Semantic Federation of Product Information from Structured and Unstructured Sources

Semantic Federation of Product Information from Structured and Unstructured Sources

Matthias Wauer (Technische Universität Dresden, Germany), Johannes Meinecke (SAP Research Dresden, Germany), Daniel Schuster (Technische Universität Dresden, Germany), Andreas Konzag (BMW Group, Germany), Markus Aleksy (ABB Corporate Research, Germany) and Till Riedel (Karlsruhe Institute of Technology, Germany)
DOI: 10.4018/978-1-4666-2026-1.ch008
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Abstract

Product-related information can be found in various data sources and formats across the product lifecycle. Effectively exploiting this information requires the federation of these sources, the extraction of implicit information, and the efficient access to this comprehensive knowledge base. Existing solutions for product information management (PIM) are usually restricted to structured information, but most of the business-critical information resides in unstructured documents. We present a generic architecture for federating heterogeneous information from various sources, including the Internet of Things, and argue how this process benefits from using semantic representations. A reference implementation tailor-made to business users is explained and evaluated. We also discuss several issues we experienced that we believe to be valuable for researchers and implementers of semantic information systems, as well as the information retrieval community.
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Introduction

Product-related information is generated, accessed and manipulated along the product lifecycle in heterogeneous formats. Only part of this information can be accessed using state-of-the-art product information systems as large parts of this information are only available in unstructured sources or distributed along different databases and legacy systems. The challenge to create an all-embracing view on products is huge. Such a comprehensive product information system has to integrate and harmonize data from all phases of the product lifecycle, all different source formats like unstructured documents, sensor information or product databases. Furthermore, it must even cross organization boundaries as different stakeholders may be responsible for the design, production, delivery, and service of a product.

The Aletheia project (Aletheia, 2009) is a unique attempt to bring together industry partners (ABB, BMW, Deutsche Post DHL, Otto, SAP) with five innovative application scenarios from different phases of the product lifecycle and five different landscapes of current state-of-the-art product information management. All these partners have a keen interest in improving the information flow internally as well as with their customers and partners and to open up new sources of product-related information like Web 2.0 pages.

In this paper we try to answer the research question if it is possible to federate structured as well as unstructured sources of product information along the product lifecycle. We use semantic technologies for this purpose and deploy and advance information extraction techniques. The scenarios describe two of the use cases of the Aletheia project clarifying the opportunities of federated product information systems (FPIS). We further discuss requirements derived from these and other scenarios. A discussion of existing architectures for semantic information management and federation shows the need for a new architecture matching the requirements mentioned. The contributions of this paper consist of

  • 1.

    A discussion of design decisions for FPIS,

  • 2.

    A high-level component architecture for FPIS, including a concept for data sharing between organizations,

  • 3.

    A detailed concept of the Aletheia Service Hub, our central component for information federation within organizations,

  • 4.

    A reference implementation of a semantic FPIS.

We conclude with a discussion of the results achieved so far.

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Scenarios And Requirements

In order to motivate our research, we discuss two scenarios in the industrial sector. They are derived from two case studies conducted in the Aletheia project, focusing on

  • 1.

    Product lifecycle management (PLM) at ABB, a large company providing power and automation products, technology, and service1, and

  • 2.

    Knowledge management in automotive engineering at the BMW company.

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