Knowminer: Konzeption und Entwicklung eines generischen Wissenserschliessungsframeworks

Abstract

Steadily increasing information amounts require new ways and techniques for making knowledge efficiently and goal oriented utilisable. The lack of structure in information, the incomplete allocation of metadata, and the vagueness of human language make things even more difficult. For making information utilisable for different user groups, various techniques from different domains must be combined: Knowledge Discovery and Information Retrieval provide approaches and techniques for a semantic enrichment of information and thus for a better utilisation for information which partly lies idle. Against this background the work at hand deals with the conceptualisation and development of an integrative and flexible software framework. This framework supports the development of knowledge discovery and information retrieval services. The main goal of the work concerns the integration of different algorithms and techniques from the above mentioned domains, whereby the framework should be applicable in different application scenarios. The analysis of processes, data flows and application areas of Knowledge Discovery provides the conceptual foundation for the realisation of the software framework. The conceptualisation and realisation was divided into several iteration cycles, oriented along the spiral model of software development. The end of each cycle consisted in applying and evaluating the framework in practical scenarios and projects. This, on the one hand allowed for the further development of the framework, and on the other hand showed its applicability in different scenarios and technical areas. The developed KnowMiner-Framework was successfully realised and applied in five large and a number of smaller projects. As experiences show, the framework can easily be integrated in various application areas and techniques from Knowledge Discovery can easily be applied in practical scenarios.