Abstract: An information searching system 1 includes a conversation-history storage unit T11 configured to store conversation histories for inquiries, a conversation-history acquisition unit P132 configured to acquire, from the conversation-history storage unit T11, a predetermined conversation history corresponding to a search query based on input information, a search-query amendment unit P114 configured to amend the search query on the basis of the predetermined conversation history, and a searching unit P115 configured to search, on the basis of the amended search query, the conversation histories stored in the conversation-history storage unit T11 and output a search result.

Abstract: A search method and apparatus, and storage medium capable of enhancing response accuracy of a search result is proposed. A search apparatus for searching among a plurality of conversation history documents, each of which includes an inquiry from a customer and a response to the inquiry, for the conversation history documents whose content of the inquiry is similar to an inquiry text representing content of a new inquiry from the customer: classifies the plurality of conversation history documents into a plurality of clusters according to content of the conversation history documents; extracts a conversation history document representative of each of the clusters as a representative document for the relevant cluster; and searches for the conversation history documents having a relation with the inquiry text and presents the representative document for the cluster, to which the conversation history documents detected by the search belong, as a result of the search.

Abstract: A data analysis method for analyzing data on a data analysis apparatus having: setting, a plurality of dimension tables each having a first identifier for identifying data to be analyzed and attributes corresponding to the first identifier; setting, a history table having a second identifier associated with each of the first identifiers of the dimension tables, and having attributes corresponding to the second identifier; setting, a relation table for storing attributes relating to the first identifier, the dimension tables having a first dimension table associated with the relation table through the attribute relating to the first identifier; associating, the first identifiers that refers to the first identifier of a first dimension table with the attributes; and processing, a query for the relation table and the first dimension table, and generating a second dimension table.

Abstract: A relevant information acquisition method and apparatus include characteristic terms whereby each of the cases is extracted, and relevance among cases is detected based on the extracted characteristic terms of each of the cases and the conversation history documents of other cases. The respective cases are classified into a plurality of clusters, which are an aggregate of high relevance cases, labels assigned to the clusters and representative cases are determined, characteristic terms of the inquiry text are extracted, the cases that may become a reference are acquired based on the extracted characteristic terms and the conversation history document of each of the cases, one or more clusters to which each of the acquired cases belongs are identified, and the labels of each of the identified clusters and at least a part of the conversation history document of the representative cases are categorized and displayed.

Abstract: A search method and apparatus, and storage medium capable of enhancing response accuracy of a search result is proposed. A search apparatus for searching among a plurality of conversation history documents, each of which includes an inquiry from a customer and a response to the inquiry, for the conversation history documents whose content of the inquiry is similar to an inquiry text representing content of a new inquiry from the customer: classifies the plurality of conversation history documents into a plurality of clusters according to content of the conversation history documents; extracts a conversation history document representative of each of the clusters as a representative document for the relevant cluster; and searches for the conversation history documents having a relation with the inquiry text and presents the representative document for the cluster, to which the conversation history documents detected by the search belong, as a result of the search.

Abstract: A data management method employing the results of an analysis of data stored in a storage unit of a computer provided with a processor and a storage unit, wherein the computer generates an analysis data set by selecting data stored in the storage unit, subjects the analysis data set to prescribed data mining, extracts a model from the analysis data set, converts the model into a relational table, and associates the relational table with a dimension table and a history table that have been stored in advance in the storage unit.

Abstract: A join query execution method and device include a processor and storage medium. An external data source connected to a data management system by a table function is searched, regarding and joining processing against a join query regarding a search result of the table function and a table managed by the data management system, the joining processing is executed on the search result by a first joining method; a join query execution device determines whether the first joining method is appropriate, by using information acquired by search processing on the external data source; and when it is determined that the first joining method is not appropriate, the join query execution device recognizes a speed of a second joining method to be higher than that of the first joining method and switches the joining method for the joining processing to the second joining method.

Abstract: A data analysis method for analyzing data on a data analysis apparatus having: setting, a plurality of dimension tables each having a first identifier for identifying data to be analyzed and attributes corresponding to the first identifier; setting, a history table having a second identifier associated with each of the first identifiers of the dimension tables, and having attributes corresponding to the second identifier; setting, a relation table for storing attributes relating to the first identifier, the dimension tables having a first dimension table associated with the relation table through the attribute relating to the first identifier; associating, the first identifiers that refers to the first identifier of a first dimension table with the attributes; and processing, a query for the relation table and the first dimension table, and generating a second dimension table.

Abstract: A plurality of conveying apparatuses ace arranged from the inside of the first building to the inside of the second building along a conveying direction. A plurality of connection mechanisms connect each pair of adjacent conveying apparatuses such that the conveying apparatuses are arranged in a meandering manner in a case where relative positions between the first building and the second building are changed.

