XHTML with Rdfa As a Semantic Document Format for CCTS Modelled Documents and Its Application for Social Services
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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. -
XML a New Web Site Architecture
XML A New Web Site Architecture Jim Costello Derek Werthmuller Darshana Apte Center for Technology in Government University at Albany, SUNY 1535 Western Avenue Albany, NY 12203 Phone: (518) 442-3892 Fax: (518) 442-3886 E-mail: [email protected] http://www.ctg.albany.edu September 2002 © 2002 Center for Technology in Government The Center grants permission to reprint this document provided this cover page is included. Table of Contents XML: A New Web Site Architecture .......................................................................................................................... 1 A Better Way? ......................................................................................................................................................... 1 Defining the Problem.............................................................................................................................................. 1 Partial Solutions ...................................................................................................................................................... 2 Addressing the Root Problems .............................................................................................................................. 2 Figure 1. Sample XML file (all code simplified for example) ...................................................................... 4 Figure 2. Sample XSL File (all code simplified for example) ....................................................................... 6 Figure 3. Formatted Page Produced -
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. -
Ontologies and Semantic Web for the Internet of Things - a Survey
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/312113565 Ontologies and Semantic Web for the Internet of Things - a survey Conference Paper · October 2016 DOI: 10.1109/IECON.2016.7793744 CITATIONS READS 5 256 2 authors: Ioan Szilagyi Patrice Wira Université de Haute-Alsace Université de Haute-Alsace 10 PUBLICATIONS 17 CITATIONS 122 PUBLICATIONS 679 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: Physics of Solar Cells and Systems View project Artificial intelligence for renewable power generation and management: Application to wind and photovoltaic systems View project All content following this page was uploaded by Patrice Wira on 08 January 2018. The user has requested enhancement of the downloaded file. Ontologies and Semantic Web for the Internet of Things – A Survey Ioan Szilagyi, Patrice Wira MIPS Laboratory, University of Haute-Alsace, Mulhouse, France {ioan.szilagyi; patrice.wira}@uha.fr Abstract—The reality of Internet of Things (IoT), with its one of the most important task in an IoT system [6]. Providing growing number of devices and their diversity is challenging interoperability among the things is “one of the most current approaches and technologies for a smarter integration of fundamental requirements to support object addressing, their data, applications and services. While the Web is seen as a tracking and discovery as well as information representation, convenient platform for integrating things, the Semantic Web can storage, and exchange” [4]. further improve its capacity to understand things’ data and facilitate their interoperability. In this paper we present an There is consensus that Semantic Technologies is the overview of some of the Semantic Web technologies used in IoT appropriate tool to address the diversity of Things [4], [7]–[9]. -
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 -
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. -
OWL 2 Web Ontology Language Quick Reference Guide
OWL 2 Web Ontology Language Quick Reference W3C Proposed Recommendation 22 September Guide 2009 OWL 2 Web Ontology Language Quick Reference Guide W3C Proposed Recommendation 22 September 2009 This version: http://www.w3.org/TR/2009/PR-owl2-quick-reference-20090922/ Latest version: http://www.w3.org/TR/owl2-quick-reference/ Previous version: http://www.w3.org/TR/2009/WD-owl2-quick-reference-20090611/ (color-coded diff) Editors: Jie Bao, Rensselaer Polytechnic Institute Elisa F. Kendall, Sandpiper Software, Inc. Deborah L. McGuinness, Rensselaer Polytechnic Institute Peter F. Patel-Schneider, Bell Labs Research, Alcatel-Lucent Contributors: Li Ding, Rensselaer Polytechnic Institute Ankesh Khandelwal, Rensselaer Polytechnic Institute This document is also available in these non-normative formats: PDF version, Reference Card. Copyright © 2009 W3C® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply. Abstract The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents. Page 1 of 15 http://www.w3.org/TR/2009/PR-owl2-quick-reference-20090922/ OWL 2 Web Ontology Language Quick Reference W3C Proposed Recommendation 22 September Guide 2009 This document provides a non-normative quick reference guide to the OWL 2 language. -
