Abstract: An apparatus, method and program for generating a multiple-event pattern query for use in the retrieval of event information. The apparatus comprises: an inputter to receive an input query from a user; a retriever to analyze the received input query, and to retrieve an event query template from an event template database on the basis of the analysis; a pattern query formulation unit to receive the retrieved event query template, and to modify the event query template using the received input query to formulate the multiple-event pattern query; and a transmitter to transmit the multiple-event pattern query to an event information source, such that events matching the multiple-event pattern query may be identified.

Abstract: An apparatus, method and program categorizing extracted events using a plurality of refined event patterns, and storing events matching a pattern in event storage; retrieving that match a pattern from the storage, to identify entities in the events, an event time of occurrence, and determine if events relate to the same occurrence, if the reconciliation determines that events relate to the same occurrence, reconciling the events retaining only a single event relating to an occurrence; receiving a query from a user, to reformat the query into a multiple-event pattern query, and semantically annotating the retained events, such that no information from the plural stored events relating to the same occurrence is lost, and receiving the pattern query to identify events matching the pattern query, and storing the events as a multiple event query response in a multiple event storage.

Abstract: A data storage system a process including: storing an array of registered entity property-value pairs representing the registered entity where each of the pairs includes a property label representing a property and a value range of the property; storing an entry of one identifier property-value pair where each pair includes an identifier property label uniquely identifying the registered entity, and an identifier value representing a value of the identifier property; acquiring a dataset having acquired 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; identifying an identifier property-value pair matching an acquired dataset property-value pair for the acquired dataset entity; and consolidating the acquired dataset property-value pairs into the array of registered entity property-value pairs.

Abstract: An event learner using machine intelligence includes an inputter to receive sample event patterns; an information retriever to retrieve terms information and to identify entities and predicates from the terms information; and a comparator to compare the identified entities and predicates against the sample event patterns, to generate a plurality of refined event patterns using the identified entities and predicates and the sample event patterns. An event extractor includes a selector to select raw information from a plurality of heterogeneous sources; a reformatter to identify entities and predicates in the raw information, and to generate reformatted information indicating the entities and predicates; and an analyser to analyse the reformatted information using the plurality of refined event patterns and, when an event matching a refined event pattern is identified, to store the event.

Abstract: 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.

Abstract: 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.