SETS
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The document presents a semantic approach called SETS (Semantic eTendering System) for evaluating offers in electronic tendering (eTendering) systems. It discusses problems with current non-semantic eTendering evaluation and proposes using semantic web technologies like ontologies, RDF, and SBVR (Semantics of Business Vocabulary and Business Rules) to formally represent tender offers and requirements to enable automated semantic evaluation and ranking of offers. The SETS model, architecture, operational model, and mathematical model are described for performing this semantic evaluation of tender offers in eTendering systems.
![eTendering Systems
RDF
Resource Description Framework
Sentence
[sells]
[Jane] [books]
Subject predicate object
Jane sells books
[statement]
18](https://image.slidesharecdn.com/sets-121027054622-phpapp02/85/SETS-18-320.jpg)
SETS
- 1. A Semantic Approach for Evaluating Offers in eTendering Supervised by Ammar Kheirbek, Ph.D. Alaa Ayash Amer Kawarit Bahaa Alhinnawi Eyad Haddad Saeed Eldah
- 2. Plan Introduction eTendering Systems SETS Model Conclusion & Perspectives Demo 2
- 3. Plan Introduction eTendering Systems SETS Model Conclusion & Perspectives Demo 3
- 4. Introduction Traditional Tendering Economic Activities Public Organizations Project Implementation Needs Insurance 4
- 5. Introduction Problems Evaluating Wasting Time Place Restriction 5
- 6. Plan Introduction eTendering Systems SETS Model Conclusion & Perspectives Demo 6
- 7. eTendering Systems Definition 7
- 8. eTendering Systems Partially Automated Tender eTendering Website Tenderers Tenderees 8 Winner(s)
- 9. eTendering Systems Fully Automated Tender Tenderers Winner(s) 9
- 10. eTendering Systems eTendering Evaluation AHP 10
- 11. eTendering Systems eTendering Evaluation AHP Algorithm Relative Weights TechnicalCriteria Define Offers Ranked Offers 11
- 12. eTendering Systems Problems Misunderstanding SBVR Semantics of Business Vocabulary & Business Rules 12
- 13. Introduction Systems eTendering SBVR Business Community Misunderstanding IT Community 13
- 14. Introduction Systems eTendering SBVR Component Terms product, customer Fact Logical product is bought by a customer Type Formulation it is obligatory that a product is given to Rules customer after payment is completed 14
- 15. eTendering Systems Problems Technical Offer Evaluation Winner!! Model: Chana Technical Power: 5000H specification Price: 50000$ Model: European Power: 5000H Max price: 100000$ Semantic web Technical Offer Model: Volvo Non-semantic Power: 5000H Evaluation Price: 90000$ 15
