Emc IP Holding Company LLC

Microsoft Technology Licensing, LLC

Emc Corporation

Karin Breitman

Rodrigo Dias Arruda Senra

Rômulo Teixeira De Abreu Pinho

Adriana Bechara Prado

Jaumir Valença Da Silveira Junior

Angelo Ernani Maia Ciarlini

Percy E Rivera Salas

Evelyne Viegas

Victor Bursztyn

Methods and apparatus are provided for automatically transcoding media files. An exemplary method comprises obtaining an input media file having an input file format and encoded with a codec of a first type; automatically determining output media file formats for transcoding the input media file based on statistics of previously transcoded files and statistics of trending media formats for previously downloaded files; transcoding the input media file into transcoded output media files using a codec of a second type to obtain the determined output media file formats; and generating metadata for each of said plurality of transcoded output media files, wherein said metadata is stored in memory as a media catalogue separately from said one or more transcoded output media files.

Methods and apparatus for automatic media file transcoding

Person-centric multi-channel opinion mining is performed in a single data repository, such as a data lake. An exemplary method comprises obtaining multi-channel heterogeneous data from a plurality of channels; identifying entities that are targets of opinion information across the plurality of channels; extracting a plurality of user identities from the plurality of channels; aligning the plurality of extracted user identities across the plurality of channels to link common user identities; identifying the entities that are targets of the opinion information of the extracted user identities; linking opinion information of the extracted user identities with a user identity associated with an opinion holder that expressed the opinion information; determining whether the opinion information comprises a positive or negative opinion; and providing a summary of the opinion information of a given opinion holder. Sentiment polarity classification algorithms optionally determine whether opinion information comprises a positive or negative opinion and assign a polarity score. An influencer score of the opinion holder is optionally assigned to the opinion information.

Methods and apparatus for person-centric multichannel opinion mining in data lakes

Methods and apparatus are provided for integrating a plurality of different database types in a semantic multi-database data lake. An exemplary method comprises providing a plurality of databases having different database types; translating ontology definition language database commands obtained from a user into a plurality of data definition language and/or data manipulation language commands supported by the different database types in order to replicate data from the user to each of the different database types; obtaining a query specified in a query language of a given database; and delegating the query to the given database. A plurality of cluster gateways optionally manage a corresponding plurality of clusters of database instances and wherein queries are delegated to a given database instance by delegating the queries to the appropriate cluster gateway. Dark data that was not queried by any supported query language in a predefined period of time can be detected.

Methods and apparatus for a semantic multi-database data lake

Methods and apparatus are provided for automatically transcoding media files. An exemplary method comprises obtaining an input media file having an input file format and encoded with a codec of a first type; automatically determining output media file formats for transcoding the input media file based on statistics of previously transcoded files and statistics of trending media formats for previously downloaded files; and transcoding the input media file into transcoded output media files using a codec of a second type to obtain the determined output media file formats. The output media file formats can be automatically determined using a weighting scheme. Transcoding algorithms are optionally automatically selected based on transcoding algorithms previously used to transcode proximally similar files as the input media file. Input files can be dynamically prioritized for transcoding based on a complexity rating of the determined output media file formats and a ranking of selected transcoding algorithms Metadata is optionally generated for transcoded output media files and stored in the transcoded output media files and/or a separate media catalogue.

Scale-out network attached storage (NAS) file systems can employ an Ingest, Transform, Store (ITS) framework for data processing. In one aspect, the ITS-NAS file systems comprise NAS nodes and high performance computing (HPC) nodes that operate under a common operating system and that are coupled to each other via a common high-bandwidth, low-latency private network infrastructure. The NAS nodes can present data to the HPC nodes as well as dispatch the execution of transform services to the HPC nodes. The ITS-NAS file systems enable massive parallelization of operations on files, for example, complex distributed operations on large files and/or simple parallel operations on large collections of small files, all within the same hardware and software architecture.

Architecture for a converged compute and file system within network-attached storage clusters

Described herein are technologies pertaining to automatically summarizing contents of a dataset and visualizing a summary of the dataset together with summaries of other datasets. A schema that defines the structure and content of a dataset is received, and pre-processing is undertaken on the schema to generate an enriched schema. Portions of the enriched schema are selected to generate a semantic summary of the schema, which is included with at least one exemplary entry of the dataset to generate a summary of the dataset.

Semantic search interface for data collections

A hot folder mechanism is employed to provide a truly integrated architecture for easy-to-use, easy-to-deploy scale-out computation and scale-out storage. A folder of an Ingest, Transform, Store (ITS)-Network attached storage (NAS) system can be configured as 'hot.' The configured hot folder can then detect changes on its content, analyze such content, perform transform services on the content, and output the computation results as files on other specified output folders. In one aspect, file system nodes of the ITS-NAS can present the content to high performance computing (HPC) compute nodes of the ITS-NAS as well as to dispatch the execution of transform services to the HPC compute nodes.

Systems and methods for file triggers in a converged compute and file system

Methods and apparatus are provided for integrating heterogeneous multi-channel data using ontologies. An exemplary method for integrating multi-channel heterogeneous data comprises obtaining a domain-specific mediator ontology; identifying a plurality of target channels; identifying entities pertinent to each of the plurality of channels; describing the entities pertinent to each of the plurality of channels using an ontology description language to generate a plurality of channel specific ontologies; aligning the channel specific ontologies with the domain-specific mediator ontology to generate aligned channel specific and domain-specific mediator ontologies; extracting a plurality of user identities from the plurality of channels; aligning the plurality of extracted user identities across the plurality of channels to link common user identities; generating at least one user profile for at least one of the aligned user identities; and correlating at least one user profile with the aligned channel specific and domain-specific mediator ontologies to generate an omni-channel ontology that integrates the multi-channel heterogeneous data.

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Rio de Janeiro, Brazil

Karin Breitman