@inproceedings{42a9a60e60ff436e94059587e7979971,
title = "Improving engineering information retrieval by combining TD-IDF and product structure classification",
abstract = "Engineering Information Management (EIM) and Information Retrieval (IR) systems are central to the day to day running of large engineering organisations. The capture, interrogation, retrieval and presentation of information from design to disposal is considered to be a key enabler for greater efficiency and decision making and in turn improved productivity, profitability and competitiveness. This paper presents a contribution to the field of engineering IR through combining TF-IDF with classification against the product structure. The results of this initial investigation show that Precision, Recall and F1-Scores can be improved depending on the method of results integration and thus tailored to the search system and context.",
keywords = "Design informatics, Information management, Knowledge management, Product Lifecycle Management (PLM)",
author = "D. Jones and Jason Matthews and Yifan Xie and James Gopsill and Martin Dotter and Nicolas Chanchevrier and Ben Hicks",
note = "Funding Information: This research is funded via an EPSRC CASE AWARD, the Language of Collaborative Manufacturing (LOCM) Project (EPSRC grant reference EP/K014196/1) and the Airbus Group. The authors would like to thank colleagues at the Airbus Group, University of Bristol, University of West England and the University of Bath for their support and contribution.",
year = "2017",
language = "English",
volume = "6",
series = "Proceedings of the International Conference on Engineering Design, ICED",
publisher = "Elsevier",
pages = "41--50",
editor = "F. Salustri and S. Skec and Maier, {A. M.} and H. Kim and M. Kokkolaras and J. Oehmen and G. Fadel and {Van der Loos}, M.",
booktitle = "Proceedings of the International Conference on Engineering Design, ICED",
address = "Netherlands",
edition = "DS87-6",
}