Gotowe bibliografie tematyczne / Temporal database

Gotowa bibliografia na temat „Temporal database”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 20 lutego 2023

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Artykuły w czasopismach na temat "Temporal database"

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Böhlen, Michael H. "Temporal database system implementations". ACM SIGMOD Record 24, nr 4 (grudzień 1995): 53–60. http://dx.doi.org/10.1145/219713.219758.

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ANDROUTSOPOULOS, ION, GRAEME RITCHIE i PETER THANISCH. "Time, tense and aspect in natural language database interfaces". Natural Language Engineering 4, nr 3 (wrzesień 1998): 229–76. http://dx.doi.org/10.1017/s1351324998001971.

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Most existing Natural Language Database Interfaces (NLDB) were designed to be used with database systems that provide very limited facilities for manipulating time-dependent data, and they do not support adequately temporal linguistic mechanisms (verb tenses, temporal adverbials, temporal subordinate clauses, etc.). The database community is becoming increasingly interested in temporal database systems, which are intended to store and manipulate in a principled manner information not only about the present, but also about the past and future. When interfacing to temporal databases, supporting temporal linguistic mechanisms becomes crucial.We present a framework for constructing Natural Language Interfaces for Temporal Databases (NLTDB), which draws on research in tense and aspect theories, temporal logics and temporal databases. The framework consists of a temporal intermediate representation language, called TOP, an HPSG grammar that maps a wide range of questions involving temporal mechanisms to appropriate TOP expressions, and a provably correct method for translating from TOP to TSQL2, TSQL2 being a recently proposed temporal extension of the SQL database language. This framework was employed to implement a prototype NLTDB.
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Koszela, Jarosław, i Paulina Szczepańczyk-Wysocka. "Concept and assumptions about the temporal graph database". MATEC Web of Conferences 210 (2018): 04017. http://dx.doi.org/10.1051/matecconf/201821004017.

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The article outlines existing solutions in the area of graphs and temporal databases. It provides explanation for why the temporal graph database was created. Furthermore, the article also describes the concept and assumptions about the temporal graph database, including a proposal of two methods for representing temporal data in graph databases. Full write method assumes creating a new database object for each state of being. While incremental method writes only such features and relationships that were subject to change. Regardless of the data write method used, the data may be returned in a historically unordered or ordered manner. The article outlines assumptions for both methods of representing data.
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Kotikov, P. E., A. A. Nechay i V. A. Zatsepin. "Temporal database and query language". Science and Modernity, nr 2 (2014): 60–68. http://dx.doi.org/10.17117/ns.2014.02.060.

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Parisi, Francesco, Amy Sliva i V. S. Subrahmanian. "A temporal database forecasting algebra". International Journal of Approximate Reasoning 54, nr 7 (wrzesień 2013): 827–60. http://dx.doi.org/10.1016/j.ijar.2013.01.010.

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Kung, C. H. "On verification of database temporal constraints". ACM SIGMOD Record 14, nr 4 (maj 1985): 169–79. http://dx.doi.org/10.1145/971699.318911.

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Theodoulidis, Babis, Aziz Ait-Braham, George Andrianopoulos, Jayant Chaudhary, George Karvelis i Simon Sou. "The ORES temporal database management system". ACM SIGMOD Record 23, nr 2 (czerwiec 1994): 511. http://dx.doi.org/10.1145/191843.191967.

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Jensen, C. S., J. Clifford, S. K. Gadia, A. Segev i Richard Thomas Snodgrass. "A glossary of temporal database concepts". ACM SIGMOD Record 21, nr 3 (wrzesień 1992): 35–43. http://dx.doi.org/10.1145/140979.140996.

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Motakis, Iakovos, i Carlo Zaniolo. "Temporal aggregation in active database rules". ACM SIGMOD Record 26, nr 2 (czerwiec 1997): 440–51. http://dx.doi.org/10.1145/253262.253359.

