Literatura académica sobre el tema "Interlinked Data"
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Artículos de revistas sobre el tema "Interlinked Data"
Auer, Sören y Jens Lehmann. "Creating knowledge out of interlinked data". Semantic Web 1, n.º 1,2 (2010): 97–104. http://dx.doi.org/10.3233/sw-2010-0019.
Texto completoOvermeyer, L., J. Dreyer y D. Altmann. "Data mining based configuration of cyclically interlinked production systems". CIRP Annals 59, n.º 1 (2010): 493–96. http://dx.doi.org/10.1016/j.cirp.2010.03.081.
Texto completoNishanbaev, Ikrom, Erik Champion y David A. McMeekin. "A Comparative Evaluation of Geospatial Semantic Web Frameworks for Cultural Heritage". Heritage 3, n.º 3 (12 de agosto de 2020): 875–90. http://dx.doi.org/10.3390/heritage3030048.
Texto completoRiekhof, Marie-Catherine. "The insurance premium in the interest rates of interlinked loans in a small-scale fishery". Environment and Development Economics 24, n.º 1 (30 de agosto de 2018): 87–112. http://dx.doi.org/10.1017/s1355770x18000311.
Texto completoLI, YUNJIA, MIKE WALD y GARY WILLS. "APPLYING LINKED DATA IN MULTIMEDIA ANNOTATIONS". International Journal of Semantic Computing 06, n.º 03 (septiembre de 2012): 289–313. http://dx.doi.org/10.1142/s1793351x12400090.
Texto completoSCHLICHT, ANNE y HEINER STUCKENSCHMIDT. "PEER-TO-PEER REASONING FOR INTERLINKED ONTOLOGIES". International Journal of Semantic Computing 04, n.º 01 (marzo de 2010): 27–58. http://dx.doi.org/10.1142/s1793351x10000948.
Texto completoPassant, Alexandre, Matthias Samwald, John G. Breslin y Stefan Decker. "Federating Distributed Social Data to Build an Interlinked Online Information Society". IEEE Intelligent Systems 24, n.º 6 (noviembre de 2009): 44–48. http://dx.doi.org/10.1109/mis.2009.113.
Texto completoLaha, Arindam y Pravat Kumar Kuri. "Interlinked Factor Markets and Allocative Efficiency: Evidence from Rural West Bengal, India". Pakistan Development Review 50, n.º 1 (1 de marzo de 2011): 29–45. http://dx.doi.org/10.30541/v50i1pp.29-45.
Texto completoZemmouchi-Ghomari, Leila. "Linked Data, Towards Realizing the Web of Data". International Journal of Technology Diffusion 6, n.º 4 (octubre de 2015): 20–39. http://dx.doi.org/10.4018/ijtd.2015100102.
Texto completoShekarpour, Saeedeh, Edgard Marx, Axel-Cyrille Ngonga Ngomo y Sören Auer. "SINA: Semantic interpretation of user queries for question answering on interlinked data". Journal of Web Semantics 30 (enero de 2015): 39–51. http://dx.doi.org/10.1016/j.websem.2014.06.002.
Texto completoTesis sobre el tema "Interlinked Data"
Little, Claire. "Machine learning for understanding complex, interlinked social data". Thesis, Manchester Metropolitan University, 2018. http://e-space.mmu.ac.uk/622001/.
Texto completoNguenang, Kapnang Christian. "Essays in Financial Econometrics : Interlinked assets and High-Frequency Data". Thesis, Toulouse 1, 2018. http://www.theses.fr/2018TOU10023/document.
