Markus Strohmaier presented research on extracting semantics from crowdsourced data. The goals are to utilize online crowd behavior for constructing and maintaining large-scale semantic structures. Methods discussed include analyzing social labeling with hashtags, social tagging patterns like tag relatedness and hierarchies, and extracting knowledge from social navigation. A prototype called HANNE uses inductive concept learning from navigation data to enrich knowledge bases. The research aims to scale semantic extraction to very large groups and online contexts while maintaining semantic quality.
Identification of Learning Goals in Forum-based CommunitiesMilos Kravcik
When Internet users search for information, surf on websites or discuss with others, their actions are driven by certain goals. Extraction of users' goals can enable higher effectiveness and accuracy of web services. Supporting users in based on their goals can be highly beneficial, especially supporting of learners in the preparation for an exam as a learning process, Different phases of learning are identified when users learn collaboratively. We scrutinize how goals are constructed and achieved within a community, examining not only social activities based on patterns of behavior, but also emotions and intents users express in their posts. As a result we elicit users’ goals. We achieved good accuracy in defining emotions of users and recognizing their intents and social patterns in our case. Here we discuss how the obtained results contribute to mining of learning community goals.
Modern learning models require linking experiences in training environments with experiences in the real-world. However, data about real-world experiences is notoriously hard to collect. Social spaces bring new opportunities to tackle this challenge, supplying digital traces where people talk about their real-world experiences. These traces can become valuable resource, especially in ill-defined domains that embed multiple interpretations. The paper presents a unique approach to aggregate content from social spaces into a semantic-enriched data browser to facilitate informal learning in ill-defined domains. This work pioneers a new way to exploit digital traces about real-world experiences as authentic examples in informal learning contexts. An exploratory study is used to determine both strengths and areas needing attention. The results suggest that semantics can be successfully used in social spaces for informal learning – especially when combined with carefully designed nudges.
With physical mobile interaction techniques, digital devices can make use of real-world objects in order to interact with them. In this paper, we evaluate and compare state-of-the-art interaction methods in an extensive survey with 149 participants and in a lab study with 16 participants regarding efficiency, utility and usability. Besides radio communication and fiducial markers, we consider visual feature recognition, reflecting the latest technical expertise in object identification. We conceived MobiMed, a medication package identifier implementing four interaction paradigms: pointing, scanning, touching and text search.
We identified both measured and perceived advantages and disadvantages of the individual methods and gained fruitful feedback from participants regarding possible use cases for MobiMed. Touching and scanning were evaluated as fastest in the lab study and ranked first in user satisfaction. The strength of visual search is that objects need not be augmented, opening up physical mobile interaction as demon- strated in MobiMed for further fields of application.
Identification of Learning Goals in Forum-based CommunitiesMilos Kravcik
When Internet users search for information, surf on websites or discuss with others, their actions are driven by certain goals. Extraction of users' goals can enable higher effectiveness and accuracy of web services. Supporting users in based on their goals can be highly beneficial, especially supporting of learners in the preparation for an exam as a learning process, Different phases of learning are identified when users learn collaboratively. We scrutinize how goals are constructed and achieved within a community, examining not only social activities based on patterns of behavior, but also emotions and intents users express in their posts. As a result we elicit users’ goals. We achieved good accuracy in defining emotions of users and recognizing their intents and social patterns in our case. Here we discuss how the obtained results contribute to mining of learning community goals.
Modern learning models require linking experiences in training environments with experiences in the real-world. However, data about real-world experiences is notoriously hard to collect. Social spaces bring new opportunities to tackle this challenge, supplying digital traces where people talk about their real-world experiences. These traces can become valuable resource, especially in ill-defined domains that embed multiple interpretations. The paper presents a unique approach to aggregate content from social spaces into a semantic-enriched data browser to facilitate informal learning in ill-defined domains. This work pioneers a new way to exploit digital traces about real-world experiences as authentic examples in informal learning contexts. An exploratory study is used to determine both strengths and areas needing attention. The results suggest that semantics can be successfully used in social spaces for informal learning – especially when combined with carefully designed nudges.