Semantic Web
Semantic Web Ing. Federico Chesani Corso di Fondamenti di Intelligenza Artificiale M a.a. 2009/2010 7 Maggio 2010 Outline 1. Introduction a) The map of the Web (accordingly to Tim Berners-Lee) b) The current Web and its limits c) The Semantic Web idea d) Few examples of Semantic Web applications 2. Semantic Information (a bird’s eye view) a) Semantic Models b) Ontologies c) Few examples 3. Semantic Web Tools a) Unique identifiers -URI b) XML c) RDF and SPARQL d) OWL 4. Semantic Web: where are we? a) Problems against the success of SW proposal b) Critics against SW c) Few considerations d) Few links to start with The Web Map (by Berners-Lee) ©Tim Berners-Lee, http://www.w3.org/2007/09/map/main.jpg About the content Knowledge Representation Semantic Web Web The Web 1.0 … • Information represented by means of: – Natural language – Images, multimedia, graphic rendering/aspect • Human Users easily exploit all this means for: – Deducting facts from partial information – Creating mental asociations (between the facts and, e.g., the images) – They use different communication channels at the same time (contemporary use of many primitive senses) The Web 1.0 … • The content is published on the web with the principal aim of being “human-readable” – Standard HTML is focused on how to represent the content – There is no notion of what is represented – Few tags (e.g. <title>) provide an implicit semantics but … • … their content is not structured • … their use is not really standardized The Web 1.0 … We can identify the title by means of its representation (<h1>, <b>) … … what if tomorrow the designer changes the format of the web pages? <h1> <!-- inizio TITOLO --> <B> Finanziaria, il voto slitta a domani<br> Al Senato va in scena l'assurdo </B> <!-- fine TITOLO --> </h1> The Web 1.0 … • Web pages contain also links to other pages, but .. -
The Application of Semantic Web Technologies to Content Analysis in Sociology
THEAPPLICATIONOFSEMANTICWEBTECHNOLOGIESTO CONTENTANALYSISINSOCIOLOGY MASTER THESIS tabea tietz Matrikelnummer: 749153 Faculty of Economics and Social Science University of Potsdam Erstgutachter: Alexander Knoth, M.A. Zweitgutachter: Prof. Dr. rer. nat. Harald Sack Potsdam, August 2018 Tabea Tietz: The Application of Semantic Web Technologies to Content Analysis in Soci- ology, , © August 2018 ABSTRACT In sociology, texts are understood as social phenomena and provide means to an- alyze social reality. Throughout the years, a broad range of techniques evolved to perform such analysis, qualitative and quantitative approaches as well as com- pletely manual analyses and computer-assisted methods. The development of the World Wide Web and social media as well as technical developments like optical character recognition and automated speech recognition contributed to the enor- mous increase of text available for analysis. This also led sociologists to rely more on computer-assisted approaches for their text analysis and included statistical Natural Language Processing (NLP) techniques. A variety of techniques, tools and use cases developed, which lack an overall uniform way of standardizing these approaches. Furthermore, this problem is coupled with a lack of standards for reporting studies with regards to text analysis in sociology. Semantic Web and Linked Data provide a variety of standards to represent information and knowl- edge. Numerous applications make use of these standards, including possibilities to publish data and to perform Named Entity Linking, a specific branch of NLP. This thesis attempts to discuss the question to which extend the standards and tools provided by the Semantic Web and Linked Data community may support computer-assisted text analysis in sociology. First, these said tools and standards will be briefly introduced and then applied to the use case of constitutional texts of the Netherlands from 1884 to 2016. -
Semantic Description of Web Services
