Abstract: The invention relates to a method and system that provide a continuous querying mechanism that analyses real-time data streams to generate relevant results. It leverages data grid and event processing technology to provide a high performance and extremely scalable continuous querying solution. An embodiment of the invention provides a flexible querying language and data storage to allow users to register their interest in specific types of data, e.g. processes. The users are notified of matching results using an event-based mechanism. In order to efficiently analyze a large amount of data, the embodiment uses a grid infrastructure that allows storage of the data across many grid nodes and distributes the query execution workload, avoiding the bottleneck represented by constantly querying a database. Continuous queries are stored in a Continuous Query Registry and that Registry is invoked every time an insert or update event occurs on the triple store.

Abstract: The invention relates to a method and system that provide a high performance and extremely scalable triple store within the Resource Description Framework (or alternative data models), with optimized query execution. An embodiment of the invention provides a data storage and analysis system to support scalable monitoring and analysis of business processes along multiple configurable perspectives and levels of granularity. This embodiment analyses data from processes that have been already executed and from ongoing processes, as a continuous flow of information. This embodiment provides defining and monitoring processes based on no initial domain knowledge about the process and such that the process will be built only from the incoming flow of information. Another embodiment of the invention provides a grid infrastructure that allows storage of data across many grid nodes and distribution of the workload, avoiding the bottleneck represented by constantly querying a database.

Abstract: The invention relates to a method and system which provides access control and access control enforcement particularly in relation to business process data streams. Embodiments of the invention provide a method and a set of components (referred to as: Policy Administration Point, Policy Enforcement Point, Filter Updater, Log De-Multiplexer) for fast online filtering of process logs based on access rights. In one embodiment the method comprises a series of steps to (i) encode each user's access rights to the process log in a machine readable format (ii) use such encoding together with incoming process events to compute a custom online filter to be applied to the process log as it is being recorded (iii) execute logical log de-multiplexing, enabling each user to query, inspect and monitor a separate event flow.

Abstract: The invention relates to a method and system that provide a continuous querying mechanism that analyses real-time data streams to generate relevant results. It leverages data grid and event processing technology to provide a high performance and extremely scalable continuous querying solution. An embodiment of the invention provides a flexible querying language and data storage to allow users to register their interest in specific types of data, e.g. processes. The users are notified of matching results using an event-based mechanism. In order to efficiently analyse a large amount of data, the embodiment uses a grid infrastructure that allows storage of the data across many grid nodes and distributes the query execution workload, avoiding the bottleneck represented by constantly querying a database. Continuous queries are stored in a Continuous Query Registry and that Registry is invoked every time an insert or update event occurs on the triple store.

Abstract: The invention relates to a method and system that provide a high performance and extremely scalable triple store within the Resource Description Framework (or alternative data models), with optimized query execution. An embodiment of the invention provides a data storage and analysis system to support scalable monitoring and analysis of business processes along multiple configurable perspectives and levels of granularity. This embodiment analyses data from processes that have been already executed and from ongoing processes, as a continuous flow of information. This embodiment provides defining and monitoring processes based on no initial domain knowledge about the process and such that the process will be built only from the incoming flow of information. Another embodiment of the invention provides a grid infrastructure that allows storage of data across many grid nodes and distribution of the workload, avoiding the bottleneck represented by constantly querying a database.

Abstract: A data integration system (100, 10-14) comprises a plurality of data sources (10-14) and a mapping system (120, 121, 122, 125, 126, 127, 128) for providing mapping between the data sources (10-14) and a global ontology. The global ontology comprises a plurality of elements including at least a plurality of concepts, at least some of which include one or more attributes. The data integration system further comprises a user interface (110). The user interface (110) is operable in use to provide an integrated, global view of the data contained in the data sources (10-14) and to permit a user to interact with the data sources (10-14) using the global ontology.