With physical mobile interaction techniques, digital devices can make use of real-world objects in order to interact with them. In this paper, we evaluate and compare state-of-the-art interaction methods in an extensive survey with 149 participants and in a lab study with 16 participants regarding efficiency, utility and usability. Besides radio communication and fiducial markers, we consider visual feature recognition, reflecting the latest technical expertise in object identification. We conceived MobiMed, a medication package identifier implementing four interaction paradigms: pointing, scanning, touching and text search.
We identified both measured and perceived advantages and disadvantages of the individual methods and gained fruitful feedback from participants regarding possible use cases for MobiMed. Touching and scanning were evaluated as fastest in the lab study and ranked first in user satisfaction. The strength of visual search is that objects need not be augmented, opening up physical mobile interaction as demon- strated in MobiMed for further fields of application.
2010 June 13
Keynote talk given at the
Workshop for Modeling Social Media
ACM Hypertext 2010 Conference
Presenter: Ed H. Chi
Talk Title:
Model-driven Research for Augmenting Social Cognition
Short Abstract:
Model-driven research seeks to predict and to explain the phenomena in systems. The drive to do this for social computing research should further our understanding of how these systems evolve and develop. I will illustrate how we have modeled the dynamics in the popular social bookmarking system, Delicious, using Information Theory. I will also show how using equations from Evolutionary Dynamics we were better able to explain what might be happening to Wikipedia's contribution patterns.
Knowledge Management Cultures: A Comparison of Engineering and Cultural Scien...Ralf Klamma
This work in progress presents an approach to compare patterns of communication and knowledge organization in cultural and engineering science projects under the leading point of media use. The goal of the underlying project is to gain a better understanding on similarities and dierences in both areas and to develop more appropriate information system support for both areas. Central to the comparative analysis approach is a process knowledge repository which was successfully used in two case studies about real world information systems.
Technical Challenges for Realizing Learning AnalyticsRalf Klamma
Technical Challenges for Realizing Learning Analytics
Learntec 2015, January 28, 2015, Karlsruhe, Germany,
Ralf Klamma
Advanced Community Informations Systems (ACIS) Group
RWTH Aachen University
NYAI #27: Cognitive Architecture & Natural Language Processing w/ Dr. Catheri...Maryam Farooq
For more AI talks, visit: nyai.co
These slides are from NYAI #27: Cognitive Architecture & Natural Language Processing w/ Dr. Catherine Havasi, which took place Tues, 12/18/19 at Kirkland & Ellis NYC.
[Speaker Bio] Dr. Catherine Havasi is a technology strategist, artificial intelligence researcher, and entrepreneur. In the late 90s, she co-founded the Common Sense Computing Initiative, or ConceptNet, the first crowd-sourced project for artificial intelligence and the largest open knowledge graph for language understanding. ConceptNet has played a role in thousands of AI projects and will be turning 20 next year. She has started several companies commercializing AI research, including Luminoso where she acts as Chief Strategy Officer. She is currently a visiting scientist at the MIT Media Lab where she works on computational creativity and previously directed the Digital Intuition group.
[Abstract] People who build everything from entertainment experiences to financial management face a dilemma: how can you scale what you’re building for broader consumption, yet maintain the personalization that makes it special? A fundamental tension exists between building something individualized, and scaling it to consumers such as visitors at a theme park, or gamers exploring the latest Zelda adventure. True disruption happens when we overcome the idea that one must sacrifice personalization to achieve mass production — like it has in advertising, recommendations, and web search.
Artificial Intelligence practitioners, especially in natural language understanding, dialogue, and cognitive modeling, face the same issue: how can we personalize our models for all audiences without relying on unscalable efforts such as writing specific rules, building dialogue trees, or designing knowledge graphs? Catherine Havasi believes we can remove this dichotomy and achieve “mass personalization.” In this session we’ll discuss how to understand domain text and build believable digital characters. We’ll talk about how adding a little common sense, cognitive architectures, and planning is making this all possible.
nyai.co
Meaning as Collective Use: Predicting Semantic Hashtag Categories on TwitterGabriela Agustini
This paper sets out to explore whether data about the us-
age of hashtags on Twitter contains information about their
semantics. Towards that end, we perform initial statisti-
cal hypothesis tests to quantify the association between us-
age patterns and semantics of hashtags. To assess the util-
ity of pragmatic features { which describe how a hashtag
is used over time { for semantic analysis of hashtags, we
conduct various hashtag stream classication experiments
and compare their utility with the utility of lexical features.
