The document describes EnergyUse, a semantic platform that combines energy consumption monitors with an online forum to help users understand and reduce their energy usage. It collects electricity consumption data from smart plugs, publishes summary data using an EnergyUse ontology, and automatically generates semantic tags and descriptions for forum posts and topics to simplify browsing and maintenance. An initial trial involving 150 UK participants found the platform improved engagement and raised awareness of energy consumption.
The March 11, 2011 disaster created the need to review Japan’s energy architecture. We believe that it will take about 10 years for Japan to fully decide on a new energy and electricity architecture, and it will take about 3 years to reach decisions on the future of Japan’s nuclear power generation. Japan has taken a careful approach towards the development of renewable power, and renewable power - except for hydropower - is substantially lower than in most other advanced countries. Japan’s potential for renewable energy is very high, especially wind and geo-thermal power, and will required substantial changes in laws and regulations, and a decentralized and democratic approach to grid management. Necessary liberalization of Japan’s electricity markets is in preparation, and we will see a rapid development of renewable energy. This report reviews the current situation and the future potential of renewable electrical power in Japan.
Presentation of Japan Energy Transition from mid 20th century to present time. This presentation shows fossil energy to nuclear and finally renewable energy usages in Japan.
Highlights:
* Investigates opportunities to encourage early replacement of electric motors by more efficient ones.
* By installing efficient motors, energy is saved and CO2 emissions are reduced.
* Accelerated replacement also increases reliability and reduces risk of unplanned downtime.
* Energy Efficiency Directive (EED) encourages early replacement of motors.
The March 11, 2011 disaster created the need to review Japan’s energy architecture. We believe that it will take about 10 years for Japan to fully decide on a new energy and electricity architecture, and it will take about 3 years to reach decisions on the future of Japan’s nuclear power generation. Japan has taken a careful approach towards the development of renewable power, and renewable power - except for hydropower - is substantially lower than in most other advanced countries. Japan’s potential for renewable energy is very high, especially wind and geo-thermal power, and will required substantial changes in laws and regulations, and a decentralized and democratic approach to grid management. Necessary liberalization of Japan’s electricity markets is in preparation, and we will see a rapid development of renewable energy. This report reviews the current situation and the future potential of renewable electrical power in Japan.
Presentation of Japan Energy Transition from mid 20th century to present time. This presentation shows fossil energy to nuclear and finally renewable energy usages in Japan.
Highlights:
* Investigates opportunities to encourage early replacement of electric motors by more efficient ones.
* By installing efficient motors, energy is saved and CO2 emissions are reduced.
* Accelerated replacement also increases reliability and reduces risk of unplanned downtime.
* Energy Efficiency Directive (EED) encourages early replacement of motors.
Presentation prepared for "Alt Energy / Clean Tech" hedge fund; presented in early September 2009. Includes global energy overview, investment approach, and select long/short ideas (as of September 2009).
Due to the climate change, renewable energy with low carbon emission is a significant part of development (Mirzaii, 2017). There are several types of renewable energy that could be replenished naturally such as bioenergy, hydro, wind, solar and tidal. However, solar energy is considered as a powerful source that should be applied effectively. According to the study, 30 minutes of solar radiation could produce the energy which equal to world demand for one year (Singh, 2017b). Undoubtedly, solar energy systems might be the one of the sustainable solutions to substitute the fossil fuels.
Talk at the 2nd Summer Workshop of the Center for Semantic Web Research (January 16, 2016, Santiago, Chile) about the construction of Yahoo's Knowledge Graph and associated research challenges.
SET-Plan level, national and Regional Initiatives on Energy Communities, PV C...Michael Hübner
SET-Plan level, national and Regional Initiatives on Energy Communities, PV Community Self Consumption, Flexible and Energy Positive Districts
on 18 June 2019, 9:00-13:00, Scotland House, Rond-Point Schuman 6, 1040 Brussels, Belgium Brussels (Metro Station Schuman).
Registration: https://forms.gle/vr462xsvTf6riqKv7
The National Stakeholder Coordination Group (NSCG) of the ETIP Smart Networks for the Energy Transition is a sounding board and exchange platform for national R&I stakeholders in the area of smart energy systems and networks, enabling them to contribute actively to the European SET-Plan Action 4 and the implementation of its Implementation Plan. The NSCG addresses national R&I policy makers, R&I funding program managers, key research institutes (typically members of EERA), R&I platforms (“Technology Platforms” or similar – typically consisting of grid operators, technology providers, R&D-institutes) and experts from regulators.
The meeting will bring together the following SET-Plan Initiatives in order to provide networking opportunities and support creating synergies with national and regional initiatives:
• Stakeholder Initiative on PV Community Self Consumption (Supported by SET-Plan Action 4 Member States Working Group, ETIP PV, Solar ERA-Net, JPP ERA-Net Smart Energy Systems)
• Task Force on Energy Communities (Supported by BRIDGE, SET-Plan Action 4 Member States Working Group, JPP ERA-Net Smart Energy Systems)
• Initiative on Flexible or Energy Positive Districts (Supported by SET-Plan Action 3.2 Member States Working Group, JPI Urban Europe)
The meeting addresses particularly national and regional initiatives, demo projects, living labs, etc. in these fields as well as members of the above named SET-Plan initiatives.
