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15th Extended Semantic Web Conference (ESWC), Heraklion 2018

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The goal of the Semantic Web is to create a Web of knowledge and services in which the semantics of content is made explicit and content is linked to both other content and services allowing novel applications to combine content from heterogeneous sites in unforeseen ways and support enhanced matching between users needs and content. This network of knowledge-based functionality will weave together a large network of human knowledge, and make this knowledge machine-processable to support intelligent behaviour by machines. Creating such an interlinked Web of knowledge which spans unstructured text, structured data (e.g. RDF) as well as multimedia content and services requires the collaboration of many disciplines, including but not limited to: Artificial Intelligence, Natural Language Processing, Databases and Information Systems, Information Retrieval, Machine Learning, Multimedia, Distributed Systems, Social Networks, Web Engineering, and Web Science.


Anaphora and coreference resolution

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JOTA talks organized by SDJT - Slovensko društvo za jezikovne tehnologije hosted Dr Ruslan Mitkov, a Professor of Computational Linguistics and Language Engineering at the University of Wolverhampton, who gave a talk on anaphora and coreference resolution.


2nd European Language Resource Coordination (ELRC) Workshop, Ljubljana 2018

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Within the frame of the ELRC workshop we would like to discuss Slovenia's position and prospects in a digitally connected multilingual Europe. Moreover, the ELRC workshop seeks to highlight relevant national strategies and actions for eGovernment, multilingualism and open data that can help Slovenia maximize the impact of EC initiatives. In constructive dialogue with dedicated experts from the European Commission, high-level officials from the Slovenian public administration and government, language technologists, and language service providers, we would like to share experiences and needs for a modern multilingual public administration. Last but not least, we hope to jointly identify relevant sources of multilingual language resources that helps adapting CEF eTranslation to the needs of our national public services and addresses any technical and legal issues with regards to the use of data for automated translation.


2nd European Language Resource Coordination (ELRC) Workshop

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ELRC Network manages, maintains and coordinates the relevant language resources in all official languages of the EU and CEF associated countries. Within the frame of the ELRC workshop we would like to discuss Slovenia's position and prospects in a digitally connected multilingual Europe.


Self-organizing principles in branching morphogenesis

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The morphogenesis of branched organs remains a subject of abiding interest. Although much is known about the underlying signaling pathways, it remains unclear how macro-scopic features of branched organs, including their size, network topology, and spatial patterning, are encoded. Here, we show that, in mouse mammary gland, kidney, and hu-man prostate, these features can be explained quantitatively within a single unifying framework of branching and annihilating random walks. Based on quantitative analyses of large-scale organ reconstructions and proliferation kinetics measurements, we propose that morphogenesis follows from the proliferative activity of equipotent tips that stochas-tically branch and randomly explore their environment but compete neutrally for space, becoming proliferatively inactive when in proximity with neighboring ducts. These results show that complex branched epithelial structures develop as a self-organized process, reliant upon a strikingly simple but generic rule, without recourse to a rigid and determin-istic sequence of genetically programmed events.


Self-organizing principles in branching morphogenesis

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Prof. Dr. Edouard Hannezo, Assistant Professor at the Institute of Science and Technology (IST) Austria, is interested in understanding how cells "know" how to make the right decisions at the right time and at the right place during development and normal tissue homeostasis, as well as how these decisions are dysregulated during cancer initiation.


A robotic avatar for deep-sea exploration

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The promise of oceanic discovery has intrigued scientists and explorers, whether to study underwater ecology and climate change, or to uncover natural resources and historic secrets buried deep at archaeological sites. To meet the challenge of accessing oceanic depths, Stanford University, working with KAUST's Red Sea Research Center and MEKA Robotics, developed Ocean One, a bimanual force-controlled humanoid robot that affords immediate and intuitive haptic interaction in oceanic environments.


Ocean One - A robotic avatar for deep-sea exploration

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The discussion focuses on the development of Ocean One, a bimanual humanoid robotic diver that brings intuitive haptic physical interaction to oceanic environments. The robot was deployed during an expedition in the Mediterranean to Louis XIV's flagship Lune, lying off the coast of Toulon at 91 meters. Ocean One's demonstrated ability to distance humans physically from dangerous and unreachable spaces, while connecting their skills, intuition, and experience to the task, promises to fundamentally alter remote work. Robotic avatars will search for and acquire materials, build infrastructure, and perform disaster-prevention and recovery operations - be it deep in oceans and mines, on mountain tops, or in space.


Arbitrage of Forecasting Experts

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Forecasting is an important task across several domains. Its generalised interest is related to the uncertainty and evolving structure of time series. Forecasting methods are typically designed to cope with temporal dependencies among observations. In this paper we propose a novel approach where several forecasting models are dynamically combined to make a predictions.


Optimization of smart grids: Opportunities and directions

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In this talk we will present the various optimization problems encountered in smart grids from the production, transmission and distribution of energy as well as the demand side management in smart homes and the pricing of energy. The optimization opportunities are highlighted for metaheuristics, multi-objective optimization, optimization under uncertainty, optimization-simulation, optimization-machine learning and multi-level optimization.