Our results indicate that pragmatic features indeed contain
valuable information for classifying hashtags into semantic
categories. Although pragmatic features do not outperform
lexical features in our experiments, we argue that pragmatic
features are important and relevant for settings in which tex-
tual information might be sparse or absent (e.g., in social
video streams).
International workshop on semantic sensor web 2011ITACA-TSB
Cognitive Networks working on large scale are object of an increasing interest by both the scientific and the commercial point of view in the context of several environments and domains. The natural convergence point for these heterogeneous disciplines is the need of a strong advanced technologic support that enables the generation of distributed observations on large scale as well as the intelligent process of obtained information. An approach based on the Semantic Sensor Web could be the key issue for enabling semantic ecosystems among heterogeneous Cognitive Networks.
Ralf Klamma
Advanced Community Information Systems (ACIS)RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
Dresden, January 22, 2015
las2peer is a distributed, highly reliable and secure platform for creating community information systems and community services.
The main goal of las2peer is to provide a fast and flexible way to create services which may communicate with each other and their users through standard protocols. The used and stored information is handled in a trustworthy way and within full control of the communities.
Social Software and Community Information SystemsRalf Klamma
Social Software links social entities on the Internet. With this term we label new communication and collaboration media like wikis, blogs, social bookmarking but also traditional media supporting communities of practice. Scientific and professional communities challenge information systems engineering with high demands on traceable and secured collaboration and processing of scientific data. Flexibility, adaptation, interoperability are only a few requirements to mention.
With the advent of international standards XML-based standards like MPEG-7 for the handling of complex multimedia metadata and service oriented architectures engineers and community facilitators can create more generic services for the many communities with diverse but professional needs. Therefore, communities have to be incorporated in the community information systems engineering process.
In the talk we present a new reflective information system architecture called ATLAS offering self observation mechanisms for the establishment of a community-centered learning and improvement process for social software.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
2010 June 13
Keynote talk given at the
Workshop for Modeling Social Media
ACM Hypertext 2010 Conference
Presenter: Ed H. Chi
Talk Title:
Model-driven Research for Augmenting Social Cognition
Short Abstract:
Model-driven research seeks to predict and to explain the phenomena in systems. The drive to do this for social computing research should further our understanding of how these systems evolve and develop. I will illustrate how we have modeled the dynamics in the popular social bookmarking system, Delicious, using Information Theory. I will also show how using equations from Evolutionary Dynamics we were better able to explain what might be happening to Wikipedia's contribution patterns.
Knowledge Management Cultures: A Comparison of Engineering and Cultural Scien...Ralf Klamma
This work in progress presents an approach to compare patterns of communication and knowledge organization in cultural and engineering science projects under the leading point of media use. The goal of the underlying project is to gain a better understanding on similarities and dierences in both areas and to develop more appropriate information system support for both areas. Central to the comparative analysis approach is a process knowledge repository which was successfully used in two case studies about real world information systems.
Technical Challenges for Realizing Learning AnalyticsRalf Klamma
Technical Challenges for Realizing Learning Analytics
Learntec 2015, January 28, 2015, Karlsruhe, Germany,
Ralf Klamma
Advanced Community Informations Systems (ACIS) Group
RWTH Aachen University
NYAI #27: Cognitive Architecture & Natural Language Processing w/ Dr. Catheri...Maryam Farooq
For more AI talks, visit: nyai.co
These slides are from NYAI #27: Cognitive Architecture & Natural Language Processing w/ Dr. Catherine Havasi, which took place Tues, 12/18/19 at Kirkland & Ellis NYC.