Flagship Initiative Pilot Tutorial: EPA Report on the Environment
1. Background
2. EPA Report on the Environment
2.1 EPA’s Web and Electronic Versions
2.2 My First Semantic Publishing Version
2.3 My Second Semantic Publishing Version
3. Suggestions
4. Questions and Answers
Flagship Initiative Pilot Tutorial: EPA Report on the Environmentguest8c518a8
Flagship Initiative Pilot Tutorial: EPA Report on the Environment
1. Background
2. EPA Report on the Environment
2.1 EPA’s Web and Electronic Versions
2.2 My First Semantic Publishing Version
2.3 My Second Semantic Publishing Version
3. Suggestions
4. Questions and Answers
Calculation Tools & ICT Insights on energy saving: SAT-S, Save@Work, GreenSpe...ICT FOOTPRINT .eu
The 4th ICTFOOTPRINT free webinar has crucial information on ICT Calculation tools and Sustainable ICT insights on energy savings, on 23rd February 2017, 15:00 CET. All those who want to improve ICT energy efficiency in their business are welcome to join us in this exciting webinar.
After years of seemingly infinite IT resources, software developers are facing new efficiency challenges on smartphones and IoT devices. Mobile users want more features, but not less battery life. Thomas Corvaisier (CEO of GREENSPECTOR) introduced the concept of software eco-design, and tell us how it may help lowering the consumption of IT resources while preserving performance and user experience.
Frédéric Croisson, from Deloitte Sustainability, showcased the ICTFOOTPRINT.eu Self-Assessment Tool for Services (SAT-S), a useful, quick and easy-to-use tool that calculates the carbon footprint of your ICT services. The tool helps users not only to make informed decisions about how to make an ICT service sustainable, but also discover the impact of ICT devices & activities in terms of Green House Gas emissions and primary energy consumption.
Energy savings can be achieved thanks to simple sustainable daily practices, which can be implemented by organisations employees. Karen Robinson shared some sustainable ICT practices and introduce the save@work initiative, which encourages public sector employee’s to come together in teams to reduce the energy consumption of their building by making small changes to their everyday energy consuming behaviours. Adding an element of competition to the project has been a significant driver in encouraging teams to really examine and challenge those unconscious energy consuming behaviours. The scale of working in a large office has also highlighted those practices that on their own seem to make almost insignificant savings but when applied across an office of over 300 people, have a very different impact.
Presentation prepared for "Alt Energy / Clean Tech" hedge fund; presented in early September 2009. Includes global energy overview, investment approach, and select long/short ideas (as of September 2009).
Due to the climate change, renewable energy with low carbon emission is a significant part of development (Mirzaii, 2017). There are several types of renewable energy that could be replenished naturally such as bioenergy, hydro, wind, solar and tidal. However, solar energy is considered as a powerful source that should be applied effectively. According to the study, 30 minutes of solar radiation could produce the energy which equal to world demand for one year (Singh, 2017b). Undoubtedly, solar energy systems might be the one of the sustainable solutions to substitute the fossil fuels.
Talk at the 2nd Summer Workshop of the Center for Semantic Web Research (January 16, 2016, Santiago, Chile) about the construction of Yahoo's Knowledge Graph and associated research challenges.
SET-Plan level, national and Regional Initiatives on Energy Communities, PV C...Michael Hübner
SET-Plan level, national and Regional Initiatives on Energy Communities, PV Community Self Consumption, Flexible and Energy Positive Districts
on 18 June 2019, 9:00-13:00, Scotland House, Rond-Point Schuman 6, 1040 Brussels, Belgium Brussels (Metro Station Schuman).
Registration: https://forms.gle/vr462xsvTf6riqKv7
The National Stakeholder Coordination Group (NSCG) of the ETIP Smart Networks for the Energy Transition is a sounding board and exchange platform for national R&I stakeholders in the area of smart energy systems and networks, enabling them to contribute actively to the European SET-Plan Action 4 and the implementation of its Implementation Plan. The NSCG addresses national R&I policy makers, R&I funding program managers, key research institutes (typically members of EERA), R&I platforms (“Technology Platforms” or similar – typically consisting of grid operators, technology providers, R&D-institutes) and experts from regulators.
The meeting will bring together the following SET-Plan Initiatives in order to provide networking opportunities and support creating synergies with national and regional initiatives:
• Stakeholder Initiative on PV Community Self Consumption (Supported by SET-Plan Action 4 Member States Working Group, ETIP PV, Solar ERA-Net, JPP ERA-Net Smart Energy Systems)
• Task Force on Energy Communities (Supported by BRIDGE, SET-Plan Action 4 Member States Working Group, JPP ERA-Net Smart Energy Systems)
• Initiative on Flexible or Energy Positive Districts (Supported by SET-Plan Action 3.2 Member States Working Group, JPI Urban Europe)
The meeting addresses particularly national and regional initiatives, demo projects, living labs, etc. in these fields as well as members of the above named SET-Plan initiatives.
