Using Rdfa to Link Text and Dictionary Data for Medieval French
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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. -
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. -
Rdfa How and Why
RDFa How and Why Ralph R. Swick World Wide Web Consortium 22 January 2010 2 A Web of Information The current Web represents information using natural language graphics, multimedia, page layout Humans can process this easily can deduce facts from partial information can create mental associations can deal with a variety of media (see Web accessibility guidelines) 3 Data in HTML Documents 4 Data Exposed with MarkUp microformats http://microformats.org/ 9+ sets of terms and relations (formats): hCalendar, hCard, rel-license, rel-nofollow, rel-tag, VoteLinks, XFN, XMDP, XOXO each of the formats has a custom interpreter semi-formal community agreement process for creating new formats (terms and relations) extensible only through community agreement 5 Special-purpose “smart” portals Various types of “portals” are created (for a journal on-line, for a specific area of knowledge, for specific communities, etc) The portals may: integrate many data sources may have access to specialized domain knowledge Goal is to provide a better local access, search on the integrated data, reveal new relationships among the data 6 A Web of Linked Data Encourage all data to be published in machine- useable formats Any data see, e.g. data.gov.uk The LOD “cloud”, July 2009 7 credit: Richard Cyganiak, LOD cloud 8 Extensible Structured Data RDF - Resource Description Framework 3 syntaxes: RDF/XML, RDFa, RDF/N3* A data modeling framework that takes full advantage of the Web Self-describing data Objects, terms, and relations are all identified using URIs Publish any data by publishing definitions of your terms and relations * only RDF/XML and RDFa are W3C Recommendations at this time 9 Semantic Web data integration 1. -
The Resource Description Framework and Its Schema Fabien Gandon, Reto Krummenacher, Sung-Kook Han, Ioan Toma
The Resource Description Framework and its Schema Fabien Gandon, Reto Krummenacher, Sung-Kook Han, Ioan Toma To cite this version: Fabien Gandon, Reto Krummenacher, Sung-Kook Han, Ioan Toma. The Resource Description Frame- work and its Schema. Handbook of Semantic Web Technologies, 2011, 978-3-540-92912-3. hal- 01171045 HAL Id: hal-01171045 https://hal.inria.fr/hal-01171045 Submitted on 2 Jul 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. The Resource Description Framework and its Schema Fabien L. Gandon, INRIA Sophia Antipolis Reto Krummenacher, STI Innsbruck Sung-Kook Han, STI Innsbruck Ioan Toma, STI Innsbruck 1. Abstract RDF is a framework to publish statements on the web about anything. It allows anyone to describe resources, in particular Web resources, such as the author, creation date, subject, and copyright of an image. Any information portal or data-based web site can be interested in using the graph model of RDF to open its silos of data about persons, documents, events, products, services, places etc. RDF reuses the web approach to identify resources (URI) and to allow one to explicitly represent any relationship between two resources. -
JSON-LD 1.1 – a JSON-Based Serialization for Linked Data Gregg Kellogg, Pierre-Antoine Champin, Dave Longley
JSON-LD 1.1 – A JSON-based Serialization for Linked Data Gregg Kellogg, Pierre-Antoine Champin, Dave Longley To cite this version: Gregg Kellogg, Pierre-Antoine Champin, Dave Longley. JSON-LD 1.1 – A JSON-based Serialization for Linked Data. [Technical Report] W3C. 2019. hal-02141614v2 HAL Id: hal-02141614 https://hal.archives-ouvertes.fr/hal-02141614v2 Submitted on 28 Jan 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. https://www.w3.org/TR/json-ld11/ JSON-LD 1.1 A JSON-based Serialization for Linked Data W3C Candidate Recommendation 12 December 2019 This version: https://www.w3.org/TR/2019/CR-json-ld11-20191212/ Latest published version: https://www.w3.org/TR/json-ld11/ Latest editor's draft: https://w3c.github.io/json-ld-syntax/ Test suite: https://w3c.github.io/json-ld-api/tests/ Implementation report: https://w3c.github.io/json-ld-api/reports/ Previous version: https://www.w3.org/TR/2019/WD-json-ld11-20191112/ Latest Recommendation: https://www.w3.org/TR/2014/REC-json-ld-20140116/ Editors: Gregg Kellogg (v1.0 and v1.1) Pierre-Antoine Champin -
Shapeness: a SHACL-Driven RDF Graph Editor
