Présentation EPFL-Public | 2014 1 Ecole Polytechnique Fédérale de Lausanne EPFL.
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Transcript of Présentation EPFL-Public | 2014 1 Ecole Polytechnique Fédérale de Lausanne EPFL.
Présentation EPFL-Public | 2014 1
Ecole PolytechniqueFédérale de LausanneEPFL
Présentation EPFL-Public | 2014 2LSIR Projects
Goal: Develop a participatory platformtowards the conceptualization of scientific knowledge and its large scale analysis.
Achievements: Developed a web-based system already used by many scientists for semantically importing, storing
and searching scientific data. Obtained a crowdsourced ontology with over 15K concepts for physics and life science
Motivation: The volume of research information outgrows our individual capacity to process it Publications and knowledge are scattered across different sources Scientific achievements rely on multiple disciplines
http://sciencewise.info
ScienceWise – JRA1A web-based scientific platform to boost research
Présentation EPFL-Public | 2014 3LSIR Projects
CloudSpaces –JRA5Open Service Platform for theNext Generation of Personal Clouds Easily usable privacy enhancing tools for end-users. Also allow users to transparently access data stored at multiple cloud services Allow small datacenters to share their resources to meet user demand
For privacy, we have proposed a novel framework that relies not just on content but also the context or semantics of data sharing
We base our framework on psychologically grounded models in order to determine privacy preferences
We use Crowdsourcing for determining sensitivity of sharing operations
Our software provides policy recommendations to users in order to share their files safely on any cloud platform
http://cloudspaces.eu
Présentation EPFL-Public | 2014 4LSIR Projects
Motivation: Internet has become the primary source of information Misleading, questionable and factually incorrect Web pages Serious consequences for decision-making in critical domains
Achievements: Novel Web credibility evaluation mechanisms
by leveraging crowdsourcing, big data analytics, machine learning, etc.
Game theoretic models for robust credibility evaluation.
A unique large-scale credibility corpus Web credibility evaluation prototype system
(http://www.reconcile.pl/)
Use cases: Credible Web search Online medical information credibility
evaluation Credibility control in an open shared
knowledge base (http://sciencewise.info)
Goal: Creation of new mechanisms for supporting users in the evaluation of Web content credibility.
Machine learning based credibility assessment
Snapshot of Reconcile credibility evaluation system prototype
http://reconcile.pjwstk.edu.pl/
Reconcile – JRA5 Robust Online Credibility Evaluation of Web Content
Présentation EPFL-Public | 2014 5LSIR Projects
Providing incentives to consumers to alter their behaviour and ensure energy balance Observing energy consumption data to infer patterns and measure the influence of DR
on energy consumption
Approach: Energy consumption disaggregation,
prediction and segmentation using statistical machine learning methods
Game-theoretic, economic and behavioural models of energy consumers
Field trials with residential and commercial consumers
Results: Design guidelines for effective
incentives to change energy consumption patterns
Tools and algorithms for energy data analytics
http://wattalyst.org
Wattalyst –JRA8 Modelling and Analysing Demand Response (DR) Systems