Abstract: Techniques are disclosed for providing a file system interface for an object store intended to support simultaneous access to objects stored in the object store by multiple clients. In accordance with one method, an abstraction of a root directory to a hierarchical namespace for the object store is exposed to clients. The object store is backed by a plurality of physical storage devices housed in or directly attached to the plurality of host computers and internally tracks its stored objects using a flat namespace that maps unique identifiers to the stored objects. The creation of top-level objects appearing as subdirectories of the root directory is enabled, wherein each top-level object represents a separate abstraction of a storage device having a separate namespace that can be organized in accordance with any designated file system.

Abstract: The present invention may receive the question, a plurality of the candidate answers, and a plurality of documents associated with the plurality of candidate answers in the natural language. Then the present invention may tokenize the question, the plurality of the candidate answers, and the plurality of the documents into a corresponding n-gram sequence. The present invention may map n-gram elements from the tokenized question to the n-gram elements of the plurality of the tokenized candidate answers and the plurality of the tokenized documents using the latent token representation technique. The present invention may score the plurality of tokenized candidate answers based on the latent token representation technique. Then, the present invention may determine the precise answer based on the plurality of scored candidate answers.

Abstract: A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.

Abstract: A method includes detecting a plurality of events associated assets of an enterprise system and generating database record structures based on the detected events, each database record structure comprising a first field storing an association key identifying one of the assets, a second field storing a first timestamp associated with a first detected event stored in that database record structure for its identified asset, and at least a third field storing a value associated with a second detected event stored in that database record structure for its identified asset. The method also includes maintaining indexing structures for the first, second and third fields, receiving a query to resolve a temporal association for a queried assets at a specified time, and utilizing the indexing structures to locate a particular one of the database record structures storing the temporal association for the queried asset at the specified time.

Abstract: A document modification event management system for notification of specific edits made to electronic content items, and a method of determining the relevance of the modification. As an example, a first user may make an edit to a portion of a document. A second user may receive a notification of this edit if the system determines the edit was relevant to the second user. In addition, during review of an electronic content item, a reader may select a specific portion of content and view the modifications that have occurred to only the selected portion. These tools can provide collaborative document users the ability to more readily monitor document development and stay up-to-date with changes that are important to them.

Abstract: A computer-implemented system and program product for providing a modification history of digital information associated with a project is disclosed. A local agent runs at a computing entity at least temporarily associated with a user. A list of recognition tags is provided. A determination is made by the local agent whether digital information is associated with a project based on the list of recognition tags in order to establish project-relevant information. One or more additional recognition tags are automatically extracted out of the project-relevant information. The one or more additional recognition tags are added to the list of recognition tags. The project-relevant information or information derived from the project-relevant information is stored in a data repository. Modification history information is created regarding the project-relevant information.

Abstract: Various embodiments are provided for implementing intelligent backup plan creation by a processor in a computing environment. One or more files or directories managed by one or more file hosting services, cloud computing services, or a combination thereof may be identified from among a plurality of files or directories associated with a backup plan. A backup operation may be performed according to the backup plan by only referencing as opposed to including entire content of the one or more files or directories that are managed by the one or more file hosting services, the cloud computing services, or a combination thereof.

Abstract: According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising receiving a node group at an integration module, wherein the node group includes one or more requests for internal data and external data, wherein internal data is data stored in an internal datastore and external data is data stored outside of the internal data store; identifying in a configuration data, one or more meta-data nodes from the node group, wherein each meta-data node indicates a request for external data; retrieving the internal data via execution of an internal data query; determining an order of execution for the one or more meta-data nodes; executing a first meta-data node based on the determined order to generate a first result; ingesting the first result into a semantic datastore; and executing a query to generate a final result, wherein the query includes the retrieved internal data and the ingested first result. Numerous other aspects are provided.

Abstract: Examples described herein may perform various operations based on mood congruency. An example method involves accessing, from a database, a first mood vector that describes first media data and specifies an association between a first value and a first mood, accessing, from the database, a second mood vector that describes a second media data and specifies an association between a second value and a second mood, retrieving a first score that represents congruency between the first and second moods, the first score being retrieved from a data structure that correlates the first and second moods, using a processor, generating a second score that represents congruency between the first and second mood vectors, the generating the second score being based on the accessed first and second values and the retrieved first score, and, based on at least the generated second score, providing an indicator to a module.

