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Product Data Management (PDM) aims to provide 'Systems' contributing inindustries by electronically maintaining organizational data, improving datarepository system, facilitating with easy access to CAD and providingadditional information engineering and management modules to access, store,integrate, secure, recover and manage information. Targeting one of theunresolved issues i.e., provision of natural language based processor for theimplementation of an intelligent record search mechanism, an approach isproposed and discussed in detail in this manuscript. Designing an intelligentapplication capable of reading and analyzing user's structured and unstructurednatural language based text requests and then extracting desired concrete andoptimized results from knowledge base is still a challenging task for thedesigners because it is still very difficult to completely extract Meta dataout of raw data. Residing within the limited scope of current research anddevelopment; we present an approach capable of reading user's natural languagebased input text, understanding the semantic and extracting results fromrepositories. To evaluate the effectiveness of implemented prototyped versionof proposed approach, it is compared with some existing PDM Systems, in the endthe discussion is concluded with an abstract presentation of resultantcomparison amongst implemented prototype and some existing PDM Systems.

Towards Design and Implementation of a Language Technology based Information Processor for PDM Systems