Texto completoInstitutional changes in markets regulation in recent years have enhanced the multiplication of markets and the cross listing of assets simultaneously in many places. The prices for a security on those interrelated markets are strongly linked by arbitrage activities. This is also the case for one security and its derivatives: Cash and futures, CDS and Credit spread, spot and options. In those multiple markets settings, it is interesting for regulators, investors and academia to understand and measure how each market contributes to the dynamic of the common fundamental value. At the same time, improvement in ITC fueled trading activity and generated High frequency data. My thesis develops new frameworks, with respect to the data frequency, to measure the contribution of each market to the formation of prices (Price discovery) and to the formation of volatility (Volatility discovery). In the first chapter, I show that existing metrics of price discovery lead to misleading conclusions when using High-frequency data. Due to uninformative microstructure noises, they confuse speed and noise dimension of information processing. I then propose robust-to-noise metrics, that are good at detecting “which market is fast”, and produce tighten bounds. Using Monte Carlo simulations and Dow Jones stocks traded on NYSE and NASDAQ, I show that the data are in line with my theoretical conclusions. In the second chapter, I propose a new way to define price adjustment by building an Impulse Response measuring the permanent impact of market's innovation and I give its asymptotic distribution. The framework innovates in providing testable results for price discovery measures based on innovation variance. I later present an equilibrium model of different maturities futures markets and show that it supports my metric: As the theory suggests, the measure selects the market with the higher number of participants as dominating the price discovery. An application on some metals of the London Metal Exchange shows that 3-month futures contract dominates the spot and the 15-month in price formation. The third chapter builds a continuous time comprehensive framework for Price discovery measures with High Frequency data, as the literature exists only in a discrete time. It also has advantages on the literature in that it explicitly deals with non-informative microstructure noises and accommodates a stochastic volatility. We derive a measure of price discovery evaluating the permanent impact of a shock on a market’s innovation. Empirics show that it has good properties. In the fourth chapter, I develop a framework to study the contribution to the volatility of common volatility. This allows answering questions such as: Does volatility of futures markets dominate volatility of the Cash market in the formation of permanent volatility? I build a VECM with Autoregressive Stochastic Volatility estimated by MCMC method and Bayesian inference. I show that not only prices are cointegrated, their conditional volatilities also share a permanent factor at the daily and intraday level. I derive measures of market's contribution to Volatility discovery. In the application on metals and EuroStoxx50 futures, I find that for most of the securities, while price discovery happens on the cash market, the volatility discovery happens in the Futures market. Lastly, I build a framework that exploits High frequency data and avoid computational burden of MCMC. I show that Realized Volatilities are driven by a common component and I compute contribution of NYSE and NASDAQ to permanent volatility of some Dow Jones stocks. I obtain that volatility of the volume is the best determinant of volatility discovery, but low figures suggest others important factors
Shekarpour, Saeedeh [Verfasser]. "Semantic Interpretation of User Query for Question Answering on Interlinked Data / Saeedeh Shekarpour". Bonn : Universitäts- und Landesbibliothek Bonn, 2015. http://d-nb.info/1077289251/34.
Texto completoFIGUEROA, MARTINEZ CRISTHIAN NICOLAS. "Recommender Systems based on Linked Data". Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2669963.
Texto completoLibros sobre el tema "Interlinked Data"
Auer, Sören, Volha Bryl y Sebastian Tramp, eds. Linked Open Data -- Creating Knowledge Out of Interlinked Data. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3.
Texto completoAuer, Sören. Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project. Cham: Springer Nature, 2014.
Buscar texto completoLinked Open Data -- Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project. Springer, 2014.
Buscar texto completoCowhey, Peter F. y Jonathan D. Aronson. Data Privacy. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190657932.003.0008.
Texto completoVuorenmaa, T. Lit and Dark Liquidity with Lost Time Data: Interlinked Trading Venues around the Global Financial Crisis. Palgrave Pivot, 2014.
Buscar texto completoLit and Dark Liquidity with Lost Time Data: Interlinked Trading Venues around the Global Financial Crisis. Palgrave Pivot, 2014.
Buscar texto completoVuorenmaa, T. Lit and Dark Liquidity with Lost Time Data: Interlinked Trading Venues Around the Global Financial Crisis. Palgrave Macmillan Limited, 2014.
Buscar texto completoBrughmans, Tom, Anna Collar y Fiona Coward, eds. The Connected Past. Oxford University Press, 2016. http://dx.doi.org/10.1093/oso/9780198748519.001.0001.
Texto completoSommerer, Thomas, Hans Agné, Fariborz Zelli y Bart Bes. Global Legitimacy Crises. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192856326.001.0001.
Texto completoGilbertson, Simon. Music Therapy and Traumatic Brain Injury. Editado por Jane Edwards. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199639755.013.34.
Texto completoCapítulos de libros sobre el tema "Interlinked Data"
van der Waal, Sander, Krzysztof Węcel, Ivan Ermilov, Valentina Janev, Uroš Milošević y Mark Wainwright. "Lifting Open Data Portals to the Data Web". En Linked Open Data -- Creating Knowledge Out of Interlinked Data, 175–95. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_9.
Texto completoEndris, Kemele M., Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal y Sören Auer. "Querying Interlinked Data by Bridging RDF Molecule Templates". En Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX, 1–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-58415-6_1.
Texto completoKalafatelis, Alexandros, Konstantinos Panagos, Anastasios E. Giannopoulos, Sotirios T. Spantideas, Nikolaos C. Kapsalis, Marios Touloupou, Evgenia Kapassa et al. "ISLAND: An Interlinked Semantically-Enriched Blockchain Data Framework". En Economics of Grids, Clouds, Systems, and Services, 207–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92916-9_19.
Texto completoAuer, Sören. "Introduction to LOD2". En Linked Open Data -- Creating Knowledge Out of Interlinked Data, 1–17. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_1.
