A talk given in 2000 at IBM when it identified Taalee (then merged with Voquette), the Semantic Web company I founded, as one of the five exciting start ups.
IST 561 Spring 2007--Session7, Sources of InformationD.A. Garofalo
Presentation provides a brief overview of Internet searching, Boolean operators, and internet resources of use to libraries in providing reference services.
Amit Sheth with TK Prasad, "Semantic Technologies for Big Science and Astrophysics", Invited Plenary Presentation, at Earthcube Solar-Terrestrial End-User Workshop, NJIT, Newark, NJ, August 13, 2014.
Like many other fields of Big Science, Astrophysics and Solar Physics deal with the challenges of Big Data, including Volume, Variety, Velocity, and Veracity. There is already significant work on handling volume related challenges, including the use of high performance computing. In this talk, we will mainly focus on other challenges from the perspective of collaborative sharing and reuse of broad variety of data created by multiple stakeholders, large and small, along with tools that offer semantic variants of search, browsing, integration and discovery capabilities. We will borrow examples of tools and capabilities from state of the art work in supporting physicists (including astrophysicists) [1], life sciences [2], material sciences [3], and describe the role of semantics and semantic technologies that make these capabilities possible or easier to realize. This applied and practice oriented talk will complement more vision oriented counterparts [4].
[1] Science Web-based Interactive Semantic Environment: http://sciencewise.info/
[2] NCBO Bioportal: http://bioportal.bioontology.org/ , Kno.e.sis’s work on Semantic Web for Healthcare and Life Sciences: http://knoesis.org/amit/hcls
[3] MaterialWays (a Materials Genome Initiative related project): http://wiki.knoesis.org/index.php/MaterialWays
[4] From Big Data to Smart Data: http://wiki.knoesis.org/index.php/Smart_Data
"Computing for Human Experience: Semantics empowered Cyber-Physical, Social and Ubiquitous Computing beyond the Web" Keynote at On the Move Federated Conferences, Crete, Greece, October 18, 2011.
http://www.onthemove-conferences.org/
Details: http://wiki.knoesis.org/index.php/Computi
Cory Henson and Amit Sheth, Active Perception Over Machine and Citizen Sensing, SemTech 2011, June 2011.
http://semtech2011.semanticweb.com/sessionPop.cfm?confid=62&proposalid=3825
http://semantic-sensor-web.com
The talk given by prof. Amit Sheth at the ICMSE-MGI Digital Data Workshop held at Kno.e.sis Center from November 13-14 2013. The talk showcased demos of successful applications that use semantic web technologies in several research problems.
workshop page: http://wiki.knoesis.org/index.php/ICMSE-MGI_Digital_Data_Workshop
Tutorial presented at 2012 ACM SIGHIT International Health Informatics Symposium (IHI 2012), January 28-30, 2012. http://sites.google.com/site/web2011ihi/participants/tutorials
This tutorial weaves together three themes and the associated topics:
[1] The role of biomedical ontologies
[2] Key Semantic Web technologies with focus on Semantic provenance and integration
[3] In-practice tools and real world use cases built to serve the needs of sleep medicine researchers, cardiologists involved in clinical practice, and work on vaccine development for human pathogens.
IST 561 Spring 2007--Session7, Sources of InformationD.A. Garofalo
Presentation provides a brief overview of Internet searching, Boolean operators, and internet resources of use to libraries in providing reference services.
Amit Sheth with TK Prasad, "Semantic Technologies for Big Science and Astrophysics", Invited Plenary Presentation, at Earthcube Solar-Terrestrial End-User Workshop, NJIT, Newark, NJ, August 13, 2014.
