2013
DOI: 10.1007/978-3-642-41266-0_57
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Semantic Web-Based Supplier Discovery Framework

Abstract: Abstract. As companies move forward to source globally, supply chain management has gained attention more than ever before. In particular, the discovery and selection of capable suppliers has become a prerequisite for a global supply chain operation. Manufacturing e-marketplaces have helped companies discover new suppliers and/or buyers fast and effective for their products and services. Due to the description of requirements and capabilities in isolation, their true meanings may not be uniformly interpreted f… Show more

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Cited by 1 publication
(2 citation statements)
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“…For the first type of contribution, the following approaches were found for gathering and consolidating information about supply chain stakeholders' capabilities from distributed data sources: website search [36], dynamic forms completed by stakeholders [38], [39], and peer-to-peer platform software [45]. For the second type of contribution, the following approaches were found for matching supply chain stakeholders' capabilities with buyers' requirements stored in a centralized data source: semantic reconciliation approaches to find matches [29]- [34], [38]- [41], [43], ontologies to structure information [29]- [34], [38]- [41], [43], [44], and semantic clustering of supply chain stakeholders' capabilities in a classification tree to classify and retrieve capabilities [42]. As part of the second type of contributions, the report by Fenves et al [37] from the U.S. Department of Commerce and the National Institute of Standards and Technology (NIST) highlights the need for a taxonomy to share a common terminology among supply chain stakeholders to support supply chain stakeholder identification.…”
Section: Methodology and Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…For the first type of contribution, the following approaches were found for gathering and consolidating information about supply chain stakeholders' capabilities from distributed data sources: website search [36], dynamic forms completed by stakeholders [38], [39], and peer-to-peer platform software [45]. For the second type of contribution, the following approaches were found for matching supply chain stakeholders' capabilities with buyers' requirements stored in a centralized data source: semantic reconciliation approaches to find matches [29]- [34], [38]- [41], [43], ontologies to structure information [29]- [34], [38]- [41], [43], [44], and semantic clustering of supply chain stakeholders' capabilities in a classification tree to classify and retrieve capabilities [42]. As part of the second type of contributions, the report by Fenves et al [37] from the U.S. Department of Commerce and the National Institute of Standards and Technology (NIST) highlights the need for a taxonomy to share a common terminology among supply chain stakeholders to support supply chain stakeholder identification.…”
Section: Methodology and Resultsmentioning
confidence: 99%
“…In addition to the contributions introduced by the reviewed papers, some mention existing online services provided by businesses to match supply chain stakeholders' capabilities with buyers' requirements from a centralized data source (e.g., www.alibaba.com, www.ec21.com, www.mfg.com) [40], [41], [44]. They are defined by authors as "e-marketplace" or "esourcing portals".…”
Section: Methodology and Resultsmentioning
confidence: 99%