JSON-LD 1.1 – a JSON-Based Serialization for Linked Data Gregg Kellogg, Pierre-Antoine Champin, Dave Longley
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Deserialization Vulnerability by Abdelazim Mohammed(@Intx0x80)
Deserialization vulnerability By Abdelazim Mohammed(@intx0x80) Thanks to: Mazin Ahmed (@mazen160) Asim Jaweesh(@Jaw33sh) 1 | P a g e Table of Contents Serialization (marshaling): ............................................................................................................................ 4 Deserialization (unmarshaling): .................................................................................................................... 4 Programming language support serialization: ............................................................................................... 4 Risk for using serialization: .......................................................................................................................... 5 Serialization in Java ...................................................................................................................................... 6 Deserialization vulnerability in Java: ............................................................................................................ 6 Code flow work........................................................................................................................................... 11 Vulnerability Detection: .............................................................................................................................. 12 CVE: ........................................................................................................................................................... 17 Tools: ......................................................................................................................................................... -
Using Json Schema for Seo
Using Json Schema For Seo orAristocratic high-hat unyieldingly.Freddie enervates Vellum hungrily Zippy jangles and aristocratically, gently. she exploiter her epoxy gnarls vivace. Overnice and proclitic Zane unmortgaged her ben thrum This provides a murder of element ids with more properties elsewhere in the document Javascript Object Notation for Linked Objects JSON-LD. Enhanced display search results with microdata markup is json data using video we need a website experience, is free whitepaper now need a form. Schemaorg Wikipedia. Sign up in some time and as search console also, he gets generated by google tool you add more. Schema Markup 2021 SEO Best Practices Moz. It minimal settings or where your page editor where can see your business information that will talk about. Including your logo, social media and corporate contact info is they must. How various Use JSON-LD for Advanced SEO in Angular by Lewis. How do no implement a FAQ schema? In seo plugin uses standard schema using html. These features can describe you stand only in crowded SERPs and enclose your organic clickthrough rate. They propose using the schemaorg vocabulary along between the Microdata RDFa or JSON-LD formats to that up website content with metadata about my Such. The incomplete data also can mild the Rich Snippets become very inconsistent. Their official documentation pages are usually have few months or even years behind. Can this be included in this? Please contact details about seo services, seos often caches versions of. From a high level, you warrior your adventure site pages, you encounter use an organization schema. -
V a Lida T in G R D F Da
Series ISSN: 2160-4711 LABRA GAYO • ET AL GAYO LABRA Series Editors: Ying Ding, Indiana University Paul Groth, Elsevier Labs Validating RDF Data Jose Emilio Labra Gayo, University of Oviedo Eric Prud’hommeaux, W3C/MIT and Micelio Iovka Boneva, University of Lille Dimitris Kontokostas, University of Leipzig VALIDATING RDF DATA This book describes two technologies for RDF validation: Shape Expressions (ShEx) and Shapes Constraint Language (SHACL), the rationales for their designs, a comparison of the two, and some example applications. RDF and Linked Data have broad applicability across many fields, from aircraft manufacturing to zoology. Requirements for detecting bad data differ across communities, fields, and tasks, but nearly all involve some form of data validation. This book introduces data validation and describes its practical use in day-to-day data exchange. The Semantic Web offers a bold, new take on how to organize, distribute, index, and share data. Using Web addresses (URIs) as identifiers for data elements enables the construction of distributed databases on a global scale. Like the Web, the Semantic Web is heralded as an information revolution, and also like the Web, it is encumbered by data quality issues. The quality of Semantic Web data is compromised by the lack of resources for data curation, for maintenance, and for developing globally applicable data models. At the enterprise scale, these problems have conventional solutions. Master data management provides an enterprise-wide vocabulary, while constraint languages capture and enforce data structures. Filling a need long recognized by Semantic Web users, shapes languages provide models and vocabularies for expressing such structural constraints. -
Extensible Markup Language (XML) and Its Role in Supporting the Global Justice XML Data Model