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Kahn, M. G., L. M. Fagan i S. Tu. "Extensions to the Time-Oriented Database Model to Support Temporal Reasoning in Medical Expert Systems". Methods of Information in Medicine 30, nr 01 (1991): 04–14. http://dx.doi.org/10.1055/s-0038-1634816.

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Physicians faced with diagnostic and therapeutic decisions must reason about clinical features that change over time. Database-management systems (DBMS) can increase access to patient data, but most systems are limited in their ability to store and retrieve complex temporal information. The Time-Oriented Databank (TOD) model, the most widely used data model for medical database systems, associates a single time stamp with each observation. The proper analysis of most clinical data requires accounting for multiple concurrent clinical events that may alter the interpretation of the raw data. Most medical DBMSs cannot retrieve patient data indexed by multiple clinical events. We describe two logical extensions to TOD-based databases that solve a set of temporal reasoning problems we encountered in constructing medical expert systems. A key feature of both extensions is that stored data are partitioned into groupings, such as sequential clinical visits, clinical exacerbations, or other abstract events that have clinical decision-making relevance. The temporal network (TNET) is an object-oriented database that extends the temporal reasoning capabilities of ONCOCIN, a medical expert system that provides chemotherapy advice. TNET uses persistent objects to associate observations with intervals of time during which “an event of clinical interest” occurred. A second object-oriented system, called the extended temporal network (ETNET), is both an extension and a simplification of TNET. Like TNET, ETNET uses persistent objects to represent relevant intervals; unlike the first system, however, ETNET contains reasoning methods (rules) that can be executed when an event “begins”, and that are withdrawn when that event “concludes”. TNET and ETNET capture temporal relationships among recorded information that are not represented in TOD-based databases. Although they do not solve all temporal reasoning problems found in medical decision making, these new structures enable patient database systems to encode complex temporal relationships, to store and retrieve patient data based on multiple clinical contexts and, in ETNET, to modify the reasoning methods available to an expert system based on the onset or conclusion of specific clinical events.
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Rozprawy doktorskie na temat "Temporal database"

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Sun, Jimeng. "Analysis of predictive spatio-temporal queries /". View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20SUN.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 62-65). Also available in electronic version. Access restricted to campus users.
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Shou, Yutao Sindy, i 壽玉濤. "Efficient query processing for spatial and temporal databases". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29853655.

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Soo, Michael Dennis 1962. "Constructing a temporal database management system". Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/290685.

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Temporal database management systems provide integrated support for the storage and retrieval of time-varying information. Despite the extensive research which has been performed in this area over the last fifteen years, no commercial products exist and few viable prototypes have been constructed. It is our thesis that through the use of the proper abstractions, it is possible to construct a temporal database management system with robust semantics, without sacrificing performance, and with minimal implementation cost. Our approach parallels the development of relational database management systems, beginning with a theoretically sound abstract model, and then developing the underlying techniques to efficiently implement it. The major theme underlying this research is practicality, in terms of both semantics and implementation. We will show that expressive temporal semantics can be supported while still maintaining reasonable performance, and with relatively small implementation effort. This is made possible, in part, by minimally extending the relational model to support time, thereby allowing the reuse or easy adaptation of well-established relational technology. In particular, we investigate how relational database design, algebras, architectures, and query evaluation can be adapted or extended to the temporal context. Our aim is that software vendors could incorporate these results into existing non-temporal, commercial products with relatively small effort.
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Tao, Yufei. "Indexing and query processing of spatio-temporal data /". View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?COMP%202002%20TAO.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2002.
Includes bibliographical references (leaves 208-215). Also available in electronic version. Access restricted to campus users.
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Garani, Georgia. "A temporal database model using nested relations". Thesis, Birkbeck (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409697.

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Theodoulidis, Charalampos I. "A declarative specification language for temporal database applications". Thesis, University of Manchester, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316676.

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Schleifer, Paul. "A chronicle approach to modelling temporal database objects". Thesis, London South Bank University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245124.

