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Harvesting Domain-Specific Data Resources for Enhanced After-Sales Intelligence in Car Industry

  • Jan Werrmann
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 113)

Abstract

Heterogeneous document landscapes in companies hold knowledge in the form of potential linkage between domain-specific documents of various document systems. To access this (hidden) knowledge, we developed design patterns for an ontology to derive a homogeneous access structure from the heterogeneous document landscape. Like in [19], we describe an Advanced Ontology-based Information Retrieval System (AIRS) that includes this ontology to generate retrieval strategies and to find document relationships. In a case study we demonstrate, how the concept of the AIRS can be used to combine the knowledge of different document systems to improve various workshop processes.

Keywords

Semantic Relation Replacement Part Query Expansion Information Retrieval System Application Context 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Daimler AGSindelfingenGermany

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