The 8th IEEE International Conference on E-Commerce Technology and the 3rd IEEE International Conference on Enterprise Computin 2006
DOI: 10.1109/cec-eee.2006.50
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Extracting a semantic view from an ebusiness vocabulary

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Cited by 6 publications
(5 citation statements)
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“…For example, in textile/clothing sector, Moda-ML [2] is developed as a vertical standard for data exchange. The Moda-ML Business Process Ontology defines concepts (vocabulary terms) and exchange documents related to activities in textile sector [15]. The defined shared concepts support the development of business transactions models, which should be understandable to all entities interacting via the platform.…”
Section: Related Workmentioning
confidence: 99%
“…For example, in textile/clothing sector, Moda-ML [2] is developed as a vertical standard for data exchange. The Moda-ML Business Process Ontology defines concepts (vocabulary terms) and exchange documents related to activities in textile sector [15]. The defined shared concepts support the development of business transactions models, which should be understandable to all entities interacting via the platform.…”
Section: Related Workmentioning
confidence: 99%
“…The project was initiated in order to provide a set of EDI tools based on XML to allow manufacturers and retailers to implement a reactive delivery strategy. Regarding semantic-like interoperability, Moda-ML represents an interesting initiative to provide semantics for the e-business vocabulary [26,27]. They carried out the following steps based on UPON methodology: they started by identifying the necessary vocabulary terms (i.e.…”
Section: Textile/clothing Industry Interoperability Approaches Reviewmentioning
confidence: 99%
“…Without going to much in details, one of the results of the Moda-ML project has been the definition of a vocabulary of terms upon which a set of XML document schemas has been defined for data exchange in the Textile/Clothing sector (De Sabbata et al, 2005). For this vocabulary we built a semantic representation (defined with a set of OWL ontology) of both the terms and the documents defined in the vocabulary (Gessa et al, 2006).…”
Section: Use Cases For Ontology Browsingmentioning
confidence: 99%