This document discusses the semantic gap problem in multimedia data analysis. It notes that current popular research approaches, such as oversimplifying problems and selecting favorable datasets, have failed to make meaningful progress on the semantic gap over the last two decades. The document argues that capturing context from various sources, such as device metadata, location, and event knowledge, is crucial to bridging the semantic gap. It presents a new problem statement that incorporates modeling events and entities in multimedia using both content and contextual information.
In computer vision, context has been mostly ignored in the last two decades. We show that in understanding images, context plays more significant role that content.
Keynote talk given at Digital Health conference in Montreal.
How to use data from all sources to prepare a model of a person for analysis and prediction in context of health.
In computer vision, context has been mostly ignored in the last two decades. We show that in understanding images, context plays more significant role that content.
Keynote talk given at Digital Health conference in Montreal.
How to use data from all sources to prepare a model of a person for analysis and prediction in context of health.
Micro reports and Situation Recognition at social machines workshopRamesh Jain
Micro-reports are the next generation after micro-blogs, such as Twitter. Micro-reports enable more efficient citizen reporting and help in situation recognition.
EventWeb towards Experiential Computing 100927Ramesh Jain
The next major change in computing is that it is becoming more experience oriented than information oriented. This talk shows how this is evolving and is natural next major revolution in computing and communication.
ICSC2015 KeyNote: Semantic links in visual webRamesh Jain
Photos and videos are new documents. They are independent of language and literacy. By linking photos with other photos as well as other sources of information, we can create a Web that will be a visual Web. This web may be accessible to people in every part of the world.
From Linked Data to Semantic ApplicationsAndre Freitas
In this talk we will discuss how to build (today) semantically intelligent systems, i.e. systems with the ability to process and interpret information by its meaning. We will take a multidisciplinary perspective showing how recent advances in other computer science areas such as Information Retrieval and Natural Language Processing can enable, together with Linked Data and Semantic Web resources, the construction of the next generation of information systems. A summary of the core principles and available
resources from these areas will give a concrete understanding on how to jump-start your own semantic system.
SmartData Slides: Machine Learning - From Discovery to UnderstandingDATAVERSITY
Science and engineering are complementary disciplines, and in their distinctions, we see promise for an expanded role for machine learning (ML). The goal of science is discovery - identifying patterns of evidence that point to fundamental truths. Engineering uses this knowledge to build systems and solutions to problems. Science discovers the truth, engineering uses the understanding of truth to create. Within the #ModernAI landscape, machine learning has become the gold-standard for pattern discovery. Applications ranging from the identification of cat images on YouTube to autonomous vehicle control have captured the imagination. Less heralded are opportunities to apply ML to systems that understand what they have discovered. That’s the next frontier.
This webinar will present an overview of ML fundamentals and then show examples and a framework to identify opportunities for ML-enabled understanding.
Bridging the Semantic Gap in Multimedia Information Retrieval: Top-down and B...Jonathon Hare
Mastering the Gap: From Information Extraction to Semantic Representation / 3rd European Semantic Web Conference, Budva, Montenegro. May 2006.
http://eprints.soton.ac.uk/262737/
Semantic representation of multimedia information is vital for enabling the kind of multimedia search capabilities that professional searchers require. Manual annotation is often not possible because of the shear scale of the multimedia information that needs indexing. This paper explores the ways in which we are using both top-down, ontologically driven approaches and bottom-up, automatic-annotation approaches to provide retrieval facilities to users. We also discuss many of the current techniques that we are investigating to combine these top-down and bottom-up approaches.
How game design and data visualization can help in systems design: understanding and making changes in complex systems. Examples look at food access / deserts, podcasts, COVID, the US labor system, and the tech industry. Adapted from a talk for a systems design course.
Views my own and not of employer or other organization.
Creative commons image credits:
- Cook-Anderson, Gretchen. “Snapshots from Space Cultivate Fans among Midwest Farmers.” NASA, NASA, 16 Sept. 2009, https://www.nasa.gov/topics/earth/features/farmer_imagery.html.
- "Cooking" by omefrans is licensed under CC BY-NC 2.0: https://wordpress.org/openverse/image/e32f7eed-66a4-4b06-82c3-2c313f28fd9f
- "Construction worker for the Panama Canal expansion project" by World Bank Photo Collection is licensed under CC BY-NC-ND 2.0: https://wordpress.org/openverse/image/0cdd65a3-500c-4fae-9a69-242ea29b261c/
- “Screenshots.” OpenTTD, OpenTTD, https://www.openttd.org/screenshots.
