The document describes WikiVote!, a wiki-based online voting and evaluation tool. It can be used to collect input from stakeholders on various topics. WikiVote! allows creating surveys with different question types, collecting votes from participants in different groups, and dynamically updating questions based on previous answers. It also supports evaluating options against multiple criteria. The tool aims to provide an easy to use platform for participatory decision-making and consensus building.
This document summarizes lessons learned from developing semantic wikis. It discusses how semantic wikis differ from traditional wikis by embedding structured metadata and propagating that metadata via semantic queries. It then outlines key features for different user groups, including improved data generation and propagation tools for end users, and light-weight data modeling and fast prototyping for developers. Remaining issues are also discussed, such as managing public and personal data, improving scalability, and data portability and protection across multiple wikis.
knowIT is a collaborative semantic wiki used by Johnson & Johnson to map their IT systems, applications, servers and stakeholders. It aims to capture knowledge about these informatics systems, their relationships and components to answer questions, facilitate knowledge sharing and enable self-service. The wiki uses Semantic MediaWiki and has grown to include systems portfolio management, configuration management and other features to increase IT systems knowledge across the organization.
This document discusses knowledge wikis and Semantic MediaWiki (SMW). SMW adds structured data and semantic web capabilities to MediaWiki wikis. It allows defining classes, properties, and relationships to build a knowledge graph. Properties can link to external vocabularies and identifiers. SMW supports querying the graph through its internal query language or by exporting data to a SPARQL endpoint. Use cases mentioned include history, knowledge management, and research wikis. The presenter is an expert in knowledge management and SMW who consults on its implementation and best practices.
Presentation about Semantic MediaWiki and Semantic Forms given by Sergey Chernyshev and Yaron Koren at "Semantic Wikis" (March 2008 NY SemWeb Meetup) on March 13, 2008
Knowledge Graph Conference 2021
Semantic MediaWiki (SMW), which was introduced as early as in 2006, has since gone on to establish a vital community and is currently one of the few semantic wiki solutions still in existence. SMW is an extension of MediaWiki, the software used for Wikipedia and many other projects, resulting in a largely sustainable codebase and ecosystem. There are many reasons why SMW should not be overlooked by the knowledge graph community:
SMW is capable of directly connecting to several triple stores (Blazegraph, Virtuoso, Jena), which is why it can be considered an interface for entering data into knowledge graphs.
SMW can use its internal relational database (or ElasticSearch), enabling users to build simple knowledge graphs without in-depth knowledge about triple stores.
SMW has the built-in capability of exporting to RDF including building complete RDF data dumps that can be imported into existing knowledge graphs.
SMW has the capability to reuse existing ontologies by importing vocabularies and providing unique identifiers.
The explicit semantic content of Semantic MediaWiki is formally interpreted in the OWL DL ontology language and is made available in XML/RDF format.
A simple internal query language is available to query the internal knowledge graph from within SMW, without the requirement of having a SPARQL endpoint. However, extensions for implementing SPARQL in SMW are available as well.
SMW has the capability to enable data curation for experienced users responsible for the ontology as well as simple form-based input for regular users that can easily populate the KG with data.
There are several approaches to visualizing data in SMW, thus making the knowledge graph visible and interactive.
Implementing custom ontologies in SMW is quite easy, everything is built-in wiki pages (e.g. definition of properties and datatypes, forms and templates).
SMW has low barriers to implementation as it is a clean extension to MediaWiki, which is PHP software running on regular web hosts.
In the talk, I will give an overview of the mentioned aspects and highlight some main differences to Wikibase – which is an alternative approach for managing structured data in MediaWiki – as well as the current limitations of SMW.
DataPortability and Me: Introducing SIOC, FOAF and the Semantic WebJohn Breslin
The document discusses data portability across social media sites and proposes solutions using semantic web technologies. It introduces SIOC (Semantically-Interlinked Online Communities), FOAF (Friend-of-a-Friend), and other standards that describe social objects and relationships to allow portability of user data between sites. Existing implementations that export social data in these formats are mentioned as a way to begin connecting isolated social platforms and giving users control over their data.
Geo-annotations in Semantic Digital Libraries mdabrowski
The document discusses using geo-annotations and ontologies in digital libraries. It describes JeromeDL, a social semantic digital library that allows users to collaboratively annotate resources with metadata like geotags. It also describes the MarcOnt initiative which aims to develop tools for a collaborative ontology about bibliographic resources to improve interoperability between digital libraries and enable semantic search.
The document discusses the Social Semantic Web and related technologies. It provides an overview of the growth of social networks and user-generated content online. It then discusses how semantic technologies can help connect isolated social communities and their data by adding machine-readable metadata. Key topics covered include the Semantic Web stack, linked data, ontologies for modeling social data like FOAF and SIOC, and applications like distributed identity and social recommendations.
