Suchergebnisse - acm: h.: information system/h.2: database management/h.2.1: logical design*

RDFViewS: A Storage Tuning Wizard for RDF Applications

Autoren: Goasdoué, François Karanasos, Konstantinos Leblay, Julien et al.

Weitere Verfasser: Goasdoué, François Karanasos, Konstantinos Leblay, Julien et al.

Quelle: ACM International Conference on Information and Knowledge Management ; https://inria.hal.science/inria-00509125 ; ACM International Conference on Information and Knowledge Management, Oct 2010, Toronto, Canada

Schlagwörter: RDF Data Management, View Selection, Materialized Views, Query Optimization, RDFS, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.4: Systems and Software, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Geographisches Schlagwort: Toronto

Time: Toronto, Canada

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1008.2186; ARXIV: 1008.2186

Verfügbarkeit: https://inria.hal.science/inria-00509125
https://inria.hal.science/inria-00509125v1/document
https://inria.hal.science/inria-00509125v1/file/cikm2010-karanasos.pdf

DynamicSchema: a lightweight persistency framework for context-oriented data management

Autoren: Castro, Sergio González, Sebastián Mens, Kim et al.

Weitere Verfasser: Castro, Sergio González, Sebastián Mens, Kim et al.

Quelle: COP '12 ; https://inria.hal.science/hal-00720348 ; COP '12, ACM, Jun 2012, Beijing, China. pp.5:1--5:6, ⟨10.1145/2307436.2307441⟩

Schlagwörter: ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES, ACM: H.: Information Systems/H.4: INFORMATION SYSTEMS APPLICATIONS, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL]

Geographisches Schlagwort: Beijing, China

Verfügbarkeit: https://inria.hal.science/hal-00720348
https://inria.hal.science/hal-00720348v1/document
https://inria.hal.science/hal-00720348v1/file/2012-cop-castro.pdf
https://doi.org/10.1145/2307436.2307441

Combining a Logical and a Numerical Method for Data Reconciliation

Autoren: Saïs, Fatiha Pernelle, Nathalie Rousset, Marie-Christine et al.

Weitere Verfasser: Saïs, Fatiha Pernelle, Nathalie Rousset, Marie-Christine et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783642006845

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], ACM: H.: Information Systems, 0202 electrical engineering, electronic engineering, information engineering, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, 02 engineering and technology, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.5: Heterogeneous Databases, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Dateibeschreibung: application/pdf

Zugangs-URL: http://membres-liglab.imag.fr/rousset/publis/article-JoDsXII.pdf
https://inria.hal.science/inria-00433007v1
https://hal.inria.fr/hal-00953252
https://rd.springer.com/chapter/10.1007%2F978-3-642-00685-2_3
https://hal.inria.fr/inria-00433007/document
https://link.springer.com/chapter/10.1007%2F978-3-642-00685-2_3
https://dblp.uni-trier.de/db/journals/jods/jods12.html#SaisPR09
https://doi.org/10.1007/978-3-642-00685-2_3

Query-oriented Summarization of RDF Graphs

Autoren: Čebirić, Šejla Goasdoué, François Manolescu, Ioana et al.

Weitere Verfasser: Čebirić, Šejla Goasdoué, François Manolescu, Ioana et al.

Quelle: Data Engineering Meets Semantic Web Workshop (DESWeb) ; https://inria.hal.science/hal-01179484 ; Data Engineering Meets Semantic Web Workshop (DESWeb), Apr 2015, Seoul, South Korea ; http://desweb2015.imis.athena-innovation.gr

Schlagwörter: Semantic Web, summarization, RDF data manipulation, RDF Data Management, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.3: Languages, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]

Geographisches Schlagwort: Seoul, South Korea

Verfügbarkeit: https://inria.hal.science/hal-01179484

Author manuscript, published in 'ACM International Conference on Information and Knowledge Management, Toronto: Canada (2010)' RDFViewS: A Storage Tuning Wizard for RDF Applications ∗

Autoren: François Goasdoué Konstantinos Karanasos Julien Leblay et al.

Weitere Verfasser: François Goasdoué Konstantinos Karanasos Julien Leblay et al.

Quelle: http://hal.inria.fr/docs/00/50/91/25/PDF/cikm2010-karanasos.pdf.