Self Health 231006 presented at HKPoly.pptxRamesh Jain
As technology stands poised to transform our lives, Self Health emerges as a vital innovation for the future, especially in key areas like chronic diseases, mental, and geriatric health care. Utilizing natural language processing and empathy, it provides trusted, perpetual health information and guidance tailored to each individual. Amidst a backdrop of modern disinformation, this conversational approach becomes a reliable source, considering genetic, lifestyle, and psychological factors. It revolutionizes chronic and geriatric disease management while enhancing mental well-being. By empowering individuals to take proactive health measures, Self Health not only elevates personal lives but also contributes to global health improvements. It signifies a future where healthcare is personalized, trusted, empathetic, and universally impactful.
Homeostasis is nature’s engineering behind the most complex autonomic system that exists: the human body. Homeostasis is a self-regulating process by which biological systems tend to maintain stability while adjusting to conditions that are optimal for survival. Disruption in homeostasis results in malfunctioning of natural autonomic system causing chronic diseases. Chronic diseases have been the leading cause of death and human suffering in the last 50 years. They also have resulted in highest financial burden for individuals and countries. This can be corrected using external augmentation of the homeostasis loop. Recent progress in artificial pancreas for Type 1 Diabetes is a compelling example for such augmentation. In this presentation we discuss emerging multimodal approaches for such augmentation in the context of chronic diseases. We show that multimodal sensing and fundamental technology developed for multimedia computing may offer powerful augmentation of natural homeostasis to assist in management of chronic diseases.
Food is the most important component of the planet, human society, and every individual. However, our current thinking about food is filled with disinformation and siloed thinking. Can we use technology to unify the silos and counter disinformation?
Homeostasis is nature’s engineering behind the most complex autonomic system that exists: the human body. Homeostasis is a self-regulating process by which biological systems tend to maintain stability while adjusting to conditions that are optimal for survival. Disruption in homeostasis results in malfunctioning of natural autonomic system causing chronic diseases. Chronic diseases have been the leading cause of death and human suffering in the last 50 years. They also have resulted in highest financial burden for individuals and countries. This can be corrected using external augmentation of the homeostasis loop. Recent progress in artificial pancreas for Type 1 Diabetes is a compelling example for such augmentation. In this paper we discuss emerging multimodal approaches for such augmentation in the context of chronical diseases. We show that multimodal sensing and fundamental technology developed by multimedia computing community may offer powerful augmentation of natural homeostasis to assist in management of chronic diseases.
Food is the most important element in determining quality of life. It is a source of enjoyment. It is also source of energy and nourishment to keep your body healthy. Bit, there is a serious tension: What I like to eat is not necessarily what my body wants me to eat. To enjoy food one must know individual tastes and effects of food on individual body. One should also know attributes of food related to taste and nutrition. In this talk this issue is addresses and an approach to recommend enjoyable healthy food is proposed.
What if an app could guide you to better health, similar to how GPS navigation directs you to your desired destination? What if the app could use real-time information to redirect you around a disease, just as you’re rerouted to avoid traffic? What if the app could provide step-by-step directions to get you to your optimal health state, whether you’re a professional athlete or retired school teacher? We discuss how this navigational approach to healthcare could become a reality by combining emerging technology with well-established cybernetic principles.
Rj imminent transformations in health shanghai 170510Ramesh Jain
Fundamental nature of health is changing. Current healthcare is legacy of caring infectious diseases, while chronic diseases are now the most prevalent in most societies. Health should be considered as a metanexus of genetics, lifestyle, environment, socio-economic situation and medical knowledge
Disasters Happen. We need to manage them to minimize the loss to life and property. Disaster management has been received much attention, but has not been touched much by the latest technology. This paper presents an approach to manage disasters using latest and popular technology. We are interested in building a community of researchers who are interested in developing such tools.
Talk at Wearable 2016 Symposium in Lausanne.
This presentation talks about use of wearables and other sensors for quantifying lifestyle and relating it to build model of personal health.
Qualitative Causality discovers potential causal relationships among the underlying phenomena for understanding, prevention, and planning using qualitative human understandable events rather than quantitative variables.
Micro reports and Situation Recognition at social machines workshopRamesh Jain
Micro-reports are the next generation after micro-blogs, such as Twitter. Micro-reports enable more efficient citizen reporting and help in situation recognition.
EventWeb towards Experiential Computing 100927Ramesh Jain
The next major change in computing is that it is becoming more experience oriented than information oriented. This talk shows how this is evolving and is natural next major revolution in computing and communication.
ICSC2015 KeyNote: Semantic links in visual webRamesh Jain
Photos and videos are new documents. They are independent of language and literacy. By linking photos with other photos as well as other sources of information, we can create a Web that will be a visual Web. This web may be accessible to people in every part of the world.
