Literatura académica sobre el tema "Linked Open Dynamic Data"
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Artículos de revistas sobre el tema "Linked Open Dynamic Data"
Şah, Melike y Wendy Hall. "Dynamic Linking and Personalization on the Web using Linked Open Data". International Journal on Semantic Web and Information Systems 9, n.º 2 (abril de 2013): 31–61. http://dx.doi.org/10.4018/jswis.2013040102.
Texto completoCorno, Fulvio y Faisal Razzak. "Publishing LO(D)D: Linked Open (Dynamic) Data for Smart Sensing and Measuring Environments". Procedia Computer Science 10 (2012): 381–88. http://dx.doi.org/10.1016/j.procs.2012.06.050.
Texto completoTriperina, Evangelia, Cleo Sgouropoulou, Ioannis Xydas, Olivier Terraz y Georgios Miaoulis. "Creating the Context for Exploiting Linked Open Data in Multidimensional Academic Ranking". International Journal of Recent Contributions from Engineering, Science & IT (iJES) 3, n.º 3 (19 de octubre de 2015): 33. http://dx.doi.org/10.3991/ijes.v3i3.5023.
Texto completoZhu, Yueqin, Wenwen Zhou, Yang Xu, Ji Liu y Yongjie Tan. "Intelligent Learning for Knowledge Graph towards Geological Data". Scientific Programming 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/5072427.
Texto completoThomas, Stacy, Tara Lichtenberg, Kristen Dang, Michael Fitzsimons, Robert L. Grossman, Ritika Kundra, Jessica A. Lavery et al. "Linked Entity Attribute Pair (LEAP): A Harmonization Framework for Data Pooling". JCO Clinical Cancer Informatics, n.º 4 (septiembre de 2020): 691–99. http://dx.doi.org/10.1200/cci.20.00037.
Texto completoHong, Sung Min, Kyoung Nam Ha y Joon-Young Kim. "Dynamics Modeling and Motion Simulation of USV/UUV with Linked Underwater Cable". Journal of Marine Science and Engineering 8, n.º 5 (30 de abril de 2020): 318. http://dx.doi.org/10.3390/jmse8050318.
Texto completoSateli, Bahar y René Witte. "Semantic representation of scientific literature: bringing claims, contributions and named entities onto the Linked Open Data cloud". PeerJ Computer Science 1 (9 de diciembre de 2015): e37. http://dx.doi.org/10.7717/peerj-cs.37.
Texto completoHiranyakorn, Methanee, Saeko Yanaka, Tadashi Satoh, Thunchanok Wilasri, Benchawan Jityuti, Maho Yagi-Utsumi y Koichi Kato. "NMR Characterization of Conformational Interconversions of Lys48-Linked Ubiquitin Chains". International Journal of Molecular Sciences 21, n.º 15 (28 de julio de 2020): 5351. http://dx.doi.org/10.3390/ijms21155351.
Texto completoVoith von Voithenberg, Lena, Carolina Sánchez-Rico, Hyun-Seo Kang, Tobias Madl, Katia Zanier, Anders Barth, Lisa R. Warner, Michael Sattler y Don C. Lamb. "Recognition of the 3′ splice site RNA by the U2AF heterodimer involves a dynamic population shift". Proceedings of the National Academy of Sciences 113, n.º 46 (31 de octubre de 2016): E7169—E7175. http://dx.doi.org/10.1073/pnas.1605873113.
Texto completoEren, A. Murat, Özcan C. Esen, Christopher Quince, Joseph H. Vineis, Hilary G. Morrison, Mitchell L. Sogin y Tom O. Delmont. "Anvi’o: an advanced analysis and visualization platform for ‘omics data". PeerJ 3 (8 de octubre de 2015): e1319. http://dx.doi.org/10.7717/peerj.1319.
Texto completoTesis sobre el tema "Linked Open Dynamic Data"
Jain, Prateek. "Linked Open Data Alignment & Querying". Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1345575500.
Texto completoPfeffer, Magnus y Kai Eckert. "Linked Open Projects". Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-64786.
Texto completoFelix, Juan Manuel. "Esplorando i Linked Open Data con RSLT". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20925/.
