Rdf Repository Replacing Relational Database
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Document Databases, JSON, Mongodb 17
MI-PDB, MIE-PDB: Advanced Database Systems http://www.ksi.mff.cuni.cz/~svoboda/courses/2015-2-MIE-PDB/ Lecture 13: Document Databases, JSON, MongoDB 17. 5. 2016 Lecturer: Martin Svoboda [email protected] Authors: Irena Holubová, Martin Svoboda Faculty of Mathematics and Physics, Charles University in Prague Course NDBI040: Big Data Management and NoSQL Databases Document Databases Basic Characteristics Documents are the main concept Stored and retrieved XML, JSON, … Documents are Self-describing Hierarchical tree data structures Can consist of maps, collections, scalar values, nested documents, … Documents in a collection are expected to be similar Their schema can differ Document databases store documents in the value part of the key-value store Key-value stores where the value is examinable Document Databases Suitable Use Cases Event Logging Many different applications want to log events Type of data being captured keeps changing Events can be sharded by the name of the application or type of event Content Management Systems, Blogging Platforms Managing user comments, user registrations, profiles, web-facing documents, … Web Analytics or Real-Time Analytics Parts of the document can be updated New metrics can be easily added without schema changes E-Commerce Applications Flexible schema for products and orders Evolving data models without expensive data migration Document Databases When Not to Use Complex Transactions Spanning Different Operations Atomic cross-document operations Some document databases do support (e.g., RavenDB) Queries against Varying Aggregate Structure Design of aggregate is constantly changing → we need to save the aggregates at the lowest level of granularity i.e., to normalize the data Document Databases Representatives Lotus Notes Storage Facility JSON JavaScript Object Notation Introduction • JSON = JavaScript Object Notation . -
Smart Grid Serialization Comparison
Downloaded from orbit.dtu.dk on: Sep 28, 2021 Smart Grid Serialization Comparison Petersen, Bo Søborg; Bindner, Henrik W.; You, Shi; Poulsen, Bjarne Published in: Computing Conference 2017 Link to article, DOI: 10.1109/SAI.2017.8252264 Publication date: 2017 Document Version Peer reviewed version Link back to DTU Orbit Citation (APA): Petersen, B. S., Bindner, H. W., You, S., & Poulsen, B. (2017). Smart Grid Serialization Comparison. In Computing Conference 2017 (pp. 1339-1346). IEEE. https://doi.org/10.1109/SAI.2017.8252264 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research. You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Computing Conference 2017 18-20 July 2017 | London, UK Smart Grid Serialization Comparision Comparision of serialization for distributed control in the context of the Internet of Things Bo Petersen, Henrik Bindner, Shi You Bjarne Poulsen DTU Electrical Engineering DTU Compute Technical University of Denmark Technical University of Denmark Lyngby, Denmark Lyngby, Denmark [email protected], [email protected], [email protected] [email protected] Abstract—Communication between DERs and System to ensure that the control messages are received within a given Operators is required to provide Demand Response and solve timeframe, depending on the needs of the power grid. -
Semantics Developer's Guide
MarkLogic Server Semantic Graph Developer’s Guide 2 MarkLogic 10 May, 2019 Last Revised: 10.0-8, October, 2021 Copyright © 2021 MarkLogic Corporation. All rights reserved. MarkLogic Server MarkLogic 10—May, 2019 Semantic Graph Developer’s Guide—Page 2 MarkLogic Server Table of Contents Table of Contents Semantic Graph Developer’s Guide 1.0 Introduction to Semantic Graphs in MarkLogic ..........................................11 1.1 Terminology ..........................................................................................................12 1.2 Linked Open Data .................................................................................................13 1.3 RDF Implementation in MarkLogic .....................................................................14 1.3.1 Using RDF in MarkLogic .........................................................................15 1.3.1.1 Storing RDF Triples in MarkLogic ...........................................17 1.3.1.2 Querying Triples .......................................................................18 1.3.2 RDF Data Model .......................................................................................20 1.3.3 Blank Node Identifiers ..............................................................................21 1.3.4 RDF Datatypes ..........................................................................................21 1.3.5 IRIs and Prefixes .......................................................................................22 1.3.5.1 IRIs ............................................................................................22 -