Flagship Initiative Pilot Tutorial: EPA Report on the Environment
1. Background
2. EPA Report on the Environment
2.1 EPA’s Web and Electronic Versions
2.2 My First Semantic Publishing Version
2.3 My Second Semantic Publishing Version
3. Suggestions
4. Questions and Answers
Flagship Initiative Pilot Tutorial: EPA Report on the Environmentguest8c518a8
Flagship Initiative Pilot Tutorial: EPA Report on the Environment
1. Background
2. EPA Report on the Environment
2.1 EPA’s Web and Electronic Versions
2.2 My First Semantic Publishing Version
2.3 My Second Semantic Publishing Version
3. Suggestions
4. Questions and Answers
Calculation Tools & ICT Insights on energy saving: SAT-S, Save@Work, GreenSpe...ICT FOOTPRINT .eu
The 4th ICTFOOTPRINT free webinar has crucial information on ICT Calculation tools and Sustainable ICT insights on energy savings, on 23rd February 2017, 15:00 CET. All those who want to improve ICT energy efficiency in their business are welcome to join us in this exciting webinar.
After years of seemingly infinite IT resources, software developers are facing new efficiency challenges on smartphones and IoT devices. Mobile users want more features, but not less battery life. Thomas Corvaisier (CEO of GREENSPECTOR) introduced the concept of software eco-design, and tell us how it may help lowering the consumption of IT resources while preserving performance and user experience.
Frédéric Croisson, from Deloitte Sustainability, showcased the ICTFOOTPRINT.eu Self-Assessment Tool for Services (SAT-S), a useful, quick and easy-to-use tool that calculates the carbon footprint of your ICT services. The tool helps users not only to make informed decisions about how to make an ICT service sustainable, but also discover the impact of ICT devices & activities in terms of Green House Gas emissions and primary energy consumption.
Energy savings can be achieved thanks to simple sustainable daily practices, which can be implemented by organisations employees. Karen Robinson shared some sustainable ICT practices and introduce the save@work initiative, which encourages public sector employee’s to come together in teams to reduce the energy consumption of their building by making small changes to their everyday energy consuming behaviours. Adding an element of competition to the project has been a significant driver in encouraging teams to really examine and challenge those unconscious energy consuming behaviours. The scale of working in a large office has also highlighted those practices that on their own seem to make almost insignificant savings but when applied across an office of over 300 people, have a very different impact.
Smart Data for Behavioural Change: Towards Energy Efficient BuildingsAnna Fensel
“The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation.” - this statement of Tim Berners-Lee has gained even more relevance since the start of this century.
The humanity is rapidly developing and persistently experiencing local and global challenges, such as global warming/climate change, dis-balances in demand and supply, among many others. Mastering most (if not all) of them require a behavior change. Behavioral change is difficult to achieve per se, and it is important that technology – as a major enabler - has a positive rather than a negative impact here.
Further, the dramatic growth of data volumes (Big Data, Internet of Things) and the data’s increased power and impact and on the people's daily lives are calling for new types, practices and policies of behavior with data.
These factors made the role of semantic technology even more crucial: in terms of providing a well-defined meaning, and eventually delivering Smart Data for a functional and fair data value chain.
Addressing the behavioural change with Smart Data, I discuss potential ICT solutions investigating the domain of energy efficient buildings. Particularly, our completed OpenFridge experiment will be presented: design and development of the Internet of Things data system with semantic and data analytics enablers for building new services on a top of typical home appliance data — in particular, refrigerators. The system has been evaluated with real life end-user pilots.
In conclusions, I overview our related ongoing work, namely, in the areas of the impact of Big Data on society and related research roadmapping (linking to sociology), personalized energy efficiency data management services in buildings (linking to psychology), and semantic data licensing (linking to law).
Towards a harmonization of metadata application profiles for agricultural lea...Gauri Salokhe
Metadata interoperability allows the exchange and preservation of crucial learning and teaching information, as well as its future reuse among a large number of different systems and repositories. This paper introduces work around metadata interoperability that has taken place in the context of the Agricultural Learning Repositories Task Force (AgLR-TF), an international community of the stakeholders that are involved in agricultural learning repositories. It particularly focuses on a review and assessment of metadata application profiles that are currently implemented in agricultural learning repositories. The results of this study can be found useful by who are designing, implementing and operating agricultural learning repositories, facilitating thus metadata interoperability in this application field.
Replicable NAMA Concept - Promoting the Use of Energy Efficient Motors in Ind...Leonardo ENERGY
* Introduces Nationally Appropriate Mitigation Actions (NAMAs).
* Proposed structure and design of the NAMA.
* Template for countries wishing to adopt the NAMA concept.
The need to model coupled energy networks to transition to a decarbonized futureLeonardo ENERGY
Webinar recording at https://youtu.be/2A-aVb6OHTE
The coordination between planners and operators of coupled energy systems will allow the further integration of renewable energy sources in the electricity network by storing energy in fuel form over long periods of time using power-to-gas, the recovery and more efficient use of heat, and the decarbonization of industrial processes and transportation modes that can’t be electrified. Energy networks, such as electricity grids and natural gas pipeline networks, have traditionally been planned and operated independently. In order to enhance the integration and coordination of different energy networks, they must be planned and operated in coupled ways. Different energy networks have historically been and are still modelled by different tools. In this presentation we will discuss the need model coupled energy systems in a single framework and we will introduce encoord’s Scenario Analysis Interface for Energy Systems (SAInt), a software application to model, plan, and operate coupled energy networks.
Introducing the Global Observatory on Peer-to-Peer, Community Self-Consumpti...Leonardo ENERGY
Launched in September 2019, the Global Observatory is a three-year collaborative research project led by University College London (UCL) under the User-Centred Energy Systems Technical Collaboration Programme by the International Energy Agency (IEA). It represents a forum for international collaboration to understand the policy, regulatory, social and technological conditions necessary to support the wider deployment of peer-to-peer, community self-consumption and transactive energy models. It includes 130 participants from 10+ countries, representing a range of sectors (academia, industry, non-profits) and currently working on the researching and implementation of these new business models. To learn more, please visit: https://userstcp.org/annex/peer-to-peer-energy-trading/.