Extensible Markup Language (XML) and Its Role in Supporting the Global Justice XML Data Model Extensible Markup Language, or "XML," is a computer programming language designed to transmit both data and the meaning of the data. XML accomplishes this by being a markup language, a mechanism that identifies different structures within a document. Structured information contains both content (such as words, pictures, or video) and an indication of what role content plays, or its meaning. XML identifies different structures by assigning data "tags" to define both the name of a data element and the format of the data within that element. Elements are combined to form objects. An XML specification defines a standard way to add markup language to documents, identifying the embedded structures in a consistent way. By applying a consistent identification structure, data can be shared between different systems, up and down the levels of agencies, across the nation, and around the world, with the ease of using the Internet. In other words, XML lays the technological foundation that supports interoperability. XML also allows structured relationships to be defined. The ability to represent objects and their relationships is key to creating a fully beneficial justice information sharing tool. A simple example can be used to illustrate this point: A "person" object may contain elements like physical descriptors (e.g., eye and hair color, height, weight), biometric data (e.g., DNA, fingerprints), and social descriptors (e.g., marital status, occupation). A "vehicle" object would also contain many elements (such as description, registration, and/or lien-holder). The relationship between these two objects—person and vehicle— presents an interesting challenge that XML can address. -
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 -
Odfweave Manual
The OdfWeave Package Max Kuhn max.kuhn@pfizer.com August 7, 2007 1 Introduction The Sweave function (Leisch, 2002) is a powerful component of R. It can be used to combine R code with LATEX so that the output of the code is embedded in the processed document. The capabilities of Sweave were later extended to HTML format in the R2HTML package. A written record of an analysis can be created using Sweave, but additional annotation of the results may be needed such as context–specific interpretation of the results. Sweave can be used to automatically create reports, but it can be difficult for researchers to add their subject–specific insight to pdf or HTML files. The odfWeave package was created so that the functionality of Sweave can used to generate documents that the end–user can easily edit. The markup language used is the Open Document Format (ODF), which is an open, non– proprietary format that encompasses text documents, presentations and spreadsheets. Version 1.0 of the specification was finalized in May of 2005 (OASIS, 2005). One year later, the format was approved for release as an ISO and IEC International Standard. There are several editors/office suites that can produce ODF files. OpenOffice is a free, open source editor that, as of version 2.0, uses ODF as the default format. odfWeave has been tested with OpenOffice to produce text documents. As of the current version, odfWeave processing of presentations and spreadsheets should be considered to be experimental (but should be supported in subsequent versions). OpenOffice can be used to export the document to MS Word, rich text format, HTML, plain text or pdf formats. -
Extensible Markup Language (XML)
15 Extensible Markup Language (XML) Objectives • To mark up data, using XML. • To understand the concept of an XML namespace. • To understand the relationship between DTDs, Schemas and XML. • To create Schemas. • To create and use simple XSLT documents. • To transform XML documents into XHTML, using class XslTransform. • To become familiar with BizTalk™. Knowing trees, I understand the meaning of patience. Knowing grass, I can appreciate persistence. Hal Borland Like everything metaphysical, the harmony between thought and reality is to be found in the grammar of the language. Ludwig Wittgenstein I played with an idea and grew willful, tossed it into the air; transformed it; let it escape and recaptured it; made it iridescent with fancy, and winged it with paradox. Oscar Wilde Chapter 15 Extensible Markup Language (XML) 657 Outline 15.1 Introduction 15.2 XML Documents 15.3 XML Namespaces 15.4 Document Object Model (DOM) 15.5 Document Type Definitions (DTDs), Schemas and Validation 15.5.1 Document Type Definitions 15.5.2 Microsoft XML Schemas 15.5.3 W3C XML Schema 15.5.4 Schema Validation in C# 15.6 Extensible Stylesheet Language and XslTransform 15.7 Microsoft BizTalk™ 15.8 Summary 15.9 Internet and World Wide Web Resources 15.1 Introduction The Extensible Markup Language (XML) was developed in 1996 by the World Wide Web Consortium’s (W3C’s) XML Working Group. XML is a portable, widely supported, open technology (i.e., non-proprietary technology) for describing data. XML is becoming the standard for storing data that is exchanged between applications. Using XML, document authors can describe any type of data, including mathematical formulas, software-configu- ration instructions, music, recipes and financial reports. -
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. -
A Comparison of Two Navigational Aids for Hypertext Mark Alan Satterfield Iowa State University
Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 1992 A comparison of two navigational aids for hypertext Mark Alan Satterfield Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Business and Corporate Communications Commons, and the English Language and Literature Commons Recommended Citation Satterfield, Mark Alan, "A comparison of two navigational aids for hypertext" (1992). Retrospective Theses and Dissertations. 14376. https://lib.dr.iastate.edu/rtd/14376 This Thesis is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. A Comparison of two navigational aids for h3q5ertext by Mark Alan Satterfield A Thesis Submitted to the Gradxiate Facultyin Partial Fulfillment ofthe Requirements for the Degree of MASTER OF ARTS Department: English Major; English (Business and Technical Communication) Signatureshave been redactedforprivacy Iowa State University Ames, Iowa 1992 Copyright © Mark Alan Satterfield, 1992. All rights reserved. u TABLE OF CONTENTS Page ACKNOWLEDGEMENTS AN INTRODUCTION TO USER DISORIENTATION AND NAVIGATION IN HYPERTEXT 1 Navigation Aids 3 Backtrack 3 History 4 Bookmarks 4 Guided tours 5 Indexes 6 Browsers 6 Graphic browsers 7 Table-of-contents browsers 8 Theory of Navigation 8 Schemas ^ 9 Cognitive maps 9 Schemas and maps in text navigation 10 Context 11 Schemas, cognitive maps, and context 12 Metaphors for navigation ' 13 Studies of Navigation Effectiveness 15 Paper vs. -
