Gotowe bibliografie tematyczne / Data Format

Gotowa bibliografia na temat „Data Format”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 20 lutego 2023

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Artykuły w czasopismach na temat "Data Format"

John Doyle, D. "Portable data format". Canadian Journal of Anesthesia/Journal canadien d'anesthésie 47, nr 5 (maj 2000): 475–76. http://dx.doi.org/10.1007/bf03018984.

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Gröhl, Janek, Lina Hacker, Ben T. Cox, Kris K. Dreher, Stefan Morscher, Avotra Rakotondrainibe, François Varray, Lawrence C. M. Yip, William C. Vogt i Sarah E. Bohndiek. "The IPASC data format: A consensus data format for photoacoustic imaging". Photoacoustics 26 (czerwiec 2022): 100339. http://dx.doi.org/10.1016/j.pacs.2022.100339.

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Singh, Shashi Pal, Ajai Kumar, Rachna Awasthi, Neetu Yadav i Shikha Jain. "Intelligent Bilingual Data Extraction and Rebuilding Using Data Mining for Big Data". Journal of Computational and Theoretical Nanoscience 17, nr 1 (1.01.2020): 513–18. http://dx.doi.org/10.1166/jctn.2020.8699.

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In today’s World there exists various source of data in various formats (file formats), different structure, different types and etc. which is a hug collection of unstructured over the internet or social media. This gives rise to categorization of data as unstructured, semi structured and structured data. Data that exist in irregular manner without any particular schema are referred as unstructured data which is very difficult to process as it consists of irregularities and ambiguities. So, we are focused on Intelligent Processing Unit which converts unstructured big data into intelligent meaningful information. Intelligent text extraction is a technique that automatically identifies and extracts text from file format. The system consists of different stages which include the pre-processing, keyphase extraction techniques and transformation for the text extraction and retrieve structured data from unstructured data. The system consists multiple method/approach give better result. We are currently working in various file formats and converting the file format into DOCX which will come in the form of the un-structure Form, and then we will obtain that file in the structure form with the help of intelligent Pre-processing. The pre-process stages that triggers the unstructured data/corpus into structured data converting into meaning full. The Initial stage is the system remove the stop word, unwanted symbols noisy data and line spacing. The second stage is Data Extraction from various sources of file or types of files into proper format plain text. The then in third stage we transform the data or information from one format to another for the user to understand the data. The final step is rebuilding the file in its original format maintaining tag of the files. The large size files are divided into sub small size file to executed the parallel processing algorithms for fast processing of larger files and data. Parallel processing is a very important concept for text extraction and with its help; the big file breaks in a small file and improves the result. Extraction of data is done in Bilingual language, and represent the most relevant information contained in the document. Key-phase extraction is an important problem of data mining, Knowledge retrieval and natural speech processing. Keyword Extraction technique has been used to abstract keywords that exclusively recognize a document. Rebuilding is an important part of this project and we will use the entire concept in that file format and in the last, we need the same format which we have done in that file. This concept is being widely used but not much work of the work has been done in the area of developing many functionalities under one tool, so this makes us feel the requirement of such a tool which can easily and efficiently convert unstructured files into structured one.

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Könnecke, Mark, Frederick A. Akeroyd, Herbert J. Bernstein, Aaron S. Brewster, Stuart I. Campbell, Björn Clausen, Stephen Cottrell i in. "The NeXus data format". Journal of Applied Crystallography 48, nr 1 (30.01.2015): 301–5. http://dx.doi.org/10.1107/s1600576714027575.

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NeXus is an effort by an international group of scientists to define a common data exchange and archival format for neutron, X-ray and muon experiments. NeXus is built on top of the scientific data format HDF5 and adds domain-specific rules for organizing data within HDF5 files, in addition to a dictionary of well defined domain-specific field names. The NeXus data format has two purposes. First, it defines a format that can serve as a container for all relevant data associated with a beamline. This is a very important use case. Second, it defines standards in the form of application definitions for the exchange of data between applications. NeXus provides structures for raw experimental data as well as for processed data.

