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BPM based rule ontology for autonomous learning system Disclosure Number: IPCOM000236600D
Publication Date: 2014-May-05
Document File: 3 page(s) / 97K

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The Prior Art Database


A method for Business Process Management (BPM) based rule ontology for autonomous learning system is disclosed. The method depicts a process for extracting rules from existing BPM documents or repositories.

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BPM based rule ontology for autonomous learning system

Disclosed is a method for Business Process Model (BPM) based rule ontology for autonomous learning system. The disclosed method depicts a process for extracting rules from existing BPM documents or repositories.

In the example, an autonomous learning system monitors fault states such as a full disk, and finds an existing documented business process for dealing with this issue. It translates this existing document into a set of actionable rules, rather than waiting for human intervention.

There are several system and network monitoring solutions available commercially today that monitor the health of a system, or watch for threats. These systems reply on complex configurations that define rules for how to respond to a situation that has been detected. These configurations have to be created manually by an administrator or other human expert, and if policies change, must then be updated manually again. This manual creation step is slow and can lead to errors and omissions. A better approach would be to use BPM to automatically generate rule sets for detection and resolution of problems. This approach has a well defined starting point which conveniently also aligns with existing business processes. Business process models are created to record and standardize the steps and data flows involved in many sorts of business processes. BPM is a modelling language widely used in organizations, thus there are many people with the expertise necessary to create BPMs.

Business Process Models that exist in an organization are used as a source for an automated system response to detected problem situations. Known solutions require interventions to be executed by human operators, such as system administrators in a computer network scenario. The system attempts to execute solution steps as outlined in the BPM. If the steps in the BPM are not sufficiently automatable, the system will raise an alert with the human operator, and point to the BPM step that it needs help executing. The human operator may need to perform certain actions by hand, or may be able to specify automated steps. In this way, over time, the BPM becomes a resource for the system to use to autonomously respond to the same situation in the future.

The disclosed syste...