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Brooke, Joseph A. III. "A Web-Enabled Temporal Database Human Resources Application". UNF Digital Commons, 2001. http://digitalcommons.unf.edu/etd/167.

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Despite the inclusion of a variety of time-related or 'temporal' datatypes in the SQL-92 standard, vendors of commercially-available Relational Database Management Systems (RDBMS) have universally elected to not fully comply with the standard. Perhaps even more frustrating is the fact that each vendor has chosen to include a different subset of temporal datatypes than their competitors, with most vendors adding a proprietary twist to their datatypes not even contained within the standard. This lack of conformity has left users of these database products faced with a difficult choice: either avoid temporal functionality within their database applications or develop and manage complex and often convoluted code to insert, maintain, and query this important data. Industry is replete with examples of both choices; not all of which have happy endings. This project demonstrates some of the options available to RDBMS users who choose to employ temporal functionality in their applications. Alternatives are presented using a conceptual human resources application deployed via internet. Data is stored in a commercial RDBMS product. Solutions to temporal storage and query issues are presented.
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Hubler, Patricia Nogueira. "Definição de um gerenciador para o modelo de dados temporal TF-ORM". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2000. http://hdl.handle.net/10183/77763.

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Há alguns anos, a necessidade de armazenar a história das informações e o período no qual as mesmas são válidas ou não no mundo real, está crescendo. As próprias leis vigentes no país fazem com que isto seja uma necessidade quando, por exemplo, criam uma tabela de tempo de validade para o armazenamento de documentos fiscais ou de recursos humanos. Neste âmbito destaca-se a importância do estudo de modelos de dados temporais que gerenciem este tipo de informação. Tais modelos definem a forma como as informações são organizadas, mantidas e recuperadas. A implementação destes modelos, entretanto, é realizada sobre bancos de dados (BD) convencionais, uma vez que ainda não existe um BD totalmente temporal. O mapeamento de um modelo temporal sobre um convencional não impede que sejam satisfeitas todas as necessidades de representação temporal, desde que seja realizado de forma coerente. As diferentes informações temporais que podem ser utilizadas para a representação de tempo são o tempo de transação e o tempo de validade. Quando se deseja uma representação completa da realidade, utilizam-se bancos de dados bitemporais, através dos quais é possível recuperar todas as informações passadas, presentes e futuras. Este trabalho apresenta o mapeamento de um modelo de dados bitemporal (modelo TF-ORM) para um SGBD convencional (Oracle). Este mapeamento compreende, além das informações temporais, todas as características do modelo, dentre as quais: classes e papéis, mensagens, regras, propriedades dinâmicas e estáticas. É apresentada, ainda, a definição de um gerenciador temporal, o qual busca automatizar o que é implementado. Complementando o estudo realizado, são apresentadas sugestões de operações a serem realizadas pelos desenvolvedores de aplicações temporais quando da manutenção das informações. As operações de inserção, atualização e remoção em uma base temporal são analisadas, independente do tipo de BD temporal implementado. Um estudo de caso é apresentado para validar todas as definições realizadas.
The need for storing the information’s history and the period in which they are still valid in the real world has been growing in the last few years. The very existing laws in the country make it necessary when, for instance, a validity temporal table is created for storing business or human resources documents. Therefore, the study of temporal data models which manage this kind of information has become very important. Such models define the way in which the information is organized, kept and recovered. The implementation of these models, though, is carried out over conventional data bases (DB), once there is no a totally temporal DB. The mapping of a temporal model over a conventional one allows all of its requirements to be met, as long as it is made coherently. The different temporal information that can be used for time representation are the transaction time and the validity time. Whenever a complete representation of the reality is wanted, bitemporal databases are used. These bases make it possible to recover all the past information as well as present and future information. This work presents the mapping of a temporal data model (TF-ORM model) for a conventional DBMS (Oracle). Besides the temporal information, this mapping comprehends all the model’s characteristics, such as: classes and roles, messages, rules, dynamic and static properties. It is also presented a definition of a temporal manager which aims at automating what is implemented. In addition to this study, suggestions of operations to be carried out by the developers of temporal applications for the maintenance of the information are presented. The operations of inserting, updating and removing on temporal base are analyzed, apart from the kind of DB implemented. A case study is presented in order to validate all the definitions made.
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Stantic, Bela, i n/a. "Access Methods for Temporal Databases". Griffith University. School of Information and Communication Technology, 2005. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20060906.144815.