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Tardy, Randall D., Steve C. Brown, Mo Harmon i Richard W. Bradshaw. "Engineering and Survey-Exchange Standard Engineering Data Format: Standard Engineering Data Format". Transportation Research Record: Journal of the Transportation Research Board 1675, nr 1 (styczeń 1999): 75–83. http://dx.doi.org/10.3141/1675-10.

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Kralev, Velin, Radoslava Kraleva i Petia Koprinkova-Hristova. "Data modelling and data processing generated by human eye movements". International Journal of Electrical and Computer Engineering (IJECE) 11, nr 5 (1.10.2021): 4345. http://dx.doi.org/10.11591/ijece.v11i5.pp4345-4352.

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Data modeling and data processing are important activities in any scientific research. This research focuses on the modeling of data and processing of data generated by a saccadometer. The approach used is based on the relational data model, but the processing and storage of the data is done with client datasets. The experiments were performed with 26 randomly selected files from a total of 264 experimental sessions. The data from each experimental session was stored in three different formats, respectively text, binary and extensible markup language (XML) based. The results showed that the text format and the binary format were the most compact. Several actions related to data processing were analyzed. Based on the results obtained, it was found that the two fastest actions are respectively loading data from a binary file and storing data into a binary file. In contrast, the two slowest actions were storing the data in XML format and loading the data from a text file, respectively. Also, one of the time-consuming operations turned out to be the conversion of data from text format to binary format. Moreover, the time required to perform this action does not depend in proportion on the number of records processed.

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Kissler-Patig, M., Y. Copin, P. Ferruit, A. Pécontal-Rousset i M. M. Roth. "The Euro3D data format: A common FITS data format for integral field spectrographs". Astronomische Nachrichten 325, nr 2 (luty 2004): 159–62. http://dx.doi.org/10.1002/asna.200310200.

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De Grande, Pablo. "El formato Redatam / The Redatam format". Estudios Demográficos y Urbanos 31, nr 3 (1.09.2016): 811. http://dx.doi.org/10.24201/edu.v31i3.15.

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El paquete estadístico Redatam es un software desarrollado por la CEPAL y utilizado ampliamente en los países de América para la difusión de estadísticas censales. Aunque es de uso gratuito, su código no es abierto y la estructura del formato utilizado para alojar la información no es pública. En este artículo se presentan resultados de un trabajo de investigación sobre la estructura de datos de esta herramienta. Entre ellos se destacan: a) una especificación preliminar del formato Redatam, b) la publicación de una herramienta para la exportación de bases de datos Redatam y c) la evidencia respecto de que, contrariando lo establecido en la documentación técnica, el software no implementa estrategias de compresión y de encriptación de los microdatos por él almacenados.AbstractThe Redatam statistical package is a software package developed by ECLAC and widely used in countries of America for the dissemination of census statistics. Although it is free to use, it is licensed as proprietary software (not open source) and stores its data in a non-public format. This article introduces research results describing the data structure used by this software. They include: a) a preliminary specification of the Redatam format, b) a tool for accessing and exporting its databases, and c) the evidence that –contrary to what the technical documentation states– Redatam does not implement strategies for compression and encryption of the microdata it stores.

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Bennett, Brett. "A computer program to convert SEG-2 data to SEG-Y". GEOPHYSICS 55, nr 9 (wrzesień 1990): 1272–84. http://dx.doi.org/10.1190/1.1442943.

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Recent introduction of the SEG-2 data format to the geophysical community creates compatibility problems with existing seismic data formats. Presented here is a computer program (SEG2SEGY.C) that converts seismic data from SEG-2 format to SEG-Y format. The discussion of the program architecture assumes the reader has a working knowledge of SEG-2, SEG-Y, and C programming language.

