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Architecture of the World Wide Web, First Edition Editor's Draft 14 October 2004
Architecture of the World Wide Web, First Edition Editor's Draft 14 October 2004 This version: http://www.w3.org/2001/tag/2004/webarch-20041014/ Latest editor's draft: http://www.w3.org/2001/tag/webarch/ Previous version: http://www.w3.org/2001/tag/2004/webarch-20040928/ Latest TR version: http://www.w3.org/TR/webarch/ Editors: Ian Jacobs, W3C Norman Walsh, Sun Microsystems, Inc. Authors: See acknowledgments (§8, pg. 42). Copyright © 2002-2004 W3C ® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark, document use and software licensing rules apply. Your interactions with this site are in accordance with our public and Member privacy statements. Abstract The World Wide Web is an information space of interrelated resources. This information space is the basis of, and is shared by, a number of information systems. In each of these systems, people and software retrieve, create, display, analyze, relate, and reason about resources. The World Wide Web uses relatively simple technologies with sufficient scalability, efficiency and utility that they have resulted in a remarkable information space of interrelated resources, growing across languages, cultures, and media. In an effort to preserve these properties of the information space as the technologies evolve, this architecture document discusses the core design components of the Web. They are identification of resources, representation of resource state, and the protocols that support the interaction between agents and resources in the space. We relate core design components, constraints, and good practices to the principles and properties they support. Status of this document This section describes the status of this document at the time of its publication. -
Lesson 1 Key-Terms Meanings: Internet Connectivity Principles
Lesson 1 Key-Terms Meanings: Internet Connectivity Principles Chapter-4 L01: "Internet of Things " , Raj Kamal, 2017 1 Publs.: McGraw-Hill Education Header Words • Header words are placed as per the actions required at succeeding stages during communication from Application layer • Each header word at a layer consists of one or more header fields • The header fields specify the actions as per the protocol used Chapter-4 L01: "Internet of Things " , Raj Kamal, 2017 2 Publs.: McGraw-Hill Education Header fields • Fields specify a set of parameters encoded in a header • Parameters and their encoding as per the protocol used at that layer • For example, fourth word header field for 32-bit Source IP address in network layer using IP Chapter-4 L01: "Internet of Things " , Raj Kamal, 2017 3 Publs.: McGraw-Hill Education Protocol Header Field Example • Header field means bits in a header word placed at appropriate bit place, for example, place between bit 0 and bit 31 when a word has 32-bits. • First word fields b31-b16 for IP packet length in bytes, b15-b4 Service type and precedence and b3-b0 for IP version • Chapter-4 L01: "Internet of Things " , Raj Kamal, 2017 4 Publs.: McGraw-Hill Education IP Header • Header fields consist of parameters and their encodings which are as per the IP protocol • An internet layer protocol at a source or destination in TCP/IP suite of protocols Chapter-4 L01: "Internet of Things " , Raj Kamal, 2017 5 Publs.: McGraw-Hill Education TCP Header • Header fields consist of parameters and their encoding which are as -
Supplement 211: Dicomweb Support for the Application/Zip Payload
5 Digital Imaging and Communications in Medicine (DICOM) Supplement 211: 10 DICOMweb Support for the application/zip Payload 15 20 Prepared by: Bill Wallace, Brad Genereaux DICOM Standards Committee, Working Group 27 1300 N. 17th Street Rosslyn, Virginia 22209 USA 25 Developed in accordance with work item WI 2018 -09 -C VERSION: 19 January 16, 2020 Table of Contents Scope and Field of Application ........................................................................................................................................ iii 30 Open Questions ....................................................................................................................................................... iii Closed Questions .................................................................................................................................................... iiii 8.6.1.3.1 File Extensions ................................................................................................................................. viv 8.6.1.3.2 BulkData URI ................................................................................................................................... viv 8.6.1.3.3 Logical Format ........................................................................................................................................ viv 35 8.6.1.3.4 Metadata Representations ...................................................................................................................... viv Scope and Field of Application -
