Fujitsu Corporation

Manuel Peña Muñoz

Victor De La Torre

Alejandro Llaves

Boris Villazón-Terrazas

José Mora López

Nuria Garcia Santa

Embodiments include a system for reconciling input datasets with a model ontology, the system comprising a processor coupled to a memory, to execute: a model ontology storage process, storing a model ontology graph defining a concept hierarchy, the concept hierarchy comprising nodes at various levels. The processor and memory further to execute: a user interface process, receiving, via a user interface, user input assignments of nodes from upper levels of the concept hierarchy to input datasets with particular properties from among the lower level nodes. The processor and memory further to execute an input dataset reconciliation process using the concept hierarchy and a record of historical user input assignments to determine which higher level nodes to assign to a new input dataset, based on the lower level nodes represented in the new input dataset.

System, method, and program for reconciling input datasets with a model ontology

An array of registered entity property-value pairs representing a registered entity are stored in a data storage system. Each of the pairs includes a property label representing a property and a value range of the property. For each identifier property-value, an identifier property label, uniquely identifying the registered entity, and an identifier value representing a value of the identifier property are stored. A dataset is acquired with dataset property-value pairs for each of a first set of acquired dataset entities, where each pair includes a property label representing a property and a value representing a value range of the property. An identifier property-value pair matching an acquired dataset property-value pair for the acquired dataset entity is identified and then the acquired dataset property-value pairs are consolidated into the array of registered entity property-value pairs.

Reconciled data storage system

A microservice-based data processing apparatus, including: a type register, storing a list of types, a type being a semantic concept expression; and microservices each comprising an annotation of an input type and output types from the list; processing logic transforming input data expressed by the input type into output data expressed by the output types; and a messaging mechanism for inputting data, via a message, to a microservice, the mechanism defining a message format for structuring the messages. The format includes a first field specifying the data being input; and a second field specifying a type, from the list of types, semantically expressing the concept instantiated by the data. Each microservice includes a controller to receive a message from the mechanism having the format, and to respond by executing the logic when the type specified by the second field matches the input type of the microservice.

Microservice-based data processing apparatus, method, and program

A data processing apparatus including a library, storing software services, each executing a data processing function; a user interface receiving commands, expressed in a language and defining a data processing target and a data processing request; and a parser. The parser extracting from each command: the request from the language; and the target. A knowledge base maintaining a record of the request and the target; a scheduler obtaining the request from the parser, and compiling a schedule to fulfill the request; a controller controlling execution of the schedule, the target being the input data to the execution, and to output a result; and a result processor obtaining the result, and, based on records of requests and targets, to identify a request candidate, and to output to the user as a selectable command in the language, via the user interface, the candidate with the result defined as a data processing target.

Semantic parsing with knowledge-based editor for execution of operations

A data property recognition apparatus, includes a storage unit; a model data acquisition processor acquiring a plurality of model sets of data entries, each data entry individually representing an identified property common to the model set and being of a data type common to the model set; a feature vector generation processor receiving an input set of data entries, recognizing a data type common to the input set of data entries from among a plurality of supported data types, selecting a set of statistical characteristics representing the input set of data entries in dependence upon the recognised data type, generating a value of each of the selected set of statistical characteristics from the input set of data entries, and outputting a feature vector composed of the generated values of statistical characteristics.

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Seville, Spain

Manuel Peña Muñoz