What the Adoption of Schema.Org Tells About Linked Open Data
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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. -
Introduction to Linked Data and Its Lifecycle on the Web
Introduction to Linked Data and its Lifecycle on the Web Sören Auer, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Amrapali Zaveri AKSW, Institut für Informatik, Universität Leipzig, Pf 100920, 04009 Leipzig {lastname}@informatik.uni-leipzig.de http://aksw.org Abstract. With Linked Data, a very pragmatic approach towards achieving the vision of the Semantic Web has gained some traction in the last years. The term Linked Data refers to a set of best practices for publishing and interlinking struc- tured data on the Web. While many standards, methods and technologies devel- oped within by the Semantic Web community are applicable for Linked Data, there are also a number of specific characteristics of Linked Data, which have to be considered. In this article we introduce the main concepts of Linked Data. We present an overview of the Linked Data lifecycle and discuss individual ap- proaches as well as the state-of-the-art with regard to extraction, authoring, link- ing, enrichment as well as quality of Linked Data. We conclude the chapter with a discussion of issues, limitations and further research and development challenges of Linked Data. This article is an updated version of a similar lecture given at Reasoning Web Summer School 2011. 1 Introduction One of the biggest challenges in the area of intelligent information management is the exploitation of the Web as a platform for data and information integration as well as for search and querying. Just as we publish unstructured textual information on the Web as HTML pages and search such information by using keyword-based search engines, we are already able to easily publish structured information, reliably interlink this informa- tion with other data published on the Web and search the resulting data space by using more expressive querying beyond simple keyword searches. -
Linked Data Services for Internet of Things
International Conference on Recent Advances in Computer Systems (RACS 2015) Linked Data Services for Internet of Things Jaroslav Pullmann, Dr. Yehya Mohamad User-Centered Ubiquitous Computing department Fraunhofer Institute for Applied Information Technology FIT Sankt Augustin, Germany {jaroslav.pullmann, yehya.mohamad}@fit.fraunhofer.de Abstract — In this paper we present the open source “LinkSmart Resource Framework” allowing developers to II. LINKSMART RESOURCE FRAMEWORK incorporate heterogeneous data sources and physical devices through a generic service facade independent of the data model, A. Rationale persistence technology or access protocol. We particularly consi- The Java Data Objects standard [2] specifies an interface to der the integration and maintenance of Linked Data, a widely persist Java objects in a technology agnostic way. The related accepted means for expressing highly-structured, machine reada- ble (meta)data graphs. Thanks to its uniform, technology- Java Persistence specification [3] concentrates on object-rela- agnostic view on data, the framework is expected to increase the tional mapping only. We consider both specifications techno- ease-of-use, maintainability and usability of software relying on logy-driven, overly detailed with regards to common data ma- it. The development of various technologies to access, interact nagement tasks, while missing some important high-level with and manage data has led to rise of parallel communities functionality. The rationale underlying the LinkSmart Resour- often unaware of alternatives beyond their technology bounda- ce Platform is to define a generic, uniform interface for ries. Systems for object-relational mapping, NoSQL document or management, retrieval and processing of data while graph-based Linked Data storage usually exhibit complex, maintaining a technology and implementation agnostic facade. -
Nuno Crato Paolo Paruolo Editors How Access to Microdata
Nuno Crato Paolo Paruolo Editors Data-Driven Policy Impact Evaluation How Access to Microdata is Transforming Policy Design Data-Driven Policy Impact Evaluation Nuno Crato • Paolo Paruolo Editors Data-Driven Policy Impact Evaluation How Access to Microdata is Transforming Policy Design Editors Nuno Crato Paolo Paruolo University of Lisbon Joint Research Centre Lisbon, Portugal Ispra, Italy ISBN 978-3-319-78460-1 ISBN 978-3-319-78461-8 (eBook) https://doi.org/10.1007/978-3-319-78461-8 Library of Congress Control Number: 2018954896 © The Editor(s) (if applicable) and The Author(s) 2019. This book is an open access publication. Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 Inter- national License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. -
Using Shape Expressions (Shex) to Share RDF Data Models and to Guide Curation with Rigorous Validation B Katherine Thornton1( ), Harold Solbrig2, Gregory S