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A Temporal database is one that supports some aspect of time distinct from user defined time. Over the last two decades interest in the field of temporal databases has increased significantly, with contributions from many researchers. However, the lack of efficient access methods is perhaps one of the reasons why commercial RDBMS vendors have been reluctant to adopt the advances in temporal database research. Therefore, an obvious research question is: can we develop more robust and more efficient access methods for temporal databases than the existing ones? This thesis attempts to address this question, and the main contributions of this study are summarised as follows: We investigated different representations of 'now' and how the modelling of current time influences the efficiency of accessing 'now relative' temporal data. A new method, called the 'Point' approach, is proposed. Our approach not only elegantly models the current time but also significantly outperforms the existing methods. We proposed a new index structure, called a Virtual Binary tree (VB-tree), based on spatial representation of interval data and a regular triangular decomposition of this space. Further, we described a sound and complete query algorithm. The performance of the algorithm is then evaluated both asymptotically and experimentally with respect to the state-of-the-art in the field. We claim that the VB-tree requires less space and uses fewer disk accesses than the currently best known structure - the RI-tree.
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Książki na temat "Temporal database"

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Li, Lee Mong, i Wang Junmei 1975-, red. Temporal and spatio-temporal data mining. Hershey PA: Idea Group Pub., 2008.

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Temporal data mining. Boca Raton: Taylor & Francis, 2010.

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Böhlen, Michael H., Christian S. Jensen i Michel O. Scholl, red. Spatio-Temporal Database Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48344-6.

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Opher, Etzion, Jajodia Sushil i Sripada Suryanarayana, red. Temporal databases: Research and practice. Berlin: Springer, 1998.

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Hao, Zhongxiao. Shi tai shu ju ku she ji li lun. Bei jing: Ke xue chu ban she, 2009.

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Schäfers, Ludger. Temporal modeling in relational database systems. Hamburg: Kovac, 1991.

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Kevin, Shaw, i Abdelguerfi Mahdi, red. Mining spatio-temporal information systems. Boston: Kluwer Academic Publishers, 2002.

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Date, C. J. Temporal data and the relational model: A detailed investigation into the application of interval and relation theory to the problem of temporal database management. San Diego, CA: Morgan Kaufmann Publishers, 2003.

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Andler, Sten F., i Jörgen Hansson, red. Active, Real-Time, and Temporal Database Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49151-1.

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Koukoudakis, Alexandros. Visualisation decision algorithm for temporal database management system. Manchester: UMIST, 1996.

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Części książek na temat "Temporal database"

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Jensen, Christian S., i Richard T. Snodgrass. "Temporal Database". W Encyclopedia of Database Systems, 1–4. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_395-2.

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Jensen, Christian S., i Richard T. Snodgrass. "Temporal Database". W Encyclopedia of Database Systems, 2957–60. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_395.

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Jensen, Christian S., i Richard T. Snodgrass. "Temporal Database". W Encyclopedia of Database Systems, 3945–49. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_395.

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Xiong, Xiaopeng, Mohamed F. Mokbel i Walid G. Aref. "Spatio-Temporal Database". W Encyclopedia of GIS, 1–2. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_1316-2.

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Xiong, Xiaopeng, Mohamed F. Mokbel i Walid G. Aref. "Spatio-temporal Database". W Encyclopedia of GIS, 1114–15. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1316.

