There are plenty of projects aimed at incorporating semantic information into present day document processing. The main problem is their real-world usability. E-learning is one of the areas which can take advantage of the semantically described documents. In this paper we would like to introduce a framework of cooperating tools which can help extract, store, visualize semantics in this area.
Knowledge necessary for the creation of business process models is distributed, consists of different types, and expresses different levels of abstraction. Its acquisition and collection into a common knowledge base, which implies integration into a single model, is the goal of the approach we are proposing. In this paper a framework for the integration of business process knowledge is proposed. It is shown how semantic technologies can contribute to the integration of different models, which represent different aspects of an organization, in order to create a more expressive model of business process knowledge.
Ubiquitous computing and the pervasive Internet have enabled service access in every situation. However, adaptation to the user needs is purely handled, and service specific security implementations are only found for specific services. This paper presents an approach to combine the I-centric and service centric world based on a semantic description of user relations enabling service access. A prototype using over-the-air key distribution demonstrates the capabilities of the suggested approach.
Process management is an important task in many companies. However, most of the literature on process management focuses on aspects like execution and monitoring and does neither deal with knowledge management support for the maintenance and contextualization of process models nor with the integration of such tasks into work procedures and corresponding tools. An effective knowledge management for business processes needs meta-data describing not only the processes but also their parts and details. This paper proposes a knowledge infrastructure for process modelling, usage and maintenance, which is based on a social tagging approach derived from popular social bookmarking tools. The concept of a tag-based prototype is described, which enables knowledge management support for complex sets of processes.
A logic-based approach to the semantic-based composition of task oriented teams using candidates profiles and task description is presented, in the framework of a skill management system. The selection process exploits Concept Covering, carried out using non-standard inference services in Description Logics. The approach is motivated and compared with other semantic-oriented proposals.