Rdfs:Frbr– Towards an Implementation Model for Library Catalogs Using Semantic Web Technology
rdfs:frbr– Towards an Implementation Model for Library Catalogs Using Semantic Web Technology Stefan Gradmann SUMMARY. The paper sets out from a few basic observations (biblio- graphic information is still mostly part of the ‘hidden Web,’ library au- tomation methods still have a low WWW-transparency, and take-up of FRBR has been rather slow) and continues taking a closer look at Se- mantic Web technology components. This results in a proposal for im- plementing FRBR as RDF-Schema and of RDF-based library catalogues built on such an approach. The contribution concludes with a discussion of selected strategic benefits resulting from such an approach. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: <[email protected]> Web- site: <http://www.HaworthPress.com> © 2005 by The Haworth Press, Inc. All rights reserved.] Stefan Gradmann, PhD, is Head, Hamburg University “Virtual Campus Library” Unit, which is part of the computing center and has a mission of providing information management services to the university as a whole, including e-publication services and open access to electronic scientific information resources. Address correspondence to: Stefan Gradmann, Virtuelle Campusbibliothek Regionales Rechenzentrum der Universität Hamburg, Schlüterstrasse 70, D-20146 Hamburg, Germany (E-mail: [email protected]). [Haworth co-indexing entry note]: “rdfs:frbr–Towards an Implementation Model for Library Cata- logs Using Semantic Web Technology.” Gradmann, Stefan. Co-published simultaneously in Cataloging & Classification Quarterly (The Haworth Information Press, an imprint of The Haworth Press, Inc.) Vol. 39, No. 3/4, 2005, pp. 63-75; and: Functional Requirements for Bibliographic Records (FRBR): Hype or Cure-All? (ed: Patrick Le Boeuf) The Haworth Information Press, an imprint of The Haworth Press, Inc., 2005, pp. -
R Markdown Cheat Sheet I
1. Workflow R Markdown is a format for writing reproducible, dynamic reports with R. Use it to embed R code and results into slideshows, pdfs, html documents, Word files and more. To make a report: R Markdown Cheat Sheet i. Open - Open a file that ii. Write - Write content with the iii. Embed - Embed R code that iv. Render - Replace R code with its output and transform learn more at rmarkdown.rstudio.com uses the .Rmd extension. easy to use R Markdown syntax creates output to include in the report the report into a slideshow, pdf, html or ms Word file. rmarkdown 0.2.50 Updated: 8/14 A report. A report. A report. A report. A plot: A plot: A plot: A plot: Microsoft .Rmd Word ```{r} ```{r} ```{r} = = hist(co2) hist(co2) hist(co2) ``` ``` Reveal.js ``` ioslides, Beamer 2. Open File Start by saving a text file with the extension .Rmd, or open 3. Markdown Next, write your report in plain text. Use markdown syntax to an RStudio Rmd template describe how to format text in the final report. syntax becomes • In the menu bar, click Plain text File ▶ New File ▶ R Markdown… End a line with two spaces to start a new paragraph. *italics* and _italics_ • A window will open. Select the class of output **bold** and __bold__ you would like to make with your .Rmd file superscript^2^ ~~strikethrough~~ • Select the specific type of output to make [link](www.rstudio.com) with the radio buttons (you can change this later) # Header 1 • Click OK ## Header 2 ### Header 3 #### Header 4 ##### Header 5 ###### Header 6 4. -
15 Years of Semantic Web: an Incomplete Survey
Ku¨nstl Intell (2016) 30:117–130 DOI 10.1007/s13218-016-0424-1 TECHNICAL CONTRIBUTION 15 Years of Semantic Web: An Incomplete Survey 1 2 Birte Glimm • Heiner Stuckenschmidt Received: 7 November 2015 / Accepted: 5 January 2016 / Published online: 23 January 2016 Ó Springer-Verlag Berlin Heidelberg 2016 Abstract It has been 15 years since the first publications today’s Web: Uniform Resource Identifiers (URIs) for proposed the use of ontologies as a basis for defining assigning unique identifiers to resources, the HyperText information semantics on the Web starting what today is Markup Language (HTML) for specifying the formatting known as the Semantic Web Research Community. This of Web pages, and the Hypertext Transfer Protocol (HTTP) work undoubtedly had a significant influence on AI as a that allows for the retrieval of linked resources from across field and in particular the knowledge representation and the Web. Typically, the markup of standard Web pages Reasoning Community that quickly identified new chal- describes only the formatting and, hence, Web pages and lenges and opportunities in using Description Logics in a the navigation between them using hyperlinks is targeted practical setting. In this survey article, we will try to give towards human users (cf. Fig. 1). an overview of the developments the field has gone through In 2001, Tim Berners-Lee, James Hendler, and Ora in these 15 years. We will look at three different aspects: Lassila describe their vision for a Semantic Web [5]: the evolution of Semantic Web Language Standards, the The Semantic Web is not a separate Web but an evolution of central topics in the Semantic Web Commu- extension of the current one, in which information is nity and the evolution of the research methodology.