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Plase, Daiga, Laila Niedrite i Romans Taranovs. "A Comparison of HDFS Compact Data Formats: Avro Versus Parquet". Mokslas - Lietuvos ateitis 9, nr 3 (4.07.2017): 267–76. http://dx.doi.org/10.3846/mla.2017.1033.

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In this paper, file formats like Avro and Parquet are compared with text formats to evaluate the performance of the data queries. Different data query patterns have been evaluated. Cloudera’s open-source Apache Hadoop distribution CDH 5.4 has been chosen for the experiments presented in this article. The results show that compact data formats (Avro and Parquet) take up less storage space when compared with plain text data formats because of binary data format and compression advantage. Furthermore, data queries from the column based data format Parquet are faster when compared with text data formats and Avro.

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Rozprawy doktorskie na temat "Data Format"

Mills, H. L., i K. D. Turver. "24-BIT FLIGHT TEST DATA RECORDING FORMAT". International Foundation for Telemetering, 1991. http://hdl.handle.net/10150/612937.

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International Telemetering Conference Proceedings / November 04-07, 1991 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Boeing Commercial Airplane Group’s Flight Test Engineering organization is developing a new test data recording format to be used on the new model 777 airplane. ARINC 429, ARINC 629 and IRIG PCM data will be formatted for recording test data. The need to support a variety of data recorders, and three types of data, mandate the development of a new recording format. The format Flight Test chose is a variation of IRIG Standard 106-86, Chapter 8. The data from each channel is treated as a data packet, including time and channel ID, and then multiplexed into 24 bits. This allows a time accuracy of 10 microseconds and a minimum latency caused by multiplexing.

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Meyer, David, Friedrich Leisch, Torsten Hothorn i Kurt Hornik. "StatDataML. An XML format for statistical data". SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2002. http://epub.wu.ac.at/540/1/document.pdf.

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In order to circumvent common difficulties in exchanging statistical data between heterogeneous applications (format incompatibilities, technocentric data representation), we introduce an XML-based markup language for statistical data, called StatDataML. After comparing StatDataML to other data concepts, we detail the design which borrows from the language S, such that data objects are basically organized as recursive and non-recursive structures, and may also be supplemented with meta-information.
Series: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"

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Ilg, Markus. "Digital processing of map data in raster format /". Zürich : Geographisches Institut Eidgenössische Technische Hochschule, 1986. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=7973.

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Kupferschmidt, Benjamin, i Eric Pesciotta. "Automatic Format Generation Techniques for Network Data Acquisition Systems". International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/606089.

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ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada
Configuring a modern, high-performance data acquisition system is typically a very timeconsuming and complex process. Any enhancement to the data acquisition setup software that can reduce the amount of time needed to configure the system is extremely useful. Automatic format generation is one of the most useful enhancements to a data acquisition setup application. By using Automatic Format Generation, an instrumentation engineer can significantly reduce the amount of time that is spent configuring the system while simultaneously gaining much greater flexibility in creating sampling formats. This paper discusses several techniques that can be used to generate sampling formats automatically while making highly efficient use of the system's bandwidth. This allows the user to obtain most of the benefits of a hand-tuned, manually created format without spending excessive time creating it. One of the primary techniques that this paper discusses is an enhancement to the commonly used power-of-two rule, for selecting sampling rates. This allows the system to create formats that use a wider variety of rates. The system is also able to handle groups of related measurements that must follow each other sequentially in the sampling format. This paper will also cover a packet based formatting scheme that organizes measurements based on common sampling rates. Each packet contains a set of measurements that are sampled at a particular rate. A key benefit of using an automatic format generation system with this format is the optimization of sampling rates that are used to achieve the best possible match for each measurement's desired sampling rate.

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Peart, David E., i Jim Talbert. "CONVERTING ASYNCHRONOUS DATA INTO A STANDARD IRIG TELEMETRY FORMAT". International Foundation for Telemetering, 1997. http://hdl.handle.net/10150/609679.