Schlagwörter: Categories and Subject Descriptors, H.3.4 Information Storage And Retrieval, Systems and Software, H.2.1 Database Management, Logical Design General Terms, Algorithms, Design, Performance Keywords, RDF Data Management, View Selection, Materialized Views, Query Optimization, RDFS

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.562

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.562
http://hal.inria.fr/docs/00/50/91/25/PDF/cikm2010-karanasos.pdf

Real-time Aggregation of Wikipedia Data for Visual Analytics

Autoren: Boukhelifa, Nadia Chevalier, Fanny Fekete, Jean-Daniel et al.

Weitere Verfasser: Boukhelifa, Nadia Chevalier, Fanny Fekete, Jean-Daniel et al.

Quelle: Proceedings of Visual Analytics Science and Technology (VAST 2010) ; https://inria.hal.science/hal-00690084 ; Proceedings of Visual Analytics Science and Technology (VAST 2010), Oct 2010, Salt Lake City, United States. pp.147--154, ⟨10.1109/VAST.2010.5652896⟩ ; http://dx.doi.org/10.1109/VAST.2010.5652896

Schlagwörter: Logical Design-Schema and subschema, Online Information Services-Web-based services, System-Query processing, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.5: Online Information Services, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design/H.2.1.2: Schema and subschema, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems/H.2.4.5: Query processing, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]

Geographisches Schlagwort: Salt Lake City, United States

Relation: PRODINRA: 404885

Verfügbarkeit: https://inria.hal.science/hal-00690084
https://inria.hal.science/hal-00690084v1/document
https://inria.hal.science/hal-00690084v1/file/boukhelifa_vast_2010_1.pdf
https://doi.org/10.1109/VAST.2010.5652896

I/O Reference Behavior of Production Database Workloads and the TPC Benchmarks -- An Analysis at the Logical Level.

Autoren: Hsu, Windsor W. Smith, Alan Jay Young, Honesty C.

Quelle: ACM Transactions on Database Systems; Mar2001, Vol. 26 Issue 1, p96-143, 48p

Schlagwörter: ARTIFICIAL intelligence, BENCHMARKING (Management), DATABASE management, ONLINE data processing, DECISION support systems, INFORMATION storage & retrieval systems

Efficient Static Analysis of XML Paths and Types

Autoren: Genevès, Pierre Layaïda, Nabil Schmitt, Alan et al.

Weitere Verfasser: Genevès, Pierre Layaïda, Nabil Schmitt, Alan et al.

Quelle: 2007 ACM SIGPLAN conference on Programming language design and implementation
https://inria.hal.science/inria-00502789
2007 ACM SIGPLAN conference on Programming language design and implementation, Jun 2007, New York, NY, United States. pp.342--351, ⟨10.1145/1250734.1250773⟩

Schlagwörter: Modal logic, satisfiability, type checking, XPath, algorithms, languages, theory, verification, ACM: E.: Data/E.1: DATA STRUCTURES/E.1.6: Trees, ACM: F.: Theory of Computation/F.4: MATHEMATICAL LOGIC AND FORMAL LANGUAGES/F.4.1: Mathematical Logic/F.4.1.5: Modal logic, ACM: F.: Theory of Computation/F.4: MATHEMATICAL LOGIC AND FORMAL LANGUAGES/F.4.3: Formal Languages/F.4.3.3: Decision problems, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.3: Languages/H.2.3.3: Query languages, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL]

Geographisches Schlagwort: New York, NY, United States

Verfügbarkeit: https://inria.hal.science/inria-00502789
https://inria.hal.science/inria-00502789/document
https://inria.hal.science/inria-00502789/file/Geneves2007Efficient-Static-Ana.pdf
https://doi.org/10.1145/1250734.1250773

Distributed XML Design

Autoren: Abiteboul, Serge Gottlob, Georg Manna, Marco et al.

Weitere Verfasser: Abiteboul, Serge Gottlob, Georg Manna, Marco et al.

