| This book contains the papers presented during the 3rd International Workshop on Text Mining and its Applications held in Athens, Greece. This workshop is the final event of the activities of a network of excellence in the area of text mining and its applications. Knowledge Mining includes contributions in the areas of: Document processing, visualization techniques, Web mining, Text mining, or knowledge management.
Text mining is an exciting application field and an area of scientific research that is currently under rapid development. It uses techniques from well-established scientific fields (e.g. data mining, machine learning, information retrieval, natural language processing, case-based reasoning, statistics and knowledge management) in an effort to help people gain insight, understand and interpret large quantities of (usually) semi-structured and unstructured data. Despite the advances made during the last few years, many issues remain unresolved. Proper co-ordination activities, dissemination of current trends and standardisation of the procedures have been identified, as key needs. There are many questions still unanswered, especially to the potential users; what is the scope of Text Mining, who uses it and for what purpose, what constitutes the leading trends in the field of Text Mining – especially in relation to IT – and whether there still remain areas to be covered.
Knowledge Mining draws upon many of the key concepts of knowledge management, data mining and knowledge discovery, meta-analysis and data visualization. Within the context of scientific research, knowledge mining is principally concerned with the quantitative synthesis and visualization of research results and findings. |