Like many other fields of Big Science, Astrophysics and Solar Physics deal with the challenges of Big Data, including Volume, Variety, Velocity, and Veracity. There is already significant work on handling volume related challenges, including the use of high performance computing. In this talk, we will mainly focus on other challenges from the perspective of collaborative sharing and reuse of broad variety of data created by multiple stakeholders, large and small, along with tools that offer semantic variants of search, browsing, integration and discovery capabilities. We will borrow examples of tools and capabilities from state of the art work in supporting physicists (including astrophysicists) [1], life sciences [2], material sciences [3], and describe the role of semantics and semantic technologies that make these capabilities possible or easier to realize. This applied and practice oriented talk will complement more vision oriented counterparts [4].
[1] Science Web-based Interactive Semantic Environment: http://sciencewise.info/
[2] NCBO Bioportal: http://bioportal.bioontology.org/ , Kno.e.sis’s work on Semantic Web for Healthcare and Life Sciences: http://knoesis.org/amit/hcls
[3] MaterialWays (a Materials Genome Initiative related project): http://wiki.knoesis.org/index.php/MaterialWays
[4] From Big Data to Smart Data: http://wiki.knoesis.org/index.php/Smart_Data
"Computing for Human Experience: Semantics empowered Cyber-Physical, Social and Ubiquitous Computing beyond the Web" Keynote at On the Move Federated Conferences, Crete, Greece, October 18, 2011.
http://www.onthemove-conferences.org/
Details: http://wiki.knoesis.org/index.php/Computi
Cory Henson and Amit Sheth, Active Perception Over Machine and Citizen Sensing, SemTech 2011, June 2011.
http://semtech2011.semanticweb.com/sessionPop.cfm?confid=62&proposalid=3825
http://semantic-sensor-web.com
The talk given by prof. Amit Sheth at the ICMSE-MGI Digital Data Workshop held at Kno.e.sis Center from November 13-14 2013. The talk showcased demos of successful applications that use semantic web technologies in several research problems.
workshop page: http://wiki.knoesis.org/index.php/ICMSE-MGI_Digital_Data_Workshop
Tutorial presented at 2012 ACM SIGHIT International Health Informatics Symposium (IHI 2012), January 28-30, 2012. http://sites.google.com/site/web2011ihi/participants/tutorials
This tutorial weaves together three themes and the associated topics:
[1] The role of biomedical ontologies
[2] Key Semantic Web technologies with focus on Semantic provenance and integration
[3] In-practice tools and real world use cases built to serve the needs of sleep medicine researchers, cardiologists involved in clinical practice, and work on vaccine development for human pathogens.
The talk titled "Federated Architecture with Provenance and Access Control to realize Open Digital Data for MGI" given by prof. Amit Sheth at the ICMSE-MGI Digital Data Workshop held at Kno.e.sis Center from November 13-14 2013. The talk emphasized important issues that material scientists encounter in publishing data - Provenance and Access Control.
workshop page: http://wiki.knoesis.org/index.php/ICMSE-MGI_Digital_Data_Workshop
The talk titled "Realizing Semantic Web - Light Weight semantics and beyond" given by prof. T.K. Prasad at the ICMSE-MGI Digital Data Workshop held at Kno.e.sis Center from November 13-14 2013. The talk emphasized on annotation and search framework.
workshop page: http://wiki.knoesis.org/index.php/ICMSE-MGI_Digital_Data_Workshop
This is a version of series of talks given at NCSA-UIUC's director seminar, IBM Almaden, HP Labs, DERI-Galway, City Univ of Dublin, and KMI-Open University during Aug-Oct 2010 (replaces earlier keynote version). It deals with couple of items of the vision outlined at http://bit.ly/4ynB7A
A video of this presentation: http://www.ncsa.illinois.edu/News/Video/2010/sheth.html
Link to this talk as http://bit.ly/CHE-talk
Meenakshi Nagarajan,Amit Sheth,Selvam Velmurugan, "Citizen Sensor Data Mining, Social Media Analytics and Development Centric Web Applications," Tutorial at WWW2011, Hyderabad, India, March 28, 2011.
