Добірка наукової літератури з теми "Interlinked Data"
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Статті в журналах з теми "Interlinked Data"
Auer, Sören, and Jens Lehmann. "Creating knowledge out of interlinked data." Semantic Web 1, no. 1,2 (2010): 97–104. http://dx.doi.org/10.3233/sw-2010-0019.
Повний текст джерелаOvermeyer, L., J. Dreyer, and D. Altmann. "Data mining based configuration of cyclically interlinked production systems." CIRP Annals 59, no. 1 (2010): 493–96. http://dx.doi.org/10.1016/j.cirp.2010.03.081.
Повний текст джерелаNishanbaev, Ikrom, Erik Champion, and David A. McMeekin. "A Comparative Evaluation of Geospatial Semantic Web Frameworks for Cultural Heritage." Heritage 3, no. 3 (August 12, 2020): 875–90. http://dx.doi.org/10.3390/heritage3030048.
Повний текст джерелаRiekhof, Marie-Catherine. "The insurance premium in the interest rates of interlinked loans in a small-scale fishery." Environment and Development Economics 24, no. 1 (August 30, 2018): 87–112. http://dx.doi.org/10.1017/s1355770x18000311.
Повний текст джерелаLI, YUNJIA, MIKE WALD, and GARY WILLS. "APPLYING LINKED DATA IN MULTIMEDIA ANNOTATIONS." International Journal of Semantic Computing 06, no. 03 (September 2012): 289–313. http://dx.doi.org/10.1142/s1793351x12400090.
Повний текст джерелаSCHLICHT, ANNE, and HEINER STUCKENSCHMIDT. "PEER-TO-PEER REASONING FOR INTERLINKED ONTOLOGIES." International Journal of Semantic Computing 04, no. 01 (March 2010): 27–58. http://dx.doi.org/10.1142/s1793351x10000948.
Повний текст джерелаPassant, Alexandre, Matthias Samwald, John G. Breslin, and Stefan Decker. "Federating Distributed Social Data to Build an Interlinked Online Information Society." IEEE Intelligent Systems 24, no. 6 (November 2009): 44–48. http://dx.doi.org/10.1109/mis.2009.113.
Повний текст джерелаLaha, Arindam, and Pravat Kumar Kuri. "Interlinked Factor Markets and Allocative Efficiency: Evidence from Rural West Bengal, India." Pakistan Development Review 50, no. 1 (March 1, 2011): 29–45. http://dx.doi.org/10.30541/v50i1pp.29-45.
Повний текст джерелаZemmouchi-Ghomari, Leila. "Linked Data, Towards Realizing the Web of Data." International Journal of Technology Diffusion 6, no. 4 (October 2015): 20–39. http://dx.doi.org/10.4018/ijtd.2015100102.
Повний текст джерелаShekarpour, Saeedeh, Edgard Marx, Axel-Cyrille Ngonga Ngomo, and Sören Auer. "SINA: Semantic interpretation of user queries for question answering on interlinked data." Journal of Web Semantics 30 (January 2015): 39–51. http://dx.doi.org/10.1016/j.websem.2014.06.002.
Повний текст джерелаДисертації з теми "Interlinked Data"
Little, Claire. "Machine learning for understanding complex, interlinked social data." Thesis, Manchester Metropolitan University, 2018. http://e-space.mmu.ac.uk/622001/.
Повний текст джерелаNguenang, Kapnang Christian. "Essays in Financial Econometrics : Interlinked assets and High-Frequency Data." Thesis, Toulouse 1, 2018. http://www.theses.fr/2018TOU10023/document.
Повний текст джерелаInstitutional 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.
Повний текст джерелаFIGUEROA, MARTINEZ CRISTHIAN NICOLAS. "Recommender Systems based on Linked Data." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2669963.
Повний текст джерелаКниги з теми "Interlinked Data"
Auer, Sören, Volha Bryl, and 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.
Повний текст джерелаAuer, Sören. Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project. Cham: Springer Nature, 2014.
Знайти повний текст джерелаLinked Open Data -- Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project. Springer, 2014.
Знайти повний текст джерелаCowhey, Peter F., and Jonathan D. Aronson. Data Privacy. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190657932.003.0008.
Повний текст джерелаVuorenmaa, T. Lit and Dark Liquidity with Lost Time Data: Interlinked Trading Venues around the Global Financial Crisis. Palgrave Pivot, 2014.
Знайти повний текст джерелаLit and Dark Liquidity with Lost Time Data: Interlinked Trading Venues around the Global Financial Crisis. Palgrave Pivot, 2014.
Знайти повний текст джерелаVuorenmaa, T. Lit and Dark Liquidity with Lost Time Data: Interlinked Trading Venues Around the Global Financial Crisis. Palgrave Macmillan Limited, 2014.
Знайти повний текст джерелаBrughmans, Tom, Anna Collar, and Fiona Coward, eds. The Connected Past. Oxford University Press, 2016. http://dx.doi.org/10.1093/oso/9780198748519.001.0001.
Повний текст джерелаSommerer, Thomas, Hans Agné, Fariborz Zelli, and Bart Bes. Global Legitimacy Crises. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192856326.001.0001.