Abstract: A method and a system of database divisional management for use with a parallel database system comprising an FES (front end server), BES's (back end servers), an IOS (I/O server) and disk units. The numbers of processors assigned to the FES, BES's and IOS, the number of disk units, and the number of partitions of the disk units are determined in accordance with the load pattern in question. Illustratively, there may be established a configuration of one FES, four BES's, one IOS and eight disk units. The number of BES's is varied from one to four depending on the fluctuation in load, so that a scalable system configuration is implemented. When the number of BES's is increased or decreased, only the management information thereabout is transferred between nodes and not the data, whereby the desired degree of parallelism is obtained for high-speed query processing.

Abstract: A method and a system of database divisional management for use with a parallel database system comprising an FES (front end server), BES's (back end servers), an IOS (I/O server) and disk units. The numbers of processors assigned to the FES, BES's and IOS, the number of disk units, and the number of partitions of the disk units are determined in accordance with the load pattern in question. Illustratively, there may be established a configuration of one FES, four BES's, one IOS and eight disk units. The number of BES's is varied from one to four depending on the fluctuation in load, so that a scalable system configuration is implemented. When the number of BES's is increased or decreased, only the management information thereabout is transferred between nodes and not the data, whereby the desired degree of parallelism is obtained for high-speed query processing.

Abstract: A plurality of conveying apparatuses ace arranged from the inside of the first building to the inside of the second building along a conveying direction. A plurality of connection mechanisms connect each pair of adjacent conveying apparatuses such that the conveying apparatuses are arranged in a meandering manner in a case where relative positions between the first building and the second building are changed.

Abstract: A database system registers data unreflected in an index into a registration text buffer. When the database system retrieves a registration text buffer, the database system prepares a registration buffer index using retrieval character indicated by a retrieval request. Thereafter, when a retrieval request is received, an index in a database is retrieved. When there is no pertinent data in the index, the registration buffer index is retrieved. An index indicated by the registration buffer index is used to retrieve the registration text buffer. The database system reflects the registration buffer index in the index at predetermined timing. Thus, even if the number of data registered in the registration text buffer is increased, the retrieval time is not increased.

Abstract: A database access management unit manages accesses to databases managed by a plurality of data processing servers each provided for each data kind. A request analysis unit analyzes a request from an application containing a process request for each data kind. A process server selection unit selects the data processing server for executing a data process in accordance with the data kind. A data process request unit requests the data processing server to execute the data process. A process result edition unit edits the process result by the data processing server.

Abstract: The system manages at least a database in multiple database storage units, and the database is duplicated for redundancy. The system maintains the database redundancy for security. The system enables the maintenance and reorganization of the database storage units without interrupting the on-going operations involving the access to the database storage units. The non-stop ongoing database access is available by allocating a pair of a main storage unit and an intermediate storage unit that maintains the substantially identical data. During certain predetermined operations, the main storage unit is being dedicating to the on-going transactions while the intermediate database storage unit is manipulated to contain data that corresponds to a specified time. For example, the content of the intermediate storage is subsequently copied or used to update another database.

Abstract: The system manages at least a database in multiple database storage units, and the database is duplicated for redundancy. The system maintains the database redundancy for security. The system enables the maintenance and reorganization of the database storage units without interrupting the on-going operations involving the access to the database storage units. The non-stop ongoing database access is available by allocating a pair of a main storage unit and an intermediate storage unit that maintains the substantially identical data. During certain predetermined operations, the main storage unit is being dedicating to the on-going transactions while the intermediate database storage unit is manipulated to contain data that corresponds to a specified time. For example, the content of the intermediate storage is subsequently copied or used to update another database.

Abstract: A parallel database system retrieval method and system for transferring from database operation servers to a front end server only those data items that are used in subsequent processing, thereby shortening the query time when the unused data are massive. The invention allows an initial retrieval query to transfer only location information about the target data from a database operation server to the front end server. Using the location information the invention permits a subsequent query to get variable-bound location information so that the latter query will retrieve a desired sub-data item according to the acquired location information and dictionary information about the sub-data item locations within the data.

Abstract: A parallel database system retrieval method and system for transferring from database operation servers to a front end server only those data items that are used in subsequent processing, thereby shortening the query time when the unused data are massive. The invention allows an initial retrieval query to transfer only location information about the target data from a database operation server to the front end server. Using the location information the invention permits a subsequent query to get variable-bound location information so that the latter query will retrieve a desired sub-data item according to the acquired location information and dictionary information about the sub-data item locations within the data.

Abstract: In an MD schema definition modifying process for specifying tables to be modified in terms of addition of columns or the like when modification such as addition of a dimension is applied to an MD schema in a BI system having a fixed model such as a data model, tables to be modified in terms of addition of columns or the like are specified on the basis of information of modification such as addition of the dimension to the MD schema. In an extraction process of modification candidate tables, all combinations of tables and columns to be modified in terms of addition of columns or the like are output. In a decision process of modification target tables, a combination of tables to be modified can be output.