Semantic Description of Web Services Thabet Slimani CS Department, Taif University, P.O.Box 888, 21974, KSA Abstract syntaxes) and in terms of the paradigms proposed for The tasks of semantic web service (discovery, selection, employing these in practice. composition, and execution) are supposed to enable seamless interoperation between systems, whereby human intervention is This paper is dedicated to provide an overview of these kept at a minimum. In the field of Web service description approaches, expressing their classification in terms of research, the exploitation of descriptions of services through commonalities and differences. It provides an semantics is a better support for the life-cycle of Web services. understanding of the technical foundation on which they The large number of developed ontologies, languages of are built. These techniques are classified from a range of representations, and integrated frameworks supporting the research areas including Top-down, Bottom-up and Restful discovery, composition and invocation of services is a good Approaches. indicator that research in the field of Semantic Web Services (SWS) has been considerably active. We provide in this paper a This paper does also provide some grounding that could detailed classification of the approaches and solutions, indicating help the reader perform a more detailed analysis of the their core characteristics and objectives required and provide different approaches which relies on the required indicators for the interested reader to follow up further insights objectives. We provide a little detailed comparison and details about these solutions and related software. between some approaches because this would require Keywords: SWS, SWS description, top-down approaches, addressing them from the perspective of some tasks bottom-up approaches, RESTful services. -
D1.2.1 WSMO Grounding in SAWSDL
Project Number: 215219 Project Acronym: SOA4ALL Project Title: Service Oriented Architectures for All Instrument: Integrated Project Thematic Information and Communication Priority: Technologies D1.2.1 WSMO grounding in SAWSDL Activity N: 1 Fundamental and Integration Work Package: 1 Service Web Architecture Due Date: M6 Submission Date: 27/08/2008 Start Date of Project: 01/03/2006 Duration of Project: 36 Months Organisation Responsible of Deliverable: UIBK Revision: 1.0 Author(s): Jacek Kopecký, Adi Schütz UIBK Project co-funded by the European Commission within the Seventh Framework Programme (2007-2013) Dissemination Level PU Public X PP Restricted to other programme participants (including the Commission) RE Restricted to a group specified by the consortium (including the Commission) CO Confidential, only for members of the consortium (including the Commission) SOA4All –FP7 – 215219 – D1.2.1 WSMO grounding in SAWSDL Version History Version Date Comments, Changes, Status Authors, contributors, reviewers 0.1 2008/07/16 Initial version Jacek Kopecký 0.2 2008/07/24 Filling in more Jacek Kopecký, Adi Schütz 0.9 2008/07/25 A complete draft, ready for review Jacek Kopecký, Adi Schütz 0.95 2008/07/19 Review comments incorporated Elisabetta Di Nitto, Marin Dimitrov, Jacek Kopecký 1.0 2008/07/23 Version to be submitted Jacek Kopecký © SOA4ALL consortium Page 2 of 28 SOA4All –FP7 – 215219 – D1.2.1 WSMO grounding in SAWSDL Table of Contents EXECUTIVE SUMMARY ____________________________________________________ 5 1. INTRODUCTION ______________________________________________________ -
SLA Information Technology Division Metadata for Video: Too Much
3/1/2019 Metadata for Video: Too Much Content, Not Enough Information | SLA Information Technology Division Home About Us » Events » Sections » Enter search keyword SLA Information Technology Division Awards » Making Edgier Easier. We're IT! Current b/ITe (v31n5) » b/ITe Archives Virtual Events What’s New Categorized | Uncategorized Metadata for Video: Too Much Content, Not Enough Information Posted on 31 August 2012. by Wayne Pender, McGill University, 2012 Joe Ann Clifton Student Award Winner (Published September 1, 2012) Abstract Television news libraries have struggled with cataloguing, organizing and storing visual materials for efficient search and retrieval for years. This task has been complicated by the emergence of digital video and the exponential growth in the holdings of television news libraries. In parallel, the ability for non-professionals to shoot, edit and publish videos of increasing production value and complexity on the web has flooded the Internet with videos that appeal to a wide audience and subject interest. The present survey looks at the metadata protocols and practices in place for an internal audience in professional operations and on display for the general public on the Internet. The study finds that the lack of a common metadata schema can make much of the material inaccessible. Literature pertaining to this area is reviewed and future direction is discussed. http://it.sla1.org/2012/08/metadata/ 1/10 3/1/2019 Metadata for Video: Too Much Content, Not Enough Information | SLA Information Technology Division Keywords: metadata, video, XML, RDF, MXF, television, news, YouTube Paper Searching and retrieving visual content is problematic. The search for specific moving images on film and video has long been a task for television news professionals, but now with wide spread availability of video resources on the Internet it has become a task for anyone.