From Linked Data to Semantic ApplicationsAndre Freitas
In this talk we will discuss how to build (today) semantically intelligent systems, i.e. systems with the ability to process and interpret information by its meaning. We will take a multidisciplinary perspective showing how recent advances in other computer science areas such as Information Retrieval and Natural Language Processing can enable, together with Linked Data and Semantic Web resources, the construction of the next generation of information systems. A summary of the core principles and available
resources from these areas will give a concrete understanding on how to jump-start your own semantic system.
SmartData Slides: Machine Learning - From Discovery to UnderstandingDATAVERSITY
Science and engineering are complementary disciplines, and in their distinctions, we see promise for an expanded role for machine learning (ML). The goal of science is discovery - identifying patterns of evidence that point to fundamental truths. Engineering uses this knowledge to build systems and solutions to problems. Science discovers the truth, engineering uses the understanding of truth to create. Within the #ModernAI landscape, machine learning has become the gold-standard for pattern discovery. Applications ranging from the identification of cat images on YouTube to autonomous vehicle control have captured the imagination. Less heralded are opportunities to apply ML to systems that understand what they have discovered. That’s the next frontier.
This webinar will present an overview of ML fundamentals and then show examples and a framework to identify opportunities for ML-enabled understanding.
Bridging the Semantic Gap in Multimedia Information Retrieval: Top-down and B...Jonathon Hare
Mastering the Gap: From Information Extraction to Semantic Representation / 3rd European Semantic Web Conference, Budva, Montenegro. May 2006.
http://eprints.soton.ac.uk/262737/
Semantic representation of multimedia information is vital for enabling the kind of multimedia search capabilities that professional searchers require. Manual annotation is often not possible because of the shear scale of the multimedia information that needs indexing. This paper explores the ways in which we are using both top-down, ontologically driven approaches and bottom-up, automatic-annotation approaches to provide retrieval facilities to users. We also discuss many of the current techniques that we are investigating to combine these top-down and bottom-up approaches.
How game design and data visualization can help in systems design: understanding and making changes in complex systems. Examples look at food access / deserts, podcasts, COVID, the US labor system, and the tech industry. Adapted from a talk for a systems design course.
Views my own and not of employer or other organization.
Creative commons image credits:
- Cook-Anderson, Gretchen. “Snapshots from Space Cultivate Fans among Midwest Farmers.” NASA, NASA, 16 Sept. 2009, https://www.nasa.gov/topics/earth/features/farmer_imagery.html.
- "Cooking" by omefrans is licensed under CC BY-NC 2.0: https://wordpress.org/openverse/image/e32f7eed-66a4-4b06-82c3-2c313f28fd9f
- "Construction worker for the Panama Canal expansion project" by World Bank Photo Collection is licensed under CC BY-NC-ND 2.0: https://wordpress.org/openverse/image/0cdd65a3-500c-4fae-9a69-242ea29b261c/
- “Screenshots.” OpenTTD, OpenTTD, https://www.openttd.org/screenshots.
Similar to Content without context is meaningless (10)
Self Health 231006 presented at HKPoly.pptxRamesh Jain
As technology stands poised to transform our lives, Self Health emerges as a vital innovation for the future, especially in key areas like chronic diseases, mental, and geriatric health care. Utilizing natural language processing and empathy, it provides trusted, perpetual health information and guidance tailored to each individual. Amidst a backdrop of modern disinformation, this conversational approach becomes a reliable source, considering genetic, lifestyle, and psychological factors. It revolutionizes chronic and geriatric disease management while enhancing mental well-being. By empowering individuals to take proactive health measures, Self Health not only elevates personal lives but also contributes to global health improvements. It signifies a future where healthcare is personalized, trusted, empathetic, and universally impactful.
Homeostasis is nature’s engineering behind the most complex autonomic system that exists: the human body. Homeostasis is a self-regulating process by which biological systems tend to maintain stability while adjusting to conditions that are optimal for survival. Disruption in homeostasis results in malfunctioning of natural autonomic system causing chronic diseases. Chronic diseases have been the leading cause of death and human suffering in the last 50 years. They also have resulted in highest financial burden for individuals and countries. This can be corrected using external augmentation of the homeostasis loop. Recent progress in artificial pancreas for Type 1 Diabetes is a compelling example for such augmentation. In this presentation we discuss emerging multimodal approaches for such augmentation in the context of chronic diseases. We show that multimodal sensing and fundamental technology developed for multimedia computing may offer powerful augmentation of natural homeostasis to assist in management of chronic diseases.
Food is the most important component of the planet, human society, and every individual. However, our current thinking about food is filled with disinformation and siloed thinking. Can we use technology to unify the silos and counter disinformation?