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Repositorio Institucional de la Universidad de Oviedo Using Shape Expressions (ShEx) to Share RDF Data Models and to Guide Curation with Rigorous Validation B Katherine Thornton1( ), Harold Solbrig2, Gregory S. Stupp3, Jose Emilio Labra Gayo4, Daniel Mietchen5, Eric Prud’hommeaux6, and Andra Waagmeester7 1 Yale University, New Haven, CT, USA [email protected] 2 Johns Hopkins University, Baltimore, MD, USA [email protected] 3 The Scripps Research Institute, San Diego, CA, USA [email protected] 4 University of Oviedo, Oviedo, Spain [email protected] 5 Data Science Institute, University of Virginia, Charlottesville, VA, USA [email protected] 6 World Wide Web Consortium (W3C), MIT, Cambridge, MA, USA [email protected] 7 Micelio, Antwerpen, Belgium [email protected] Abstract. We discuss Shape Expressions (ShEx), a concise, formal, modeling and validation language for RDF structures. For instance, a Shape Expression could prescribe that subjects in a given RDF graph that fall into the shape “Paper” are expected to have a section called “Abstract”, and any ShEx implementation can confirm whether that is indeed the case for all such subjects within a given graph or subgraph. There are currently five actively maintained ShEx implementations. We discuss how we use the JavaScript, Scala and Python implementa- tions in RDF data validation workflows in distinct, applied contexts. We present examples of how ShEx can be used to model and validate data from two different sources, the domain-specific Fast Healthcare Interop- erability Resources (FHIR) and the domain-generic Wikidata knowledge base, which is the linked database built and maintained by the Wikimedia Foundation as a sister project to Wikipedia. -
Metadata and Microdata Curation and Dissemination Protocol
METADATA AND MICRODATA CURATION AND DISSEMINATION PROTOCOL 2 Contents Acknowledgements ............................................................................................................................... 5 1. Background, concepts, and definitions ............................................................................................... 6 1.1 Background ........................................................................................................................ 6 2. Metadata standards ........................................................................................................................... 8 2.1 What is metadata? ............................................................................................................. 8 2.2 The Data Documentation Initiative (DDI) ............................................................................. 9 2.2.1 Benefits of DDI ............................................................................................................ 9 2.2.2 DDI Structure (version 2.5) ......................................................................................... 10 2.3 Acquisition of metadata .................................................................................................... 11 2.3.1 Receiving metadata through the data deposit system.................................................. 11 2.3.2 Harvesting metadata from external sources ................................................................ 11 2.4 Metadata required for the FAM catalogue -
Linked Data Vs Schema.Org: a Town Hall Debate About the Future of Information
Linked Data vs Schema.org: A Town Hall Debate about the Future of Information Schema.org Resources Schema.org Microdata Creation and Analysis Tools Schema.org Google Structured Data Testing Tool http://schema.org/docs/full.html http://www.google.com/webmasters/tools/richsnippets The entire hierarchy in one file. Microdata Parser Schema.org FAQ http://tools.seomoves.org/microdata http://schema.org/docs/faq.html This tool parses HTML5 microdata on a web page and displays the results in a graphical view. You can see the full details of each microdata type by clicking on it. Getting Started with Schema.org http://schema.org/docs/gs.html Drupal module Includes information about how to mark up your content http://drupal.org/project/schemaorg using microdata, using the schema.org vocabulary, and advanced topics. A drop-in solution to enable the collections of schemas available at schema.org on your Drupal 7 site. Micro Data & Schema.org: Guide To Generating Rich Snippets Wordpress plugins http://seogadget.com/micro-data-schema-org-guide-to- http://wordpress.org/extend/plugins/tags/schemaorg generating-rich-snippets A list of Wordpress plugins that allow you to easily insert A very comprehensive guide that includes an schema.org microdata on your site. introduction, a section on integrating microdata (use cases) schema.org, and a section on tools and useful Microdata generator resources. http://www.microdatagenerator.com A simple generator that allows you to input basic HTML5 Microdata and Schema.org information and have that info converted into the http://journal.code4lib.org/articles/6400 standard schema.org markup structure. -
FAIR Linked Data
