Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Sharing data and knowledge from heterogeneous sources
Environmental information systems in industry and public administration
Professional Xml Meta Data
IEEE Transactions on Knowledge and Data Engineering
IEEE Intelligent Systems
RAL: an Algebra for Querying RDF
WISE '02 Proceedings of the 3rd International Conference on Web Information Systems Engineering
Distributed Metadata Objects Using RDF
WETICE '99 Proceedings of the 8th Workshop on Enabling Technologies on Infrastructure for Collaborative Enterprises
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
LA-WEB '03 Proceedings of the First Conference on Latin American Web Congress
RAL: An Algebra for Querying RDF
World Wide Web
Temporal management of RFID data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
ecodesign'99 Proceedings of the First international conference on Environmentally conscious design and inverse manufacturing
Managing traceability information in manufacture
International Journal of Information Management: The Journal for Information Professionals
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The whole product lifecycle consists of three phases: Beginning Of Life (BOL), Middle Of Life (MOL), and End Of Life (EOL). Although large amounts of product lifecycle data are generated over the whole product lifecycle, data flows are rather vague after BOL. Over the last decade, however, emerging Internet, wireless mobile telecommunications, and product identification technologies have created the potential to make the whole product lifecycle visible. As a result, the scope of data to be managed has expanded over the whole product lifecycle. Hence, it becomes important to describe product lifecycle meta data in a systematic manner. Although much attention has been paid to data modeling over several objects such as products and processes, modeling methodology for product lifecycle meta data is not well developed. To cope with this limitation, we develop a modeling method for product lifecycle meta data using the resource description framework (RDF). We define an RDF data model and its schema for describing and managing product lifecycle meta data. In addition, we describe how the proposed RDF model can be usefully applied to track, trace, and infer product lifecycle data with an RDF query language.