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International Telemetering Conference Proceedings / October 27-30, 1997 / Riviera Hotel and Convention Center, Las Vegas, Nevada
In recent years we have seen an increase in the use of MIL-STD-1553 buses and other asynchronous data sources used in new missile and launcher designs. The application of multiplexed asynchronous buses in missiles and launchers is very common today. With increasing application of asynchronous data sources into very complex systems the need to acquire, analyze, and present one hundred percent of the bus traffic in real time or near real time has become especially important during testing and diagnostic operations. This paper discusses ways of converting asynchronous data, including MIL-STD-1553, into a telemetry format that is suitable for encryption, telemetering, recording, and presenting with Inter Range Instrumentation Group (IRIG) compatible off-the-shelf hardware. The importance of these designs is to provide the capability to conserve data bandwidth and to maximize the use of existing hardware. In addition, this paper will discuss a unique decode and time tagging design that conserves data storage when compared to the methods in IRIG Standard 106-96 and still maintains a very accurate time tag.

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Graul, Michael, Ronald Fernandes, John L. Hamilton, Charles H. Jones i Jon Morgan. "ENHANCEMENTS TO THE DATA DISPLAY MARKUP LANGUAGE". International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604103.

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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California
This paper presents the description of the updated Data Display Markup Language (DDML), a neutral format for data display configurations. The development of DDML is motivated by the fact that in joint service program systems, there is a critical need for common data displays to support distributed T&E missions, irrespective of the test location, data acquisition system, and display system. DDML enables standard data displays to be specified for any given system under test, irrespective of the display vendor or system in which they will be implemented. The version 3.0 of DDML represents a more mature language than the version 1.0 presented at the 2003 ITC. The updated version has been validated for completeness and robustness by developing translators between DDML and numerous vendor formats. The DDML schema has been presented to the Range Commander’s Council (RCC) Data Multiplex Committee for consideration for inclusion in the IRIG 106 standard. The DDML model will be described in terms of both the XML schema and the UML model, and various examples of DDML models will be presented. The intent of this paper is to solicit specific input from the community on this potential RCC standard.

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Wegener, John A., i Rodney L. Davis. "EXTENSION OF A COMMON DATA FORMAT FOR REAL-TIME APPLICATIONS". International Foundation for Telemetering, 2004. http://hdl.handle.net/10150/604961.

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International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California
The HDF5 (Hierarchical Data Format) data storage family is an industry standard format that allows data to be stored in a common format and retrieved by a wide range of common tools. HDF5 is a widely accepted industry standard container for data storage developed by the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. The HDF5 data storage family includes HDF-Time History, intended for data processing, and HDF-Packet, intended for real-time data collection; each of these is an extension to the basic HDF5 format, which defines data structures and associated interrelationships, optimized for that particular purpose. HDF-Time History, developed jointly by Boeing and NCSA, is in the process of being adopted throughout the Boeing test community and by its external partners. The Boeing/NCSA team is currently developing HDF-Packet to support real-time streaming applications, such as airborne data collection and recording of received telemetry. The advantages are significant cost reduction resulting from storing the data in its final format, thus avoiding conversion between a myriad of recording and intermediate formats. In addition, by eliminating intermediate file translations and conversions, data integrity is maintained from recording through processing and archival storage. As well, HDF5 is a general-purpose wrapper, into which can be stored processed data and other data documentation information (such as calibrations), thus making the final data file self-documenting. This paper describes the basics of the HDF-Time History, the extensions required to support real-time acquisition with HDF-Packet, and implementation issues unique to real-time acquisition. It also describes potential future implementations for data acquisition systems in different segments of the test data industry.

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Alfredsson, Anders. "XML as a Format for Representation and Manipulation of Data from Radar Communications". Thesis, University of Skövde, Department of Computer Science, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-591.

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XML was designed to be a new standard for marking up data on the web. However, as a result of its extensible and flexible properties, XML is now being used more and more for other purposes than was originally intended. Today XML is prompting an approach more focused on data exchange, between different applications inside companies or even between cooperating businesses.