FAIR Linked Data - Towards a Linked Data backbone for users and machines Johannes Frey Sebastian Hellmann [email protected] Knowledge Integration and Linked Data Technologies (KILT/AKSW) & DBpedia Association InfAI, Leipzig University Leipzig, Germany ABSTRACT scientific and open data. While the principles became widely ac- Although many FAIR principles could be fulfilled by 5-star Linked cepted and popular, they lack technical details and clear, measurable Open Data, the successful realization of FAIR poses a multitude criteria. of challenges. FAIR publishing and retrieval of Linked Data is still Three years ago a dedicated European Commission Expert Group rather a FAIRytale than reality, for users and machines. In this released an action plan for "turning FAIR into reality" [1] empha- paper, we give an overview on four major approaches that tackle sizing the need for defining "FAIR for implementation". individual challenges of FAIR data and present our vision of a FAIR In this paper, we argue that Linked Data as a technology in Linked Data backbone. We propose 1) DBpedia Databus - a flex- combination with the Linked Open Data movement and ontologies ible, heavily automatizable dataset management and publishing can be seen as one of the most promising approaches for managing platform based on DataID metadata; that is extended by 2) the scholarly metadata as well as representing and connecting research novel Databus Mods architecture which allows for flexible, uni- results (RDF knowledge graphs) across the web. Although many fied, community-specific metadata extensions and (search) overlay FAIR principles could be fulfilled by 5-star Linked Open Data [5], systems; 3) DBpedia Archivo an archiving solution for unified han- the successful realization of FAIR principles for the Web of Data in dling and improvement of FAIRness for ontologies on publisher and its current state is a FAIRytale. -
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. -
Linked Data Search and Browse Application
IT 17 019 Examensarbete 30 hp Maj 2017 Linked Data Search and Browse Application Chao Cai Fatemeh Shirazi Nasab Institutionen för informationsteknologi Department of Information Technology Abstract Linked Data Search and Browse Application Chao Cai and Fatemeh Shirazi Nasab Teknisk- naturvetenskaplig fakultet UTH-enheten In order to achieve the ISO 26262 standard on the perspective of requirements traceability, a huge volume of data has been converted into RDF format, and been Besöksadress: stored in a Triple store. The need to have a web application to search and browse Ångströmlaboratoriet Lägerhyddsvägen 1 that RDF data has been raised. In order to build this application, several open- Hus 4, Plan 0 source components such as Apache Solr, Apache Jena, Fuseki and Technologies such as Java, HTML, CSS, and Javascript have been used. The application has Postadress: been evaluated with SUS method, an industry standard and reliable tool for Box 536 751 21 Uppsala measuring the system usability, by six engineers from Scania, the evaluation result in general is positive, five out of six participants successfully retrieved their desired Telefon: search results. 018 – 471 30 03 Telefax: Keyword: ISO 26262, Traceability, Triple store, Web application 018 – 471 30 00 Hemsida: http://www.teknat.uu.se/student Handledare: Mattias Nyberg Ämnesgranskare: Tore Risch Examinator: Mats Daniels IT 17 019 Tryckt av: Reprocentralen ITC Acknowledgement We wish to extend our deepest gratitude to our advisors, Dr. Mat- tias Nyberg and Dr. Tore Risch, for their thoughtful guidance throughout our master thesis. We appreciate many fruitful discus- sions and helpful advice from the members of the Scania RESA group. -
Effective and Efficient Online Communication the Channel Model
Effective and Efficient Online Communication The Channel Model Anna Fensel, Dieter Fensel, Birgit Leiter and Andreas Thalhammer Semantic Technology Institute (STI) Innsbruck, University of Innsbruck, Technikerstraße 21a, A-6020 Innsbruck, Austria Keywords: Social Media, Web 2.0, Semantic Web, Dissemination, Communication, Knowledge Management. Abstract: We discuss the challenge of scalable dissemination approach in a world where the number of communication channels and interaction possibilities is growing exponentially, particularly on the Web, Web 2.0, and semantic channels. Our goal is to enable smaller organizations to fully exploit this potential. We have developed a new methodology based on distinguishing and explicitly interweaving content and communication as a central means for achieving content reusability and thereby scalability over various, heterogeneous channels. Here, we present in detail the communication channel model of our approach. 1 INTRODUCTION the town's website, and obviously a Facebook site is a must (with a booking engine included). Bookings Fax, phone, and later the Internet, have radically through mobile platforms are significantly changed our communication possibilities. More and increasing and the hotelier would want to be found more communication has been freed from the there too. Why not add a video about the hotel on geographical barriers that formerly limited their YouTube, a chat channel for instant communication, speed and expansion. Now, it is (in principle) fast email and fax response capabilities, the old- possible to instantly communicate with a large fashioned telephone, and occasional tweets and portion of the entire human population. emails that are clearly distinguishable from spam? Nevertheless, new means also generate new Preferably, the communication should be multi- challenges.