A method and system for intelligent support bundle collection. A support bundle may refer to a set of log files pertinent to components of a computing system, which may generally be created when issues or problems plaguing the computing system need to be triaged by technical support teams. Further, at least presently and for any complex computing system, a support bundle may include a plethora of log files that are not all necessary for assessing and/or resolving the aforementioned issues or problems. Accordingly, to reduce the set of log files, as well as minimize the storage space, processing time, and network bandwidth associated with handling the log files, the disclosed method and system propose intelligently selecting a subset of the log files relevant to a given user-defined issue or problem. Selection of the subset of log files may employ natural language processing (NLP) based machine learning, as well as runtime rules to collect dynamic, problem-specific log files.

This invention provides a method for ranking contextual data of a plurality of data packages in a Knowledge Management System (KMS) as a computer system configured to store information on the maintenance of an apparatus, wherein each data package of the plurality of data packages includes a data part relating to maintenance of the apparatus, a first metadata part for the data part having a first metadata value and representing a first contextual information type and a second metadata part for the data part having a second metadata value and representing a second contextual information type, the method comprising the steps of: receiving a first and second relevance value for the first and second contextual information type respectively for a first data package, wherein the first and second relevance values represent the relevance of the first and second contextual information types of the first data part to the maintenance of the apparatus; receiving a third and fourth relevance value for the first and second contextual information type respectively for a second data package, wherein the third and fourth relevance values represent the relevance of the first and second contextual information types of the second data part to the maintenance of the apparatus; determining a first ranking value for the first contextual information type based on the first and third relevance values; determining a second ranking value for the second contextual information type based on the second and fourth relevance values; and storing the first and second ranking values in the KMS. The present invention also provides a method for retrieving data packages, including the steps of: receiving a data package request including a first metadata value for the first contextual information type and a second metadata value for the second contextual information type; and retrieving a first data package of the plurality of data packages based on at least one of the first and second metadata values of the data package request, the first and second ranking values, and at least one of the first and second metadata values of each data package of the plurality of data packages.

An information processing device (100) has: an acquisition unit (131) which acquires, from a second terminal device (50) of a second user, an encryption search index, which is a search keyword encrypted by searchable encryption using a shared key and a verification key acquired from a first terminal device (10) of a first user who owns a document, and an identifier of the second user who searches for the document; a test unit (132) which checks a database, in which the encrypted-document index of an encrypted keyword of the document generated in the first terminal device (10), an encrypted document associated with the encrypted-document index, and a test key and a re-encryption key corresponding to the second user are registered, and tests the encryption search index by using the test key based on the identifier of the second user; and a generation unit (133, 134) which encrypts the encrypted document, which has been searched for by using the tested encryption search index, by the re-encryption key based on the identifier of the second user to generate a search result.

Technologies and techniques for supporting an autonomous vehicle wherein objects in surroundings of the vehicle are captured by a sensor system, and wherein objects are identified and recognized by object recognition from captured data relating to the surroundings. When an unknown object is present in the surroundings, the unknown object if found in at least one database, typical properties of the unknown object are determined on the basis of the search result, a recommended course of action is derived for the autonomous vehicle on the basis of the typical properties of the unknown object, and the derived recommended course of action are provided to the vehicle.

Metadata of a storage object is managed. An example method for managing metadata of a storage object comprises: in response to receiving a request to access metadata of a storage object, obtaining a first identifier of the storage object from the request; determining, based on the first identifier, a second identifier of a page where the metadata is located, an address of the page and the second identifier being stored in association in an entry of a page table distributed among a plurality of storage devices with different access speeds; determining, from the plurality of storage devices, a storage device storing the entry; and obtaining the address of the page by accessing the entry from the storage device, so as to access the metadata from the page.

Metadata of a storage object is managed. An example method for managing metadata of a storage object comprises: in response to receiving a request to access metadata of a storage object, obtaining a first identifier of the storage object from the request; determining, based on the first identifier, a second identifier of a page where the metadata is located, an address of the page and the second identifier being stored in association in an entry of a page table distributed among a plurality of storage devices with different access speeds; determining, from the plurality of storage devices, a storage device storing the entry; and obtaining the address of the page by accessing the entry from the storage device, so as to access the metadata from the page.

Methods and devices are provided in which one or more identifiers are registered based on a user setting made by a user of an electronic device. Each of the one or more identifiers corresponds to at least one activated service module. A registered identifier, of the one or more identifiers, is extracted from a user command input through an input device. The user command is changed using a basic identifier preset for a first service module corresponding to the registered identifier. The changed user command is transmitted to a server configured to control execution of the first service module. A result of executing the changed user command based on the first service module is received from the server.

Computing systems of a multi-tenant trusted domain collect metadata describing data stored in data sources of a set of tenant trusted domains. The computing systems of the multi-tenant trusted domain use the metadata to process natural language questions based on data stored in data sources of a tenant trusted domain. The computing systems of the multi-tenant trusted domain identify a set of data sources of the tenant trusted domain that are relevant for processing the natural language question and generate an execution plan for answering the natural language question. The computing systems of the multi-tenant trusted domain send the execution plan to one or more computing systems of the tenant trusted domain. The computing systems of the tenant trusted domain execute the execution plan and send the result of executing the execution plan to a client device that sent the natural language question.

A method for removing text noise according to an embodiment of the present disclosure includes inspecting quality of the text, correcting the text based on a result of inspection; selecting a noise candidate based on each type of sentences included in the corrected text, wherein the noise candidate is selected for each sentence included in the text and removing at least some of the sentences included in the noise candidate based on the purpose of the text.

A method for removing text noise according to an embodiment of the present disclosure includes inspecting quality of the text, correcting the text based on a result of inspection; selecting a noise candidate based on each type of sentences included in the corrected text, wherein the noise candidate is selected for each sentence included in the text and removing at least some of the sentences included in the noise candidate based on the purpose of the text.