Quelle: Symposium on Principles of Database Systems (PODS) ; https://hal.inria.fr/inria-00429591 ; Symposium on Principles of Database Systems (PODS), Jun 2009, Providence, United States. ⟨10.1145/1559795.1559833⟩

Schlagwörter: ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.4: Distributed Systems/C.2.4.2: Distributed databases, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design/H.2.1.0: Data models, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design/H.2.1.2: Schema and subschema, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]

Geographisches Schlagwort: Providence, United States

Time: Providence, United States

Relation: info:eu-repo/grantAgreement/EC/FP7/226513/EU/Foundations of Web Data Management/WEBDAM; inria-00429591; https://hal.inria.fr/inria-00429591; https://hal.inria.fr/inria-00429591/document; https://hal.inria.fr/inria-00429591/file/p247-abiteboul.pdf

Verfügbarkeit: https://hal.inria.fr/inria-00429591
https://hal.inria.fr/inria-00429591/document
https://hal.inria.fr/inria-00429591/file/p247-abiteboul.pdf
https://doi.org/10.1145/1559795.1559833

Online Reorganization of Databases.

Autoren: SOCKUT, GARY H. IYER, BALAKRISHNA R.

Quelle: ACM Computing Surveys; Jul2009, Vol. 41 Issue 3, p14.1-14.136, 136p, 5 Diagrams, 2 Charts

Schlagwörter: ONLINE databases, DATABASES, SQL, DATABASE management, DATABASE design, DATABASE searching

Database Design with Common Sense Business Reasoning and Learning.

Autoren: Storey, Veda C. Chiang, Roger H. L. Dey, Debabrata et al.

Quelle: ACM Transactions on Database Systems; Dec98, Vol. 22 Issue 4, p471-512, 42p, 3 Black and White Photographs, 3 Diagrams, 8 Charts, 1 Graph

Schlagwörter: DATABASE design, DATABASE management, SYSTEMS design, ENTITY-relationship modeling, INFORMATION modeling, APPLICATION software

PHYSICAL DESIGN: EQUIVALENCIES IN DATABASE CONVERSION.

Autoren: Gillenson, Mark L. Sibley, Edgar H.

Quelle: Communications of the ACM; Aug1990, Vol. 33 Issue 8, p120-131, 12p, 8 Diagrams

Schlagwörter: DATABASE design, DATABASE management

A Case Study in Tourism Database Logical Design.

Autoren: Jim Chen Corprew, James C.

Quelle: Academic Forum Conference Proceedings; Jun2015, pTAF000006-TAF000006, 1p

Schlagwörter: DATABASE design, RELATIONAL databases, PROGRAMMING languages, HOSPITALITY industry

FOREIGN KEYS DECREASE ADAPTABILITY OF DATABASE DESIGNS.

Autoren: Sibley, Edgar H. Wilmot, Richard B.

Quelle: Communications of the ACM; Dec1984, Vol. 27 Issue 12, p1237-1243, 7p, 12 Diagrams

Schlagwörter: DATABASE design, DATABASE management, SYSTEMS design, ELECTRONIC data processing, DATABASES, INFORMATION science

A Unifying Approach to the Design of a Secure Database Operating System.

Autoren: Spooner, David L. Gudes, Ehud

Quelle: IEEE Transactions on Software Engineering; May84, Vol. 10 Issue 3, p310-319, 10p, 2 Color Photographs, 2 Diagrams

Schlagwörter: DATABASE management, COMPUTER operating systems, DATA protection, COMPUTER interfaces, DATABASE design, COMPUTER security

Computer-Aided Analysis and Design of Information Systems.

Autoren: Nunamaker Jr., J.F. Konsynski Jr., Benn R. Ho, Thomas et al.

Quelle: Communications of the ACM; Dec1976, Vol. 19 Issue 12, p674-687, 14p, 8 Diagrams, 1 Chart