More info at:
http://knoesis.org/library/resource.php?id=1030
http://www2011india.com/tutorialstr27.html
Ajith Ranabahu, Priti Parikh, Maryam Panahiazar, Amit Sheth and Flora Logan-Klumpler: Kino : Making Semantic Annotations Easier, Presented at 5th Intl Conf on Semantic Computing (ICSC2011), Palo Alto, CA, September 2011.
Ignite talk at ICCM-2013 at United Nations (UN) Nairobi by NSF SoCS project researcher, Hemant Purohit - 'How to Leverage Social Media Communities for Crisis Response Coordination' using Human+Machine computing
Key-message: We need to extract smart actionable data out of big crisis data to assist response coordination, by focusing on demand-supply centric technology.
More at Kno.e.sis' SOCS project page: http://knoesis.org/research/semsoc/projects/socs
Also, Crisis Informatics at Kno.e.sis: http://j.mp/CrisisRes
Description - Ajith defended his thesis on application and data portability in cloud
computing. More details on Ajith's research and publications can be
found at http://knoesis.wright.edu/researchers/ajith/
Video can be found at : http://www.youtube.com/watch?v=oDBeBIIFmHc&list=UUORqXk1ZV44MOwpCorAROyQ&index=1&feature=plpp_video
This tutorial presents tools and techniques for effectively utilizing the Internet of Things (IoT) for building advanced applications, including the Physical-Cyber-Social (PCS) systems. The issues and challenges related to IoT, semantic data modelling, annotation, knowledge representation (e.g. modelling for constrained environments, complexity issues and time/location dependency of data), integration, analy- sis, and reasoning will be discussed. The tutorial will de- scribe recent developments on creating annotation models and semantic description frameworks for IoT data (e.g. such as W3C Semantic Sensor Network ontology). A review of enabling technologies and common scenarios for IoT applications from the data and knowledge engineering point of view will be discussed. Information processing, reasoning, and knowledge extraction, along with existing solutions re- lated to these topics will be presented. The tutorial summarizes state-of-the-art research and developments on PCS systems, IoT related ontology development, linked data, do- main knowledge integration and management, querying large- scale IoT data, and AI applications for automated knowledge extraction from real world data.
Related: Semantic Sensor Web: http://knoesis.org/projects/ssw
Physical-Cyber-Social Computing: http://wiki.knoesis.org/index.php/PCS
SEMANTIC CONTENT MANAGEMENT FOR ENTERPRISES AND NATIONAL SECURITYAmit Sheth
Amit Sheth, SEMANTIC CONTENT MANAGEMENT FOR ENTERPRISES AND NATIONAL SECURITY, Keynote at:
CONTENT- AND SEMANTIC-BASED INFORMATION RETRIEVAL @ SCI 2002.
Amit P. Sheth, “Relationships at the Heart of Semantic Web: Modeling, Discovering, Validating and Exploiting Complex Semantic Relationships,” Keynote at the 29th Conference on Current Trends in Theory and Practice of Informatics (SOFSEM 2002), Milovy, Czech Republic, November 22–29, 2002.
Keynote: http://www.sofsem.cz/sofsem02/keynote.html
Related paper: http://knoesis.wright.edu/?q=node/2063
Semantic Web & Information Brokering: Opportunities, Commercialization and Ch...Amit Sheth
Amit Sheth, "Semantic Web & Info. Brokering Opportunities, Commercialization and Challenges," Keynote talk at the workshop on Semantic Web: Models, Architecture and Management, September 21, 2000, Lisbon, Portugal.
