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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. -
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. -
Where Is the Semantic Web? – an Overview of the Use of Embeddable Semantics in Austria
Where Is The Semantic Web? – An Overview of the Use of Embeddable Semantics in Austria Wilhelm Loibl Institute for Service Marketing and Tourism Vienna University of Economics and Business, Austria [email protected] Abstract Improving the results of search engines and enabling new online applications are two of the main aims of the Semantic Web. For a machine to be able to read and interpret semantic information, this content has to be offered online first. With several technologies available the question arises which one to use. Those who want to build the software necessary to interpret the offered data have to know what information is available and in which format. In order to answer these questions, the author analysed the business websites of different Austrian industry sectors as to what semantic information is embedded. Preliminary results show that, although overall usage numbers are still small, certain differences between individual sectors exist. Keywords: semantic web, RDFa, microformats, Austria, industry sectors 1 Introduction As tourism is a very information-intense industry (Werthner & Klein, 1999), especially novel users resort to well-known generic search engines like Google to find travel related information (Mitsche, 2005). Often, these machines do not provide satisfactory search results as their algorithms match a user’s query against the (weighted) terms found in online documents (Berry and Browne, 1999). One solution to this problem lies in “Semantic Searches” (Maedche & Staab, 2002). In order for them to work, web resources must first be annotated with additional metadata describing the content (Davies, Studer & Warren., 2006). Therefore, anyone who wants to provide data online must decide on which technology to use. -
Microformats the Next (Small) Thing on the Semantic Web?
Standards Editor: Jim Whitehead • [email protected] Microformats The Next (Small) Thing on the Semantic Web? Rohit Khare • CommerceNet “Designed for humans first and machines second, microformats are a set of simple, open data formats built upon existing and widely adopted standards.” — Microformats.org hen we speak of the “evolution of the is precisely encoding the great variety of person- Web,” it might actually be more appropri- al, professional, and genealogical relationships W ate to speak of “intelligent design” — we between people and organizations. By contrast, can actually point to a living, breathing, and an accidental challenge is that any blogger with actively involved Creator of the Web. We can even some knowledge of HTML can add microformat consult Tim Berners-Lee’s stated goals for the markup to a text-input form, but uploading an “promised land,” dubbed the Semantic Web. Few external file dedicated to machine-readable use presume we could reach those objectives by ran- remains forbiddingly complex with most blog- domly hacking existing Web standards and hop- ging tools. ing that “natural selection” by authors, software So, although any intelligent designer ought to developers, and readers would ensure powerful be able to rely on the long-established facility of enough abstractions for it. file transfer to publish the “right” model of a social Indeed, the elegant and painstakingly inter- network, the path of least resistance might favor locked edifice of technologies, including RDF, adding one of a handful of fixed tags to an exist- XML, and query languages is now growing pow- ing indirect form — the “blogroll” of hyperlinks to erful enough to attack massive information chal- other people’s sites. -
Data Models for Home Services
__________________________________________PROCEEDING OF THE 13TH CONFERENCE OF FRUCT ASSOCIATION Data Models for Home Services Vadym Kramar, Markku Korhonen, Yury Sergeev Oulu University of Applied Sciences, School of Engineering Raahe, Finland {vadym.kramar, markku.korhonen, yury.sergeev}@oamk.fi Abstract An ultimate penetration of communication technologies allowing web access has enriched a conception of smart homes with new paradigms of home services. Modern home services range far beyond such notions as Home Automation or Use of Internet. The services expose their ubiquitous nature by being integrated into smart environments, and provisioned through a variety of end-user devices. Computational intelligence require a use of knowledge technologies, and within a given domain, such requirement as a compliance with modern web architecture is essential. This is where Semantic Web technologies excel. A given work presents an overview of important terms, vocabularies, and data models that may be utilised in data and knowledge engineering with respect to home services. Index Terms: Context, Data engineering, Data models, Knowledge engineering, Semantic Web, Smart homes, Ubiquitous computing. I. INTRODUCTION In recent years, a use of Semantic Web technologies to build a giant information space has shown certain benefits. Rapid development of Web 3.0 and a use of its principle in web applications is the best evidence of such benefits. A traditional database design in still and will be widely used in web applications. One of the most important reason for that is a vast number of databases developed over years and used in a variety of applications varying from simple web services to enterprise portals. In accordance to Forrester Research though a growing number of document, or knowledge bases, such as NoSQL is not a hype anymore [1]. -
HTML5 Microdata and Schema.Org
