Abstract: A method includes: receiving, by a computer device, a user question; extracting, by the computer device and from a knowledge base, multiple answers to the user question; detecting, by the computer device, a first relationship entity that exists in a subset of the multiple answers to the user question; determining, by the computer device, that the first relationship entity is a condition, the condition being a relationship entity that has different values in the subset of the multiple answers; generating, by the computer device, a first follow-up question that solicits a value of the condition; receiving, by the computer device, an answer to the first follow-up question; and determining, by the computer device, a number of the subset of the multiple answers that have a value of the condition that matches the answer to the first follow-up question.

Abstract: A method, system and computer program product for speech recognition using multiple languages includes receiving, by one or more processors, an input from a user, the input includes a sentence in a first language. The one or more processors translate the sentence to a plurality of languages different than the first language, and create vectors associated with the plurality of languages, each vector includes a representation of the sentence in each of the plurality of languages. The one or more processors calculate eigenvectors for each vector associated with a language in the plurality of languages, and based on the calculated eigenvectors, a score is assigned to each of the plurality of languages according to a relevance for determining a meaning of the sentence.

Abstract: A plurality of documents is received. From one or more documents within the plurality, a set of image features is extracted. A document feature repository is generated by storing one or more sets of image features, by document. A document search query is received. The document search query is pre-processed to generate a set of variable document search queries. The document feature repository is searched using the set of variable document search queries. The search results are presented to a user.

Abstract: A method includes: receiving, by a computer device, a user question; extracting, by the computer device and from a knowledge base, multiple answers to the user question; detecting, by the computer device, a first relationship entity that exists in a subset of the multiple answers to the user question; determining, by the computer device, that the first relationship entity is a condition, the condition being a relationship entity that has different values in the subset of the multiple answers; generating, by the computer device, a first follow-up question that solicits a value of the condition; receiving, by the computer device, an answer to the first follow-up question; and determining, by the computer device, a number of the subset of the multiple answers that have a value of the condition that matches the answer to the first follow-up question.

Abstract: A latest status record of an object in a local storage node is obtained as a local status record of the object. The status record includes a name of an operation changing the object, a timestamp of the operation changing the object, a first status flag, and a second status flag. The first status flag indicates whether a synchronization of the object from current object storage node to another object storage node is executed. The second status flag indicates whether a synchronization of the object from another object storage node to the current object storage node is executed. The latest status record of the object is obtained of the object in from a remote object storage node as a remote status record of the object. A synchronization of the object is executed based on the local status record and the remote status record.

Abstract: A method, system and computer program product for speech recognition using multiple languages includes receiving, by one or more processors, an input from a user, the input includes a sentence in a first language. The one or more processors translate the sentence to a plurality of languages different than the first language, and create vectors associated with the plurality of languages, each vector includes a representation of the sentence in each of the plurality of languages. The one or more processors calculate eigenvectors for each vector associated with a language in the plurality of languages, and based on the calculated eigenvectors, a score is assigned to each of the plurality of languages according to a relevance for determining a meaning of the sentence.

Abstract: Automated multi-round task-based conversation with a user is disclosed. In a first round conversation between a user and a data processing system involving first task(s), the data processing system cognitively identifies first entity(ies) and one or more first intent(s), based on a first input statement received by the data processing system from the user. In a subsequent second round conversation between the user and the data processing system involving second task(s) different from the first task(s), the data processing system cognitively identifies second entity(ies) and second intent(s), based on a second input statement received by the data processing system from the user. The data processing system reuses at least one of the first entity(ies) in the second round conversation.

Abstract: A plurality of documents is received. From one or more documents within the plurality, a set of image features is extracted. A document feature repository is generated by storing one or more sets of image features, by document. A document search query is received. The document search query is pre-processed to generate a set of variable document search queries. The document feature repository is searched using the set of variable document search queries. The search results are presented to a user.

Abstract: Automated multi-round task-based conversation with a user is disclosed. In a first round conversation between a user and a data processing system involving first task(s), the data processing system cognitively identifies first entity(ies) and one or more first intent(s), based on a first input statement received by the data processing system from the user. In a subsequent second round conversation between the user and the data processing system involving second task(s) different from the first task(s), the data processing system cognitively identifies second entity(ies) and second intent(s), based on a second input statement received by the data processing system from the user. The data processing system reuses at least one of the first entity(ies) in the second round conversation.