This was the keynote given at probably the first international event with "Semantic Web" in title (and before the well known SciAm article). As in TBL's use of Semantic Web in his 1999 book, (semantic) metadata plays central role. The use of Worldmodel/Ontology is consistent with our use of ontology for (Web) information integration in 1994 CIKM paper. Summary of the talk by event organizers and other details are at: http://knoesis.org/library/resource.php?id=735
Prof. Sheth started a Semantic Web company Taalee, Inc. in 1999 (product was called MediaAnywhere A/V search engine- discussed in this paper in the context of one of its use by a customer Redband Broadcasting). The product included Semantic Web/populated Ontology based semantic (faceted) search, semantic browsing, semantic personalization, semantic targeting (advertisement), etc as is described in U.S. Patent #6311194, 30 Oct. 2001 (filed 2000). MediaAnywhere has about 25 ontologies in News/Business, Sports, Entertainment, etc.
Taalee merged to become Voquette in 2001 (product was called SCORE), Semagix in 2004 (product was called Semagix Freedom), and then Fortent in 2006 (products included Know Your Customers).
An introduction to active|watch where insight comes as standard. Exploit social media, blogs, forums and websites. Rapidly create competitive intelligence and steal a winning advantage. safeguard your reputation and valuable assets. look ahead and get out in from of the competition.
How is organized data used by some web players having not the best intentions? How can tools that try to help individual authors be subverted by spammers? Also, how does Zemanta work and why are we interested in this topic.
How is organized data used by some web players having not the best intentions?
How can tools that try to help individual authors be subverted by spammers?
Also, how does Zemanta work and why are we interested in this topic.
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Progress OpenEdge database administration guide and referenceVinh Nguyen
Progress OpenEdge database administration guide and reference
Contact us anytime: Think Next - QAD Partner in Vietnam
- Website: http://www.thinknext.vn
- Email: contact [at] thinknext.vn
Copy of the slides from the Advanced Web Development Workshop presented by Ed Bachta, Charlie Moad and Robert Stein of the Indianapolis Museum of Art during the Museums and the Web 2008 conference in Montreal
The talk titled "Federated Architecture with Provenance and Access Control to realize Open Digital Data for MGI" given by prof. Amit Sheth at the ICMSE-MGI Digital Data Workshop held at Kno.e.sis Center from November 13-14 2013. The talk emphasized important issues that material scientists encounter in publishing data - Provenance and Access Control.
workshop page: http://wiki.knoesis.org/index.php/ICMSE-MGI_Digital_Data_Workshop
The talk titled "Realizing Semantic Web - Light Weight semantics and beyond" given by prof. T.K. Prasad at the ICMSE-MGI Digital Data Workshop held at Kno.e.sis Center from November 13-14 2013. The talk emphasized on annotation and search framework.
workshop page: http://wiki.knoesis.org/index.php/ICMSE-MGI_Digital_Data_Workshop
This is a version of series of talks given at NCSA-UIUC's director seminar, IBM Almaden, HP Labs, DERI-Galway, City Univ of Dublin, and KMI-Open University during Aug-Oct 2010 (replaces earlier keynote version). It deals with couple of items of the vision outlined at http://bit.ly/4ynB7A
A video of this presentation: http://www.ncsa.illinois.edu/News/Video/2010/sheth.html
Link to this talk as http://bit.ly/CHE-talk
Meenakshi Nagarajan,Amit Sheth,Selvam Velmurugan, "Citizen Sensor Data Mining, Social Media Analytics and Development Centric Web Applications," Tutorial at WWW2011, Hyderabad, India, March 28, 2011.
More info at:
http://knoesis.org/library/resource.php?id=1030
http://www2011india.com/tutorialstr27.html
Ajith Ranabahu, Priti Parikh, Maryam Panahiazar, Amit Sheth and Flora Logan-Klumpler: Kino : Making Semantic Annotations Easier, Presented at 5th Intl Conf on Semantic Computing (ICSC2011), Palo Alto, CA, September 2011.
Ignite talk at ICCM-2013 at United Nations (UN) Nairobi by NSF SoCS project researcher, Hemant Purohit - 'How to Leverage Social Media Communities for Crisis Response Coordination' using Human+Machine computing
Key-message: We need to extract smart actionable data out of big crisis data to assist response coordination, by focusing on demand-supply centric technology.