HTML5 Microdata and Schema.org journal.code4lib.org/articles/6400 On June 2, 2011, Bing, Google, and Yahoo! announced the joint effort Schema.org. When the big search engines talk, Web site authors listen. This article is an introduction to Microdata and Schema.org. The first section describes what HTML5, Microdata and Schema.org are, and the problems they have been designed to solve. With this foundation in place section 2 provides a practical tutorial of how to use Microdata and Schema.org using a real life example from the cultural heritage sector. Along the way some tools for implementers will also be introduced. Issues with applying these technologies to cultural heritage materials will crop up along with opportunities to improve the situation. By Jason Ronallo Foundation HTML5 The HTML5 standard or (depending on who you ask) the HTML Living Standard has brought a lot of changes to Web authoring. Amongst all the buzz about HTML5 is a new semantic markup syntax called Microdata. HTML elements have semantics. For example, an ol element is an ordered list, and by default gets rendered with numbers for the list items. HTML5 provides new semantic elements like header , nav , article , aside , section and footer that allow more expressiveness for page authors. A bunch of div elements with various class names is no longer the only way to markup this content. These new HTML5 elements enable new tools and better services for the Web ecosystem. Browser plugins can more easily pull out the text of the article for a cleaner reading experience. Search engines can give more weight to the article content rather than the advertising in the sidebar. -
Using Rdfa to Link Text and Dictionary Data for Medieval French
Using RDFa to Link Text and Dictionary Data for Medieval French Sabine Tittel,∗ Helena Bermúdez-Sabel, Christian Chiarcos◦ ∗Heidelberg Academy of Sciences and Humanities, Heidelberg, Germany Laboratorio de Innovación en Humanidades Digitales, UNED, Madrid, Spain ◦Goethe University Frankfurt, Frankfurt am Main, Germany [email protected], [email protected], [email protected] Abstract This paper presents an endeavor to transform a scholarly text edition (of a medical treatise written in Middle French) into a digital edition enriched with references to an on-line dictionary. Hitherto published as a book, the resulting digital edition will use RDFa to interlink its vocabulary with the corresponding lexical entries of the Dictionnaire étymologique de l’ancien français (DEAF). We demonstrate the feasibility of RDFa for the semantic enrichment of digital editions within the philologies. In particular, the technological support for RDFa excels beyond domain-specific solutions favored by the TEI community. Our findings may thus contribute to future technological bridges between TEI/XML and (Linguistic) Linked Open Data resources. The original data of the edition is available in a LATEX format that includes profound semantic markup. We convert this data into XML/TEI, and integrate RDFa-compliant attributes for every lexeme attested in the text. The HTML5 edition generated from the XML sources preserves the RDFa attributes and thus (a) embeds (links) its vocabulary within the overall system of the medieval French language, and that (b) provides and displays linguistic features (say, sense definitions given in the original corpus data) along with the critical apparatus of the original book publication. -
XHTML+Rdfa 1.1 - Third Edition Table of Contents
XHTML+RDFa 1.1 - Third Edition Table of Contents XHTML+RDFa 1.1 - Third Edition Support for RDFa via XHTML Modularization W3C Recommendation 17 March 2015 This version: http://www.w3.org/TR/2015/REC-xhtml-rdfa-20150317/ Latest published version: http://www.w3.org/TR/xhtml-rdfa/ Implementation report: http://www.w3.org/2010/02/rdfa/wiki/CR-ImplementationReport Previous version: http://www.w3.org/TR/2014/PER-xhtml-rdfa-20141216/ Previous Recommendation: http://www.w3.org/TR/2013/REC-xhtml-rdfa-20130822/ Editor: Shane McCarron, Applied Testing and Technology, Inc., [email protected] Please check the errata for any errors or issues reported since publication. This document is also available in these non-normative formats: XHTML+RDFa, Diff from Previous Recommendation, Postscript version, and PDF version The English version of this specification is the only normative version. Non-normative translations may also be available. Copyright © 2007-2015 W3C® (MIT, ERCIM, Keio, Beihang). W3C liability, trademark and document use rules apply. Abstract RDFa Core 1.1 [RDFA-CORE [p.61] ] defines attributes and syntax for embedding semantic markup in Host Languages. This document defines one such Host Language. This language is a superset of XHTML 1.1 [XHTML11-2e [p.61] ], integrating the attributes as defined in RDFa Core 1.1. This document is intended for authors who want to create XHTML Family documents that embed rich semantic markup. - 1 - Status of This Document XHTML+RDFa 1.1 - Third Edition Status of This Document This section describes the status of this document at the time of its publication. -