XSAMS: XML Schema for Atomic, Molecular and Solid Data
XSAMS: XML Schema for Atomic, Molecular and Solid Data Version 0.1.1 Draft Document, January 14, 2011 This version: http://www-amdis.iaea.org/xsams/docu/v0.1.1.pdf Latest version: http://www-amdis.iaea.org/xsams/docu/ Previous versions: http://www-amdis.iaea.org/xsams/docu/v0.1.pdf Editors: M.L. Dubernet, D. Humbert, Yu. Ralchenko Authors: M.L. Dubernet, D. Humbert, Yu. Ralchenko, E. Roueff, D.R. Schultz, H.-K. Chung, B.J. Braams Contributors: N. Moreau, P. Loboda, S. Gagarin, R.E.H. Clark, M. Doronin, T. Marquart Abstract This document presents a proposal for an XML schema aimed at describing Atomic, Molec- ular and Particle Surface Interaction Data in distributed databases around the world. This general XML schema is a collaborative project between International Atomic Energy Agency (Austria), National Institute of Standards and Technology (USA), Universit´ePierre et Marie Curie (France), Oak Ridge National Laboratory (USA) and Paris Observatory (France). Status of this document It is a draft document and it may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use this document as reference materials or to cite them as other than “work in progress”. Acknowledgements The authors wish to acknowledge all colleagues and institutes, atomic and molecular database experts and physicists who have collaborated through different discussions to the building up of the concepts described in this document. Change Log Version 0.1: June 2009 Version 0.1.1: November 2010 Contents 1 Introduction 11 1.1 Motivation..................................... 11 1.2 Limitations..................................... 12 2 XSAMS structure, types and attributes 13 2.1 Atomic, Molecular and Particle Surface Interaction Data XML Schema Structure 13 2.2 Attributes .................................... -
Rdfa in XHTML: Syntax and Processing Rdfa in XHTML: Syntax and Processing
RDFa in XHTML: Syntax and Processing RDFa in XHTML: Syntax and Processing RDFa in XHTML: Syntax and Processing A collection of attributes and processing rules for extending XHTML to support RDF W3C Recommendation 14 October 2008 This version: http://www.w3.org/TR/2008/REC-rdfa-syntax-20081014 Latest version: http://www.w3.org/TR/rdfa-syntax Previous version: http://www.w3.org/TR/2008/PR-rdfa-syntax-20080904 Diff from previous version: rdfa-syntax-diff.html Editors: Ben Adida, Creative Commons [email protected] Mark Birbeck, webBackplane [email protected] Shane McCarron, Applied Testing and Technology, Inc. [email protected] Steven Pemberton, CWI Please refer to the errata for this document, which may include some normative corrections. This document is also available in these non-normative formats: PostScript version, PDF version, ZIP archive, and Gzip’d TAR archive. The English version of this specification is the only normative version. Non-normative translations may also be available. Copyright © 2007-2008 W3C® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply. Abstract The current Web is primarily made up of an enormous number of documents that have been created using HTML. These documents contain significant amounts of structured data, which is largely unavailable to tools and applications. When publishers can express this data more completely, and when tools can read it, a new world of user functionality becomes available, letting users transfer structured data between applications and web sites, and allowing browsing applications to improve the user experience: an event on a web page can be directly imported - 1 - How to Read this Document RDFa in XHTML: Syntax and Processing into a user’s desktop calendar; a license on a document can be detected so that users can be informed of their rights automatically; a photo’s creator, camera setting information, resolution, location and topic can be published as easily as the original photo itself, enabling structured search and sharing. -