Businesses are showing interest in using XML as an integral part of their work. Ericsson Microwave Systems (EMW) is a company that sees XML as a conceivable solution to problems in the work with radar communications. An approach towards a solution based on a relational database system has earlier been analysed.

In this project we present an investigation of the work at EMW, and identification and documentation of the problems in the radar communication work. Also, the requirements and expectations that EMW has on XML are presented. Moreover, an analysis has been made to decide to what extent XML could be used to solve the problems of EMW. The analysis was conducted by elucidating the problems and possibilities of XML compared to the previous approach for solving the problems at EMW, which was based on using a relational database management system.

The analysis shows that XML has good features for representing hierarchically structured data, as in the EMW case. It is also shown that XML is good for data integration purposes. Furthermore, the analysis shows that XML, due to its self-describing and weak typing nature, is inappropriate to use in the data semantics and integrity problem context of EMW. However, it also shows that the new XML Schema standard could be used as a complement to the core XML standard, to partially solve the semantics problems.

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Barnum, Jil. "THE USE OF HDF IN F-22 AVIONICS TEST AND EVALUATION". International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/608388.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California
Hierarchical Data Format (HDF) is a public domain standard for file formats which is documented and maintained by the National Center for Super Computing Applications. HDF is the standard adopted by the F-22 program to increase efficiency of avionics data processing and utility of the data. This paper will discuss how the data processing Integrated Product Team (IPT) on the F-22 program plans to use HDF for file format standardization. The history of the IPT choosing HDF, the efficiencies gained by choosing HDF, and the ease of data transfer will be explained.

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Wan, Wade K. (Wade Keith) 1973. "Adaptive format conversion information as enhancement data for scalable video coding". Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/29903.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
Includes bibliographical references (p. 143-145).
Scalable coding techniques can be used to efficiently provide multicast video service and involve transmitting a single independently coded base layer and one or more dependently coded enhancement layers. Clients can decode the base layer bitstream and none, some or all of the enhancement layer bitstreams to obtain video quality commensurate with their available resources. In many scalable coding algorithms, residual coding information is the only type of data that is coded in the enhancement layers. However, since the transmitter has access to the original sequence, it can adaptively select different format conversion methods for different regions in an intelligent manner. This adaptive format conversion information can then be transmitted as enhancement data to assist processing at the decoder. The use of adaptive format conversion has not been studied in detail and this thesis examines when and how it can be used for scalable video compression. A new scalable codec is developed in this thesis that can utilize adaptive format conversion information and/or residual coding information as enhancement data. This codec was used in various simulations to investigate different aspects of adaptive format conversion such as the effect of the base layer, a comparison of adaptive format conversion and residual coding, and the use of both adaptive format conversion and residual coding.
(cont.) The experimental results show adaptive format conversion can provide video scalability at low enhancement bitrates not possible with residual coding and also assist residual coding at higher enhancement layer bitrates. This thesis also discusses the application of adaptive format conversion to the migration path for digital television. Adaptive format conversion is well-suited to the unique problems of the migration path and can provide initial video scalability as well as assist a future migration path.
by Wade K. Wan.
Ph.D.

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Książki na temat "Data Format"

OCLC. Books format. Wyd. 3. Dublin, Ohio: OCLC, 1986.

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OCLC. Books format. Wyd. 3. Dublin, Ohio: OCLC, 1986.

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Office, Canadian MARC. Canadian MARC communication format: Bibliographic data. S.l: s.n, 1990.

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National Information Standards Organization (U.S.). Information interchange format. Bethesda, Md: NISO Press, 1994.

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Monette, Bryan. CanSIS regional soils data in vector format. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Krichak, M. O. Input format guidelines for world radiometric network data. [Geneva]: World Meteorological Organization, 1987.

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Engineers, National Association of Corrosion. Standard format for computerized close interval survey data. Houston: NACE, 1992.

