EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

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

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OutlineEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

PublicationsClimate Change Impact/AwarenessIncreasing Citizen AwarenessThe 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)

- AnalysisConclusion

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OutlineEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

PublicationsClimate Change Impact/AwarenessIncreasing Citizen AwarenessPlatform Design GuidelinesThe 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)

- AnalysisConclusion

EnergyUse Demo today 18h-21h.

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Climate Change Impact/AwarenessEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

PublicationsThe 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.

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Climate Change Impact/AwarenessEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

PublicationsHow 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.

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https://energyuse.eu

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Increasing Citizen AwarenessEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

PublicationsEnable 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.

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Increasing Citizen AwarenessEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

Publications

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.

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Publications

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.

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Increasing Citizen Awareness

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Publications

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.

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Increasing Citizen Awareness

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The Energyuse.eu PlatformEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

PublicationsThe 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).

https://energyuse.eu

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Platform Components and Architecture


(Biostar)

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Platform DesignEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

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Discussion PagesEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

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Appliance and Topic PagesEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

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Profile PagesEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

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Semantic ComponentsEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

(Biostar)

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Semantic ComponentsEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

(Biostar)

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Semantic TaggingEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

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.

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Semantic DescriptionsEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

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.

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Semantic DescriptionsEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

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Data Collection and PublishingEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

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.

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The EnergyUse OntologyEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

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Analysis – Semantic Tagging / Descriptions


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.

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Analysis - LD and ScalabilityEnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

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)

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Conclusions and Future Work


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.

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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.

Questions and Discussion

@Email: [email protected]: @evhartEnergyUse: https://energyuse.eu


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EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption

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