Spindle Documentation Release 2.0.0
spindle Documentation Release 2.0.0 Jorge Ortiz, Jason Liszka June 08, 2016 Contents 1 Thrift 3 1.1 Data model................................................3 1.2 Interface definition language (IDL)...................................4 1.3 Serialization formats...........................................4 2 Records 5 2.1 Creating a record.............................................5 2.2 Reading/writing records.........................................6 2.3 Record interface methods........................................6 2.4 Other methods..............................................7 2.5 Mutable trait...............................................7 2.6 Raw class.................................................7 2.7 Priming..................................................7 2.8 Proxies..................................................8 2.9 Reflection.................................................8 2.10 Field descriptors.............................................8 3 Custom types 9 3.1 Enhanced types..............................................9 3.2 Bitfields..................................................9 3.3 Type-safe IDs............................................... 10 4 Enums 13 4.1 Enum value methods........................................... 13 4.2 Companion object methods....................................... 13 4.3 Matching and unknown values...................................... 14 4.4 Serializing to string............................................ 14 4.5 Examples................................................. 14 5 Working -
CBOR (RFC 7049) Concise Binary Object Representation
CBOR (RFC 7049) Concise Binary Object Representation Carsten Bormann, 2015-11-01 1 CBOR: Agenda • What is it, and when might I want it? • How does it work? • How do I work with it? 2 CBOR: Agenda • What is it, and when might I want it? • How does it work? • How do I work with it? 3 Slide stolen from Douglas Crockford History of Data Formats • Ad Hoc • Database Model • Document Model • Programming Language Model Box notation TLV 5 XML XSD 6 Slide stolen from Douglas Crockford JSON • JavaScript Object Notation • Minimal • Textual • Subset of JavaScript Values • Strings • Numbers • Booleans • Objects • Arrays • null Array ["Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday"] [ [0, -1, 0], [1, 0, 0], [0, 0, 1] ] Object { "name": "Jack B. Nimble", "at large": true, "grade": "A", "format": { "type": "rect", "width": 1920, "height": 1080, "interlace": false, "framerate": 24 } } Object Map { "name": "Jack B. Nimble", "at large": true, "grade": "A", "format": { "type": "rect", "width": 1920, "height": 1080, "interlace": false, "framerate": 24 } } JSON limitations • No binary data (byte strings) • Numbers are in decimal, some parsing required • Format requires copying: • Escaping for strings • Base64 for binary • No extensibility (e.g., date format?) • Interoperability issues • I-JSON further reduces functionality (RFC 7493) 12 BSON and friends • Lots of “binary JSON” proposals • Often optimized for data at rest, not protocol use (BSON ➔ MongoDB) • Most are more complex than JSON 13 Why a new binary object format? • Different design goals from current formats – stated up front in the document • Extremely small code size – for work on constrained node networks • Reasonably compact data size – but no compression or even bit-fiddling • Useful to any protocol or application that likes the design goals 14 Concise Binary Object Representation (CBOR) 15 “Sea Boar” “Sea Boar” 16 Design goals (1 of 2) 1. -
JSON JSON (Javascript Object Notation) Ecmascript Javascript