More at Kno.e.sis' SOCS project page: http://knoesis.org/research/semsoc/projects/socs
Also, Crisis Informatics at Kno.e.sis: http://j.mp/CrisisRes
Description - Ajith defended his thesis on application and data portability in cloud
computing. More details on Ajith's research and publications can be
found at http://knoesis.wright.edu/researchers/ajith/
Video can be found at : http://www.youtube.com/watch?v=oDBeBIIFmHc&list=UUORqXk1ZV44MOwpCorAROyQ&index=1&feature=plpp_video
This tutorial presents tools and techniques for effectively utilizing the Internet of Things (IoT) for building advanced applications, including the Physical-Cyber-Social (PCS) systems. The issues and challenges related to IoT, semantic data modelling, annotation, knowledge representation (e.g. modelling for constrained environments, complexity issues and time/location dependency of data), integration, analy- sis, and reasoning will be discussed. The tutorial will de- scribe recent developments on creating annotation models and semantic description frameworks for IoT data (e.g. such as W3C Semantic Sensor Network ontology). A review of enabling technologies and common scenarios for IoT applications from the data and knowledge engineering point of view will be discussed. Information processing, reasoning, and knowledge extraction, along with existing solutions re- lated to these topics will be presented. The tutorial summarizes state-of-the-art research and developments on PCS systems, IoT related ontology development, linked data, do- main knowledge integration and management, querying large- scale IoT data, and AI applications for automated knowledge extraction from real world data.
Related: Semantic Sensor Web: http://knoesis.org/projects/ssw
Physical-Cyber-Social Computing: http://wiki.knoesis.org/index.php/PCS
SEMANTIC CONTENT MANAGEMENT FOR ENTERPRISES AND NATIONAL SECURITYAmit Sheth
Amit Sheth, SEMANTIC CONTENT MANAGEMENT FOR ENTERPRISES AND NATIONAL SECURITY, Keynote at:
CONTENT- AND SEMANTIC-BASED INFORMATION RETRIEVAL @ SCI 2002.
Amit P. Sheth, “Relationships at the Heart of Semantic Web: Modeling, Discovering, Validating and Exploiting Complex Semantic Relationships,” Keynote at the 29th Conference on Current Trends in Theory and Practice of Informatics (SOFSEM 2002), Milovy, Czech Republic, November 22–29, 2002.
Keynote: http://www.sofsem.cz/sofsem02/keynote.html
Related paper: http://knoesis.wright.edu/?q=node/2063
Semantic Web & Information Brokering: Opportunities, Commercialization and Ch...Amit Sheth
Amit Sheth, "Semantic Web & Info. Brokering Opportunities, Commercialization and Challenges," Keynote talk at the workshop on Semantic Web: Models, Architecture and Management, September 21, 2000, Lisbon, Portugal.
This was the keynote given at probably the first international event with "Semantic Web" in title (and before the well known SciAm article). As in TBL's use of Semantic Web in his 1999 book, (semantic) metadata plays central role. The use of Worldmodel/Ontology is consistent with our use of ontology for (Web) information integration in 1994 CIKM paper. Summary of the talk by event organizers and other details are at: http://knoesis.org/library/resource.php?id=735
Prof. Sheth started a Semantic Web company Taalee, Inc. in 1999 (product was called MediaAnywhere A/V search engine- discussed in this paper in the context of one of its use by a customer Redband Broadcasting). The product included Semantic Web/populated Ontology based semantic (faceted) search, semantic browsing, semantic personalization, semantic targeting (advertisement), etc as is described in U.S. Patent #6311194, 30 Oct. 2001 (filed 2000). MediaAnywhere has about 25 ontologies in News/Business, Sports, Entertainment, etc.
Taalee merged to become Voquette in 2001 (product was called SCORE), Semagix in 2004 (product was called Semagix Freedom), and then Fortent in 2006 (products included Know Your Customers).
