ICADL 2007 - LNCS 4822

Automatic Text Summarization in Engineering Information Management

Jiaming Zhan¹, Han Tong Loh¹, Ying Liu², and Aixin Sun³

¹Department of Mechanical Engineering, National University of Singapore,119077 Singapore
jiaming@nus.edu.sg
mpelht@nus.edu.sg

²Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
mfyliu@inet.polyu.edu.hk

³School of Computer Engineering, Nanyang Technological University,639798 Singapore
axsun@ntu.edu.sg

Abstract. In today’s knowledge-intensive engineering environment, information management is an important and essential activity. However, existing researches of Engineering Information Management (EIM) mainly focused on numerical data such as computer models and process data. Textual data, especially the case of free texts, which constitute a significant part of engineering information, have been somewhat ignored, mainly due to their lack of structure and the noisy information contained in them. Since summarization is a process to distill important information from source documents and at the same time remove irrelevant and redundant information, it could address the obstacles for handling textual data in EIM. Moreover, text summarization could address the increasing demand to integrate information from multiple documents and reduce the time in acquiring useful information from massive textual data in the engineering domain. This paper discusses in detail the need to apply text summarization in EIM and introduces a case study in summarizing multiple online customer reviews.

Keywords: Automatic Text Summarization, Engineering Information Manage-ment, Online Customer Reviews

LNCS 4822, p. 347 ff.

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