Basic Mapping
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To address issues with basic mappings, the paper proposes nested mappings which allow mapping formulas to be arbitrarily nested within each other. The algorithm first computes source and target tableaux representing the schema types and relationships. It then generates basic mappings by pairing tableaux and matching their common elements. Basic mappings are pruned if they are subsumed by or implied by other mappings. A mapping is considered nestable within another if their tableaux and element matches satisfy certain conditions.
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In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Things to Consider When Choosing a Website Developer for your Website | FODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Mind map of terminologies used in context of Generative AI
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“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
CAKE: Sharing Slices of Confidential Data on Blockchain
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
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Basic Mapping
- 1. Nesting Mappings: Basic Mapping VLDB ‘06,September 12-15,2006 Author: Ariel Fuxman , Mauricio A. Hernandez , Howard Ho Renee J. Miller, Paolo Papotti , Lucian Popa 1
- 2. Mapping Scenario Source Schema Target Schema 2
- 3. 3
- 4. 4
- 5. Basic Mapping Disadvantage:1.Inefficiency in execution.2.Redundancy in the specification.3.Underspecified grouping semantic. 5
- 6. Nesting Mapping To handle the above issues , we proposed an extension to basic mappings based on arbitrary nesting of mapping formulas within other mapping formulas. We call this formalism nested mappings. 6
- 7. Basic Mapping Algorithm Step 1:Computation tableaux. Step 2:Generation of basic mapping. Step 3:Pruning of basic mapping. 7
- 8. Tableaux Each tableaux is primarily an encoding of one set type of a schema (for source schema and target schema). Tableaux include all related set types, that is, set types must exist together according to the parent-child relationship in the schema. 8
- 9. Computation of tableaux For each set type T ,we create primary path spells out the navigation path from root to elements of T. For each intermediate set ,there is a variable to denote elements of the intermediate set. Tableaux is obtained by primary path. 9
- 10. Source and Target tableaux sdfasdf 10
- 11. Generators We consider all the atomic type element that can be referred to from the variables in the tableaux for mapping purpose. We call the variables that appear in the tableaux generators. Ex:B3 includes dname, budget , ename , salary , pname , pid. 11
- 12. Generation of basic mapping(1/2) Basic mappings are generated by pairing in all the possible ways the source and the target tableaux. For each pair(A,B) of tableaux , let V denote the set of elements that are covered by both tableau A and tableau B . For example: (A1,B1)=>dname. (A1,B4)=>dname ,pname. 12
- 13. Generation of basic mapping(2/2) We write the basic represented by (A,B,V) as . Not all the possible (A,B,V) can generate actual mappings. We generate a basic mapping only if it is not subsumed and not impliedby other basic mapping. 13
- 14. Subtableau 14
- 15. Tableaux hierarchies For each schema , the subtableau relationship induces a directed acyclic graph of tableaux, with an edge from A to A’ whenever A<=A’ 15
- 16. Pruning of basic mapping The pruning step reduce the number of candidate mappings that the nesting algorithm will have to explore. We generate a basic mapping only if it is not subsumed and not impliedby other basic mapping. 16
- 17. Subsumed A basic mapping is subsumed by a basic mapping ,if A,B are subtableaux of A’,B’ ,with at least one being strict , V = V’ By subsumption condition ,we don’t have to consider (A,B,V) since it’s covered by (A’,B’,V’) For example: 17
- 18. Imply A basic mapping may be logically implied by another basic mapping. There is a simpler test suffices as follow: 18
- 19. Nestable We call a basic mapping is nestable inside a basic mapping if the following holds: A2 ,B2are strict subtableaux of A1 ,B1,respectively. V2 is a strict superset of V1. There is no correspondence v in V2-V1 whose target elements are covered by B1 19
- 20. Nestable (Example) Nestable inside A2 ,B3are strict subtableauxof A1 ,B4,respectively. {d,p,e,s} is a strict superset of {d,p}. There is no correspondence v in V2-V1 whose target elements are covered by B4 20