Fast and Scalable Pattern Mining for Media-Type Focused Crawling
Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published version when available. Title Fast and Scalable Pattern Mining for Media-Type Focused Crawling Author(s) Umbrich, Jürgen; Karnstedt, Marcel; Harth, Andreas Publication Date 2009 Jürgen Umbrich, Marcel Karnstedt, Andreas Harth "Fast and Publication Scalable Pattern Mining for Media-Type Focused Crawling", Information KDML 2009: Knowledge Discovery, Data Mining, and Machine Learning, in conjunction with LWA 2009, 2009. Item record http://hdl.handle.net/10379/1121 Downloaded 2021-09-27T17:53:57Z Some rights reserved. For more information, please see the item record link above. Fast and Scalable Pattern Mining for Media-Type Focused Crawling∗ [experience paper] Jurgen¨ Umbrich and Marcel Karnstedt and Andreas Harthy Digital Enterprise Research Institute (DERI) National University of Ireland, Galway, Ireland fi[email protected] Abstract 1999]) wants to infer the topic of a target page before de- voting bandwidth to download it. Further, a page’s content Search engines targeting content other than hy- may be hidden in images. pertext documents require a crawler that discov- ers resources identifying files of certain media types. Na¨ıve crawling approaches do not guaran- A crawler for media type targeted search engines is fo- tee a sufficient supply of new URIs (Uniform Re- cused on the document formats (such as audio and video) source Identifiers) to visit; effective and scalable instead of the topic covered by the documents. For a scal- mechanisms for discovering and crawling tar- able media type focused crawler it is absolutely essential geted resources are needed. -
Describing Media Content of Binary Data in XML W3C Working Group Note 4 May 2005
Table of Contents Describing Media Content of Binary Data in XML W3C Working Group Note 4 May 2005 This version: http://www.w3.org/TR/2005/NOTE-xml-media-types-20050504 Latest version: http://www.w3.org/TR/xml-media-types Previous version: http://www.w3.org/TR/2005/NOTE-xml-media-types-20050502 Editors: Anish Karmarkar, Oracle Ümit Yalçınalp, SAP Copyright © 2005 W3C ® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply. > >Abstract This document addresses the need to indicate the content-type associated with binary element content in an XML document and the need to specify, in XML Schema, the expected content-type(s) associated with binary element content. It is expected that the additional information about the content-type will be used for optimizing the handling of binary data that is part of a Web services message. Status of this Document This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at http://www.w3.org/TR/. This document is a W3C Working Group Note. This document includes the resolution of the comments received on the Last Call Working Draft previously published. The comments on this document and their resolution can be found in the Web Services Description Working Group’s issues list. There is no technical difference between this document and the 2 May 2005 version; the acknowledgement section has been updated to thank external contributors. -
2016 Technical Guidelines for Digitizing Cultural Heritage Materials
September 2016 Technical Guidelines for Digitizing Cultural Heritage Materials Creation of Raster Image Files i Document Information Title Editor Technical Guidelines for Digitizing Cultural Heritage Materials: Thomas Rieger Creation of Raster Image Files Document Type Technical Guidelines Publication Date September 2016 Source Documents Title Editors Technical Guidelines for Digitizing Cultural Heritage Materials: Don Williams and Michael Creation of Raster Image Master Files Stelmach http://www.digitizationguidelines.gov/guidelines/FADGI_Still_Image- Tech_Guidelines_2010-08-24.pdf Document Type Technical Guidelines Publication Date August 2010 Title Author s Technical Guidelines for Digitizing Archival Records for Electronic Steven Puglia, Jeffrey Reed, and Access: Creation of Production Master Files – Raster Images Erin Rhodes http://www.archives.gov/preservation/technical/guidelines.pdf U.S. National Archives and Records Administration Document Type Technical Guidelines Publication Date June 2004 This work is available for worldwide use and reuse under CC0 1.0 Universal. ii Table of Contents INTRODUCTION ........................................................................................................................................... 7 SCOPE .......................................................................................................................................................... 7 THE FADGI STAR SYSTEM ....................................................................................................................... -
