Describing Web Resources in RDF
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												  Using Json Schema for SeoUsing 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.
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												  V a Lida T in G R D F DaSeries 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.
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												  Semantics Developer's GuideMarkLogic 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
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												  Rdfa in XHTML: Syntax and Processing Rdfa in XHTML: Syntax and ProcessingRDFa 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.
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												  Rdfs:Frbr– Towards an Implementation Model for Library Catalogs Using Semantic Web Technologyrdfs: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.
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												  Using Shape Expressions (Shex) to Share RDF Data Models and to Guide Curation with Rigorous Validation B Katherine Thornton1( ), Harold Solbrig2, Gregory SView 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.
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												  15 Years of Semantic Web: an Incomplete SurveyKu¨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.
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												  Where Is the Semantic Web? – an Overview of the Use of Embeddable Semantics in AustriaWhere 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.
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												  An Introduction to RDFAn Introduction to RDF Knowledge Technologies 1 Manolis Koubarakis Acknowledgement • This presentation is based on the excellent RDF primer by the W3C available at http://www.w3.org/TR/rdf-primer/ and http://www.w3.org/2007/02/turtle/primer/ . • Much of the material in this presentation is verbatim from the above Web site. Knowledge Technologies 2 Manolis Koubarakis Presentation Outline • Basic concepts of RDF • Serialization of RDF graphs: XML/RDF and Turtle • Other Features of RDF (Containers, Collections and Reification). Knowledge Technologies 3 Manolis Koubarakis What is RDF? •TheResource Description Framework (RDF) is a data model for representing information (especially metadata) about resources in the Web. • RDF can also be used to represent information about things that can be identified on the Web, even when they cannot be directly retrieved on the Web (e.g., a book or a person). • RDF is intended for situations in which information about Web resources needs to be processed by applications, rather than being only displayed to people. Knowledge Technologies 4 Manolis Koubarakis Some History • RDF draws upon ideas from knowledge representation, artificial intelligence, and data management, including: – Semantic networks –Frames – Conceptual graphs – Logic-based knowledge representation – Relational databases • Shameless self-promotion : The closest to RDF, pre-Web knowledge representation language is Telos: John Mylopoulos, Alexander Borgida, Matthias Jarke, Manolis Koubarakis: Telos: Representing Knowledge About Information Systems. ACM Trans. Inf. Syst. 8(4): 325-362 (1990). Knowledge Technologies 5 Manolis Koubarakis The Semantic Web “Layer Cake” Knowledge Technologies 6 Manolis Koubarakis RDF Basics • RDF is based on the idea of identifying resources using Web identifiers and describing resources in terms of simple properties and property values.
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												  Using Rdfa to Link Text and Dictionary Data for Medieval FrenchUsing 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.
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												  RDF Data Model Towards a Global Knowledge GraphIntroduction to a Web of Linked Data WEEK 2: The RDF Data Model Towards a Global Knowledge Graph Catherine Faron Zucker WEEK 2: The RDF Data Model 1. Describing resources 2. A triple model and a graph model 3. Serialization syntaxes 4. Values, types and languages 5. Groups 6. Naming graphs 7. RDF schemas 1 WEEK 2: The RDF Data Model 1. Describing resources 2. A triple model and a graph model 3. Serialization syntaxes 4. Values, types and languages 5. Groups 6. Naming graphs 7. RDF schemas 2 Original Proposal 3 Schema 4 A Web of Resources 5 Various Kinds of Links 6 Describing Resources on the Web communication HTTP web reference address URI 7 RDF: Basic Model RDF communication HTTP web of data reference address URI Semantic Web Stack of standards W3C® 8 Stack of standards Semantic Web Stack of standards W3C® 9 Stack of standards Semantic Web Stack of standards W3C® 10 Stack of standards Semantic Web Stack of standards W3C® 11 Stack of standards Semantic Web Stack of standards W3C® 12 Stack of standards Semantic Web Stack of standards W3C® 13 Stack of standards RDF communication HTTP web of data reference address URI Semantic Web Stack of standards W3C® 14 dc:creator ex:ingredient rdfs:label rdf:about ex:weight rdf:type Picture credits • Tim Berners-Lee's proposal, CERN, http://info.cern.ch/Proposal-fr.html • Semantic Web stack of standards, W3C® • Villars Noir 72, Tablette de Choc, 26/10/2014 http://www.tablettedechoc.com/2014/10/villars-noir-72.html 16 WEEK 2: the RDF Data Model 1.
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												  Powl – a Web Based Platform for Collaborative Semantic Web DevelopmentPowl – A Web Based Platform for Collaborative Semantic Web Development Sören Auer University of Leipzig [email protected] Abstract: We outline Powl, an opensource, web-based semantic web develop- ment platform for PHP. It may be used as a foundational framework for seman- tic web applications. Powl allows parsing, storing, querying, manipulating, ver- sioning, serving and serializing RDF-S and OWL knowledge bases in a collaborative web enabled environment. Detailed project information, a demon- stration and complete source code of Powl is available at http://powl.sf.net. 1 Introduction In this demonstration paper we give an overview on Powl, a web based ontology management tool. Its capabilities include parsing, storing, querying, manipulating, versioning, serving and serializing RDF and OWL knowledge bases for different target audiences. For the semantic web researcher it may provide a test bed for rapid implementations of new approaches. For the web application developer it offers an object-oriented application programming interface for semantic web software devel- opment. For knowledge engineers there is a sophisticated web interface for collabora- tive development of ontologies in a web enabled environment. Powl is implemented in the web scripting language PHP1. An implementation in a script language has serveral advantages. In addition to being platform independent, Powl is thus simple to modify and extend by researchers and semantic web develop- ers. The source code is compact and easy to grasp. This results in a short development time - Powl was developed in approximately 9 man-months so far. An advantage of PHP in particular is that it is by far the most widely used pro- gramming language for web applications.