Our domestic energy intervention study presentation for the NORDICHI2010 conference. Please see the accompanying video of Wattsup on slideshare.net at http://www.slideshare.net/LiSC_/wattsup
These slides use concepts from my (Jeff Funk) course entitled Biz Models for Hi-Tech Products to analyze the business model for a bio-battery. Bio-batteries store energy with organic compounds often with glucose. Because glucose has ten times the theoretical energy density as does li-ion batteries, there is a high potential for bio-batteries. Already dramatic improvements have been made in this energy density. We recommend that firms initially target implants such as pacemakers. The bio-compatibility of bio-batteries can reduce the frequency of battery replacements, which are expensive and non-trivial. Other potential markets include the military, electric vehicles, and portable devices.
This presentation will outline the innovative processes and techniques we are using to capture the data, information and knowledge surrounding Algae cultivation in NWE Europe with a view to developing sophisticated decision support tools. These tools will enable stakeholders to explore current activities and potential opportunities in their region and understand the economic, environmental and legislative issues surrounding the cultivation of algae for energy.
How to Replicate solutions for the flexibility challenge? ReFlex Guidebook pr...Leonardo ENERGY
This webinar provides guidance on characteristics and specificities of replication of Flexibility Use-Cases aimed at end-user’s services, supply side services, infrastructure modifications and direct energy storage. It highlights insights from the forthcoming ReFlex Replicability-Guidebook, drawing on the learning experience form ReFlex partners’ 8 demo sites in 4 countries (AT, CH, DE and SE) and a comprehensive socio-technical replicability concept, including the levels of technical functionality, market institutions and regulation, social and political practices, social networks and micro- and macro-economy.
The ReFlex-Guidebook include 4 Use-Cases. We will outline which socio-technical context factors are to be looked at before prospective replication projects are planned and implemented. The webinar will provide a checklist and information on some tools to support demo regions and the wider group of stakeholders in smart grid and smart energy system in co-creating and advancing their smart grid initiatives and replication projects.
Monitoring, Understanding, and Influencing the Co-Spread of COVID-19 Misinfor...Gregoire Burel
As part of the HERoS project, we developed and evaluated tools and methods to automatically detect and mitigate the impact of online misinformation during the COVID-19 pandemic. We analysed more than 3 years of fact-checks and social media data for understanding the relationship between fact-checking and misinformation across topics and demographics and developed the Fact-checking Observatory (FCO) (fcobservatory.org), a website that generates human-readable weekly reports about the spread of covid-related misinformation and fact-checks. As part of its research on misinformation, HERoS also investigated the effectiveness of a Twitter bot in reducing the sharing of misinforming content.
Monitoring, Understanding and Influencing the Co-Spread of COVID-19 Misinform...Gregoire Burel
Correcting misconceptions and false beliefs is important for inserting reliable information about COVID-19 into public discourse, but what impact does this have on the continued proliferation of misinforming claims? How can we track their impact over time? What is the best way to inform individuals about the misinformation they share? Using more than 3 years of data collected from Twitter and fact-checking organisations, we discuss the relationship between fact-checking and misinformation across topics and demographics. We then proceed to show how the Fact-checking Observatory, a website that generates human-readable weekly reports automatically about the spread of covid-related misinformation and fact-checks can be used for monitoring such information over time. Finally, we analyse early results about the effectiveness of our Twitter bot in reducing individual sharing of misinforming content.
Monitoring and Understanding the Co-Spread of COVID-19 Misinformation and Fac...Gregoire Burel
Monitoring and Understanding the Co-Spread of COVID-19 Misinformation and Fact-checks”. Using more than 3 years of data collected from Twitter and fact-checking organizations and a combination of spread variance analysis, impulse response modeling, and causal analysis, we will highlight the weak causal relationships between the spread of misinformation and fact-checks and discuss what topics are the less likely to be affected by fact-checks. We will also show how the proposed observatory can be used for tracking demographics, fact-checks, and topics over time.
Co-Spread of Misinformation and Fact-Checking Content during the Covid-19 Pan...Gregoire Burel
In the context of the Covid-19 pandemic, the consequences of misinformation are a matter of life and death. Correcting misconceptions and false beliefs are important for injecting reliable information about the outbreak. Fact-checking organisations produce content with the aim of reducing misinformation spread, but our knowledge of its impact on misinformation is limited. In this paper, we explore the relation between misinformation and fact-checking spread during the Covid-19 pandemic. We specifically follow misinformation and fact-checks emerging from December 2019 to early May 2020. Through a combination of spread variance analysis, impulse response modelling, and causal analysis, we show similarities in how misinformation and fact-checking information spread and that fact-checking information has a positive impact on reducing misinformation. However, we observe that its efficacy can be reduced, due to the general amount of online misinformation and the short-term spread of fact-checking information compared to misinformation.