Texto completoLe, Xuan Dung. "Webové aplikace s využitím Linked Open Data". Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-198433.
Texto completoSánchez, Adam. "Big Data, Linked Data y Web semántica". Universidad Peruana de Ciencias Aplicadas (UPC), 2016. http://hdl.handle.net/10757/620705.
Texto completoConferencia que aborda aspectos del protocolo Linked Data, temas de Big Data y Web Semantica,
Gu, Chen. "Ontology Alignment Techniques for Linked Open Data Ontologies". Miami University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=miami1386858615.
Texto completoMinier, Thomas. "Web preemption for querying the linked data open". Thesis, Nantes, 2020. http://www.theses.fr/2020NANT4047.
Texto completoFollowing the Linked Open Data principles, data providers have published billions of RDF documents using public SPARQL query services. To ensure these services remains stable and responsive, they enforce quotas on server usage. Queries which exceed these quotas are interrupted and deliver partial results. Such interruption is not an issue if it is possible to resume queries execution afterward. Unfortunately, there is no preemption model for the Web that allows for suspending and resuming SPARQL queries. In this thesis, we propose to tackle the issue of building public SPARQL query servers that allow any data consumer to execute any SPARQL query with complete results. First, we propose a new query execution model called Web Preemption. It allows SPARQL queries to be suspended by the Web server after a fixed time quantum and resumed upon client request. Web preemption is tractable only if its cost in time is negligible compared to the time quantum. Thus, we propose SaGe: a SPARQL query engine that implements Web Preemption with minimal overhead. Experimental results demonstrate that SaGe outperforms existing SPARQL query processing approaches by several orders of magnitude in term of the average total query execution time and the time for first results
Budka, Michal. "Návrh postupu tvorby aplikace pro Linked Open Data". Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193918.
Texto completoPasserini, Serena. "Analisi Empirica delle Distinzioni Fondazionali in Linked Open Data". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18442/.
Texto completoRODRIGUES, LIVIA COUTO RUBACK. "ENRICHING AND ANALYZING SEMANTIC TRAJECTORIES WITH LINKED OPEN DATA". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33109@1.
Texto completoCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Os últimos anos testemunharam o uso crescente de dispositivos que rastreiam objetos móveis: equipamentos com GPS e telefones móveis, veículos ou outros sensores da Internet das Coisas, além de dados de localização de check-ins de redes sociais. Estes dados de mobilidade são representados como trajetórias, e armazenam a sequência de posições de um objeto móvel. Porém, estas sequências representam somente os dados de posição originais, que precisam ser semanticamente enriquecidos para permitir tarefas de análise e apoiar um entendimento profundo sobre o comportamento do movimento. Um outro espaço de dados global sem precedentes tem crescido rapidamente, a Web de Dados, graças à iniciativa de Dados Interligados. Estes dados semânticos ricos e livremente disponíveis fornecem uma nova maneira de enriquecer dados de trajetória. Esta tese apresenta contribuições para os desafios que surgem considerando este cenário. Em primeiro lugar, a tese investiga como dados de trajetória podem se beneficiar da iniciativa de dados interligados, guiando todo o processo de enriquecimento semântico utilizando fontes de dados externas. Em segundo lugar, aborda o tópico de computação de similaridade entre entidades representadas como dados interligados com o objetivo de computar a similaridade entre trajetórias semanticamente enriquecidas. A novidade da abordagem apresentada nesta tese consiste em considerar as características relevantes das entidades como listas ranqueadas. Por último, a tese aborda a computação da similaridade entre trajetórias enriquecidas comparando a similaridade entre todas as entidades representadas como dados interligados que representam as trajetórias enriquecidas.