ECMAScript JSON ECMAScript is standardized JavaScript. The current version is the 12th edition: Péter Jeszenszky Ecma International, ECMAScript 2021 Language Specification, Standard ECMA-262, 12th ed., June 2021. https://www.ecma- international.org/publications-and-standards/standards/ecma-262/ October 8, 2021 The next version currently under development is ECMAScript 2022: ECMAScript 2022 Language Specification https://tc39.es/ecma262/ Péter Jeszenszky JSON October 8, 2021 1 / 94 Péter Jeszenszky JSON October 8, 2021 3 / 94 JSON (JavaScript Object Notation) JavaScript Lightweight, textual, and platform independent data exchange format. Used for representing structured data. The term JavaScript is used for the implementations of ECMAScript by different vendors. Can be read and written easily by humans. See also: JavaScript technologies overview Can be generated and processed easily by computer programs. https://developer.mozilla.org/en- US/docs/Web/JavaScript/JavaScript_technologies_overview Originates from the ECMAScript programming language. Website: https://www.json.org/ Péter Jeszenszky JSON October 8, 2021 2 / 94 Péter Jeszenszky JSON October 8, 2021 4 / 94 JavaScript Engines (1) Node.js (1) SpiderMonkey (written in: C/C++; license: Mozilla Public License 2.0) https://spidermonkey.dev/ A JavaScript runtime environment built on the V8 JavaScript engine The JavaScript engine of the Mozilla Project. that is designed to build scalable network applications. V8 (written in: C++; license: New BSD License) https://v8.dev/ Website: https://nodejs.org/ https://github.com/nodejs/node https://github.com/v8/v8/ License: MIT License The JavaScript engine of Chromium. Written in: C++, JavaScript JavaScriptCore (written in: C++; license: LGPLv2) https://developer.apple.com/documentation/javascriptcore https: Platform: Linux, macOS, Windows //github.com/WebKit/webkit/tree/master/Source/JavaScriptCore The JavaScript engine developed for the WebKit rendering engine. -
Robust Web Content Extraction Marek Kowalkiewicz Maria E
Robust Web Content Extraction Marek Kowalkiewicz Maria E. Orlowska Tomasz Kaczmarek Witold Abramowicz Department of Management Department of Information Department of Management Department of Management Information Systems Technology and Electrical Information Systems Information Systems The Poznan University of Engineering The Poznan University of The Poznan University of Economics The University of Economics Economics Al. Niepodleglosci 10 Queensland Al. Niepodleglosci 10 Al. Niepodleglosci 10 60-967 Poznan, Poland Brisbane, St. Lucia 60-967 Poznan, Poland 60-967 Poznan, Poland +48 (61) 8543631 QLD 4072, Australia +48 (61) 8543631 +48 (61) 8543381 +61 (7) 33652989 [email protected] [email protected] [email protected] [email protected] ABSTRACT There is a number of technologies to extract information from We present an empirical evaluation and comparison of two webpages. For a state of the art analysis, see previously content extraction methods in HTML: absolute XPath expressions mentioned paper [2] and an extensive study by Laender et al. [3]. and relative XPath expressions. We argue that the relative XPath Robustness of content extraction methods, with a focus on XPath, expressions, although not widely used, should be used in has been presented in a work by Abe and Hori [1]. The authors preference to absolute XPath expressions in extracting content proposed four content anchoring approaches and tested them on from human-created Web documents. Evaluation of robustness documents from four Web sites. The samples used in theory study covers four thousand queries executed on several hundred were too small to be statistically valid. However the authors make webpages. We show that in referencing parts of real world a significant step towards establishing an understanding of the dynamic HTML documents, relative XPath expressions are on applicability of content extraction methods in real world Web average significantly more robust than absolute XPath ones. -
Stupeflask Documentation
Stupeflask Documentation Numberly Jan 20, 2020 Contents 1 Install 3 2 Comparison 5 3 Tests 7 4 License 9 5 Documentation 11 5.1 Better application defaults........................................ 11 5.2 Easier collection of configuration values................................. 13 5.3 Native ObjectId support......................................... 13 5.4 API Reference.............................................. 14 5.5 Cursor support.............................................. 18 6 Indices and tables 19 Python Module Index 21 Index 23 i ii Stupeflask Documentation a.k.a. « Flask on steroids » An opinionated Flask extension designed by and for web developers to reduce boilerplate code when working with Marshmallow, MongoDB and/or JSON. Documentation: https://flask-stupe.readthedocs.io • Return any object type in views, and it will be coerced to a flask.Response • Validate payloads through Marshmallow schemas • Easily add JSON converters for any custom type • Fetch all the blueprints from a whole module in one line • Native ObjectId support for both Flask and Marshmallow • Powerful configuration management • Decorators to handle authentication, permissions, and pagination • 100% coverage and no dependency Contents 1 Stupeflask Documentation 2 Contents CHAPTER 1 Install $ pip install flask-stupe 3 Stupeflask Documentation 4 Chapter 1. Install CHAPTER 2 Comparison Here is a comparison of a bare Flask application and its equivalent Stupeflask version. They both rely on MongoDB, handle input and output in JSON, and allow to create a user and retrieve -