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Ilg, Markus. Digital processing of map data in raster format. Zürich: Geographisches Institut, Eidgenössische Technische Hochschule, 1986.

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Hancher, Donn E. Submittal of bid proposals in electronic format. Washington, D.C: National Academy Press, 1998.

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Corporation, Petrotechnical Open Software, red. POSC Exchange Format Version 1.0. Englewood Cliffs, N.J: Prentice Hall, 1994.

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Części książek na temat "Data Format"

Weik, Martin H. "data format". W Computer Science and Communications Dictionary, 348. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4280.

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Weik, Martin H. "data format". W Computer Science and Communications Dictionary, 348. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4281.

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Koziol, Quincey, Wu-Chun Feng, Wu-Chun Feng, Heshan Lin, Jack Dongarra, Piotr Luszczek, Yale N. Patt i in. "Hierarchical Data Format". W Encyclopedia of Parallel Computing, 833. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_2156.

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Mitchell, H. B. "Common Representational Format". W Data Fusion: Concepts and Ideas, 51–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27222-6_4.

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Grosbøl, Preben. "The FITS Data Format". W Databases & On-line Data in Astronomy, 253–57. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3250-3_25.

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Kwon, Young-Bin, i Byoung-Jin Han. "DNA Data Format Standardization". W Encyclopedia of Biometrics, 1–7. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27733-7_9046-1.

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Nishisato, Shizuhiko. "Data Format and Information". W Behaviormetrics: Quantitative Approaches to Human Behavior, 59–68. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9170-6_6.

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Kwon, Young-Bin, i Byoung-Jin Han. "DNA Data Format Standardization". W Encyclopedia of Biometrics, 356–61. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7488-4_9046.

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Horn, Sven, Alexander Claus, Jörg Neidig, Bruno Kiesel, Thorbjørn Hansen i Jens Haupert. "The SemProM Data Format". W SemProM, 127–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37377-0_8.

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Westbrook, John D., i Paula M. D. Fitzgerald. "The PDB Format, mmCIF Formats, and Other Data Formats". W Structural Bioinformatics, 159–79. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471721204.ch8.

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Streszczenia konferencji na temat "Data Format"

Jeiran, Mark, Bryan I. Vogel i Kevin J. Miller. "Common data format". W Automatic Target Recognition XXXII, redaktorzy Kristen Jaskie, Timothy L. Overman, Riad I. Hammoud i Abhijit Mahalanobis. SPIE, 2022. http://dx.doi.org/10.1117/12.2618565.

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Rolle, Michael R. "Universal pattern data format". W 13th Annual BACUS Symposium on Photomask Technology and Management, redaktorzy Edward C. Grady i Jack P. Moneta. SPIE, 1994. http://dx.doi.org/10.1117/12.167270.

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Grauer, Michael J., Iris K. Howley, Joseph B. Kopena i William C. Regli. "Towards a Format Registry for Engineering Data". W ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35652.

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Streszczenie:

There has been a great deal of interest recently in the problem of long term archiving of digital data. This is especially so in engineering design, where the CAD software tools evolve rapidly but the manufactured products themselves have much longer lifetimes whose support requires archived design data in a usable form. The ISO Open Archival Information Systems (OAIS) Reference Model is a widely used standard for digital archiving, with an essential piece of this model being a file format registry. A file format registry is a system for housing information about file formats that allows for correct interpretation, rendering, storage, and translation of digital files. Currently there exists no file format registry specifically for CAD file formats. This paper explains the purpose of a file format registry for CAD in the greater context of digital archiving, and then presents our approach to creating a CAD file format registry using the Resource Description Framework (RDF) language of the Semantic Web. By creating our file format registry in RDF, we allow archival systems to perform automated reasoning on the stored files. We hope that this paper will increase awareness of this element of engineering design repositories in the research community of this conference.

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Ježek, Petr, i Roman Mouček. "Data Format for Storing ANT+ Sensors Data". W 10th International Conference on Health Informatics. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006229103960400.