The last years witnessed a growing number of devices that track moving objects: personal GPS equipped devices and GSM mobile phones, vehicles or other sensors from the Internet of Things but also the location data deriving from the Social Networks check-ins. These mobility data are represented as trajectories, recording the sequence of locations of the moving object. However, these sequences only represent the raw location data and they need to be semantically enriched to be meaningful in the analysis tasks and to support a deep understanding of the movement behavior. Another unprecedented global space that is also growing at a fast pace is the Web of Data, thanks to the emergence of the Linked Data initiative. These freely available semantic rich datasets provide a novel way to enhance trajectory data. This thesis presents a contribution to the many challenges that arise from this scenario. First, it investigates how trajectory data may benefit from the Linked Data Initiative by guiding the whole trajectory enrichment process with the use of external datasets. Then, it addresses the pivotal topic of the similarity computation between Linked Data entities with the final objective of computing the similarity between semantically enriched trajectories. The novelty of our approach is that the thesis considers the relevant entity features as a ranked list. Finally, the thesis targets the computation of the similarity between enriched trajectories by comparing the similarity of the Linked Data entities that represent the enriched trajectories.
Libros sobre el tema "Linked Open Dynamic Data"
Trandabăţ, Diana y Daniela Gîfu, eds. Linguistic Linked Open Data. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32942-0.
Texto completoWęcel, Krzysztof. Big, Open and Linked Data. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07147-8.
Texto completoAuer, 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 completoPablos, Patricia Ordóñez de. Cases on open-linked data and semantic web applications. Hershey: Information Science Reference, 2013.
Buscar texto completoLo stato trasparente: Linked open data e cittadinanza attiva. Pisa: ETS, 2010.
Buscar texto completoAuer, Sören. Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project. Cham: Springer Nature, 2014.
Buscar texto completoBergstrom, A. R. The estimation of open higher order continuous time dynamic models with mixed stock and flow data. [Colchester]: University of Essex, Dept. of Economics, 1986.
Buscar texto completoNowman, K. B. Open higher order continuous time dynamic model with mixed stock and flow data: Some further results. [Colchester]: University of Essex, Dept. of Economics, 1990.
Buscar texto completoStandardization, International Organization for, Canadian General Standards Board y Standards Council of Canada, eds. Liquid flow measurement in open channels: Velocity-area methods, collection and processing of data for determination of errors in measurement. Ottawa, Canada: Canadian General Standards Board, 1991.
Buscar texto completoNowman, K. B. Finite sample properties of the Gaussian estimation of an open higher order continuous time dynamic model with mixed stock and flow data. [Colchester]: University of Essex, Dept. of Economics, 1990.
Buscar texto completoCapítulos de libros sobre el tema "Linked Open Dynamic Data"
Reformat, Marek Z., Ronald R. Yager y Jesse Xi Chen. "Dynamic Analysis of Participatory Learning in Linked Open Data: Certainty and Adaptation". En Information Processing and Management of Uncertainty in Knowledge-Based Systems, 667–77. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40581-0_54.
Texto completoVesyropoulos, Nikolaos, Christos K. Georgiadis y Elias Pimenidis. "An Approach for Web Service Selection and Dynamic Composition Based on Linked Open Data". En Transactions on Computational Collective Intelligence XXX, 54–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99810-7_3.
Texto completoDe Donato, Renato, Martina Garofalo, Delfina Malandrino, Maria Angela Pellegrino, Andrea Petta y Vittorio Scarano. "QueDI: From Knowledge Graph Querying to Data Visualization". En Semantic Systems. In the Era of Knowledge Graphs, 70–86. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59833-4_5.
Texto completoYu, Liyang. "Linked Open Data". En A Developer’s Guide to the Semantic Web, 409–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15970-1_11.
Texto completoSikos, Leslie F. "Linked Open Data". En Mastering Structured Data on the Semantic Web, 59–77. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1049-9_3.
Texto completoBizer, Christian, Maria-Esther Vidal y Hala Skaf-Molli. "Linked Open Data". En Encyclopedia of Database Systems, 1–5. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_80603-2.
Texto completoGottron, Thomas y Steffen Staab. "Linked Open Data". En Encyclopedia of Social Network Analysis and Mining, 1–3. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_111-1.
Texto completoYu, Liyang. "Linked Open Data". En A Developer’s Guide to the Semantic Web, 415–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43796-4_9.
Texto completoGottron, Thomas y Steffen Staab. "Linked Open Data". En Encyclopedia of Social Network Analysis and Mining, 811–13. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_111.