Breaking Down Walls in Enterprise with Social SemanticsJohn Breslin
Keynote Talk at the Workshop on New Trends in Service Oriented Architecture for massive Knowledge processing in Modern Enterprise (SOA-KME 2012) / Palermo, Italy / 6th July 2012
PoolParty Thesaurus Management - ISKO UK, London 2010Andreas Blumauer
Building and maintaining thesauri are complex and laborious tasks. PoolParty is a Thesaurus Management Tool (TMT) for the Semantic Web, which aims to support the creation and maintenance of thesauri by utilizing Linked Open Data (LOD), text-analysis and easy-to-use GUIs, so thesauri can be managed and utilized by domain experts without needing knowledge about the semantic web. Some aspects of thesaurus management, like the editing of labels, can be done via a wiki-style interface, allowing for lowest possible access barriers to contribution.
The document describes WikiVote!, a wiki-based online voting and evaluation tool. It can be used to collect input from stakeholders on various topics. WikiVote! allows creating surveys with different question types, collecting votes from participants in different groups, and dynamically updating questions based on previous answers. It also supports evaluating options against multiple criteria. The tool aims to provide an easy to use platform for participatory decision-making and consensus building.
This document summarizes lessons learned from developing semantic wikis. It discusses how semantic wikis differ from traditional wikis by embedding structured metadata and propagating that metadata via semantic queries. It then outlines key features for different user groups, including improved data generation and propagation tools for end users, and light-weight data modeling and fast prototyping for developers. Remaining issues are also discussed, such as managing public and personal data, improving scalability, and data portability and protection across multiple wikis.
knowIT is a collaborative semantic wiki used by Johnson & Johnson to map their IT systems, applications, servers and stakeholders. It aims to capture knowledge about these informatics systems, their relationships and components to answer questions, facilitate knowledge sharing and enable self-service. The wiki uses Semantic MediaWiki and has grown to include systems portfolio management, configuration management and other features to increase IT systems knowledge across the organization.
This document discusses knowledge wikis and Semantic MediaWiki (SMW). SMW adds structured data and semantic web capabilities to MediaWiki wikis. It allows defining classes, properties, and relationships to build a knowledge graph. Properties can link to external vocabularies and identifiers. SMW supports querying the graph through its internal query language or by exporting data to a SPARQL endpoint. Use cases mentioned include history, knowledge management, and research wikis. The presenter is an expert in knowledge management and SMW who consults on its implementation and best practices.
Presentation about Semantic MediaWiki and Semantic Forms given by Sergey Chernyshev and Yaron Koren at "Semantic Wikis" (March 2008 NY SemWeb Meetup) on March 13, 2008
Knowledge Graph Conference 2021
Semantic MediaWiki (SMW), which was introduced as early as in 2006, has since gone on to establish a vital community and is currently one of the few semantic wiki solutions still in existence. SMW is an extension of MediaWiki, the software used for Wikipedia and many other projects, resulting in a largely sustainable codebase and ecosystem. There are many reasons why SMW should not be overlooked by the knowledge graph community:
SMW is capable of directly connecting to several triple stores (Blazegraph, Virtuoso, Jena), which is why it can be considered an interface for entering data into knowledge graphs.
SMW can use its internal relational database (or ElasticSearch), enabling users to build simple knowledge graphs without in-depth knowledge about triple stores.
SMW has the built-in capability of exporting to RDF including building complete RDF data dumps that can be imported into existing knowledge graphs.
SMW has the capability to reuse existing ontologies by importing vocabularies and providing unique identifiers.
The explicit semantic content of Semantic MediaWiki is formally interpreted in the OWL DL ontology language and is made available in XML/RDF format.
A simple internal query language is available to query the internal knowledge graph from within SMW, without the requirement of having a SPARQL endpoint. However, extensions for implementing SPARQL in SMW are available as well.
SMW has the capability to enable data curation for experienced users responsible for the ontology as well as simple form-based input for regular users that can easily populate the KG with data.
There are several approaches to visualizing data in SMW, thus making the knowledge graph visible and interactive.
Implementing custom ontologies in SMW is quite easy, everything is built-in wiki pages (e.g. definition of properties and datatypes, forms and templates).
SMW has low barriers to implementation as it is a clean extension to MediaWiki, which is PHP software running on regular web hosts.
In the talk, I will give an overview of the mentioned aspects and highlight some main differences to Wikibase – which is an alternative approach for managing structured data in MediaWiki – as well as the current limitations of SMW.
DataPortability and Me: Introducing SIOC, FOAF and the Semantic WebJohn Breslin
The document discusses data portability across social media sites and proposes solutions using semantic web technologies. It introduces SIOC (Semantically-Interlinked Online Communities), FOAF (Friend-of-a-Friend), and other standards that describe social objects and relationships to allow portability of user data between sites. Existing implementations that export social data in these formats are mentioned as a way to begin connecting isolated social platforms and giving users control over their data.
