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Segregating Discourse Segments from Engineering Documents for Knowledge Acquisition

Madhusudanan, N and Gurumoorthy, B and Chakrabarti, Amaresh (2014) Segregating Discourse Segments from Engineering Documents for Knowledge Acquisition. In: 11th IFIP Working Group 5.1 International Conference on Product Lifecycle Management for a Global Market (PLM), JUL 07-09, 2014, Yokohama, JAPAN, pp. 417-426.

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Official URL: http://link.springer.com/chapter/10.1007%2F978-3-6...


The broader goal of the research being described here is to automatically acquire diagnostic knowledge from documents in the domain of manual and mechanical assembly of aircraft structures. These documents are treated as a discourse used by experts to communicate with others. It therefore becomes possible to use discourse analysis to enable machine understanding of the text. The research challenge addressed in the paper is to identify documents or sections of documents that are potential sources of knowledge. In a subsequent step, domain knowledge will be extracted from these segments. The segmentation task requires partitioning the document into relevant segments and understanding the context of each segment. In discourse analysis, the division of a discourse into various segments is achieved through certain indicative clauses called cue phrases that indicate changes in the discourse context. However, in formal documents such language may not be used. Hence the use of a domain specific ontology and an assembly process model is proposed to segregate chunks of the text based on a local context. Elements of the ontology/model, and their related terms serve as indicators of current context for a segment and changes in context between segments. Local contexts are aggregated for increasingly larger segments to identify if the document (or portions of it) pertains to the topic of interest, namely, assembly. Knowledge acquired through such processes enables acquisition and reuse of knowledge during any part of the lifecycle of a product.

Item Type: Conference Proceedings
Series.: IFIP Advances in Information and Communication Technology
Additional Information: Copy right for this article belongs to the SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Keywords: Knowledge acquisition; mechanical assembly; discourse analysis; segmentation
Department/Centre: Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited: 19 Nov 2015 04:58
Last Modified: 19 Nov 2015 04:58
URI: http://eprints.iisc.ac.in/id/eprint/52796

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