Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Foundations of statistical natural language processing
Foundations of statistical natural language processing
A comparison of search term weighting: term relevance vs. inverse document frequency
SIGIR '81 Proceedings of the 4th annual international ACM SIGIR conference on Information storage and retrieval: theoretical issues in information retrieval
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
An evaluation exercise for word alignment
HLT-NAACL-PARALLEL '03 Proceedings of the HLT-NAACL 2003 Workshop on Building and using parallel texts: data driven machine translation and beyond - Volume 3
IV '06 Proceedings of the conference on Information Visualization
Combining association measures for collocation extraction
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
The automatic creation of literature abstracts
IBM Journal of Research and Development
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At present, product lifecycle data is provided, used, and archived only for very specific purposes. Textual data generated in product use can be very comprehensive and contain valuable information beyond its original purpose, e.g. for product development or improvement. This kind of information, however, is not fed back systematically, as its evaluation is currently not possible due to a lack of suitable methods and tools in product development. The paper in hand presents a concept designed to support product developers by introducing maintenance, service, and customer data, which has undergone restructuring into textual form in the product use phase, into product development. To process the restructured textual data, customized text mining methods are generated as a part of knowledge management in product development. These methods aim at identifying products, product generations, and failure descriptions, as well as the relationships among them. The knowledge gained through text mining is visualized in the work environment familiar to the product developer, and implements utilitarian visualization methods. Visualization is integrated into existing IT systems and provides knowledge required for product improvement or development in a target-oriented way. This extension to knowledge-based product development facilitates more efficient improvement of current and future products.