An introduction to active|watch where insight comes as standard. Exploit social media, blogs, forums and websites. Rapidly create competitive intelligence and steal a winning advantage. safeguard your reputation and valuable assets. look ahead and get out in from of the competition.
How is organized data used by some web players having not the best intentions? How can tools that try to help individual authors be subverted by spammers? Also, how does Zemanta work and why are we interested in this topic.
How is organized data used by some web players having not the best intentions?
How can tools that try to help individual authors be subverted by spammers?
Also, how does Zemanta work and why are we interested in this topic.
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Progress OpenEdge database administration guide and referenceVinh Nguyen
Progress OpenEdge database administration guide and reference
Contact us anytime: Think Next - QAD Partner in Vietnam
- Website: http://www.thinknext.vn
- Email: contact [at] thinknext.vn
Copy of the slides from the Advanced Web Development Workshop presented by Ed Bachta, Charlie Moad and Robert Stein of the Indianapolis Museum of Art during the Museums and the Web 2008 conference in Montreal
Semantic Web in Action: Ontology-driven information search, integration and a...Amit Sheth
Amit Sheth's Keynote talk given at: “Semantic Web in Action: Ontology-driven information search, integration and analysis,” Net Object Days 2003 and MATES03, Erfurt, Germany, September 23, 2003. http://knoesis.org
Note: slides 51-55 have audio.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
How world-class product teams are winning in the AI era by CEO and Founder, P...
User Experiences of Enterprise Semantic Content Management
1. User Experiences of Enterprise Semantic Content Management Amit Sheth Panel at Symposium on the User Experience of Business Intelligence & Knowledge Management, IBM Almaden Research Center, San Jose, March 18, 2000. University of Georgia
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4. Visionics AcSys Security Portal Check-in Interrogation Boarding Gate Airport Airspace Voquette Knowledgebase Metabase Threat Scoring Gov’t Watchlists News Media Web Info LexisNexis RiskWise Passenger Records Reservation Data Airline Data Airport Data Airline and Airport Data Future and Current Risks Airport LEO ARC AvSec Manager Data Management Data Mining IPG User Class 1: End Users Different types of users have different information needs
5. Voquette’s Semantic Technology enables flight authorities to : - take a quick look at the passenger’s history - check quickly if the passenger is on any official watchlist - interpret and understand passenger’s links to other organizations (possibly terrorist) - verify if the passenger has boarded the flight from a “high risk” region - verify if the passenger originally belongs to a “high risk” region - check if the passenger’s name has been mentioned in any news article along with the name of a known bad guy Voquette’s Solution for NASA Smith John
6. Threat Score Components of APITAS (APITAS=Airline Passenger Identification and Threat Assessment System) Smith John WATCHLIST ANALYSIS Action : Voquette’s rich knowledgebase is automatically searched for the possible appearance of this name on any of the watchlists Ability Proven : Ability to automatically aggregate relevant rich domain knowledge and automatically co-relate it and rank the threat factors to indicate threat level of the passenger on the watchlist front METABASE SEARCH Action : Voquette’s rich metabase is searched for this name and associated content stories mentioning the passenger’s name are retrieved Ability Proven : Ability to automatically aggregate and retrieve relevant content stories, field reports, etc. about the passenger that can be used by flight officials to determine if the passenger has any connections with known bad people or organizations appearsOn watchList : FBI KNOWLEDGEBASE SEARCH Action : Voquette’s rich knowledgebase is searched for this name and associated information like position, aliases, relationships (past or present) of this name to other organizations, watchlists, country, etc. are retrieved Ability Proven : Ability to automatically aggregate relevant rich domain knowledge about a passenger and automatically co-relate it with