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Bertino, Elisa, Beng Chin Ooi, Ron Sacks-Davis, Kian-Lee Tan, Justin Zobel, Boris Shidlovsky i Barbara Catania. "Temporal Databases". W Indexing Techniques for Advanced Database Systems, 113–49. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6227-6_4.

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Jensen, Christian S., i Richard T. Snodgrass. "Temporal Element". W Encyclopedia of Database Systems, 1–2. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1419-2.

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Jensen, Christian S., i Richard T. Snodgrass. "Temporal Expression". W Encyclopedia of Database Systems, 1. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1420-2.

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Jensen, Christian S., i Richard T. Snodgrass. "Temporal Homogeneity". W Encyclopedia of Database Systems, 1. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1421-2.

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Jensen, Christian S., i Richard T. Snodgrass. "Temporal Projection". W Encyclopedia of Database Systems, 1. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1422-2.

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Streszczenia konferencji na temat "Temporal database"

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Kvet, Marek, i Michal Kvet. "Temporal database management: Temporal registration". W 2017 International Conference on Information and Digital Technologies (IDT). IEEE, 2017. http://dx.doi.org/10.1109/dt.2017.8024301.

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Elmasri, Ramez, Vram Kouramajian i Shian Fernando. "Temporal database modeling". W the second international conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/170088.170429.

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Wang, Sheng-sheng, Da-you Liu, Juan Chen i Hai-yang Jia. "Qualitative Spatio-Temporal Database". W 2006 International Conference on Machine Learning and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icmlc.2006.259132.

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Kvet, Michal, Emil Krsak i Karol Matiasko. "Temporal Database Architecture Enhancements". W 2018 22nd Conference of Open Innovations Association (FRUCT). IEEE, 2018. http://dx.doi.org/10.23919/fruct.2018.8468305.

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Kvet, Michal. "Autonomous Temporal Transaction Database". W 2021 30th Conference of Open Innovations Association (FRUCT). IEEE, 2021. http://dx.doi.org/10.23919/fruct53335.2021.9599977.

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Mahmood, Nadeem, S. M. Aqil Burney, Syed Asim Ali, Kashif Rizwan i Syed Abdul Khaliq Bari. "Fuzzy-temporal database ontology and relational database model". W 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2012. http://dx.doi.org/10.1109/fskd.2012.6233841.

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Jiangfeng, Xu Chunyan, i Liu Guixia. "The study of temporal scheme in temporal database". W 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC). IEEE, 2011. http://dx.doi.org/10.1109/mec.2011.6025750.

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Unnikrishnan, K., i K. V. Pramod. "On implementing temporal coalescing in temporal databases implemented on top of relational database systems". W the International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1523103.1523135.

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Sunderraman, Rajshekhar. "A temporal deductive database model". W the 35th Annual Southeast Regional Conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/2817460.2817533.

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Emrich, Tobias, Hans-Peter Kriegel, Markus Mauder, Matthias Renz, Goce Trajcevski i Andreas Züfle. "Minimal spatio-temporal database repairs". W SIGSPATIAL'13: 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2525314.2525468.

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Raporty organizacyjne na temat "Temporal database"

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Borgwardt, Stefan, Marcel Lippmann i Veronika Thost. Temporal Query Answering w.r.t. DL-Lite-Ontologies. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.195.

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Ontology-based data access (OBDA) generalizes query answering in relational databases. It allows to query a database by using the language of an ontology, abstracting from the actual relations of the database. For ontologies formulated in Description Logics of the DL-Lite family, OBDA can be realized by rewriting the query into a classical first-order query, e.g. an SQL query, by compiling the information of the ontology into the query. The query is then answered using classical database techniques. In this report, we consider a temporal version of OBDA. We propose a temporal query language that combines a linear temporal logic with queries over DL-Litecore-ontologies. This language is well-suited for expressing temporal properties of dynamical systems and is useful in context-aware applications that need to detect specific situations. Using a first-order rewriting approach, we transform our temporal queries into queries over a temporal database. We then present three approaches to answering the resulting queries, all having different advantages and drawbacks.
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Oliver, David V., Roy V. Ladner, Frank P. McCreedy i Ruth A. Wilson. Efficient Storage of Large Volume Spatial and Temporal Point-Data in an Object-Oriented Database. Fort Belvoir, VA: Defense Technical Information Center, maj 2002. http://dx.doi.org/10.21236/ada406876.