Advanced JSON Handling in Go 19:40 05 Mar 2020 Jonathan Hall Devops Evangelist / Go Developer / Clean Coder / Salsa Dancer About Me
Advanced JSON handling in Go 19:40 05 Mar 2020 Jonathan Hall DevOps Evangelist / Go Developer / Clean Coder / Salsa Dancer About me Open Source contributor; CouchDB PMC, author of Kivik Core Tech Lead for Lana Former eCommerce Dev Manager at Bugaboo Former backend developer at Teamwork.com Former backend developer at Booking.com Former tech lead at eFolder/DoubleCheck 2 Show of hands Who has... ...used JSON in a Go program? ...been frustrated by Go's strict typing when dealing with JSON? ...felt limited by Go's standard JSON handling? What have been your biggest frustrations? 3 Today's Topics Very brief intro to JSON in Go Basic use of maps and structs Handling inputs of unknown type Handling data with some unknown fields 4 A brief intro to JSON JavaScript Object Notation, defined by RFC 8259 Human-readable, textual representation of arbitrary data Limted types: null, Number, String, Boolean, Array, Object Broad applications: Config files, data interchange, simple messaging 5 Alternatives to JSON YAML, TOML, INI BSON, MessagePack, CBOR, Smile XML ProtoBuf Custom/proprietary formats Many principles discussed in this presentation apply to any of the above formats. 6 Marshaling JSON Creating JSON from a Go object is (usually) very straight forward: func main() { x := map[string]string{ "foo": "bar", } data, _ := json.Marshal(x) fmt.Println(string(data)) } Run 7 Marshaling JSON, #2 Creating JSON from a Go object is (usually) very straight forward: func main() { type person struct { Name string `json:"name"` Age int `json:"age"` Description string `json:"descr,omitempty"` secret string // Unexported fields are never (un)marshaled } x := person{ Name: "Bob", Age: 32, secret: "Shhh!", } data, _ := json.Marshal(x) fmt.Println(string(data)) } Run 8 Unmarshaling JSON Unmarshaling JSON is often a bit trickier. -
JSON As an XML Alternative
JSON The Fat-Free Alternative to XML { “Lecture”: 27, “Course”: “CSC375”, “Days”: ”TTh", “Instructor”: “Haidar Harmanani” } JSON as an XML Alternative • JSON is a light-weight alternative to XML for data- interchange • JSON = JavaScript Object Notation – It’s really language independent – most programming languages can easily read it and instantiate objects or some other data structure • Defined in RFC 4627 • Started gaining tracking ~2006 and now widely used • http://json.org/ has more information JSON as an XML Alternative • What is JSON? – JSON is language independent – JSON is "self-describing" and easy to understand – *JSON uses JavaScript syntax for describing data objects, but JSON is still language and platform independent. JSON parsers and JSON libraries exists for many different programming languages. • JSON -Evaluates to JavaScript Objects – The JSON text format is syntactically identical to the code for creating JavaScript objects. – Because of this similarity, instead of using a parser, a JavaScript program can use the built-in eval() function and execute JSON data to produce native JavaScript objects. Example {"firstName": "John", l This is a JSON object "lastName" : "Smith", "age" : 25, with five key-value pairs "address" : l Objects are wrapped by {"streetAdr” : "21 2nd Street", curly braces "city" : "New York", "state" : "NY", l There are no object IDs ”zip" : "10021"}, l Keys are strings "phoneNumber": l Values are numbers, [{"type" : "home", "number": "212 555-1234"}, strings, objects or {"type" : "fax", arrays "number” : "646 555-4567"}] l Aarrays are wrapped by } square brackets The BNF is simple When to use JSON? • SOAP is a protocol specification for exchanging structured information in the implementation of Web Services.