[Speaker Bio] Dr. Catherine Havasi is a technology strategist, artificial intelligence researcher, and entrepreneur. In the late 90s, she co-founded the Common Sense Computing Initiative, or ConceptNet, the first crowd-sourced project for artificial intelligence and the largest open knowledge graph for language understanding. ConceptNet has played a role in thousands of AI projects and will be turning 20 next year. She has started several companies commercializing AI research, including Luminoso where she acts as Chief Strategy Officer. She is currently a visiting scientist at the MIT Media Lab where she works on computational creativity and previously directed the Digital Intuition group.
[Abstract] People who build everything from entertainment experiences to financial management face a dilemma: how can you scale what you’re building for broader consumption, yet maintain the personalization that makes it special? A fundamental tension exists between building something individualized, and scaling it to consumers such as visitors at a theme park, or gamers exploring the latest Zelda adventure. True disruption happens when we overcome the idea that one must sacrifice personalization to achieve mass production — like it has in advertising, recommendations, and web search.
Artificial Intelligence practitioners, especially in natural language understanding, dialogue, and cognitive modeling, face the same issue: how can we personalize our models for all audiences without relying on unscalable efforts such as writing specific rules, building dialogue trees, or designing knowledge graphs? Catherine Havasi believes we can remove this dichotomy and achieve “mass personalization.” In this session we’ll discuss how to understand domain text and build believable digital characters. We’ll talk about how adding a little common sense, cognitive architectures, and planning is making this all possible.
nyai.co
Meaning as Collective Use: Predicting Semantic Hashtag Categories on TwitterGabriela Agustini
This paper sets out to explore whether data about the us-
age of hashtags on Twitter contains information about their
semantics. Towards that end, we perform initial statisti-
cal hypothesis tests to quantify the association between us-
age patterns and semantics of hashtags. To assess the util-
ity of pragmatic features { which describe how a hashtag
is used over time { for semantic analysis of hashtags, we
conduct various hashtag stream classication experiments
and compare their utility with the utility of lexical features.
Our results indicate that pragmatic features indeed contain
valuable information for classifying hashtags into semantic
categories. Although pragmatic features do not outperform
lexical features in our experiments, we argue that pragmatic
features are important and relevant for settings in which tex-
tual information might be sparse or absent (e.g., in social
video streams).
International workshop on semantic sensor web 2011ITACA-TSB
Cognitive Networks working on large scale are object of an increasing interest by both the scientific and the commercial point of view in the context of several environments and domains. The natural convergence point for these heterogeneous disciplines is the need of a strong advanced technologic support that enables the generation of distributed observations on large scale as well as the intelligent process of obtained information. An approach based on the Semantic Sensor Web could be the key issue for enabling semantic ecosystems among heterogeneous Cognitive Networks.
Ralf Klamma
Advanced Community Information Systems (ACIS)RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
Dresden, January 22, 2015
las2peer is a distributed, highly reliable and secure platform for creating community information systems and community services.
The main goal of las2peer is to provide a fast and flexible way to create services which may communicate with each other and their users through standard protocols. The used and stored information is handled in a trustworthy way and within full control of the communities.
Social Software and Community Information SystemsRalf Klamma
Social Software links social entities on the Internet. With this term we label new communication and collaboration media like wikis, blogs, social bookmarking but also traditional media supporting communities of practice. Scientific and professional communities challenge information systems engineering with high demands on traceable and secured collaboration and processing of scientific data. Flexibility, adaptation, interoperability are only a few requirements to mention.
With the advent of international standards XML-based standards like MPEG-7 for the handling of complex multimedia metadata and service oriented architectures engineers and community facilitators can create more generic services for the many communities with diverse but professional needs. Therefore, communities have to be incorporated in the community information systems engineering process.