- 16. eTendering Systems Semantic Web Overview Understand the content of web pages I Now Understand But I I Understand DON’T WEB PAGE <body> Jack Jack bought a NEW <font color=“Magenta">bought</font> <RDF> a NEW Computer <Subject> Jack </Subject> <i>Computer</i> <Predicate> Buy </Predicate> </body> <Object> Computer </Object> </RDF> 16 Ontology
- 17. eTendering Systems Semantic Web Layers Rules Data Data Desc & Docs 17
- 18. eTendering Systems RDF Resource Description Framework Sentence [sells] [Jane] [books] Subject predicate object Jane sells books [statement] 18
- 19. eTendering Systems Semantic Web Layers Rules Data Data Desc & Docs 19
- 20. eTendering Systems Ontology C1 C2 C5 C3 C4 C6 20
- 21. eTendering Systems Problem We Need Inferencing! Information Retrieval 21
- 22. eTendering Systems Information Retrieval Models Logical Model Boolean Model D Q 𝑠 Probabilistic Model Vectorial Model 22
- 23. Plan Introduction eTendering Systems SETS Model Conclusion & Perspectives Demo 23
- 24. Introduction SETS SETS Semantic eTendering System 24
- 25. Introduction SETS Semantic eTendering Web SETS SBVR Information Retrieval 25
- 26. Introduction SETS SETS Architecture Tenderers Tenderee Evaluation RDF XML Authoring Tools Non Semantic Ranking Exclusion Filtration Corpus Semantic Ranking 26
- 27. SETS Introduction SETS Operational Model Document Model Dynamic Document Item Static Document Structured Item Name = CPU Freq = 3.0 Ghz Non- Structured Quantity = 5 Description: CPU has multi core 27
- 28. SETS SETS Operational Model SBVR to RDF RDF SBVR 𝑂𝑚𝑒𝑡𝑎 T: pilot T: plane F: pilot fly plane 28
- 29. SETS SETS Operational Model Ranking Document Query Ontology Pre Pre ?r Prob Sub Obj Distance Pre Pre ?r Prob Sub Obj Pre Pre Sub Obj ?r Prob 29
- 30. Introduction SETS SETS Mathematical Model SETS =< 𝑠𝑒𝑟𝑣𝑖𝑐𝑒𝑠, 𝑈𝑠𝑒𝑟𝑠 > 𝑆𝑒𝑟𝑣𝑖𝑐𝑒𝑠 =< 𝑃𝑟𝑒𝑟𝑒𝑞𝑢𝑒𝑠𝑡, 𝐼, 𝑂 > 𝑈𝑠𝑒𝑟𝑠 =< 𝑈𝑠𝑒𝑟𝐴𝑐𝑐𝑜𝑢𝑛𝑡, 𝑈𝑠𝑒𝑟𝑅𝑜𝑙𝑒 > 30
- 31. SETS SETS Mathematical Model 𝑆𝑒𝑟𝑣𝑖𝑐𝑒𝑠 =< 𝑃𝑟𝑒𝑟𝑒𝑞𝑢𝑒𝑠𝑡, 𝐼, 𝑂 > Sign in as Evaluate Tenderee tender 31
- 32. SETS SETS Mathematical Model 𝑈𝑠𝑒𝑟𝑠 =< 𝑈𝑠𝑒𝑟𝐴𝑐𝑐𝑜𝑢𝑛𝑡, 𝑈𝑠𝑒𝑟𝑅𝑜𝑙𝑒 > 𝑈𝑠𝑒𝑟𝐴𝑐𝑐𝑜𝑢𝑛𝑡 =< 𝑈𝑠𝑒𝑟𝑁𝑎𝑚𝑒, 𝑃𝑎𝑠𝑠𝑤𝑜𝑟𝑑 > 𝑈𝑠𝑒𝑟𝑅𝑜𝑙𝑒 =< 𝑇𝑒𝑛𝑑𝑒𝑟𝑒𝑒, 𝑇𝑒𝑛𝑑𝑒𝑟𝑒𝑟 > Role: Tenderee 32
- 33. SETS SETS Mathematical Model Document Model 𝑇𝑂 = 𝑖 | 𝑖 ∈ 𝐼 𝑖 = < 𝑆 , 𝑈𝑆 > 𝑆 = < 𝑎𝑡𝑡, 𝑣𝑎𝑙, 𝑐𝑜𝑑 > 𝑈𝑆 = < 𝐷𝑒𝑠𝑐 > 33
- 34. SETS SETS Mathematical Model SBVR to RDF 𝑆𝐵𝑉𝑅 = 𝑣𝑜𝑐𝑎𝑏𝑢𝑙𝑎𝑟𝑦, 𝑓𝑎𝑐𝑡, 𝑟𝑢𝑙𝑒 𝑣𝑜𝑐𝑎𝑏𝑢𝑙𝑎𝑟𝑦 = 𝑡𝑒𝑟𝑚, 𝑣𝑒𝑟𝑏 𝑡𝑒𝑟𝑚 = 𝑐 𝑐 ∈ 𝑂} 𝑶𝒎𝒆𝒕𝒂: 𝒇𝒂𝒄𝒕 → 𝑹𝑫𝑭 34
- 35. SETS SETS Mathematical Model Ranking 0 𝑖𝑓 𝑐1 = 𝑐2 𝐷𝑖𝑠𝑡𝑎𝑛𝑐𝑒(𝐶1 , 𝐶2 ) = α + log 𝑐ℎ𝑖𝑙𝑑𝑁𝑢𝑚𝑏𝑒𝑟 𝑥 + 𝑚𝑖𝑛{𝑑𝑖𝑠𝑡𝑎𝑛𝑐𝑒 (𝑐1 , 𝑐2 )} 35
- 36. Plan Introduction eTendering Systems SETS Model Conclusion & Perspectives Demo 36
- 37. Conclusion SETS Semantic evaluation NonSemantic evaluation SBVR to RDF 37
- 38. Perspective Semantic Environment For Smart Agent Support Multi-Language Tendering Information System For Tendering Another Business Domain 38
- 39. Plan Introduction eTendering Systems SETS Model Conclusion & Perspectives Demo 39
- 40. Thank you 40