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Thost, Veronika, Jan Holste i Özgür Özçep. On Implementing Temporal Query Answering in DL-Lite. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.218.

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Ontology-based data access augments classical query answering over fact bases by adopting the open-world assumption and by including domain knowledge provided by an ontology. We implemented temporal query answering w.r.t. ontologies formulated in the Description Logic DL-Lite. Focusing on temporal conjunctive queries (TCQs), which combine conjunctive queries via the operators of propositional linear temporal logic, we regard three approaches for answering them: an iterative algorithm that considers all data available; a window-based algorithm; and a rewriting approach, which translates the TCQs to be answered into SQL queries. Since the relevant ontological knowledge is already encoded into the latter queries, they can be answered by a standard database system. Our evaluation especially shows that implementations of both the iterative and the window-based algorithm answer TCQs within a few milliseconds, and that the former achieves a constant performance, even if data is growing over time.
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Mayne, Casey, David May i David Biedenharn. Empirical analysis of effects of dike systems on channel morphology and flowlines. Engineer Research and Development Center (U.S.), marzec 2021. http://dx.doi.org/10.21079/11681/39799.

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A phased study of the dike fields within the Vicksburg and Memphis Districts of the US Army Corps of Engineers was conducted to document the channel morphology trends since dike construction on the Lower Mississippi River (LMR). This included the development of the hydrographic survey database and methodology utilized to identify changes in channel geometry in response to dike construction. A subsequent report will provide further refinements to the approach and results of the comprehensive assessment. Recent Mississippi River Geomorphology and Potamology program efforts have employed the database developed by Mr. Steve Cobb to assess the geomorphic changes in 21 dike systems along the LMR. Previous studies using this database have indicated that the dike fields have not caused a loss of channel capacity. Furthermore, these efforts suggested that the trends in the dike fields are closely related to the long-term geomorphic trends along the LMR. Previous efforts using the Cobb database provided considerable insight into the dike effects on the LMR, but they were limited spatially and temporally. In this study, a database and protocols were developed to allow for a more robust assessment of dike field impacts and to extend the spatial and temporal extents of the analysis.
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Gunadhi, H., i A. Segev. Physical design of temporal databases. Office of Scientific and Technical Information (OSTI), czerwiec 1988. http://dx.doi.org/10.2172/7222422.

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Borgwardt, Stefan, i Veronika Thost. Temporal Query Answering in DL-Lite with Negation. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.221.

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Ontology-based query answering augments classical query answering in databases by adopting the open-world assumption and by including domain knowledge provided by an ontology. We investigate temporal query answering w.r.t. ontologies formulated in DL-Lite, a family of description logics that captures the conceptual features of relational databases and was tailored for efficient query answering. We consider a recently proposed temporal query language that combines conjunctive queries with the operators of propositional linear temporal logic (LTL). In particular, we consider negation in the ontology and query language, and study both data and combined complexity of query entailment.
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Borgwardt, Stefan, i Veronika Thost. Temporal Query Answering in EL. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.214.

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Context-aware systems use data about their environment for adaptation at runtime, e.g., for optimization of power consumption or user experience. Ontology-based data access (OBDA) can be used to support the interpretation of the usually large amounts of data. OBDA augments query answering in databases by dropping the closed-world assumption (i.e., the data is not assumed to be complete any more) and by including domain knowledge provided by an ontology. We focus on a recently proposed temporalized query language that allows to combine conjunctive queries with the operators of the well-known propositional temporal logic LTL. In particular, we investigate temporalized OBDA w.r.t. ontologies in the DL EL, which allows for efficient reasoning and has been successfully applied in practice. We study both data and combined complexity of the query entailment problem.
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Baader, Franz, Stefan Borgwardt i Marcel Lippmann. On the Complexity of Temporal Query Answering. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.191.