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Albano, Cláudio Sonáglio, i Leonardo Bidese de Pinho. "Publishing Data in Open Format". W ICEGOV '15-16: 9th International Conference on Theory and Practice of Electronic Governance. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2910019.2910059.

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Taylor, Teryl, Frederico Araujo i Xiaokui Shu. "Towards an Open Format for Scalable System Telemetry". W 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9378294.

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Sumanth, S. K., P. Namratha, R. Naveen Kumar i N. Ramakrishna. "Multi-format Index Data Structure (MIDS) for multimedia container format demultiplexers". W 2011 International Conference on Electronic Devices, Systems and Applications (ICEDSA). IEEE, 2011. http://dx.doi.org/10.1109/icedsa.2011.5959030.

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McDonnell, J., i W. Wieselquist. "Hierarchical Data Format for Nuclear Data Sensitivities [Slides}". W 2021 ANS Virtual Annual Meeting, Computational Methods and Mathematical Modeling, Held Virtually, Providence, RI (United States), 14-16 Jun 2021. US DOE, 2021. http://dx.doi.org/10.2172/1901750.

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Yasuda, Kouichi, Jun Nakano, Norio Mitsui i Sakuya Tamada. "An Inorganic WO Disc Compatible with Blu-ray Format". W Optical Data Storage. Washington, D.C.: OSA, 2003. http://dx.doi.org/10.1364/ods.2003.mc4.

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Whitney, Alan, Mark Kettenis, Chris Phillips i Mamoru Sekido. "VLBI Data Interchange Format (VDIF) (invited)". W The 8th International e-VLBI Workshop. Trieste, Italy: Sissa Medialab, 2009. http://dx.doi.org/10.22323/1.082.0042.

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Raporty organizacyjne na temat "Data Format"

Alakuijala, J., i Z. Szabadka. Brotli Compressed Data Format. RFC Editor, lipiec 2016. http://dx.doi.org/10.17487/rfc7932.

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Brown, D. Format requirements of thermal neutron scattering data in a nuclear data format to succeed the ENDF format. Office of Scientific and Technical Information (OSTI), marzec 2014. http://dx.doi.org/10.2172/1183267.

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Wildgrube, M. Structured Data Exchange Format (SDXF). RFC Editor, marzec 2001. http://dx.doi.org/10.17487/rfc3072.

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Sugano, H., S. Fujimoto, G. Klyne, A. Bateman, W. Carr i J. Peterson. Presence Information Data Format (PIDF). RFC Editor, sierpień 2004. http://dx.doi.org/10.17487/rfc3863.

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Butler, Cary D., David R. Richards, Robert M. Wallace, Norman L. Jones i Russell Jones. Extensible Model Data Format (XMDF). Fort Belvoir, VA: Defense Technical Information Center, styczeń 2007. http://dx.doi.org/10.21236/ada461368.

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Dziurlaj, John. Micro Common Data Format Specification. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.1500-19.

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Bankoski, J., J. Koleszar, L. Quillio, J. Salonen, P. Wilkins i Y. Xu. VP8 Data Format and Decoding Guide. RFC Editor, listopad 2011. http://dx.doi.org/10.17487/rfc6386.

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Bush, B. W. TRANSIMS and the hierarchical data format. Office of Scientific and Technical Information (OSTI), czerwiec 1997. http://dx.doi.org/10.2172/516007.

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Wack, John P., Kim Brace, Sam Dana, Herb Deutsch, John Dziurlaj, Ian Piper, Don Rehill, Richard Rivello i Sarah Whitt. Election Results Common Data Format Specification. National Institute of Standards and Technology, luty 2016. http://dx.doi.org/10.6028/nist.sp.1500-100.

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Wack, John. Election results common data format specification:. Gaithersburg, MD: National Institute of Standards and Technology, grudzień 2019. http://dx.doi.org/10.6028/nist.sp.1500-100r2.

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