UPM GSI Presentation
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The document summarizes the research of the Intelligent Systems Group at the Technical University of Madrid. The group conducts research in areas including big data and machine learning, multi-agent systems, social simulation, linked data and semantics, information retrieval, and web and service engineering. Key projects include using Bayesian models for telecommunications network diagnosis, developing personal assistant agents, and simulating behavior in social networks and smart spaces. The group develops tools in areas such as sentiment analysis, semantic search, and linked data visualization.
UPM GSI Presentation
- 1. Intelligent Systems Group (GSI) Carlos A. Iglesias Grupo de Sistemas Inteligentes Departamento de Ingeniería de Sistemas Telemáticos Universidad Politécnica de Madrid Autor: Grupo de Sistemas Inteligentes Universidad Politécnica de Madrid
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- 4. Universidad Politécnica de Madrid
- 6. Department Telematic Systems Engineering
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- 9. Research areas Big Data & Machine Learning Agents & Social Simulation IR & Sentiment Analysis Linked Data & Semantics Web & Service engineering
- 10. Big Data & Machine learning Agents & Social Simulation ■ Distributed Diagnosis & Classification ● Uncertainty management & Bayesian networks ● Network and Service monitoring / diagnosis ● Agents & Argumentation ■ Large scale semantic search ■ Social Network Analysis ● Big Simulation – Social network simulation and what-if analysis – Prediction & Evaluation policies ● Sentiment & Emotion Analysis Big Data & Machine Learning IR & Sentiment Analysis Linked Data & Semantics Web & Service engineering
- 11. Case study: Troubleshooting in Telefonica Big Data & Machine Learning Agents & Social Simulation Linked Data & Semantics Web & Service engineering IR & Sentiment Analysis ■ Bayesian model ■ In production in Spain and Czech Republic ■ Precision > 80%
- 12. Multiagent Systems (MAS) Agents & Social Simulation ■ Personal assistants ● Intelligent automation in the Evented Web ● Mediator agents managing when users can be interrupted ■ Methodologies ● MAS-CommonKADS – More than 800 cites in Google Scholar ● Agreement Patterns ● Beast – Agile Testing Big Data & Machine Learning IR & Sentiment Analysis Linked Data & Semantics Web & Service engineering
- 13. Social based Agent Simulation Agents & Social Simulation ■ Probabilistic models for Simulation of … ● social behaviour (ageing, human psychologies, ...) ● smart spaces (sensors, ...) ● emergencies: evacuation policies ● social networks such as Twitter ● Telecommunication networks / IoT ■ Benefits ● Improve Testing Capabilities at minimum cost ● Behaviour Prediction Big Data & Machine Learning IR & Sentiment Analysis Linked Data & Semantics Web & Service engineering
- 14. Case study Calista / Thofu - IoT Agents & Social Simulation ■ Smart home automation / Intelligent Hotel ● Platform combining Sensor Networks, CEP and semantic technologies for Internet and Sensor automation (now Raspberry ones) ■ Social simulation of Smart Spaces ● Crowd management - Evacuation ● Social choice for shared recources ● Elderly / psychological feature simulation Big Data & Machine Learning IR & Sentiment Analysis Linked Data & Semantics Web & Service engineering
- 15. Linked Data & Semantic technologies Big Data & Machine Learning Agents & Social Simulation Linked Data & Semantics IR & Sentiment Analysis ■ Semantic Technologies and Web2.0 ● Lightweight semantics for services ● Ontologies for ad-hoc services ■ Linked data Visualisation ■ Semantic Idea / Innovation Management Web & Service engineering
- 16. Information Retrieval and Sentiment & Emotion analysis Big Data & Machine Learning Agents & Social Simulation Linked Data & Semantics Web & Service engineering IR & Sentiment Analysis ■ Sentiment and Emotion Analysis in Social Networks ● Vocabularies Onyx / Marl integrated with Lemon and NIF ● Cochairing W3C CG on Linked Data Models for Emotion and Sentiment Analysis ■ Semantic search and ranking algorithms based on social metrics and taxonomies ■ NLP interfaces & Bots
- 17. Web & Service Engineering Big Data & Machine Learning Agents & Social Simulation Linked Data & Semantics Web & Service engineering IR & Sentiment Analysis ■ Semantic scraping & rule induction ■ Semantic annotation of mashups ■ Semantic discovery: metadirectory of Yahoo Pipes, Programmable Web and Opera widgets
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- 19. GSI Tools - Agents NSP-0973-2DA-4N Personal Agents IoT Agile Testing Telco & IoT Diagnosis Social Simulation Bayesian models & Argumentation
- 20. GSI Tools NLP Sentiment & Emotion Analysis GSIBot – QA & Notification Management
- 21. GSI Tools – Semantics, IR & LD >> SSeemmaannttiicc SSccrraappiinngg >> SSeemmaannttiicc SSeeaarrcchh -- SSeemmaattcchh >> LLiinnkkeedd DDaattaa VViissuuaalliizzaattiioonn >> IIddeeaa MMaannaaggeemmeenntt
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- 23. Recent EU Projects FP7 SmartOpenData Linked Data for Environment FP7 Omelette Semantic Discovery for Telco Mashup Development FP7 Eurosentiment Linguistic Linked Data for Sentiment and Emotion Analysis FP7 Romulus Domain Driven Design for Mashup Development
- 24. Recent national projects Sentiment in Financial Tweets Big Data & Simulation QQAA AAggeenntt IoT Evacuation simulation IoT Intelligent Automation Semantic Search & Big Data
- 25. Contact ■ http://www.gsi.dit.upm.es ■ Github https://github.com/gsi-upm ■ Carlos A. Iglesias cif@gsi.dit.upm.es