Building Semantic Web Portals with WebML

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Current conceptual models and methodologies for Web applications concentrate on content, navigation, and service modeling. Although some of them are meant to address semantic web applications too, they do not fully exploit the whole potential deriving from interaction with ontological data sources and and from Semantic annotations. This paper proposes an extension to Web application conceptual models toward Semantic Web. We devise an extension of the WebML modeling framework that fulfills most of the design requirements emerging for the new area of Semantic Web. We generalize the development process to cover Semantic Web and we devise a set of new primitives for ontology importing and querying. Finally, an implementation prototype of the proposed concepts is proposed within the commercial tool WebRatio.

Tecnologia

Building Semantic Web Portals with WebML Marco Brambilla and Federico M. Facca ICWE 2007 Como, 20th July 2007 http://home.dei.polimi.it/mbrambil http://twitter.com/MarcoBrambi http://www.slideshare.net/mbrambil

Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Introduction Requirements for metamodels of Semantic Web applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Extending WebML towards Semantic Web ,[object Object],+ Reuse of existing ontological data source + Specialized units for advanced queries over semantic data and annotation extraction

Extending WebML towards Semantic Web ,[object Object]

Extending WebML towards Semantic Web Evolving existing primitives ,[object Object],[object Object],instance uri class uri e.g. mf:Artist no input class uri e.g. vin:RedWine […] […] […] […]

Extending WebML towards Semantic Web New Advanced units for ontology querying Is x subproperty of y? Or: find subproperties/ find superproperties The list of URIs where property p has value v Or: find values/ find properties Is x property of y? Or: find the properties/ find the class Is x an instance of y? Or: find instances/ find classes Is x subclass of y? Or: find subclasses/ find superclasses

Extending WebML towards Semantic Web New Advanced units for ontology querying class uri instance uris instace uri classes uris instace & class uri boolean

Extending WebML towards Semantic Web Primitives for Ontology management ,[object Object],[object Object],[object Object]

Extending WebML towards Semantic Web Example of Usage of Advanced Units The value submitted in the form is passed to the HasPropertyValue unit that extracts a set of URIs of instances (albums or artists) with mm:soundsLike property equal to Val. The InstanceOf unit that checks if they are instances of the class Artist. The URIs are then shown in a list of Artists.

Implementation expirience ,[object Object],[object Object],[object Object]

Implementation expirience ,[object Object],[object Object],Design Time Descriptor Runtime Descriptor <SWINDEXUNIT class="mf:Track" id="swinu1" name="Tracks" ontology="onto1"> <DisplayedProperties property="mf:title"/> <DisplayedProperties property="mf:descripion"/> <SortProperties order="ascending" property="mf:title"/> <Filter boolean="or"> <FilterCondition id="fselector1" property="mf:playedBy" predicate="eq" name="Artist"/> </Filter> </SWINDEXUNIT> <descriptor service="org.webml.onto. SWIndexUnitService"> <onto>onto1</onto> ... <input-params> <input-param type="mm:Artist" name="swdau2.rdf:ID" /> </input-params> ... <query type="SELECT"> SELECT DISTINCT ?instance ?p1 ?p2 WHERE {?instance rdf:type mm:Track . ?instance mm:title ?p1 . ?instance mm:descriptor ?p2 . ?instance mm:playedBy ?fs1 . FILTER (?fs1 = $swdau2.rdf:ID$)} ORDER BY DESC(?p1) </query> </descriptor>

Conclusions & Future Works ,[object Object],[object Object],[object Object],[object Object],[object Object]

Thanks for the attention! ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],http://home.dei.polimi.it/mbrambil http://twitter.com/MarcoBrambi http://www.slideshare.net/mbrambil

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💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨‍🏫👨‍💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

UiPathCommunity

Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Victor Rentea

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

presentation ICT roal in 21st century education

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

DBX First Quarter 2024 Investor Presentation

Dropbox

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

ICT role in 21st century education and its challenges

rafiqahmad00786416

AXA XL - Insurer Innovation Award Americas 2024

The Digital Insurer

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

Dubai, known for its towering skyscrapers, luxurious lifestyle, and relentless pursuit of innovation, often finds itself in the global spotlight. However, amidst the glitz and glamour, the emirate faces its own set of challenges, including the occasional threat of flooding. In recent years, Dubai has experienced sporadic but significant floods, disrupting normalcy and posing unique challenges to its infrastructure. Among the critical nodes in this bustling metropolis is the Dubai International Airport, a vital hub connecting the world. This article delves into the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Orbitshub

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

Zilliz

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...

Zilliz

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Edi Saputra

The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

apidays

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Product Anonymous

Building Semantic Web Portals with WebML

1. Building Semantic Web Portals with WebML Marco Brambilla and Federico M. Facca ICWE 2007 Como, 20th July 2007 http://home.dei.polimi.it/mbrambil http://twitter.com/MarcoBrambi http://www.slideshare.net/mbrambil

8. Extending WebML towards Semantic Web New Advanced units for ontology querying Is x subproperty of y? Or: find subproperties/ find superproperties The list of URIs where property p has value v Or: find values/ find properties Is x property of y? Or: find the properties/ find the class Is x an instance of y? Or: find instances/ find classes Is x subclass of y? Or: find subclasses/ find superclasses

9. Extending WebML towards Semantic Web New Advanced units for ontology querying class uri instance uris instace uri classes uris instace & class uri boolean

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11. Extending WebML towards Semantic Web Example of Usage of Advanced Units The value submitted in the form is passed to the HasPropertyValue unit that extracts a set of URIs of instances (albums or artists) with mm:soundsLike property equal to Val. The InstanceOf unit that checks if they are instances of the class Artist. The URIs are then shown in a list of Artists.

12. Case Study Example

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Building Semantic Web Portals with WebML

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