other data in the knowledgebase to present a visual association picture to the flight official LEXIS NEXIS ANNOTATION Action : Information about or related to the passenger returned by Lexis Nexis is enhanced by linking important entities to Voquette’s rich knowledgebase Ability Proven : Ability to automatically aggregate relevant rich domain knowledge, recognize entities in a piece of text and further automatically co-relate it with other data in the knowledgebase to present a clear picture about the passenger to the flight official Flight Country Check 45 0.15 Person Country Check 25 0.15 Nested Organizations Check 75 0.8 Aggregate Link Analysis Score: 17.7 LINK ANALYSIS Action : Semantic analysis of the various components (watchlist, Lexis Nexis, knowledgebase search, metabase search, etc.) to come up with an aggregate threat score for the passenger Ability Proven : Ability to automatically aggregate relevant rich domain knowledge, recognize entities in a piece of text, automatically co-relate it with other data in the knowledgebase, search for relevant content to present an overall idea of the threat level fo the passenger, allowing him to take quick action
8. Semantic Application Example – Financial Research Dashboard Voquette Research Dashboard: http://www.voquette.com/demo Focused relevant content organized by topic ( semantic categorization ) Automatic Content Aggregation from multiple content providers and feeds Related relevant content not explicitly asked for (semantic associations) Competitive research inferred automatically Automatic 3 rd party content integration
11. Related Stock News Semantic Web – Intelligent Content Industry News Technology Products COMPANY EPA Regulations Competition COMPANIES in Same or Related INDUSTRY COMPANIES in INDUSTRY with Competing PRODUCTS Impacting INDUSTRY or Filed By COMPANY Important to INDUSTRY or COMPANY Intelligent Content = What You Asked for + What you need to know! SEC
14. Voquette SCORE Technology Architecture Distributed agents that automatically extract relevant semantic metadata from structured and unstructured content Fast main-memory based query engine with APIs and XML output CACS provides automatic classification (w.r.t. WorldModel) from unstructured text and extracts contextually relevant metadata Distributed agents that automatically extract/mine knowledge from trusted sources Toolkit to design and maintain the Knowledgebase Knowledgebase represents the real-world instantiation (entities and relationships) of the WorldModel WorldModel specifies enterprise’s normalized view of information (ontology)
16. Content Asset Index Evolution Extractor Agent for Bloomberg Scans text for analysis Metadata extracted automatically Asset Syntax Metadata Producer: BusinessWire Source: Bloomberg Date: Sept. 10 2001 Location: San Jose, CA URL: http://bloomberg.com/1.htm Media: Text Semantic Metadata Company: Cisco Systems, Inc. Creates asset (index) out of extracted metadata Asset Syntax Metadata Producer: BusinessWire Source: Bloomberg Date: Sept. 10 2001 Location: San Jose, CA URL: http://bloomberg.com/1.htm Media: Text Semantic Metadata Company: Cisco Systems, Inc. Topic: Company News Categorization & Auto-Cataloging System (CACS) Scans text for analysis Classifies document into pre-defined category/topic Appends topic metadata to asset Cisco Systems CSCO NASDAQ Company Ticker Exchange Industry Sector Executives John Chambers Telecomm. Computer Hardware Competition Nortel Networks Knowledge Base CEO of Competes with Syntax Metadata Asset Producer: BusinessWire Source: Bloomberg Date: Sept. 10 2001 Location: San Jose, CA URL: http://bloomberg.com/1.htm Media: Text Semantic Metadata Company: Cisco Systems, Inc. Topic: Company News Ticker: CSCO Exchange: NASDAQ Industry: Telecomm. Sector: Computer Hardware Executive: John Chambers Competition: Nortel Networks Headquarters: San Jose, CA Leverages knowledge to enhance metatagging Enhanced Content Asset Indexed Headquarters San Jose XML Feed Semantic Engine
17. Content which does contain the words the user asked for Extractor Agents Content which does not contain the words the user asked for, but is about what he asked for. Value-added Metadata Content the user did not think to ask for , but which he needs to know . Semantic Associations + + Intelligent Content End-User Intelligent Content Empowers the User