Fulfilling the Hypermedia Constraint Via HTTP OPTIONS, the HTTP
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Learning from Multimedia and Hypermedia
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by DSpace at Open Universiteit Nederland Chapter 15 Learning from Multimedia and Hypermedia Peter Gerjets and Paul Kirschner Abstract Computer-based multimedia and hypermedia resources (e.g., the world wide web) have become one of the primary sources of academic information for a majority of pupils and students. In line with this expansion in the field of education, the scientific study of learning from multimedia and hypermedia has become a very active field of research. In this chapter we provide a short overview with regard to research on learning with multimedia and hypermedia. In two review sections, we describe the educational benefits of multiple representations and of learner control, as these are the two defining characteristics of hypermedia. In a third review section we describe recent scientific trends in the field of multimedia/hypermedia learning. In all three review sections we will point to relevant European work on multimedia/hypermedia carried out within the last 5 years, and often carried out within the Kaleidoscope Network of Excellence. According to the interdisciplinary nature of the field this work might come not only from psychology, but also from technology or pedagogy. Comparing the different research activities on multimedia and hypermedia that have dominated the international scientific discourse in the last decade reveals some important differences. Most important, a gap seems to exist between researchers mainly interested in a “serious” educational use of multi- media/hypermedia and researchers mainly interested in “serious” experimental re- search on learning with multimedia/hypermedia. -
Hypermedia Apis for Sensor Data: a Pragmatic Approach to the Web of Things
Hypermedia APIs for Sensor Data: A pragmatic approach to the Web of Things The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Russell, Spencer, and Joseph Paradiso. “Hypermedia APIs for Sensor Data: A Pragmatic Approach to the Web of Things.” Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (2014). As Published http://dx.doi.org/10.4108/icst.mobiquitous.2014.258072 Publisher European Union Digital Library/ICST Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/103763 Terms of Use Creative Commons Attribution-Noncommercial-Share Alike Detailed Terms http://creativecommons.org/licenses/by-nc-sa/4.0/ Hypermedia APIs for Sensor Data A pragmatic approach to the Web of Things Spencer Russell Joseph A. Paradiso [email protected] [email protected] Responsive Environments Group MIT Media Lab Massachusetts Institute of Technology Cambridge, MA, USA ABSTRACT dards and protocols such as AllJoyn1 and MQTT2, other As our world becomes more instrumented, sensors are ap- projects [20] seek to use existing application-level Web stan- pearing in our homes, cars, and on our bodies [12]. These dards such as HTTP to provide an interface that is more sensors are connected to a diverse set of systems and pro- familiar to developers, and also that can take advantage of tocols driven by cost, power, bandwidth, and more. De- tooling and infrastructure already in place for the World spite this heterogeneous infrastructure, we need to be able Wide Web. These efforts are often dubbed the Web of to build applications that use that data, and the most value Things, which reflects the relationships to existing Web stan- comes from integrating these disparate sources together. -
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. -
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. -
An Introduction to RDF
An 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. -
Extended Link Visualization with DHTML: the Web As an Open Hypermedia System
Extended Link Visualization with DHTML: The Web as an Open Hypermedia System Glenn Oberholzer and Erik Wilde Computer Engineering and Networks Laboratory Swiss Federal Institute of Technology, Z¨urich TIK Report 125 January 2002 Abstract The World Wide Web is by far the most successful hypermedia system, its name often being used synonymously for the Internet. However, it is based on a rather restricted hy- permedia model with limited linking functionality. Even though underlying systems may provide a richer data model, there is still the question of how to present this informa- tion in a Web-based interface in an easily understandable way. Assuming an underlying system similar to Topic Maps, which allows storing, managing, and categorizing meta data and links, we propose a presentation of extended links. We try to provide a usable way for users to handle the additional functionality. The mechanism is based on already available technologies like DHTML. It is one facet of our approach to make the Web more interconnected and to work towards a more richly and openly linked Web. Keywords: Electronic publishing (020), Graphic design (029), Hypermedia (036), Internet (045), World Wide Web (084), XLink, Linkbases, DHTML 1 Introduction Compared to many other hypermedia systems [24,11,16], the linking capabilities of the World Wide Web are rather limited. It only makes use of a few concepts of hypermedia. In recent years, however, new recommendations issued by the W3C like XML [3], XLink [10], and XPointer [9], or ISO/IEC’s Topic Maps [19] have tried to overcome this shortcoming. Due to the popularity of the Web, efforts have to be made to integrate and improve the current system with more sophisticated hypermedia concepts. -