Abstract: A method, computer system, and a computer program product for detecting a session status based on a cookie associated with the session is provided. The present invention may include receiving an access request to a specified location associated with a server computer. The present invention may also include determining that the received access request has the cookie corresponding with the specified location. The present invention may also include receiving a last refresh time from the cookie. The present invention may then include determining the session status based on the retrieved last refresh time, a current request time, a refresh interval, and an overdue value.

Abstract: An example operation may include one or more of identifying partitions associated with a blockchain, identifying a new transaction to be committed to the blockchain, determining a partition code assigned to the new transaction, and committing the new transaction to one of the partitions associated with the partition code.

Abstract: A latest status record of an object in a local storage node is obtained as a local status record of the object. The status record includes a name of an operation changing the object, a timestamp of the operation changing the object, a first status flag, and a second status flag. The first status flag indicates whether a synchronization of the object from current object storage node to another object storage node is executed. The second status flag indicates whether a synchronization of the object from another object storage node to the current object storage node is executed. The latest status record of the object is obtained of the object in from a remote object storage node as a remote status record of the object. A synchronization of the object is executed based on the local status record and the remote status record.

Abstract: The present application discloses a final joint of an immersed tunnel, a prefabrication method and an installation method, wherein the final joint includes two end surfaces connected with installed adjacent tube sections; the two end surfaces are both tilted surfaces, so that the longitudinal profile of the final joint along an installation direction is of an inverted trapezoid structure; and the final joint further may be of a structure with a tube section I and a tube section II which are connected with each other.

Abstract: A latest status record of an object in a local storage node is obtained as a local status record of the object. The status record includes a name of an operation changing the object, a timestamp of the operation changing the object, a first status flag, and a second status flag. The first status flag indicates whether a synchronization of the object from current object storage node to another object storage node is executed. The second status flag indicates whether a synchronization of the object from another object storage node to the current object storage node is executed. The latest status record of the object is obtained of the object in from a remote object storage node as a remote status record of the object. A synchronization of the object is executed based on the local status record and the remote status record.

Abstract: A method and system for storage of an aggregation file and method and system for compression of the same. The method for compressing an aggregation file includes: acquiring the aggregation file to be compressed; copying remaining files in the acquired aggregation file into a new aggregation file based on metadata of a deleted object stored in a deletion file corresponding to the acquired aggregation file; and removing the acquired aggregation file. The present invention also provides a system for compressing an aggregation file and a method and system for storing an aggregation file.

Abstract: An example operation may include one or more of identifying partitions associated with a blockchain, identifying a new transaction to be committed to the blockchain, determining a partition code assigned to the new transaction, and committing the new transaction to one of the partitions associated with the partition code.

Abstract: A method, computer system, and a computer program product for detecting a session status based on a cookie associated with the session is provided. The present invention may include receiving an access request to a specified location associated with a server computer. The present invention may also include determining that the received access request has the cookie corresponding with the specified location. The present invention may also include receiving a last refresh time from the cookie. The present invention may then include determining the session status based on the retrieved last refresh time, a current request time, a refresh interval, and an overdue value.

Abstract: A method, computer system, and a computer program product for detecting a session status based on a cookie associated with the session is provided. The present invention may include receiving an access request to a specified location associated with a server computer. The present invention may also include determining that the received access request has the cookie corresponding with the specified location. The present invention may also include receiving a last refresh time from the cookie. The present invention may then include determining the session status based on the retrieved last refresh time, a current request time, a refresh interval, and an overdue value.

Abstract: A method, computer system, and a computer program product for detecting a session status based on a cookie associated with the session is provided. The present invention may include receiving an access request to a specified location associated with a server computer. The present invention may also include determining that the received access request has the cookie corresponding with the specified location. The present invention may also include receiving a last refresh time from the cookie. The present invention may then include determining the session status based on the retrieved last refresh time, a current request time, a refresh interval, and an overdue value.

Abstract: A method and an apparatus for object storage are disclosed. The method includes, in response to an update to metadata of an object in an object storage region to produce updated metadata of the object, recording a metadata object associated with the object in a metadata change storage region separated from the object storage region. The metadata object includes the updated metadata of the object and pointer information. The pointer information points to a first storage location representing a storage location of the object in the object storage region. The method also includes modifying index information associated with the object to produce modified index information. The modified index information indicates the update to the metadata and a second storage location representing a storage location of the metadata object in the metadata change storage region.