In the talk we present a new reflective information system architecture called ATLAS offering self observation mechanisms for the establishment of a community-centered learning and improvement process for social software.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
20240605 QFM017 Machine Intelligence Reading List May 2024
Extracting Semantics from Crowds
1. Knowledge Management Institute
Extracting Semantics from Crowds
Stanford Center for Biomedical Informatics Research, Colloquium
Stanford University, Palo Alto, CA
Jan 6th, 2010
Markus Strohmaier
Assistant Professor
Graz University of Technology, Austria
Visiting Scientist
(XEROX) PARC, USA
Markus Strohmaier 2011
1
2. Knowledge Management Institute
with …
D. H li C Kö
D Helic, C. Körner, J. Pöschko, C. W
J Pö hk C Wagner
(Graz University of Technology, Austria)
D. Benz, G
D Benz G. Stumme
(U. of Kassel, Germany)
A. Hotho
(U. of Würzburg, Germany)
S. Hellmann, J. Lehmann, C. Stadler, J. Unbehauen
(U. Leipzig,
(U of Leipzig Germany)
Markus Strohmaier 2011
2
3. Knowledge Management Institute
Classification Systems
in Information and Library Sciences
Usually produced and maintained by few
(e.g.
(e g dozens of) domain experts
experts.
but: used by many (potentially millions).
Can a very large group (a crowd) of users
contribute to ontology engineering efforts?
Markus Strohmaier 2011
3
4. Knowledge Management Institute
Crowdsourcing Semantics:
An Experiment (2008)
LoC
L C posted 3000 photos
t d h t
to flickr:
24 hours after launch:
• over 4,000 unique tags
• about 19,000 tags added
Output? noisy,
How can this data contribute to the
unstructured, unqualified,
induction of semantic structures? weak semantics
Markus Strohmaier 2011
4
5. Knowledge Management Institute
Research Agenda
Vision:
Vi i
Utilizing online behavior of crowds for
the construction, maintenance and enrichment
construction
of large-scale semantic structures.
Mission:
• to model behavior of large numbers (millions) of users online
• to develop techniques and algorithms that acquire semantic structures
from users‘ interaction with data
• to influence user behavior and emerging semantics
• to evaluate results
Markus Strohmaier 2011
5
6. Knowledge Management Institute
Extracting Semantics from …
Motivation
Social Labeling
• Hashtag Semantics
Social Tagging
• Tag Relatedness
• Tag Generality
• Tag Hierarchies
Social Navigation
• Navigational Knowledge
Engineering
g g
Markus Strohmaier 2011
6
7. Knowledge Management Institute
Activities of Users Online
Users engage in…
Labeling Tagging Navigation
Can we tap into the outcome of these
activities to extract semantic structures?
Markus Strohmaier 2011
7
8. Knowledge Management Institute
Extracting Semantics from Crowds
Motivation
Social Labeling
• Hashtag Semantics
Social Tagging
• Tag Relatedness
• Tag Generality
• Tag Hierarchies
Social Navigation
• Navigational Knowledge
Engineering
g g
Markus Strohmaier 2011
8
9. Knowledge Management Institute
Social Labeling
Example: Twitter
users label short messages
with concepts (hashtags)
Which hashtags behave as strong identifiers (if any), and could
they be mapped to concept identifiers in the Semantic Web
(URIs)?
[Laniado and Mika 2010]
Markus Strohmaier 2011
9
10. Markus Strohmaier
Knowledge Management Institute
with
and C.Wagner
2011 J. Pöschko
ConceptNet
developed by
C. Wagner, M. Strohmaie The Wisdom in Tw
W er, weetonomies: Acquiri ing Latent Conceptua Structures from So
al ocial Awareness Stre
eams,
10
Semmantic Search 2010 Workshop (SemSearch2
W 2010), in conjunction with the 19th Internatio
w onal World Wide Web Conference (WWW20
C 010),
Rale
eigh, NC, USA, April 26-30, ACM, 2010.
2
11. Markus Strohmaier
Knowledge Management Institute
such a network?
p
with
X is a subconcept of Y
e.g. X is more general than Y,
and C.Wagner
2011 J. Pöschko
ConceptNet
Can we qualify semantic associations in
ent
Ev-
ent
Ev-
developed by
C. Wagner, M. Strohmaie The Wisdom in Tw
W er, weetonomies: Acquiri ing Latent Conceptua Structures from So
al ocial Awareness Stre
eams,
11
Semmantic Search 2010 Workshop (SemSearch2
W 2010), in conjunction with the 19th Internatio
w onal World Wide Web Conference (WWW20
C 010),
Rale
eigh, NC, USA, April 26-30, ACM, 2010.
