The Information Systems Laboratory combines expertise in knowledge representation and reasoning, database systems, net-centric information systems, and conceptual modeling. Its grand research challenge is to succeed in the transition from traditional information systems, such as information retrieval systems, database and workflow management systems, to semantically rich, large-scale, adaptive information systems. Such systems will be characterized by large-scale semantic interoperation, massive distribution, and/or a high level of autonomy and self-adaptation.Besides conducting theoretical work on the above issues, ISL carries out applied research work in a number of application domains, including cultural informatics, biomedical informatics, e-learning, e-commerce and IT security. Work in these domains has a strong interdisciplinary character, since it includes the aspect of understanding the respective domain and modeling it through an appropriate conceptualization.Overall, the ISL aims to provide enabling technologies for the emergence of an information society and a knowledge economy.
Research Activities The research activities of ISL are structured around four core research themes: Semantic Data Management Symbolic AI Service-Oriented Computing Information Retrieval and Analysis and three core application themes: Cultural Informatics Digital Preservation Social and Cognitive Intelligent Systems
Development Activities SYNTHESIS- an information system for administration, documentation and promotion of cultural objects and monuments DIATHESIS - an information system for documentation, management and promotion of digital documents Dictionary Lemmas - Document Management System Thesaurus Management Systems Semantic Index System ICT ecosystems for Precision Medicine Applications e-Commerce IT security Scientific, technical and legal documentation and knowledge bases Community Web portals Digital Libraries, Repositories, Data Integration