A search technology that uses semantics to understand the search intent and the context meaning of a searcher thus improving the accuracy of the presented results.
Published in Chapter:
Improving Industrial Product Lifecycle Management by Semantic Data Federations
Steffen Kunz (Humboldt-Universität zu Berlin, Institute of Information Systems, Germany), Benjamin Fabian (Humboldt-Universität zu Berlin, Institute of Information Systems, Germany), Markus Aleksy (ABB Corporate Research Center Germany, Germany), Matthias Wauer (Technische Universität Dresden, Germany), and Daniel Schuster (Technische Universität Dresden, Germany)
Copyright: © 2012
|Pages: 25
DOI: 10.4018/978-1-4666-0294-6.ch018
Abstract
It is expected that the amount of product information available from the Internet of Things and Services will be so tremendous that the main challenge will be to provide the right information, at the right time, in the right place, and to the right people. This objective is addressed by Aletheia – a distributed Information System that enables the federation and semantic integration of very heterogeneous information sources. This chapter discusses the goals, functionality, and architecture of Aletheia, guided by a real-world case study in the industrial service sector and conducted in cooperation with ABB, a major company providing power and automation technologies, products, and services for utility and industry customers. Further, the authors discuss several issues from the Aletheia project experience they believe to be valuable for researchers and implementers of semantic data federation systems as well as practitioners in the industrial service sector.