Milan Zdravkovic, Miroslav Trajanovic, Hervé Panetto, Local Ontologies for Semantic Interoperability in Supply Chain Networks
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13th International Conference on Enterprise Information Systems, ICEIS’2011, June 8-11, 2011, Beijing, P.R. China
![Local Ontologies for Semantic Interoperability in Supply Chain Networks Milan Zdravković, Miroslav Trajanović University of Niš, Serbia milan.zdravkovic@masfak.ni.ac.rs, traja@masfak.ni.ac.rs Hervé Panetto Research Centre for Automatic Control (CRAN – UMR 7039), Nancy-Université, CNRS, France [email_address] ICEIS’2011, June 8-11, 2011, Beijing, P.R. China](https://image.slidesharecdn.com/iceis201150-2-110607045404-phpapp02/85/Milan-Zdravkovic-Miroslav-Trajanovic-Herve-Panetto-Local-Ontologies-for-Semantic-Interoperability-in-Supply-Chain-Networks-1-320.jpg)
![Problems of “traditional” supply chains ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Often, SC can’t respond effectively to structural changes in demand](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Milan Zdravkovic, Miroslav Trajanovic, Hervé Panetto, Local Ontologies for Semantic Interoperability in Supply Chain Networks
- 1. Local Ontologies for Semantic Interoperability in Supply Chain Networks Milan Zdravković, Miroslav Trajanović University of Niš, Serbia milan.zdravkovic@masfak.ni.ac.rs, traja@masfak.ni.ac.rs Hervé Panetto Research Centre for Automatic Control (CRAN – UMR 7039), Nancy-Université, CNRS, France [email_address] ICEIS’2011, June 8-11, 2011, Beijing, P.R. China
- 3. Virtual organizations – Supply chains of the future ? *Virtual Breeding Environment Ent 2 Ent 4 Ent 1 Ent 3 Ent 5 Ent 6 **Virtual Enterprise 1 Ent 21 Ent 41 Ent 11 Ent 31 Ent 61 **Virtual Enterprise n Ent 2n Ent 4n Ent 5n Ent 3n Opportunity 1 Opportunity n Selection Configuration Selection Configuration Dissolution Dissolution **Temporary network of independent enterprises, who join together quickly to exploit fast-changing opportunities and then dissolve (Browne and Zhang, 1999) * Pool of organizations and related supporting institutions that have both the potential and the will to cooperate with each other through the establishment of a “base” long-term cooperation agreement and interoperable infrastructure . (Sánchez et al, 2005)
- 5. Is it easy ? English translation of Welsh: “I am not in the office at the moment. Please send any work to be translated”
- 9. Our approach to semantic interoperability in supply chain networks 2/2 SCOR- MAP SCOR-FULL OWL SCOR-SYS OWL SCOR-KOS OWL SCOR Native formats, Exchange formats Domain Ontologies Implicit semantics Explicit semantics Semantic enrichment Formal models of design goals Semantic applications Enterprise Information Systems SCOR-based systems SCOR-CFG OWL SCOR-GOAL OWL PRODUCT OWL Semantic Query service EIS database LOCAL ONTOLOGY Transformation service EIS database LOCAL ONTOLOGY EIS database LOCAL ONTOLOGY
- 11. Our approach to database-to-ontology mapping Database er.owl attribute constraint entity multiplicity relation type hasAttribute hasType hasConstraint hasSourceAttribute hasDestinationAttribute hasSourceMultiplicity hasDestinationMultiplicity output imports s-er.owl concept hasObjectProperty data-type hasDataProperty data-concept hasDataType hasDefiningProperty hasDefiningDataProperty hasFunctionalProperty output er:entity(x) ∧ not (er:hasAttribute only (er:attribute ∧ (er:isSourceAttributeOf some er:relation))) ⇒ s-er:concept(x) er:entity(x) ∧ er:entity(y) ∧ er:relation(r) ∧ er:hasAttribute(x, a1) ∧ er:hasAttribute(y, a2) ∧ er:isDestinationAttributeOf(a2, r) ∧ er:isSourceAttributeOf(a1, r) ⇒ s-er:hasObjectProperty(x, y) s-er:hasObjectProperty(x, y) ∧ er:hasConstraint(a1,'not-null') ⇒ s-er:hasDefiningProperty(x, y) er:attribute and not (er:isSourceAttributeOf some er:relation) ⇒ s-er:data-concept er:type(x) ⇒ s-er:data-type(x) s-er:concept(c) ∧ er:attribute(a) ∧ er:type(t) ∧ er:hasAttribute(c, a) ∧ er:hasType(a, t) ⇒ s-er:hasDataProperty(c, t) s-er:hasDataProperty(c, t) ∧ er:hasConstraint(a,'not-null') ∧ er:hasConstraint(a,'unique') ⇒ s-er:hasDefiningDataProperty(c, t) Data import and classification of ER entities Classification (inference) of OWL types and properties Lexical Refinement Local ontology generation output
- 17. Local Ontologies for Semantic Interoperability in Supply Chain Networks Milan Zdravković, Miroslav Trajanović University of Niš, Serbia milan.zdravkovic@masfak.ni.ac.rs, traja@masfak.ni.ac.rs Hervé Panetto Research Centre for Automatic Control (CRAN – UMR 7039), Nancy-Université, CNRS, France [email_address] ICEIS’2011, June 8-11, 2011, Beijing, P.R. China Thank you for your attention
Notas do Editor
- Illustration of the two systems “speaking different languages”: Local community officer sent a text (in english) to be translated to Welsh translator. Then, he received an automated “out-of-office” email message on Welsh language. He assumed that this was a response from the translator and put it on the traffic sign.
- A sender's system S is _semantically operable_ with a receiver's system R if and only if the follow condition holds for any data p that is transmitted from S to R: For every statement q that is implied by p on the system S, there is a statement q' on the system R that (1) is implied by p on the system R, and (2) is logically equivalent to q. the receiver must at least be able to derive a logically equivalent implication for every implication of the sender's system.
- Adding contexts improves expressiveness of a framework if there exist systems S 1 and S 2 , driven by the ontologies O 1 and O 2 , and if there exist alignment between these ontologies O 1 ≡O 2 , the competence of O 1 will be improved and S 1 will be enabled to make more qualified conclusions about its domain of interest
- SCOR-MAP is a central ontology. It imports (blue arrows) domain ontologies, implicit SCOR model represented in OWL (SCOR-KOS OWL), SCOR’s semantic enrichment (SCOR-FULL OWL) and all local ontologies. SCOR-MAP stores the SWRL rules which are used to represent correspondences between all these models. Focus of this paper is on what is inside purple boxes.