Crisis Event Extraction Service (CREES) – Automatic Detection and Classificat...Gregoire Burel
Social media posts tend to provide valuable reports during crises. However, this information can be hidden in large amounts of unrelated documents. Providing tools that automatically identify relevant posts, event types (hurricane, floods, etc.) and information categories (reports on affected individuals, donations and volunteers, etc.) in social media posts is vital for their efficient handling and consumption. We introduce the Crisis Event Extraction Service (CREES), an open-source web API that automatically classifies posts during crisis situations. The API provides annotations for crisis-related documents, event types and information categories through an easily deployable and accessible web API that can be easily integrated into multiple platform and tools. The annotation service is backed by Convolutional Neural Networks (CNN) and validated against traditional machine learning models. Results show that the CNN-based API is consistent with the baselines and can be relied upon when dealing with specific crises.
Semantic Wide and Deep Learning for Detecting Crisis-Information Categories o...Gregoire Burel
When crises hit, many flog to social media to share or consume information related to the event. Social media posts during crises tend to provide valuable reports on affected people, donation offers, help requests, advice provision, etc. Automatically identifying the category of information (e.g., reports on affected individuals, donations and volunteers) contained in these posts is vital for their efficient handling and consumption by effected communities and concerned organisations. In this paper, we introduce Sem-CNN; a wide and deep Convolutional Neural Network (CNN) model designed for identifying the category of information contained in crisis-related social media content. Unlike previous models, which mainly rely on the lexical representations of words in the text, the proposed model integrates an additional layer of semantics that represents the named entities in the text, into a wide and deep CNN network. Results show that the Sem-CNN model consistently outperforms the baselines which consist of statistical and non-semantic deep learning models.
Paper access: http://oro.open.ac.uk/51726/
DoRES — A Three-tier Ontology for Modelling Crises in the Digital AgeGregoire Burel
During emergency crises it is imperative to collect, organise, analyse and share critical information between individuals and humanitarian organisations. Although different models and platforms have been created for helping these particular issues, existing work tend to focus on only one or two of the previous matters. We propose the DoRES ontology for representing information sources, consolidating it into reports and then, representing event situation based on reports. Our approach is guided by the analysis of 1) the structure of a widely used situation awareness platform; 2) stakeholder interviews, and; 3) the structure of existing crisis datasets. Based on this, we extract 102 different competency questions that are then used for specifying and implementing the new three-tiers crisis model. We show that the model can successfully be used for mapping the 102 different competency questions to the classes, properties and relations of the implemented ontology.
Monitoring, Discussing and Publishing Energy Consumption Data using EnergyUseGregoire Burel
We introduce EnergyUse, a collaborative website designed for raising climate change awareness by offering users the ability to view and compare the actual energy consumption of various appliances, and to share and discuss energy conservation tips in an open and social environment. The platform collects data from smart plugs, and exports appliance consumption and community generated energy tips as linked data. EnergyUse is supported by multiples automatic processes that semantically link related contributions, generate appliances descriptions and publish consumption data using the EnergyUse ontology.
Structural Normalisation Methods for Improving Best Answer Identification in ...Gregoire Burel
Nowadays, Question Answering (Q&A) websites are popular source of information for finding answers to all kind of questions. Due to this popularity it is critical to help the identification of best answers to existing questions for simplifying the access to relevant information.
Although it is possible to identify relatively accurately best answers by using binary classifiers coupled with user, content and thread features, existing works have generally ignored to incorporate the thread-like structure of Q&A communities in the design of best answer identification predictors.
This paper investigates this particular issue by studying structural normalisation techniques for improving the accuracy of feature based best answer identification models.
Thread-based normalisation methods are introduced for improving the accuracy of identification models by introducing a systematic normalisation approach that normalise predictors by taking into account relations between features and the thread-like structure of Q&A communities. Compared to similar non normalised models, better results are obtained for each of the three communities studied. These results show that structural normalisation methods can improve the identification of best answers compared to non-normalised models.
Quantising Contribution Effort in Online CommunitiesGregoire Burel
We describe the Joint Effort-Topic (JET) model and the Author Joint Effort-Topic (αJET) model that estimate the effort required for users to contribute on different topics. We propose to learn word-level effort taking into account term preference over time and use it to set the priors of our models. Since there is no gold standard which can be easily built, we evaluate them by measuring their abilities to validate expected behaviours such as correlations between user contributions and the associated effort.
Predicting Answering Behaviour in Online Question Answering CommunitiesGregoire Burel
The value of Question Answering (Q&A) communities is dependent on members of the community finding the questions they are most willing and able to answer. This can be difficult in communities with a high volume of questions. Much previous has work attempted to address this problem by recommending questions similar to those already answered. However, this approach disregards the question selection behaviour of the answers and how it is affected by factors such as question recency and reputation. In this paper, we identify the parameters that correlate with such a behaviour by analysing the users’ answering patterns in a Q&A com- munity. We then generate a model to predict which question a user is most likely to answer next. We train Learning to Rank (LTR) models to predict question selections using various user, question and thread feature sets. We show that answering behaviour can be predicted with a high level of success, and highlight the particular features that influence users’ question selections.