Media Type Application/Vnd.Oracle.Resource+Json
New Media Type for Oracle REST Services to Support Specialized Resource Types O R A C L E WHITEPAPER | M A R C H 2 0 1 5 Disclaimer The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. Contents Introduction 3 Conventions and Terminology 3 Core terminology 3 Singular Resource 4 Collection Resource 8 Exception Detail Resource 13 Status Resource 14 Query Description Resource 15 create-form Resource 16 edit-form Resource 17 JSON Schema 18 IANA Considerations 28 References 28 Change Log 28 2 | ORACLE WHITEPAPER: NEW MEDIA TYPE FOR ORACLE REST SERVICES TO SUPPORT SPECIALIZED RESOURCE TYPES Introduction This document defines a new media type, application/vnd.oracle.resource+json, which can be used by REST services to support the specialized resource types defined in the following table. Resource Type Description Singular Single entity resource, such as an employee or a purchase order. For more information, see “Singular Resource.” Collection List of items, such as employees or purchase orders. See “Collection Resource.” Exception Detail Detailed information about a failed request. See “Exception Detail Resource.” Status Status of a long running job. See “Status Resource.” Query description Query syntax description used by client to build the "q" query parameter. -
Social Media Solution Guide
Social Media Solution Guide Deploy Social Messaging Server with an RSS Channel 9/30/2021 Deploy Social Messaging Server with an RSS Channel Deploy Social Messaging Server with an RSS Channel Contents • 1 Deploy Social Messaging Server with an RSS Channel • 1.1 Prepare the RSS Channel • 1.2 Configure the Options • 1.3 Interaction Attributes • 1.4 Next Steps Social Media Solution Guide 2 Deploy Social Messaging Server with an RSS Channel Warning The APIs and other features of social media sites may change with little warning. The information provided on this page was correct at the time of publication (22 February 2013). For an RSS channel, you need two installation packages: Social Messaging Server and Genesys Driver for Use with RSS. The Driver adds RSS-specific features to Social Messaging Server and does not require its own Application object in the Configuration Server database. You can also create a Custom Media Channel Driver. Important Unlike some other eServices components, Social Messaging Server does not require Java Environment and Libraries for eServices and UCS. Prepare the RSS Channel 1. Deploy Social Messaging Server. 2. Run the installation for Genesys Driver for Use with RSS, selecting the desired Social Messaging Server object: Social Media Solution Guide 3 Deploy Social Messaging Server with an RSS Channel Select your Social Messaging Server Object 3. Locate the driver-for-rss-options.cfg configuration file in the \<Social Messaging Server application>\media-channel-drivers\channel-rss directory. 4. In Configuration Manager, open your Social Messaging Server Application, go to the Options tab, and import driver-for-rss-options.cfg. -
Usenet News HOWTO
Usenet News HOWTO Shuvam Misra (usenet at starcomsoftware dot com) Revision History Revision 2.1 2002−08−20 Revised by: sm New sections on Security and Software History, lots of other small additions and cleanup Revision 2.0 2002−07−30 Revised by: sm Rewritten by new authors at Starcom Software Revision 1.4 1995−11−29 Revised by: vs Original document; authored by Vince Skahan. Usenet News HOWTO Table of Contents 1. What is the Usenet?........................................................................................................................................1 1.1. Discussion groups.............................................................................................................................1 1.2. How it works, loosely speaking........................................................................................................1 1.3. About sizes, volumes, and so on.......................................................................................................2 2. Principles of Operation...................................................................................................................................4 2.1. Newsgroups and articles...................................................................................................................4 2.2. Of readers and servers.......................................................................................................................6 2.3. Newsfeeds.........................................................................................................................................6 -
Cisco Unified Border Element H.323-To-SIP Internetworking Configuration Guide, Cisco IOS Release 12.4T Iii