2
12. Knowledge Management Institute
Extracting Semantics from Crowds
Motivation
Social Labeling
• Hashtag Semantics
Social Tagging
• Tag Relatedness
• Tag Generality
• Tag Hierarchies
Social Navigation
• Navigational Knowledge
Engineering
g g
Markus Strohmaier 2011
12
13. Knowledge Management Institute
Social Tagging
Example: Delicious
Users label and categorize
Resources resources with concepts (tags)
Tags
Users
U
A folksonomy is a tuple F:= (U, T, R, Y) where
• th th
the three di j i t fi it sets U T R correspond t
disjoint, finite t U, T, d to user 1
– a set of persons or users u ∈ U
– a set of tags t ∈ T and
– a set of resources or objects r ∈ R tag 1 res. 1
• Y ⊆ U ×T ×R, called set of tag assignments
Markus Strohmaier 2011
13
14. Knowledge Management Institute
Tag Relatedness
Different
tag similiarity
measures
applied to del.icio.us
C. Cattuto, D. Benz, A. Hotho, G. Stumme, Semantic Grounding of Tag Relatedness in Social Bookmarking Systems, 7th International Semantic Web Conference
ISWC2008, LNCS 5318, 615-631 (2008).
Markus Strohmaier 2011
14
15. Knowledge Management Institute
Tag Generality
frequency
Del.icio.us
with D. Benz
et al.
D. Benz, C. Körner, A. Hotho, G. Stumme, M. Strohmaier, One Tag to bind them all: Measuring Term Abstractness in Social Metadata, Submitted to ESWC 2011.
Markus Strohmaier 2011
15
16. Knowledge Management Institute
Tag Hierarchy
TP..Taxonomic TR..Taxonomic TF..Taxonomic TO…Taxonomic
precision recall F measure overlap
Different folksonomy algorithms
with D. Helic
et al.
M. Strohmaier, D. Helic, D. Benz. Evaluation of Folksonomy Induction Algorithms. Submitted to the ACM Transactions on Intelligent Systems and Technology, (2011).
Markus Strohmaier 2011
16
17. Knowledge Management Institute
Extracting Semantics from Crowds
Motivation
Social Labeling
• Hashtag Semantics
Social Tagging
• Tag Relatedness
• Tag Generality
• Tag Hierarchies
Social Navigation
• Navigational Knowledge
Engineering
g g
Markus Strohmaier 2011
17
18. Knowledge Management Institute
Social Navigation
Users search for and navigate
to certain sets of resources
Can we turn ordinary users into contributors for
ontology enrichment?
t l i h t?
Navigational Knowledge Engineering:
A light-weight methodology for low-cost
knowledge engineering by a massive user base.
Markus Strohmaier 2011
18
19. Knowledge Management Institute
Prototype: HANNE
HANNE: Holistic Application for Navigational
HANNE H li ti A li ti f N i ti l
Knowledge Engineering
http://aksw.org/Projects/NKE
http://aksw org/Projects/NKE
with Sebastian Hellmann et al., University of Leipzig
Markus Strohmaier 2011
19
20. Knowledge Management Institute
Navigational Knowledge Engineering
http://aksw.org/Projects/NKE
Example: Extending DBPedia with NKE
Markus Strohmaier 2011
S. Hellmann, J. Lehmann, C. Stadler, J. Unbehauen, M. Strohmaier, Navigational Knowledge Engineering, Submitted to WWW 2011. 20
21. Knowledge Management Institute
Navigational Knowledge Engineering
Choose initial positive and
negative examples from the
search result.
Here we are looking for
Football Clubs in Saxony, a
region in German
Germany.
Markus Strohmaier 2011
http://aksw.org/Projects/NKE
21
22. Knowledge Management Institute
Inductive Concept Learning
To test the coverage, the function
Returns the value true if e is covered by H, and false otherwise.