Texto completoSvátek, Vojtěch, Jindřich Mynarz, Krzysztof Węcel, Jakub Klímek, Tomáš Knap y Martin Nečaský. "Linked Open Data for Public Procurement". En Linked Open Data -- Creating Knowledge Out of Interlinked Data, 196–213. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_10.
Texto completoBoncz, Peter, Orri Erling y Minh-Duc Pham. "Advances in Large-Scale RDF Data Management". En Linked Open Data -- Creating Knowledge Out of Interlinked Data, 21–44. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_2.
Texto completoHellmann, Sebastian, Volha Bryl, Lorenz Bühmann, Milan Dojchinovski, Dimitris Kontokostas, Jens Lehmann, Uroš Milošević et al. "Knowledge Base Creation, Enrichment and Repair". En Linked Open Data -- Creating Knowledge Out of Interlinked Data, 45–69. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_3.
Texto completoBryl, Volha, Christian Bizer, Robert Isele, Mateja Verlic, Soon Gill Hong, Sammy Jang, Mun Yong Yi y Key-Sun Choi. "Interlinking and Knowledge Fusion". En Linked Open Data -- Creating Knowledge Out of Interlinked Data, 70–89. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_4.
Texto completoMader, Christian, Michael Martin y Claus Stadler. "Facilitating the Exploration and Visualization of Linked Data". En Linked Open Data -- Creating Knowledge Out of Interlinked Data, 90–107. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_5.
Texto completoVan Nuffelen, Bert, Valentina Janev, Michael Martin, Vuk Mijovic y Sebastian Tramp. "Supporting the Linked Data Life Cycle Using an Integrated Tool Stack". En Linked Open Data -- Creating Knowledge Out of Interlinked Data, 108–29. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_6.
Texto completoActas de conferencias sobre el tema "Interlinked Data"
Shekarpour, Saeedeh, Axel-Cyrille Ngonga Ngomo y Sören Auer. "Question answering on interlinked data". En the 22nd international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2488388.2488488.
Texto completoAuer, Sören. "Creating knowledge out of interlinked data". En the International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1988688.1988693.
Texto completoLin, Harris T. y Vasant Honavar. "Learning Classifiers from Chains of Multiple Interlinked RDF Data Stores". En 2013 IEEE International Congress on Big Data (BigData Congress). IEEE, 2013. http://dx.doi.org/10.1109/bigdata.congress.2013.22.
Texto completoTaibi, Davide, Giovanni Fulantelli y Marco Arrigo. "EXPLOITING LINKED OPEN DATA FOR SUPPORTING MOBILE LEARNING EXPERIENCES". En eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-134.
Texto completoBarkdull, Lisa y Herbert Willems. "Post Assessment of Ultrasonic Crack Detection Inline Inspection Data". En 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64357.
Texto completoChaudhari, Ashish M., Roshan Suresh Kumar y Daniel Selva. "Supporting Designer Learning and Performance in Design Space Exploration: A Goal-Setting Approach". En ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71257.
Texto completoHeister, Reinhard y Reiner Anderl. "Concept for an Integrated Workflow Planning of Dental Products Based on Federative Data Management". En ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34685.
Texto completoMarshall, Michael y Martin Fingerhut. "Reframing PSMS in the Context of Operational Risk Management and ESG Sustainability". En 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87773.
Texto completoMoore, Jacob P., Christopher B. Williams y Marie C. Paretti. "Using Wikis as a Formative Assessment Tool for Student Engineering Design Teams". En ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48310.
Texto completoLaskar, Sandipan. "Applying Blockchain Technology to Process Safety with Focus on Integrity Management for Oil and Gas Industry". En ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211021-ms.
Texto completoInformes sobre el tema "Interlinked Data"
Woyczynski, Lauren, Christina Misunas y Md Irfan Hossain. Building the Adolescent Indicators and Gender Gaps Dashboard. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1014.
Texto completoLehtimaki, Susanna, Aisling Reidy, Kassim Nishtar, Sara Darehschori, Andrew Painter y Nina Schwalbe. Independent Review and Investigation Mechanisms to Prevent Future Pandemics: A Proposed Way Forward. United Nations University International Institute for Global Health, abril de 2021. http://dx.doi.org/10.37941/rr/2021/1.
Texto completoKimhi, Ayal, Barry Goodwin, Ashok Mishra, Avner Ahituv y Yoav Kislev. The dynamics of off-farm employment, farm size, and farm structure. United States Department of Agriculture, septiembre de 2006. http://dx.doi.org/10.32747/2006.7695877.bard.
Texto completoGlobal Food 50/50: Hungry for gender equality. Global Health 50/50, octubre de 2022. http://dx.doi.org/10.56649/wiqe2012.
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