Geo-annotations in Semantic Digital Libraries mdabrowski
The document discusses using geo-annotations and ontologies in digital libraries. It describes JeromeDL, a social semantic digital library that allows users to collaboratively annotate resources with metadata like geotags. It also describes the MarcOnt initiative which aims to develop tools for a collaborative ontology about bibliographic resources to improve interoperability between digital libraries and enable semantic search.
The document discusses the Social Semantic Web and related technologies. It provides an overview of the growth of social networks and user-generated content online. It then discusses how semantic technologies can help connect isolated social communities and their data by adding machine-readable metadata. Key topics covered include the Semantic Web stack, linked data, ontologies for modeling social data like FOAF and SIOC, and applications like distributed identity and social recommendations.
Breaking Down Walls in Enterprise with Social SemanticsJohn Breslin
Keynote Talk at the Workshop on New Trends in Service Oriented Architecture for massive Knowledge processing in Modern Enterprise (SOA-KME 2012) / Palermo, Italy / 6th July 2012
PoolParty Thesaurus Management - ISKO UK, London 2010Andreas Blumauer
Building and maintaining thesauri are complex and laborious tasks. PoolParty is a Thesaurus Management Tool (TMT) for the Semantic Web, which aims to support the creation and maintenance of thesauri by utilizing Linked Open Data (LOD), text-analysis and easy-to-use GUIs, so thesauri can be managed and utilized by domain experts without needing knowledge about the semantic web. Some aspects of thesaurus management, like the editing of labels, can be done via a wiki-style interface, allowing for lowest possible access barriers to contribution.
Interlinking Online Communities and Enriching Social Software with the Semant...John Breslin
This document summarizes a presentation about interlinking online communities using Semantic Web technologies. It discusses:
1. The SIOC (Semantically-Interlinked Online Communities) project which aims to semantically connect online discussion sites through a common data model.
2. How SIOC represents the structure and content of communities using RDF properties and classes. Communities can then exchange and query data using common semantics.
3. Tools that export community data into RDF using SIOC, including for WordPress, vBulletin, and phpBB. This allows interlinking users, content, and activities across sites.
Digital Library Applications Of Social Networking Jeju Intl Conferenceguestbba8ac
Digital Library Applications of Social Networking discusses how social networking can be applied in libraries. It outlines how social networking sites like LibraryThing and Delicious allow users to interact and share resources. The document also discusses using linked data and semantic web standards like SKOS, RDF, and FRBR to represent controlled vocabularies and metadata in a way that is interoperable on the web. Representing this data semantically allows resources to be better discovered and connected across systems.
SharePoint Developer Education Day Palo Altollangit
The document provides an overview of the topics that will be covered in a SharePoint developer training session, including SharePoint developer tools, containers and metadata, user objects like web parts and lists, data and security features, workflows, InfoPath, the Business Data Catalog (BDC), and a session summary. Key tools that will be discussed include SharePoint Designer, Visual Studio, and features. The history and capabilities of SharePoint will also be reviewed.
Data Accessibility and Me: Introducing SIOC, FOAF and the Linked Data WebJohn Breslin
The document discusses the need for data portability across social media services so that users can access all of their data in one place. It proposes using semantic web technologies like FOAF, SIOC, and linked data to connect user profiles and content across different sites and applications. This would allow users to access and reference their data from any service, as well as see all of their information as part of the larger web of linked data. The document outlines some existing initiatives and technologies that could be used to achieve this goal of universal data access and portability.
A Short Tutorial to Semantic Media Wiki (SMW) Jie Bao
This document provides an outline for a tutorial on Semantic MediaWiki (SMW). SMW allows semantic annotation of wiki pages, treating them as a lightweight semantic database. It covers what SMW is, how to edit pages semantically, browsing annotated data, using semantics for end users and developers, example applications, and additional resources.
Similar to Semantic social profile_a_semantic_boost_for (20)
Developing standards of professional activity with Semantic MediaWikiYury Katkov
The document discusses developing professional standards using a wiki-based solution. It outlines building standards by defining working functions that describe job tasks, skills, knowledge and qualities needed. People contribute by creating functions, voting, and evaluating them. The system structures functions into categories and qualification levels. It implements the standard structure and development process in Semantic MediaWiki, allowing voting, evaluation and exporting the final standard to Word. An initial pilot to develop a manager standard was partly accepted by the government.
Today, as always, there are many different initiatives underway to help improve the way we develop software. The most popular and prevalent of which is the Agile Movement. One of the new kids on the block is the SEMAT initiative. As with any new initiative people are struggling to see how it fits into the world and how it relates to all the other things going on. For example does it improve or replace their current ways of working. Is it something like lean that supports and furthers the aims of the Agile Movement, or is it something like waterfall planning that is in opposition to an agile approach?
The good news is that both Agile and SEMAT promote non-prescriptive value-based philosophies that encourage software development teams to select and use whatever practices best fit their context and, most importantly, continuously inspect, adapt and improve their way of working. In this keynote we will look at how these two initiatives complement one another, providing the perfect foundation for teams that want to master the art of software development.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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!
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
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.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
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.
“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.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems