Harvesting domain-specific data resources for enhanced after-sales intelligence in car industry

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. © 2012 Springer-Verlag Berlin Heidelberg.