Markus Strohmaier 2011
Nada Lavrac and Saso Dzeroski, Inductive Logic Programming: Techniques and Applications, 1994 22
23. Knowledge Management Institute
HANNE &
The Problem of Inductive Concept Learning
given:
• Background knowledge (OWL/DL knowledge base)
• positive and negative examples of a concept
(instances)
(i t )
find:
fi d
• A hypothesis (expressed as OWL class descriptions)
that covers all positive and no negative examples
Markus Strohmaier 2011
23
24. Knowledge Management Institute
Based on the
extension, ICL
searches for
suitable
hypotheses.
Markus Strohmaier 2011
S. Hellmann, J. Lehmann, C. Stadler, J. Unbehauen, M. Strohmaier, Navigational Knowledge Engineering, Submitted to WWW 2011. 24
25. Knowledge Management Institute
Concepts Learned
• The Learned C
Concept is shown in Manchester O OWL SSyntax
• The user can retain the concept for later retrieval.
• Saved concepts are displayed as social navigation
suggestions. Can be used to enrich existing knowledge
base.
base
Markus Strohmaier 2011
S. Hellmann, J. Lehmann, C. Stadler, J. Unbehauen, M. Strohmaier, Navigational Knowledge Engineering, Submitted to WWW 2011. 25
26. Knowledge Management Institute
Result
Useful properties:
• Biased towards high recall
• Scales well: Number of training
examples is more important than the
size of the background knowledge
With only 2 positives and 4 negatives,
it is possible to find 13 more
instances, which are f tb ll clubs
i t hi h football l b
situated close to Saxony, Germany
Markus Strohmaier 2011
S. Hellmann, J. Lehmann, C. Stadler, J. Unbehauen, M. Strohmaier, Navigational Knowledge Engineering, Submitted to WWW 2011. 26
28. Knowledge Management Institute
Summary
We
W can observe that:
b th t
• semantic structures can be obtained as a byproduct
of online crowd behavior (t i categorizing, navigation)
(tagging, t i i i ti )
• these structures can approximate structures in
reference knowledge bases (DBPedia WordNet etc)
(DBPedia, WordNet,
but:
• different levels of scale mean different degrees of
formality and quality of semantic structures
• pragmatics influences resulting semantics
Markus Strohmaier 2011
28
29. Knowledge Management Institute
Outlook
Current and planned collaborations:
C t d l d ll b ti
(XEROX) PARC, USA and U. Würzburg, Germany:
• PoSTS: Interactions between pragmatics and semantics in social tagging systems
• DFG/FWF coop. project proposal 2011 2014 (~400.000 EUR, under review)
2011-2014 ( 400.000
• Visiting Scholar with (XEROX) PARC in 2010/2011
Media-X, Stanford U., USA:
• CALHWIN: Implementation of a social health information network for California
Semantic analysis of social media
• NSF project proposal 2011-2014 (under review)
U. Of Leipzig, Germany:
• Navigational Knowledge Engineering
Related events I am involved in:
• ACM SIGWEB Working Group on Social Media (Co-chair)
• ACM Hypertext 2011 track „Social Media“ (Co-chair)
• WWW‘2011 Workshop on Usage Analysis and the Web of Data (PC member)
W k h U A l i d th W b f D t b )
Markus Strohmaier 2011
29
30. Knowledge Management Institute
A N What‘s the fknowledge of SAS? h
New A s d for S
What
Agenda Semantic R
ti Research
7 January, 2011
Web Resources
Natural Language Constructs
Real-World Happenings
Utilizing online behavior of crowds for
30
the construction, maintenance and enrichment of
large-scale semantic structures
Markus Strohmaier 2011
http://www.flickr.com/photos/waldoj/722508166/
http://www.flickr.com/photos/matthewfield/2306001896/ 30
31. Knowledge Management Institute
Thank You.
Acknowledgements
collaborators and co-authors:
D. Helic, C. Körner, J. Pöschko, C. Wagner (Graz U. of Technology, Austria)
D. Benz, G. Stumme (U. of Kassel, Germany)
A. Hotho (U. of Würzburg, Germany)
S. Hellmann, J. Lehmann, C. Stadler, J. Unbehauen (U. of Leipzig, Germany)
Markus Strohmaier 2011
31