On Architecting and Implementing a Product Information Sharing Service

Srinivasan, Vijay; Lämmer, Lutz; Vettermann, Steven

doi:10.1115/1.2840775

Cited by 17 publications

(6 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, PLM involves numerous and varied data exchanges and sharing [12]. The use of Service Oriented Architecture (SOA) has been identified as an approach for PLM implementations supporting capabilities beyond file-based data exchange [13] [14].…”

Section: Discussionmentioning

confidence: 99%

Dynamic Customization and Validation of Product Data Models Using Semantic Web Tools

Krima

Feeney

Foufou

2012

Product Lifecycle Management. Towards Knowledge-Rich Enterprises

View full text Add to dashboard Cite

Abstract. Product Lifecycle Management (PLM) has always required robust solutions for representing product data models. Product data models enable information exchange across different organizations, actors, processes and stages in the product lifecycle. In this context, standardization of models plays a key role, since it ensures interoperability between the different systems that support information exchange. These standard models need to support diverse domain-specific requirements from the multitude of disciplines involved during a product's lifecycle. Due to this diversity, challenges are to (1) develop multidisciplinary reusable models, (2) extend them to support new requirements over time (new products, new regulations, new materials, new processes) and (3) implement the resulting gigantic information models. ISO 10303, the reference standard for PLM-related data models provides two mechanisms that enable specialization of generic product data to address some of these challenges. In this paper we introduce the need for dynamic PLM-related information models, detail the existing ISO 10303 method and identify its limitations. We then present a methodology for enhancing that method using the Web Ontology Language (OWL) and ontologies for representing product data models and the SPARQL Inference Notation (SPIN), a new Semantic Web technology, for validating product data and overcoming OWL limitations.

show abstract

Section: Discussionmentioning

confidence: 99%

Dynamic Customization and Validation of Product Data Models Using Semantic Web Tools

Krima

Feeney

Foufou

2012

Product Lifecycle Management. Towards Knowledge-Rich Enterprises

View full text Add to dashboard Cite

show abstract

“…Other product information management architectures appear to ignore Semantic Web standards, e.g. OpenPDM (Srinivasan, Lämmer, & Vettermann, 2008). They implement a product data sharing architecture on top of the ISO STEP standard data model and existing SOA middleware.…”

Section: Product Information Related Researchmentioning

confidence: 99%

Semantic Federation of Product Information from Structured and Unstructured Sources

Wauer

Meinecke

Schuster

et al. 2011

International Journal of Business Data Communications and Networking

View full text Add to dashboard Cite

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.

show abstract

“…Srinivasan [1] makes the distinction between engineering objects, the information exchanged primarily by the engineering units of enterprises in the design and production of products, and business objects, the information exchanged by both engineering and business units of enterprises [1,2]. In the early days of manufacturing information exchange, the two realms could be kept reasonably separate.…”

Section: Preliminary Conceptsmentioning

confidence: 99%

An enabler for supplier discovery in virtual supply chains :

Fenves¹,

Subrahmanian²,

Mani³

et al. 2009

View full text Add to dashboard Cite

Rigid supply-chain organizational structures are giving way to highly dynamic collaborative partnerships. These partnerships will develop rapidly by composing global manufacturing resources in response to open market opportunities; and, they will disband just as rapidly when those opportunities disappear. One critical element of these virtual networks is the supplier discovery, i.e., the ability of customers to find suppliers that have the capabilities to meet their requirements. This initial report explores the communication language between the network partners, with particular emphasis on the technical aspects of the transactions.

show abstract

On Architecting and Implementing a Product Information Sharing Service

Cited by 17 publications

References 4 publications

Dynamic Customization and Validation of Product Data Models Using Semantic Web Tools

Dynamic Customization and Validation of Product Data Models Using Semantic Web Tools

Semantic Federation of Product Information from Structured and Unstructured Sources

An enabler for supplier discovery in virtual supply chains :

Contact Info

Product

Resources

About