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Ontology-based data access (OBDA) generalizes query answering in databases towards deduction since (i) the fact base is not assumed to contain complete knowledge (i.e., there is no closed world assumption), and (ii) the interpretation of the predicates occurring in the queries is constrained by axioms of an ontology. OBDA has been investigated in detail for the case where the ontology is expressed by an appropriate Description Logic (DL) and the queries are conjunctive queries. Motivated by situation awareness applications, we investigate an extension of OBDA to the temporal case. As query language we consider an extension of the well-known propositional temporal logic LTL where conjunctive queries can occur in place of propositional variables, and as ontology language we use the prototypical expressive DL ALC. For the resulting instance of temporalized OBDA, we investigate both data complexity and combined complexity of the query entailment problem.
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Ukkusuri, Satish, Lu Ling, Tho V. Le i Wenbo Zhang. Performance of Right-Turn Lane Designs at Intersections. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317277.

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Right-turn lane (RTL) crashes are among the most key contributors to intersection crashes in the US. Different right turn lanes based on their design, traffic volume, and location have varying levels of crash risk. Therefore, engineers and researchers have been looking for alternative ways to improve the safety and operations for right-turn traffic. This study investigates the traffic safety performance of the RTL in Indiana state based on multi-sources, including official crash reports, official database, and field study. To understand the RTL crashes' influencing factors, we introduce a random effect negative binomial model and log-linear model to estimate the impact of influencing factors on the crash frequency and severity and adopt the robustness test to verify the reliability of estimations. In addition to the environmental factors, spatial and temporal factors, intersection, and RTL geometric factors, we propose build environment factors such as the RTL geometrics and intersection characteristics to address the endogeneity issues, which is rarely addressed in the accident-related research literature. Last, we develop a case study with the help of the Indiana Department of Transportation (INDOT). The empirical analyses indicate that RTL crash frequency and severity is mainly influenced by turn radius, traffic control, and other intersection related factors such as right-turn type and speed limit, channelized type, and AADT, acceleration lane and AADT. In particular, the effects of these factors are different among counties and right turn lane roadway types.
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Tidd, Alexander N., Richard A. Ayers, Grant P. Course i Guy R. Pasco. Scottish Inshore Fisheries Integrated Data System (SIFIDS): work package 6 final report development of a pilot relational data resource for the collation and interpretation of inshore fisheries data. Redaktorzy Mark James i Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23452.

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[Extract from Executive Summary] The competition for space from competing sectors in the coastal waters of Scotland has never been greater and thus there is a growing a need for interactive seascape planning tools that encompass all marine activities. Similarly, the need to gather data to inform decision makers, especially in the fishing industry, has become essential to provide advice on the economic impact on fishing fleets both in terms of alternative conservation measures (e.g. effort limitations, temporal and spatial closures) as well as the overlap with other activities, thereby allowing stakeholders to derive a preferred option. The SIFIDS project was conceived to allow the different relevant data sources to be identified and to allow these data to be collated in one place, rather than as isolated data sets with multiple data owners. The online interactive tool developed as part of the project (Work Package 6) brought together relevant data sets and developed data storage facilities and a user interface to allow various types of user to view and interrogate the data. Some of these data sets were obtained as static layers which could sit as background data e.g. substrate type, UK fishing limits; whilst other data came directly from electronic monitoring systems developed as part of the SIFIDS project. The main non-static data source was Work Package 2, which was collecting data from a sample of volunteer inshore fishing vessels (<12m). This included data on location; time; vessel speed; count, time and position of deployment of strings of creels (or as fleets and pots as they are also known respectively); and a count of how many creels were hauled on these strings. The interactive online tool allowed all the above data to be collated in a specially designed database and displayed in near real time on the web-based application.
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