A Question of Complexity - Measuring the Maturity of Online Enquiry CommunitiesGregoire Burel
Online enquiry communities such as Question Answering (Q&A) websites allow people to seek answers to all kind of questions. With the growing popularity of such platforms, it is important for community managers to constantly mon- itor the performance of their communities. Although differ- ent metrics have been proposed for tracking the evolution of such communities, maturity, the process in which communities become more topic proficient over time, has been largely ignored despite its potential to help in identifying robust communities. In this paper, we interpret community maturity as the proportion of complex questions in a community at a given time. We use the Server Fault (SF) community, a Question Answering (Q&A) community of system administrators, as our case study and perform analysis on question complexity, the level of expertise required to answer a question. We show that question complexity depends on both the length of involvement and the level of contributions of the users who post questions within their community. We extract features relating to askers, answerers, questions and answers, and analyse which features are strongly correlated with question complexity. Although our findings highlight the difficulty of automatically identifying question complexity, we found that complexity is more influenced by both the topical focus and the length of community involvement of askers. Following the identification of question complexity, we define a measure of maturity and analyse the evolution of different topical communities. Our results show that different topical communities show different maturity patterns. Some communities show a high maturity at the beginning while others exhibit slow maturity rate.
Automatic Identification of Best Answers in Online Enquiry CommunitiesGregoire Burel
Online communities are prime sources of information. The Web is rich with forums and Question Answering (Q&A) communities where people go to seek answers to all kinds of questions. Most systems employ manual answer-rating procedures to encourage people to provide quality answers and to help users locate the best answers in a given thread. However, in the datasets we collected from three online communities, we found that half their threads lacked best answer markings. This stresses the need for methods to assess the quality of available answers to: 1) provide automated ratings to fill in for, or support, manually assigned ones, and; 2) to assist users when browsing such answers by filtering in potential best answers. In this paper, we collected data from three online communities and converted it to RDF based on the SIOC ontology. We then explored an approach for predicting best answers using a combination of content, user, and thread features. We show how the influence of such features on predicting best answers differs across communities. Further we demonstrate how certain features unique to some of our community systems can boost predictability of best answers.
L’émergence de larges répertoires de données sémantiques et interconnectées crée de nouvelles opportunités quant à l’utilisation et au partage d’informations au sein d’applications intelligentes. Cette nouvelle façon de publier des données aide à la découverte d’informations structurées et contextuelles ainsi qu’à la réutilisation de données existantes. Dans ce contexte, il est important pour un individu ou une organisation de distribuer ces informations selon le même principe afin d’assurer la pérennité et le partage de ces données sémantiques.
Pour l’instant, la plupart des publications sur le Web de Données sont le plus souvent soit complètement ouvertes (Open Linked Data), soit complètement fermées (intranets). De plus, la publication de ces données reste restreinte à la publication de larges ensembles de données approuvées et éditées par de larges organisations limitant ainsi la création de base de données individuelles nécessaires au développement d’un Sémantique Web centré autour de ses utilisateurs plutôt que sur ses données (Social Semantic Web).
Avant de mettre à disposition ses informations, un individu ou une organisation a besoin d’être sûr que ses informations sont uniquement accessibles et modifiables par des personnes autorisées. Dans ce contexte, il est impératif d’identifier l’entité qui publie une information particulière ainsi que la personne qui essaie d’y accéder ou de la modifier. Il requiert d’organiser le Web de Données autour de répertoires personnels et décentralisés combinant à la fois la représentation d’un individu, son identification (et authentification) ainsi que ses informations tout en gérant leur accès.
Bien que le web sémantique contienne ses propres modèles identitaires (FOAF and WebID) et protocoles chargés d’identifier et autoriser des communications entre différentes parties (FOAF+SSL), il n’existe pour l’instant aucune plateforme combinant ces différentes technologies.
Asterid est un serveur de données sémantiques qui permet d’organiser et de partager des informations structurées autour de répertoires de données privées et personnelles tout en supportant l’identification et authentification de leur créateur et utilisateur.
Notre présentation sera l’occasion de montrer les différents modèles nécessaires au développement d’une telle architecture : le Web de données, l’ontologie FOAF, le protocole d’identification FOAF+SSL ainsi que la gestion de contrôle d’accès sur le Web Sémantique. Notre présentation alternera entre l’introduction de ces modèles théoriques et leur effective application dans la plateforme Asterid.
The World Wide Web has evolved into a distributed network of interactive web applications facilitating the publication of information on a large scale. Judging whether such information can be trusted is a difficult task for humans, often leading to blind trust. The veracity ontology allows trust to be placed in web content by web users and agents. Moreover the approach differs from current work by allowing the trustworthiness of web content to be asserted through the provision of machine readable proofs (i.e. by citing another piece of information, or stating the credentials of the user/agent).
http://purl.org/net/veracity/ns#
Sparks O3 Browser: Augmenting the Web with Semantic OverlaysGregoire Burel
This presentation presents Ozone Browser (OB), a JavaScript tool that uses the semantics embedded in Web documents for improving the user interaction experience.
Ozone won the second prize at sfsw2009.
This work as been done by:
Grégoire Burel,
Amparo E. Cano,
Vitaveska Lanfranchi.
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
This 7-second Brain Wave Ritual Attracts Money To You.!
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
1. GRÉGOIRE BUREL, LARA S. G. PICCOLO, HARITH
ALANI
Knowledge Media Institute, The Open University, Milton Keynes, UK.
ISWC’16, Kobe, Japan.
17-21 October 2016.