Schlagwörter: COMPUTER-aided design, INFORMATION resources management

1. American Heart Association. (2021). Heart disease and stroke statistics—2021 update. Circulation, 143(8), e254-e743. 2. Rahman, M., Al Amin, M., Hasan, R., Hossain, S. T., Rahman, M. H., & Rashed, R. A. M. (2025). A Predictive AI Framework for Cardiovascular Disease Screening in the US: Integrating EHR Data with Machine and Deep Learning Models. British Journal of Nursing Studies, 5(2), 40-48. 3. ZakirHossain, M., Khan, M. M., Thapa, S., Uddin, R., Meem, E. J., Niloy, S. K., ... & Bhavani, G. D. (2025, February). Advanced Deep Learning Techniques for Precision Diagnosis of Tea Leaf Diseases. In 2025 IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA) (pp. 1-6). IEEE. 4. Chen, T., & Guestrin, C. (2016). XGBoost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 785-794). ACM. 5. Damen, J. A., Hooft, L., Schuit, E., Debray, T. P., Collins, G. S., Tzoulaki, I., Lassale, C. M., Siontis, G. C., Chiocchia, V., Roberts, C., Schlüssel, M. M., Gerry, S., Black, J. A., Heus, P., van der Schouw, Y. T., Peelen, L. M., & Moons, K. G. (2016). Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ, 353, i2416. 6. Framingham Heart Study. (1948). Framingham Heart Study cohort research data. National Heart, Lung, and Blood Institute. 7. Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3, 160035. 8. Krittanawong, C., Zhang, H., Wang, Z., Aydar, M., & Kitai, T. (2017). Artificial intelligence in precision cardiovascular medicine. Journal of the American College of Cardiology, 69(21), 2657-2664. 9. Lundberg, S. M., & Lee, S. I. (2017). A unified approach to interpreting model predictions. In Advances in Neural Information Processing Systems 30 (NIPS 2017) (pp. 4765-4774). 10. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 2825–2830. 11. Shameer, K., Johnson, K. W., Glicksberg, B. S., Dudley, J. T., & Sengupta, P. P. (2018). Machine learning in cardiovascular medicine: are we there yet? Heart, 104(14), 1156-1164. 12. Steyerberg, E. W., Vergouwe, Y., & van Calster, B. (2019). Towards better clinical prediction models: seven steps for development and an ABCD for validation. European Heart Journal, 40(15), 1255–1264. 13. Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., Liu, B., Matthews, P., Ong, G., Pell, J., Silman, A., Young, A., Sprosen, T., Peakman, T., & Collins, R. (2015). UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLOS Medicine, 12(3), e1001779. 14. Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLOS ONE, 12(4), e0174944. 15. World Health Organization. (2021). Cardiovascular diseases (CVDs). Retrieved from https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) 16. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., ... Zheng, X. (2016). TensorFlow: A system for large-scale machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16) (pp. 265–283). 17. Chollet, F. (2015). Keras (Version 2.4.0) [Computer software]. https://github.com/fchollet/keras

Autoren: Okunola, Abiodun

RDF Analytics: Lenses over Semantic Graphs

Autoren: Colazzo, Dario Goasdoué, François Manolescu, Ioana et al.

Weitere Verfasser: Colazzo, Dario Goasdoué, François Manolescu, Ioana et al.

Quelle: 23rd International World Wide Web Conference
https://inria.hal.science/hal-00960609
23rd International World Wide Web Conference, Apr 2014, Seoul, South Korea. ⟨10.1145/2566486.2567982⟩

Schlagwörter: RDF, data warehouse, OLAP, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.7: Database Administration/H.2.7.1: Data warehouse and repository, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]

Geographisches Schlagwort: Seoul, South Korea

Verfügbarkeit: https://inria.hal.science/hal-00960609
https://inria.hal.science/hal-00960609/document
https://inria.hal.science/hal-00960609/file/paper.pdf
https://doi.org/10.1145/2566486.2567982

Self-tuning Database Systems: A Systematic Literature Review of Automatic Database Schema Design and Tuning.

Autoren: Mozaffari, Maryam Dignös, Anton Gamper, Johann et al.

Quelle: ACM Computing Surveys; Nov2024, Vol. 56 Issue 11, p1-37, 37p

Schlagwörter: ARTIFICIAL intelligence, DATABASE management, DATABASE design, DATABASES, MODELING languages (Computer science), KNAPSACK problems, EVOLUTIONARY algorithms

The Role of Domain Ontologies in Database Design: An Ontology Management and Conceptual Modeling Environment.

Autoren: Sugumaran, Vijayan Storey, Veda C.

Quelle: ACM Transactions on Database Systems; Sep2006, Vol. 31 Issue 3, p1064-1094, 31p

Schlagwörter: DATABASE design, ONTOLOGY, SYSTEMS design, DATABASE management, ELECTRONIC information resources, ENTITY-relationship modeling, INFORMATION modeling