Cisco Unified Border Element H.323-to- SIP Internetworking Configuration Guide, Cisco IOS Release 12.4T Americas Headquarters Cisco Systems, Inc. 170 West Tasman Drive San Jose, CA 95134-1706 USA http://www.cisco.com Tel: 408 526-4000 800 553-NETS (6387) Fax: 408 527-0883 THE SPECIFICATIONS AND INFORMATION REGARDING THE PRODUCTS IN THIS MANUAL ARE SUBJECT TO CHANGE WITHOUT NOTICE. ALL STATEMENTS, INFORMATION, AND RECOMMENDATIONS IN THIS MANUAL ARE BELIEVED TO BE ACCURATE BUT ARE PRESENTED WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED. USERS MUST TAKE FULL RESPONSIBILITY FOR THEIR APPLICATION OF ANY PRODUCTS. THE SOFTWARE LICENSE AND LIMITED WARRANTY FOR THE ACCOMPANYING PRODUCT ARE SET FORTH IN THE INFORMATION PACKET THAT SHIPPED WITH THE PRODUCT AND ARE INCORPORATED HEREIN BY THIS REFERENCE. IF YOU ARE UNABLE TO LOCATE THE SOFTWARE LICENSE OR LIMITED WARRANTY, CONTACT YOUR CISCO REPRESENTATIVE FOR A COPY. The Cisco implementation of TCP header compression is an adaptation of a program developed by the University of California, Berkeley (UCB) as part of UCB’s public domain version of the UNIX operating system. All rights reserved. Copyright © 1981, Regents of the University of California. NOTWITHSTANDING ANY OTHER WARRANTY HEREIN, ALL DOCUMENT FILES AND SOFTWARE OF THESE SUPPLIERS ARE PROVIDED “AS IS” WITH ALL FAULTS. CISCO AND THE ABOVE-NAMED SUPPLIERS DISCLAIM ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING, WITHOUT LIMITATION, THOSE OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OR ARISING FROM A COURSE OF DEALING, USAGE, OR TRADE PRACTICE. IN NO EVENT SHALL CISCO OR ITS SUPPLIERS BE LIABLE FOR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, OR INCIDENTAL DAMAGES, INCLUDING, WITHOUT LIMITATION, LOST PROFITS OR LOSS OR DAMAGE TO DATA ARISING OUT OF THE USE OR INABILITY TO USE THIS MANUAL, EVEN IF CISCO OR ITS SUPPLIERS HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. -
Structure of IEEE 802.11 Packets at Various Physical Layers
Appendix A: Structure of IEEE 802.11 Packets at Various Physical Layers This appendix gives a detailed description of the structure of packets in IEEE 802.11 for the different physical layers. 1. Packet Format of Frequency Hopping Spread-spectrum Physical Layer (FHSS PHY) The packet is made up of the following elements (Figure A.1): 1.1 Preamble It depends on the physical layer and includes: – Synch: a sequence of 80 bits alterning 0 and 1, used by the physical circuits to select the correct antenna (if more than one are in use), and correct offsets of frequency and synchronization. – SFD: start frame delimiter consists of a pattern of 16 bits: 0000 1100 1011 1101, used to define the beginning of the frame. 1.2 Physical Layer Convergence Protocol Header The Physical Layer Convergence Protocol (PLCP) header is always transmitted at 1 Mbps and carries some logical information used by the physical layer to decode the frame: – Length of word of PLCP PDU (PLW): representing the number of bytes in the packet, useful to the physical layer to detect correctly the end of the packet. – Flag of signalization PLCP (PSF): indicating the supported rate going from 1 to 4.5 Mbps with steps of 0.5 Mbps. Even though the standard gives the combinations of bits for PSF (see Table A.1) to support eight different rates, only the modulations for 1 and 2 Mbps have been defined. – Control error field (HEC): CRC field for error detection of 16 bits (or 32 bits). The polynomial generator used is G(x)=x16 + x12 + x5 +1. -
Wrangling Messy CSV Files by Detecting Row and Type Patterns
Wrangling Messy CSV Files by Detecting Row and Type Patterns Gerrit J.J. van den Burg1, Alfredo Nazábal1, and Charles Sutton1,2,3 1The Alan Turing Institute, London, UK 2Google, Inc. Mountain View, CA, USA 3School of Informatics, The University of Edinburgh, UK November 29, 2018 Abstract It is well known that data scientists spend the majority of their time on preparing data for analysis. One of the first steps in this preparation phase is to load the data from the raw storage format. Comma-separated value (CSV) files are a popular format for tabular data due to their simplicity and ostensible ease of use. However, formatting standards for CSV files are not followed consistently, so each file requires manual inspection and potentially repair before the data can be loaded, an enormous waste of human effort for a task that should be one of the simplest parts of data science. The first and most essential step in retrieving data from CSV files is deciding on the dialect of the file, such as the cell delimiter and quote character. Existing dialect detection approaches are few and non-robust. In this paper, we propose a dialect detection method based on a novel measure of data consistency of parsed data files. Our method achieves 97% overall accuracy on a large corpus of real- world CSV files and improves the accuracy on messy CSV files by almost 22% compared to existing approaches, including those in the Python standard library. Keywords — Data Wrangling, Data Parsing, Comma Separated Values arXiv:1811.11242v1 [cs.DB] 27 Nov 2018 1 CSV is a textbook example of how not to design a textual file format.