Rdfa Versus Microformats: Exploring the Potential for Semantic Interoperability of Mash-Up Personal Learning Environments
RDFa versus Microformats: Exploring the Potential for Semantic Interoperability of Mash-up Personal Learning Environments Vladimir Tomberg, Mart Laanpere Tallinn University, Narva mnt. 25, 10120 Tallinn, Estonia [email protected], [email protected] Abstract. This paper addresses the possibilities for increasing semantic interoperability of mash-up learning environments through the use of automatically processed metadata associated with both learning resources and learning process. We analyze and compare potential of two competing technologies for this purpose: microformats and RDFa. 1 Introduction Mash-up Personal Learning Environments have become a fast developing trend in the world of technology-enhanced learning, partly because of their flexibility and lightweight integration features. Although it is quite easy to aggregate the RSS feeds from the blogs of learners, it is more difficult to get an overview of course and its learning activities. A course is not just a syllabus, it also involves various dynamic processes that can be described in many aspects. The course always has certain learning goals, a schedule that consists learning activities (assignments, discussions), registered participants like teachers and students, and different types of resources. It would be useful, if we would be able to extract such information also from mash-up personal learning environments (just like it can be done in traditional Learning Management Systems) and allow exchanging it between the course participants. Today for semantic tagging of Web content in general and learning content as special case various technologies are used. But there are no tools and ways exist for semantic annotation of learning process that takes place in a distributed network of mash-up personal learning environments. -
Proposal of a Standard Vocabulary for Services Discovery on the Internet of Things
Proposal of a Standard Vocabulary for Services Discovery on the Internet of Things Mayka de Souza Lima, Admilson de Ribamar L. Riberio and Edward David Moreno Computing Department, Segipe Federal University, Aracaju, Brazil Keywords: Internet of Things, Web of Things, Vocabulary, Semantic, Mark-up, IoT, Ontology. Abstract: Internet of Things (IoT) is the paradigm that will dominate the computing world in the coming years. Thus, studies should be performed in order to ensure improvements in the search for technologies that can create new standardized semantic vocabularies to find services provided by IoT. The aim of this work is to understand the concepts of vocabularies of ontology as well as technologies that use such semantic vocabularies. Thus, it was concluded that the proposed vocabulary increase the chances of finding the IoT services, integrated with applications that work with many wireless sensor devices. 1 INTRODUCTION standards that are essential; syntactic, determining how metadata should be coded to the information With the exponential growth of web business transfer, using technology employed as the XML investment, the internet has become one of the main (eXtensible Markup Language) language; and existing business channels nowadays. Soon the structural, that specifies how resources are development of technologies to create internet organized, along with the types involved and the access platforms, faster and faster, efficient and possible values for each type (Perera, 2013). cheap generated an unprecedented technological and Therefore, a document or a file where they are social transformation. formally defined the relationships between concepts Connect virtually any device to the Internet in the semantic Web, is called ontology. -
Cyberinfrastructure and Web 2.0
Cyberinfrastructure and Web 2.0 Marlon E. PIERCE, Geoffrey FOXa, b, c, Huapeng YUANa, b, and Yu DENGa,b a Community Grids Laboratory, Indiana University b Department of Computer Science, Indiana University School of Informatics, Indiana University Abstract. We review the emergence of a diverse collection of modern Internet- scale programming approaches, collectively known as Web 2.0, and compare these to the goals of cyberinfrastructure and e-Science. e-Science has had success following the Enterprise development model, which emphasizes sophisticated XML formats, WSDL and SOAP-based Web Services, complex server-side programming tools and models, and qualities of service such as security, reliability, and addressing. Unfortunately, these approaches have limits on deployment and sustainability, as the standards and implementations are difficult to adopt and require developers and support staff with a high degree of specialized expertise. In contrast, Web 2.0 applications have demonstrated that simple approaches such as (mostly) stateless HTTP-based services operating on URLs, simple XML network message formats, and easy to use, high level network programming interfaces can be combined to make very powerful applications. Moreover, these network applications have the very important advantage of enabling “do it yourself” Web application development, which favors general programming knowledge over expertise in specific tools. We may conservatively forecast that the Web 2.0 approach will supplement existing cyberinfrastructure to enable broader