Abstract: One embodiment provides a method, including: receiving a query from a user requesting assistance regarding instructions for performing a task; identifying, within steps of the instructions, words that can be visualized, wherein the identifying comprises identifying relationships between terms within the query to generate a step query; retrieving, for each of the steps, a plurality of images representing the identified words; identifying at least one object occurring within the plurality of images corresponding to more than one of the steps; selecting an image for each of the steps of the instructions, wherein the selecting an image comprises selecting an image for each step such that the identified at least one object is represented similarly in each selected image including the identified at least one object; and presenting the instructions as visualized instructions by presenting the selected images for each of the steps in order.

Abstract: Systems and methods are provided for feedback-driven provision of information in relation to a plurality of information resources.

Abstract: Methods and systems for index lifecycle management are provided. Exemplary methods include: receiving an ILM policy; determining a first condition and a first action for a first phase using the ILM policy; performing the first action for the first phase when the first condition is met; transition from the first phase to a second phase; determining a second condition and a second action for the second phase using the ILM policy; performing the second action for the second phase when the second condition is met; transition from the second phase to a third phase; determining a third condition and a third action for the third phase using the ILM policy; performing the third action for the third phase when the third condition is met; transition from the third phase to a fourth phase; and deleting the index during the third phase.

Abstract: Taking as input a group of text pairs for learning in which each pair is constituted with a first text for learning and a second text for learning that serves as an answer when a question is made with the first text for learning, a query expansion model is learned so as to generate a text serving as an expanded query for a text serving as a query.

Abstract: A method and system for facilitating content conversion is disclosed. A user request generated from a user device of a user to facilitate at least one output content based on one or more user preferences is received. At least one input content is received from at least one content source based on the one or more user preferences. Thereafter, the at least one output content is generated from the at least one input content based on one or more content characteristics. The one or more content characteristics are accessed from a plurality of content based library files for conversion of the at least one input content into the at least one output content. The at least one output content is facilitated on a content output device.

Abstract: In a search apparatus, a processing unit obtains input data and output data and stores these data in a storage unit. The processing unit classifies a plurality of data conversion methods into a plurality of groups. With respect to each group, the processing unit produces intermediate data from the input data using the data conversion methods belonging to the group, and evaluates the intermediate data using an evaluation function corresponding to the group, in order to thereby search for a combination of data conversion methods within the group. The processing unit determines a combination of data conversion methods that is able to convert the input data into the output data on the basis of the search results obtained for the plurality of groups.

Abstract: A temporary page is allocated in which pages are loaded into main memory and having associated physical disk storage. The temporary page is also flagged as being temporary. Subsequently, a savepoint is initiated for the database so that, during the savepoint, the temporary page can be modified without acquiring a consistent change while preventing other non-temporary pages from being modified. Later, the savepoint can be finalized to enable the database to be rolled back to a point in time corresponding to the savepoint as part of a recovery process.

Abstract: A training set is created via creating adjacent classified substrings by using character classes to replace corresponding characters in adjacent substrings in each training character string, and associating each pair of adjacent classified substrings and each pair of adjacent substrings with corresponding labels indicating whether corresponding pairs include any token boundary. The system splits input character string into beginning and ending parts and creates classified beginning part by replacing beginning part character with corresponding class and classified ending part by replacing ending part character with corresponding class. The machine-learning model determines probability of token identification, based on training set to determine count of instances that classified beginning part is paired with classified ending part and count of corresponding labels that indicate inclusion of any token boundary.

Abstract: A device that includes an enterprise data indexing engine (EDIE) configured to receive a document comprising text and to convert the document into a markup language code. The EDIE is further configured to identify tags within the markup language code and to parse the markup language code into logical sections based on the tags. The EDIE is further configured to identify sentences within each of the logical sections and to link the identified sentences with a classification type. The EDIE is further configured to use the classified sentences to train a custom machine learning model.

Abstract: Sub-queries for a query are ordered. The query is for retrieving a data item of a data graph. The data graph stores representations of the data item. Each representation stores information represented by the data item in a different manner or way. Each sub-query corresponds to a different representation in which the data graph stores the data item. The sub-queries are ordered in an ordered list according to likelihood that evaluation thereof will yield an appropriate or selected representation of the data item that is correct for the query and that correctly answers the query. The sub-queries within the ordered list are evaluated on a sub-query by sub-query basis, until the data item has been retrieved.

Abstract: The system and methods described generate a content playlist by receiving, from a content device, a request for a content playlist. The system obtains a geographic route associated with the content device and the time period and determines a bandwidth profile associated with the geographic route, the content device, and the time period. The system then identifies a plurality of candidate content items based on a user profile associated with the content device and determines, for each of the plurality of candidate content items, an interest profile representing the correlation of segments in the respective candidate content item and the user profile. The system selects a plurality of the selected content items from the plurality of candidate content items for inclusion in the content playlist based on the interest profile for the respective candidate content item and the determined bandwidth profile and provides the content playlist to the content device.