EnergyUse - A Collective Semantic Platform
for Monitoring and Discussing Energy
Consumption
User Profiles
Energy Consumption
Processing
O
2
Readings/
Data
Summary
2. Outline
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
Publications
2
Climate Change Impact/Awareness
Increasing Citizen Awareness
The EnergyUse platform
- Platform Components and Architecture
- Platform Design
- Discussion Pages
- Appliance and Topic Pages
- Profile Pages
- Semantic Components
- Semantic Tagging
- Semantic Description
- Data Collection and Publishing (EnergyUse Ontology)
- Analysis
Conclusion
3. Outline
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
Publications
3
Climate Change Impact/Awareness
Increasing Citizen Awareness
Platform Design Guidelines
The EnergyUse platform
- Platform Components and Architecture
- Platform Design
- Discussion Pages
- Appliance and Topic Pages
- Profile Pages
- Semantic Components
- Semantic Tagging
- Semantic Description
- Data Collection and Publishing (EnergyUse Ontology)
- Analysis
Conclusion
EnergyUse Demo today 18h-21h.
4. Climate Change Impact/Awareness
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
Publications
4
The rise in average of Earth surface
temperature is expected to cost in the
USA alone $500 billion by 2025 and the
World Health Organisation (WHO)
predicts that it will cause 250k additional
death per years by 2030.
- Citizen are do not necessarily know
what concrete actions to take to
fight climate change.
- Citizen engagement around energy
conservation is complex.
!
CC/Flickr/AsianDevelopmentBank
5. Climate Change Impact/Awareness
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
Publications
5
How can we help citizen to better
understand their electric energy
consumption and encourage them to
reduce their carbon footprint ?
1. Enable a social experience where
users of different communities can
discuss energy related topics and
motivate each others.
2. Allow citizen to see their own energy
consumption and compare with
others to better understand their
carbon footprint.
?
!
Discussions
User Profiles
Topic/Appliance PagesEnergy
Readings
A
Energy Consumption
Processing
Smart Plugs Data
1
2
Readings/
Data
Summary
1
1
2
1
5
Ge
Dat
Automatic Semantic Description
Fetch Content
Fetch
Context
Get Concept
Label
Add
Description
https://energyuse.eu
6. Increasing Citizen Awareness
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
Publications
6
Enable a social experience where users of
different communities can discuss energy related
topics and motivate each others.
Social platforms such as online forums can be
used for sharing energy related tips and
information.
Online communities are easy to setup and have
higher reach than offline local communities.
The information shared in online communities
can be distant from the needs of individuals.
?
!
+
-
7. Increasing Citizen Awareness
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
Publications
7
Allow citizen to see their own energy
consumption and compare with others
to better understand their carbon footprint.
Energy monitors and smart plugs can
be used for giving instant energy
consumption feedback to citizen.
Energy monitors can lead to energy
savings of 5-15%.
Energy monitors rarely attract user’s
attention for more than a few weeks,
unless combined with other interventions,
such as providing tips and social
engagement.
?
Display
Display Plug
!
+
-
8. EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
Publications
8
How can we help citizen to better understand
their electric energy consumption and encourage
them to reduce their carbon footprint ?
Create a platform that combine an online forum
with energy monitors for helping users to get
more accurate information.
?
!
+
Increasing Citizen Awareness
9. EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
Publications
9
How can we help citizen to better understand
their electric energy consumption and encourage
them to reduce their carbon footprint ?
Create a platform that combine an online forum
with energy monitors for helping users to get
more accurate information.
?
!
+
Increasing Citizen Awareness
User Profiles
Topic/Appliance Pages
nsumption
ssing
Ontology
Mapper
EU
Ontology
2
Readings/
Data
Summary
1 2
10. The Energyuse.eu Platform
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
Publications
10
The EnergyUse platform:
- Written in Python/Django.
- Extends the Biostar Question
Answering (Q&A) platform.
- Currently deployed as part of a
restricted user trial.
The EnergyUse Community:
- The platform is deployed as part
of a user trial (150 UK participants
supplied with energy monitors).
- 58 registered users, 67 concepts,
121 posts and 36 discussions
(April 2016).
Discussions
User Profiles
Topic/Appliance PagesEnergy
Readings
Au
Energy Consumption
Processing
Annotation Service
Smart Plugs Data
1
2
Readings/
Data
Summary
1
1
2
1
5
Get
Data
Automatic Semantic Description
generator
Fetch Content
Fetch
Context
Get Concept
Label
Add
Description
https://energyuse.eu
11. Platform Components and Architecture
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
11
Discussions
User Profiles
Topic/Appliance PagesEnergy
Readings
Automatic Semantic Tagging
Energy Consumption
Processing
Ontology
Mapper
EU
Ontology
Annotation Services
Clima
Term Content
Annotation
Open
Linked Data
SPARQL/REST
Query
Knowledge Bases
GEMET
Thesaurus
Smart Plugs Data
1
2
Readings/
Data
Summary
1 2
SPARQL/REST
Query
Content
Annotation
1
2
3
1
2
34
4
5
Add
Concepts
Get
Data
Automatic Semantic Description
generator
Fetch Content
Fetch
Context
Get Concept
Label
Add
Description
(Biostar)
12. Platform Design
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
12
14. Appliance and Topic Pages
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
14
15. Profile Pages
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
15
16. Semantic Components
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
16
Discussions
User Profiles
Topic/Appliance PagesEnergy
Readings
Automatic Semantic Tagging
Energy Consumption
Processing
Ontology
Mapper
EU
Ontology
Annotation Services
Clima
Term Content
Annotation
Open
Linked Data
SPARQL/REST
Query
Knowledge Bases
GEMET
Thesaurus
Smart Plugs Data
1
2
Readings/
Data
Summary
1 2
SPARQL/REST
Query
Content
Annotation
1
2
3
1
2
34
4
5
Add
Concepts
Get
Data
Automatic Semantic Description
generator
Fetch Content
Fetch
Context
Get Concept
Label
Add
Description
(Biostar)
17. Semantic Components
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
17
Discussions
User Profiles
Topic/Appliance PagesEnergy
Readings
Automatic Semantic Tagging
Energy Consumption
Processing
Ontology
Mapper
EU
Ontology
Annotation Services
Clima
Term Content
Annotation
Open
Linked Data
SPARQL/REST
Query
Knowledge Bases
GEMET
Thesaurus
Smart Plugs Data
1
2
Readings/
Data
Summary
1 2
SPARQL/REST
Query
Content
Annotation
1
2
3
1
2
34
4
5
Add
Concepts
Get
Data
Automatic Semantic Description
generator
Fetch Content
Fetch
Context
Get Concept
Label
Add
Description
(Biostar)
18. Semantic Tagging
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
18
EnergyUse add tags automatically existing
discussions in order to simplify user browsing:
- The content of posts is used with DBPedia
Spotlight and the ClimaTerm annotation tools.