Повний текст джерелаGilbertson, Simon. Music Therapy and Traumatic Brain Injury. Edited by Jane Edwards. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199639755.013.34.
Повний текст джерелаЧастини книг з теми "Interlinked Data"
van der Waal, Sander, Krzysztof Węcel, Ivan Ermilov, Valentina Janev, Uroš Milošević, and Mark Wainwright. "Lifting Open Data Portals to the Data Web." In 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.
Повний текст джерелаEndris, Kemele M., Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, and Sören Auer. "Querying Interlinked Data by Bridging RDF Molecule Templates." In 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.
Повний текст джерелаKalafatelis, 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." In 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.
Повний текст джерелаAuer, Sören. "Introduction to LOD2." In 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.
Повний текст джерелаSvátek, Vojtěch, Jindřich Mynarz, Krzysztof Węcel, Jakub Klímek, Tomáš Knap, and Martin Nečaský. "Linked Open Data for Public Procurement." In 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.
Повний текст джерелаBoncz, Peter, Orri Erling, and Minh-Duc Pham. "Advances in Large-Scale RDF Data Management." In 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.
Повний текст джерелаHellmann, Sebastian, Volha Bryl, Lorenz Bühmann, Milan Dojchinovski, Dimitris Kontokostas, Jens Lehmann, Uroš Milošević, et al. "Knowledge Base Creation, Enrichment and Repair." In 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.
Повний текст джерелаBryl, Volha, Christian Bizer, Robert Isele, Mateja Verlic, Soon Gill Hong, Sammy Jang, Mun Yong Yi, and Key-Sun Choi. "Interlinking and Knowledge Fusion." In 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.
Повний текст джерелаMader, Christian, Michael Martin, and Claus Stadler. "Facilitating the Exploration and Visualization of Linked Data." In 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.
Повний текст джерелаVan Nuffelen, Bert, Valentina Janev, Michael Martin, Vuk Mijovic, and Sebastian Tramp. "Supporting the Linked Data Life Cycle Using an Integrated Tool Stack." In 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.
Повний текст джерелаТези доповідей конференцій з теми "Interlinked Data"
Shekarpour, Saeedeh, Axel-Cyrille Ngonga Ngomo, and Sören Auer. "Question answering on interlinked data." In the 22nd international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2488388.2488488.
Повний текст джерелаAuer, Sören. "Creating knowledge out of interlinked data." In the International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1988688.1988693.
Повний текст джерелаLin, Harris T., and Vasant Honavar. "Learning Classifiers from Chains of Multiple Interlinked RDF Data Stores." In 2013 IEEE International Congress on Big Data (BigData Congress). IEEE, 2013. http://dx.doi.org/10.1109/bigdata.congress.2013.22.
Повний текст джерелаTaibi, Davide, Giovanni Fulantelli, and Marco Arrigo. "EXPLOITING LINKED OPEN DATA FOR SUPPORTING MOBILE LEARNING EXPERIENCES." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-134.
Повний текст джерелаBarkdull, Lisa, and Herbert Willems. "Post Assessment of Ultrasonic Crack Detection Inline Inspection Data." In 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64357.
Повний текст джерелаChaudhari, Ashish M., Roshan Suresh Kumar, and Daniel Selva. "Supporting Designer Learning and Performance in Design Space Exploration: A Goal-Setting Approach." In 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.
Повний текст джерелаHeister, Reinhard, and Reiner Anderl. "Concept for an Integrated Workflow Planning of Dental Products Based on Federative Data Management." In 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.
Повний текст джерелаMarshall, Michael, and Martin Fingerhut. "Reframing PSMS in the Context of Operational Risk Management and ESG Sustainability." In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87773.
Повний текст джерелаMoore, Jacob P., Christopher B. Williams, and Marie C. Paretti. "Using Wikis as a Formative Assessment Tool for Student Engineering Design Teams." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48310.
Повний текст джерелаLaskar, Sandipan. "Applying Blockchain Technology to Process Safety with Focus on Integrity Management for Oil and Gas Industry." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211021-ms.
Повний текст джерелаЗвіти організацій з теми "Interlinked Data"
Woyczynski, Lauren, Christina Misunas, and Md Irfan Hossain. Building the Adolescent Indicators and Gender Gaps Dashboard. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1014.
Повний текст джерелаLehtimaki, Susanna, Aisling Reidy, Kassim Nishtar, Sara Darehschori, Andrew Painter, and Nina Schwalbe. Independent Review and Investigation Mechanisms to Prevent Future Pandemics: A Proposed Way Forward. United Nations University International Institute for Global Health, April 2021. http://dx.doi.org/10.37941/rr/2021/1.
Повний текст джерелаKimhi, Ayal, Barry Goodwin, Ashok Mishra, Avner Ahituv, and Yoav Kislev. The dynamics of off-farm employment, farm size, and farm structure. United States Department of Agriculture, September 2006. http://dx.doi.org/10.32747/2006.7695877.bard.
Повний текст джерелаGlobal Food 50/50: Hungry for gender equality. Global Health 50/50, October 2022. http://dx.doi.org/10.56649/wiqe2012.
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