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Due to more and more demanding requirements for business flexibility and agility, automation of end-to-end industrial processes has become an important topic. Systems supporting business process execution need to enable automated tasks execution as well as integrate human performed tasks (human tasks) into a business process. In this paper, we focus on collaboration tasks, which are an important type of composite human tasks. We propose a service-oriented architectural framework describing a service responsible for human task execution (Human task service), which not only implements collaboration tasks but also improves their execution by automated and semi-automated decision making and collaboration based on ontologies and agent technology. The approach is very generic and can be used for any type of business processes. A case study was performed for a human task intensive business process from an electric power transmission domain.

This paper proposes an innovative framework for knowledge management in service-oriented systems. An important novelty of our framework is that it allows for automatic instance level evolution of the knowledge base and that it integrates conceptual level knowledge base evolution with the overall service-oriented system framework. In the paper, we identify several opportunities that have arisen in the field of knowledge management with the wider acceptance of SOA and its technology stack, and we present a framework that addresses these opportunities. We focus on ontology-based knowledge management systems, which have become one of the most important technologies for implementation of knowledge management systems. The framework reduces the required input for knowledge management by knowledge engineers, increases information completeness in the knowledge base and provides a simple way for storing more up-to-date information in the knowledge base.