Texto completoGottron, Thomas y Steffen Staab. "Linked Open Data". En Encyclopedia of Social Network Analysis and Mining, 1211–13. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7131-2_111.
Texto completoActas de conferencias sobre el tema "Linked Open Dynamic Data"
Nishioka, Chifumi y Ansgar Scherp. "Temporal Patterns and Periodicity of Entity Dynamics in the Linked Open Data Cloud". En K-CAP 2015: Knowledge Capture Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2815833.2816948.
Texto completoRíos Hilario, Ana B., Tránsito Ferreras Fernández y Diego Martín Campo. "Linked open bibliographic data". En the First International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2536536.2536587.
Texto completoPiccioli, Alessio, Francesca Di Donato, Danilo Giacomi, Romeo Zitarosa y Chiara Aiola. "Linked Open Data Portal". En the Third AIUCD Annual Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2802612.2802642.
Texto completoStaab, Steffen. "Accessing linked open data". En 2015 12th International Symposium on Programming and Systems (ISPS). IEEE, 2015. http://dx.doi.org/10.1109/isps.2015.7244956.
Texto completoAzad, Hiteshwar Kumar, Akshay Deepak y Kumar Abhishek. "Linked Open Data Search Engine". En the Second International Conference. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2905055.2905075.
Texto completoRuback, Livia, Marco Antonio Casanova, Alessandra Raffaetà, Chiara Renso y Vania Vidal. "Enriching Mobility Data with Linked Open Data". En the 20th International Database Engineering & Applications Symposium. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2938503.2938550.
Texto completoBohm, Christoph, Felix Naumann, Ziawasch Abedjan, Dandy Fenz, Toni Grutze, Daniel Hefenbrock, Matthias Pohl y David Sonnabend. "Profiling linked open data with ProLOD". En 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010). IEEE, 2010. http://dx.doi.org/10.1109/icdew.2010.5452762.
Texto completoKozák, Jakub, Martin Nečaský, Jan Dědek, Jakub Klímek y Jaroslav Pokorný. "Linked Open Data for Healthcare Professionals". En International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2539150.2539195.
Texto completoHagedorn, Stefan y Kai-Uwe Sattler. "Discovery querying in linked open data". En the Joint EDBT/ICDT 2013 Workshops. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2457317.2457324.
Texto completoMarden, Julia, Carolyn Li-Madeo, Noreen Whysel y Jeffrey Edelstein. "Linked open data for cultural heritage". En the 31st ACM international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2507065.2507103.
Texto completoInformes sobre el tema "Linked Open Dynamic Data"
Borchmann, Daniel, Felix Distel y Francesco Kriegel. Axiomatization of General Concept Inclusions from Finite Interpretations. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.219.
Texto completoEylander, John, Michael Lewis, Maria Stevens, John Green y Joshua Fairley. An investigation of the feasibility of assimilating COSMOS soil moisture into GeoWATCH. Engineer Research and Development Center (U.S.), septiembre de 2021. http://dx.doi.org/10.21079/11681/41966.
Texto completoJohnson, Sarah, Michael Sinclair, Emily Leonard y Forrest Rosenbower. Development of strategies for monitoring and managing sandscape vegetation, with an assessment of declining vegetation in the Apostle Islands National Lakeshore. National Park Service, abril de 2022. http://dx.doi.org/10.36967/nrr-2293187.
Texto completoJohnson, Sarah, Michael Sinclair, Emily Leonard y Forrest Rosenbower. Development of strategies for monitoring and managing sandscape vegetation, with an assessment of declining vegetation in the Apostle Islands National Lakeshore. National Park Service, abril de 2022. http://dx.doi.org/10.36967/nrr-2293187.
Texto completoNewman-Toker, David E., Susan M. Peterson, Shervin Badihian, Ahmed Hassoon, Najlla Nassery, Donna Parizadeh, Lisa M. Wilson et al. Diagnostic Errors in the Emergency Department: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), diciembre de 2022. http://dx.doi.org/10.23970/ahrqepccer258.
Texto completoMonetary Policy Report - July 2022. Banco de la República, octubre de 2022. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr3-2022.
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