- Spotlight annotate posts with DBPedia entities
(General terms).
- ClimaTerm uses GEMET as a data source
(Specialised on environmental terms).
- All terms from ClimaTerm are used since the
tool is specialised to deal with environmental
terms
- In the case of Spotlight, only appliances are
selected.
Discussions
Topic/Appliance PagesEnergy
Readings
Automatic Seman
Ontology
Mapper
Annotation Services
Clima
Term C
An
SPARQL/REST
Query
Knowledge Bases
GEMET
Thesaurus
Smart Plugs Data
1 1
SP
Content
Annotation
1
2
3
1
4
4
5
Get
Data
Automatic Semantic Description
generator
Fetch Content
Fetch
Context
Get Concept
Label
Add
Description
19. Semantic Descriptions
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
19
Each appliance/topic page has a description,
background image and icon for helping users to
understand them better.
This information needs manual input from system
administrators and can remain empty.
EnergyUse uses an approach similar to the
semantic tagging for generating descriptions
from DBpedia:
- dbo:abstract is used for the description text.
- dbo:thumbnail is used for the background
image.
- dbc:Home_appliances indicates if a topic is an
appliance.
Discussions
Topic/Appliance PagesEnergy
Readings
Automatic Seman
Ontology
Mapper
Annotation Services
Clima
Term C
An
SPARQL/REST
Query
Knowledge Bases
GEMET
Thesaurus
Smart Plugs Data
1 1
SP
Content
Annotation
1
2
3
1
4
4
5
Get
Data
Automatic Semantic Description
generator
Fetch Content
Fetch
Context
Get Concept
Label
Add
Description
!
21. Data Collection and Publishing
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
21
EnergyUse collects electricity consumption data from users
using energy monitors and smart plugs supplied by
Green Energy Options (GEO):
- Supports 41 different appliance types (e.g. TV, Kettle,
PC…).
- Data is collected every 15 minutes and
synchronised once a day with the EnergyUse
platform.
- For each plug, 96 readings are collected every day.
- Users can visualise their own consumption.
- For each appliances, public summary data are
computed using the collected data (e.g. mean, min,
max and mean daily consumption).
- The summary consumption data as well as public
conversations are then published as JSON-LD using
the EnergyUse ontology.
Display Plug
Display Plug
23. Analysis – Semantic Tagging / Descriptions
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
23
Semantic Tag Generation
- 48 user tags and 17 additional automatic tags with
ClimaTerm and 4 tags (2 new) with Spotlight.
- Tag network density increases from 0.061 to
0.065.
Semantic Descriptions
- 67 concept labels with only 25 manually annotated.
- Out of 67 labels, 46 were automatically linked to the
proper entity (69%).
- 65% of the tags were correctly identified as
appliances.
24. Analysis - LD and Scalability
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
24
Linked Data Publishing:
- The platforms publishes 58 user profiles, 121 posts
from 38 discussions and consumption data for 37
appliances (April 2016).
- The EnergyUse ontology reuse important ontologies
such as FOAF and Dublin Core Terms.
- Data can be accessed in web pages as JSON-LD.
Scalability:
- Average loading time is currently 4.02 seconds
without caching mechanisms.
- The Biostar platform is scalable and used for hosting
Q&A websites that receive more than 600 visits per
hour (26k users / 181k posts)
25. Conclusions and Future Work
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
Conclusions
- EnergyUse is a collective platform that
raises user engagement and awareness
about energy consumption.
- The platform combines energy
monitors with a forum.
- In order to simplify data access, summary
data is published as JSON-LD using the
EnergyUse ontology.
- For simplifying platform maintenance and
information access, topic descriptions are
generated automatically and posts are are
also tagged automatically.
25
1 2
Future/Current Work
- Use additional annotation tools for
improving appliance/tag identification.
- Allow manual energy reading
submissions.
- User survey and usability evaluation of the
platform (later this month).
- Increase energy trial to additional user
groups.
EnergyUse Demo today 18h-21h.
26. Questions and Discussion
@
Email: g.burel@open.ac.uk
Twitter: @evhart
EnergyUse:
https://energyuse.eu
EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
26