a data set is automatically determined by comparing data set attribute data with attribute data of the computational analysis. Other computational analyses may also be evaluated for compatibility with the data set. Compatible analyses may be performed on the data set, and selected views of the results may be presented. Selection of the analyses to be performed, the views, and/or the contents and format of the views may be determined based result data attributes and computational analysis attribute data as well as other considerations, such as resources required and multiplicity. As computational analysis attributes are based on a set of rules or statements determined from heuristics of respective computational analyses, evaluation of the compatibility between various analyses and the data set is accordingly determined based on the heuristic-based rules or statements. Computational analyses may include visualizations and heavyweight computational analyses.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a query provided from a user device, and determining that the query implicitly references some entity, and in response: obtaining an approximate location and an approximate orientation of the user device, obtaining a set of entities including one or more entities, each entity in the set of entities being at least partially within a range that is based on the approximate location and that includes an extended portion based on the approximate orientation, selecting an entity from the set of entities, and providing a revised query based on the query and the entity, the revised query explicitly referencing the entity.

Abstract: A database of technical support calls, or queries received for technical support, is used to identify popular topics for an entity such as a company. The topics may be issues related to products provided by the company such as software. Relevant information is collected for each topic from internal sources (such as knowledge bases or other technical publications) and external sources (such as webpages or online forums). The information is used to create topic pages for each topic that are meant to provide information related to the topic, as well as guide users to resources where additional information for the topic can be obtained. The generated topic pages are encoded using a schema that is recognizable by search engines so that the contents of the topics pages can be presented by the search engines directly in a search results page.

Abstract: Example embodiments disclosed hereto relate to generating a regressive information object. Information is encoded into an information object at states in a workflow. Information is encoded such that information encoded in a last state in the workflow is readable by an information object reader and information encoded in states prior to the last state is not readable by the information object reader.

Abstract: Embodiments of the invention provide an approach for creating, evolving and using a weighted semantic graph to manage and potentially identify certain information assets within an enterprise. The semantic graph may be generated by monitoring users navigating through search results which provide a set of information assets responsive to a search query. By recording the navigation path taken by many users, relationships between information assets may be identified. Further, once generated, the semantic graph may be used to present users with an indication of related information assets as part of the search results. Further still, the semantic graph may also be used to identify information assets “hubs” as well as information assets that may provide low utility to individuals within the enterprise.

Abstract: A computing system is in communication with vendor computer systems and client computer systems. A computing system processor is configured to transmit sets files from the client computer systems to the vendor computer systems, provide access to materials relevant to transmitted sets of files to client computer systems and vendor computer systems, determine a likelihood of a certain outcome from file processing, and select vendors based on factors including the determined likelihood of a certain outcome.

Abstract: Methods and apparatus to transform attribute data about assets in a source system data model into attribute data about the same assets in a target system data model. The first step is to extract the necessary attribute data from attribute data collected about inventory assets of a business entity needed to populate the attributes in objects representing those inventory assets in a target system data model. Transformation rules are written which are designed to make all conversions necessary in semantics, units of measure, etc. to transform the source system attribute data into attribute data for the target system which has the proper data format. These transformation rules are executed on a computer on the extracted attribute data and the transformed attribute data is stored in an ER model. In the preferred embodiment, the transformation rules are object-oriented in that transformation rules for subtypes can be inherited from their parent types or classes.

Abstract: This disclosure describes systems, methods, and computer-readable media related to online advertisement campaign recommendations. A server may obtain data from an events datastore indicative of missing time slices from a partition of events data. The server may obtain first events data for the missing time slices. The server may identify redundant events data in the first events data that is redundant to second events data stored in the events datastore. The server may delete the redundant events data from the first events data to generate a modified first events data. The server may transmit the modified first events data to the events datastore.

Abstract: A system and method for orchestrating a table operation of data with a graph operation of the data using columnar stores. The orchestration includes storing vertices and edges as collections of tables by type, and supporting the columnar stores with different storage characteristics. The techniques may also include a graph query optimizer that combines chained operators of a graph query; and/or the graph query executed via an in-memory distributed query execution engine.

Abstract: Various embodiments for preserving data redundancy in a data deduplication system in a computing environment are provided. In one embodiment, a method for such preservation is disclosed in a multi-device file system. At least one virtual device out of a volume set is designated as not subject to a deduplication operation.

Abstract: A system and method adapted to facilitate efficient sorting and displaying of data in a table. An example method includes displaying a table with a first portion of data and a second portion of data; simultaneously applying a first sort rule to the first portion of data (primary database object(s)) and a second sort rule to the second portion of data (secondary database object(s)) in response to user selection of a sort option; and illustrating sorted data via the table, wherein the first sort rule is adapted to cause the first portion of data to appear in one or more predetermined locations in the table relative to the second portion of data. The second portion of data is sorted according to the second sort rule. In a more specific embodiment, primary database objects are sorted via the first sort rule and are not subject to the second sort rule.

Abstract: Apparatuses, systems, methods, and computer program products are disclosed for creating an application-aware snapshot of a storage volume. A network association module is configured to determine an owner for a storage volume. A requester module is configured to request a snapshot operation for a storage volume. A snapshot operation may be initiated from a storage appliance. A provider module is configured to create a snapshot of data of a storage volume in a storage appliance in response to a determined owner quiescing activity for the storage volume.

Abstract: Disclosed herein are system and method embodiments for generating a paged inverted index. An embodiment is generated by storing a first data structure and the second data structure in a plurality of pages, where the plurality of pages are stored in the one or more memories. The first data structure is stored in the plurality of pages and includes a plurality of value identifiers, where a value identifier corresponds to an offset. The second data structure stored in the plurality of pages includes a plurality of row positions, wherein a row position is at a location that corresponds to the offset in the first data structure and identifies a position of row in a table that stores data associated with the value ID.