Homeostasis is nature’s engineering behind the most complex autonomic system that exists: the human body. Homeostasis is a self-regulating process by which biological systems tend to maintain stability while adjusting to conditions that are optimal for survival. Disruption in homeostasis results in malfunctioning of natural autonomic system causing chronic diseases. Chronic diseases have been the leading cause of death and human suffering in the last 50 years. They also have resulted in highest financial burden for individuals and countries. This can be corrected using external augmentation of the homeostasis loop. Recent progress in artificial pancreas for Type 1 Diabetes is a compelling example for such augmentation. In this paper we discuss emerging multimodal approaches for such augmentation in the context of chronical diseases. We show that multimodal sensing and fundamental technology developed by multimedia computing community may offer powerful augmentation of natural homeostasis to assist in management of chronic diseases.
Food is the most important element in determining quality of life. It is a source of enjoyment. It is also source of energy and nourishment to keep your body healthy. Bit, there is a serious tension: What I like to eat is not necessarily what my body wants me to eat. To enjoy food one must know individual tastes and effects of food on individual body. One should also know attributes of food related to taste and nutrition. In this talk this issue is addresses and an approach to recommend enjoyable healthy food is proposed.
What if an app could guide you to better health, similar to how GPS navigation directs you to your desired destination? What if the app could use real-time information to redirect you around a disease, just as you’re rerouted to avoid traffic? What if the app could provide step-by-step directions to get you to your optimal health state, whether you’re a professional athlete or retired school teacher? We discuss how this navigational approach to healthcare could become a reality by combining emerging technology with well-established cybernetic principles.
Rj imminent transformations in health shanghai 170510Ramesh Jain
Fundamental nature of health is changing. Current healthcare is legacy of caring infectious diseases, while chronic diseases are now the most prevalent in most societies. Health should be considered as a metanexus of genetics, lifestyle, environment, socio-economic situation and medical knowledge
Disasters Happen. We need to manage them to minimize the loss to life and property. Disaster management has been received much attention, but has not been touched much by the latest technology. This paper presents an approach to manage disasters using latest and popular technology. We are interested in building a community of researchers who are interested in developing such tools.
Talk at Wearable 2016 Symposium in Lausanne.
This presentation talks about use of wearables and other sensors for quantifying lifestyle and relating it to build model of personal health.
Qualitative Causality discovers potential causal relationships among the underlying phenomena for understanding, prevention, and planning using qualitative human understandable events rather than quantitative variables.
The 21st century began with a major disruption: the rapid rise of smartphones meant that capturing, storing, and sharing photos and their context became easier than using text. Photos and videos communicate directly, without the need for language or literacy. Until recently, photos were used as compelling memories. Now, photos are increasingly used to convey intent and information.related to a moment. A photo may be linked to many other photos along different dimensions. One may also create explicit links among photos or objects in photos. All photos on the Web form a Visual Web that links photos with other photos and other information elements including all documents on the WWW. This Visual Web offers opportunities to address new societal issues and solve many difficult yet unsolved problems. We discuss nature of the Visual Web, technical challenges, and some interesting opportunities in this area.
The nature of storytelling has been evolving. Now it is becoming more data-based in many applications. This objective storytelling is closely tied to rise of big data.
Multimedia and Big Data are closely related topic. Big data enables solving some important challenges in multimedia and basic principles of multimedia are the key issues in multimedia.
From health persona to societal health uci 131202Ramesh Jain
Personal life style plays important role in a person’s health. It is now possible to analyze and understand a person’s life style. Most people use phones with myriad sensors that continuously generate data streams related to most aspects of their life. By correlating these multi-sensory data streams, it is possible to create an accurate chronicle of a person’s life. By correlating life events with health related events, obtained using wearable sensors and other common sources of information, one can build health persona of a person. Health persona of a person is a long-term objective characterization of a person’s health. By using health persona for a large group of people, one can analyze and understand health patterns and causes of different diseases in a society. In this talk, we present a framework that collects, manages, and correlates personal data from heterogeneous data sources and detects events happening at personal level to build health persona. We use several data streams such as motion tracking, location tracking, activity level, and personal calendar data. We illustrate how recognition algorithms can be applied to Life Event detection problem and then build an objective chronicle for a person. We show how this could be combined with situation detection and help people in making decisions in their every day life. In this talk, we will present our ideas related to health persona, its impact on societal health, and its use in making decisions.
Designing intelligent social systems 121205Ramesh Jain
With emerging technologies and big data, it is now possible to design intelligent social systems. In this presentation, ideas related to designing such systems are presented
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.
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
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
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.
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.
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
DATA MODEL:
To capture events we need a common event model in order to avoid obfuscating event exploration and event-driven access to media.We used E-Model that introduces 6 facets for events (the circle diagram in the next slide) as the initial basis for our data model. We are currently building the formalizations of our data model which is based on this circle diagram. We are formally defining each facet in our data model. Each facet may involve structures and/or induced sub-graphs in addition to the RDF structure. However this is our future work and we will not talk about that here.