SHAPEness: a SHACL-driven RDF Graph Editor Rossana Pacielloa,c,*, Daniele Bailoa,c, Luca Tranib, Valerio Vinciarellia, Manuela Sbarrac, Lorenzo Fen- oglioc, Sara Capotostic a European Plate Observing System, EPOS-ERIC, Rome, Italy b Department of R&D Seismology and Acoustics, Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA, De Bilt, The Netherlands c Istituto Nazionale di Geofisica e Vulcanologia (INGV), Rome, Italy E-mails: [email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected] Abstract. The Shapes Constraint Language (SHACL) has been recently introduced as a W3C recommendation to define con- straints (called shapes) for validating RDF graphs. In this paper a novel SHACL-driven multi-view editor is presented: SHAPEness. It empowers users by offering them a rich interface for assessing and improving the quality of RDF graphs. SHAPEness has been developed and tested in the framework of the European Plate Observing System (EPOS). In this context, the SHAPEness features have proven to be a valuable solution to easily create and maintain valid graphs according to the EPOS data model. The SHACL-driven approach underpinning SHAPEness, makes this tool suitable for a broad range of do- mains, or use cases, which structure their knowledge by means of SHACL constraints. Keywords: SHACL shapes, RDF validation, knowledge graph quality, graphs visualization, metadata editor. 1. Introduction FAIR principles, metadata can facilitate data ex- change, data findability [14] and data access [5]. Over the past decade, the use of standard semantic Resource Description Framework1 (RDF) is the technologies and linked data principles have become most popular format for exchanging semantic (me- general practice in structuring metadata and related ta)data, structured as dynamic and schemaless graphs. -
Rdfa 1.1 Primer - Second Edition Page 1 of 37
RDFa 1.1 Primer - Second Edition Page 1 of 37 RDFa 1.1 Primer - Second Edition Rich Structured Data Markup for Web Documents W3C Working Group Note 22 August 2013 This version: http://www.w3.org/TR/2013/NOTE-rdfa-primer-20130822/ Latest published version: http://www.w3.org/TR/rdfa-primer/ Previous version: http://www.w3.org/TR/2012/NOTE-rdfa-primer-20120607/ Editors: Ivan Herman, W3C, [email protected] Ben Adida, Creative Commons, [email protected] Manu Sporny, Digital Bazaar, [email protected] Mark Birbeck, webBackPlane.com, [email protected] Please refer to the errata for this document, which may include some normative corrections. Copyright © 2010-2013 W3C®(MIT, ERCIM, Keio, Beihang), All Rights Reserved. W3C liability, trademark and document use rules apply. Abstract The last couple of years have witnessed a fascinating evolution: while the Web was initially built predominantly for human consumption, web content is increasingly consumed by machines which expect some amount of structured data. Sites have started to identify a page's title, content type, and preview image to provide appropriate information in a user's newsfeed when she clicks the "Like" button. Search engines have started to provide richer search results by extracting fine-grained structured details from the Web pages they crawl. In turn, web publishers are producing increasing amounts of structured data within their Web content to improve their standing with search engines. A key enabling technology behind these developments is the ability to add structured data to HTML pages directly. RDFa (Resource Description Framework in Attributes) is a technique that allows just that: it provides a set of markup attributes to augment the visual information on the Web with machine- readable hints. -
The Webdatacommons Microdata, Rdfa, and Microformat Dataset Series Robert Meusel, Petar Petrovski, and Christian Bizer HTML-Embedded Structured Data on the Web
The WebDataCommons Microdata, RDFa, and Microformat Dataset Series Robert Meusel, Petar Petrovski, and Christian Bizer HTML-embedded Structured Data on the Web More and more websites semantically markup the content of their HTML pages. RDFa Microformats Microdata The WebDataCommons Microdata, RDFa, and Microformats Dataset Series 2 Dataset Creation − Common Crawl Foundation Corpora of 2010, 2012 and 2013 • Snapshot of popular pages of the Web • Continuously new crawls available The WebDataCommons Microdata, RDFa, and Microformats Dataset Series 3 Dataset Creation − Common Crawl Foundation Corpora of 2010, 2012 and 2013 • Snapshot of popular pages of the Web • Continuously new crawls available − Parsing the HTML pages using Apache Any23 • Using a distributed framework on 100 parallel EC2 instances 1. _:node1 <http://www.w3.org/1999/02/22-rdf-syntax- ns#type> <http://schema.org/Product> . 2. _:node1 <http://schema.org/Product/name> "Predator Instinct FG Fu\u00DFballschuh"@de . 3. _:node1 <http://www.w3.org/1999/02/22-rdf-syntax- Any23 ns#type> <http://schema.org/Offer> . 4. _:node1 <http://schema.org/Offer/price> "\u20AC 219,95"@de . 5. _:node1 <http://schema.org/Offer/priceCurrency> "EUR"@de . 6. … The WebDataCommons Microdata, RDFa, and Microformats Dataset Series 4 Dataset Creation − Common Crawl Foundation Corpora of 2010, 2012 and 2013 • Snapshot of popular pages of the Web • Continuously new crawls available − Parsing the HTML pages using Apache Any23 • Using a distributed framework on 100 parallel EC2 instances 1. _:node1 <http://www.w3.org/1999/02/22-rdf-syntax- ns#type> <http://schema.org/Product> . 2. _:node1 <http://schema.org/Product/name> "Predator Instinct FG Fu\u00DFballschuh"@de .