RDF Data Model Towards a Global Knowledge Graph
Introduction 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. -
RDF—The Basis of the Semantic Web 3
CHAPTER RDF—The basis of the Semantic Web 3 CHAPTER OUTLINE Distributing Data across the Web ........................................................................................................... 28 Merging Data from Multiple Sources ...................................................................................................... 32 Namespaces, URIs, and Identity............................................................................................................. 33 Expressing URIs in print..........................................................................................................35 Standard namespaces .............................................................................................................37 Identifiers in the RDF Namespace........................................................................................................... 38 Higher-order Relationships .................................................................................................................... 42 Alternatives for Serialization ................................................................................................................. 44 N-Triples................................................................................................................................44 Turtle.....................................................................................................................................45 RDF/XML.............................................................................................................................................. -
Hypertext and Hypermedia Digital Multimedia, 2Nd Edition Nigel Chapman & Jenny Chapman Chapter 12
Hypertext and Hypermedia Digital Multimedia, 2nd edition Nigel Chapman & Jenny Chapman Chapter 12 This presentation © 2004, MacAvon Media Productions 12 384 Hypertext • Text augmented with links • Link: pointer to another piece of text in same or different document • Navigational metaphor • User follows a link from its source to its destination, usually by clicking on source with the mouse • Use browser to view and navigate hypertext © 2004, MacAvon Media Productions 12 385–386 Cursory History • Memex – V Bush, 1945 • Concept of linked documents; photo- mechanical realization never implemented • Xanadu – Ted Nelson, late 1960s/early 1970s • Intended as global system • Hypercard – Apple, 1987 • Shipped with every Mac; popularized concept • World Wide Web – 1992 © 2004, MacAvon Media Productions 12 386–388 Non-linearity • Hypertext not usually read linearly (from start to finish) • Links encourage branching off • History and back button permit backtracking • Not an innovation, but the immediacy of following links by clicking creates a different experience from traditional non-linearity (e.g. cross-references in encyclopedia) © 2004, MacAvon Media Productions 12 389 Links • Simple unidirectional links • Connect single point on one page with a point on another page (e.g. WWW) • Extended links • Regional links (ends may be regions within a page) • Bidirectional links (may be followed in both directions) • Multilinks (may have more than two ends) © 2004, MacAvon Media Productions 12 390–391 Browsing & Searching • Browsing – retrieve information -
Webvise: Browser and Proxy Support for Open Hypermedia Structuring Mechanisms on the WWW
Webvise: Browser and Proxy Support for Open Hypermedia Structuring Mechanisms on the WWW Kaj Grønbæk, Lennert Sloth, & Peter Ørbæk University of Aarhus Department of Computer Science, Åbogade 34, 8200 Århus N, Denmark. Email: {kgronbak, les, poe}@daimi.au.dk Abstract This paper discusses how to augment the WWW with an open hypermedia service (Webvise) that provides structures such as contexts, links, annotations, and guided tours stored in hypermedia databases external to the Web pages. This includes the ability for users collaboratively to create links from parts of HTML Web pages they do not own and support for creating links to parts of Web pages without writing HTML target tags. The method for locating parts of Web pages can locate parts of pages across frame hierarchies and it is also supports certain repairs of links that breaks due to modified Web pages. Support for providing links to/from parts of non-HTML data, such as sound and movie will be possible via interfaces to plug-ins and Java based media players. The hypermedia structures are stored in a hypermedia database, developed from the Devise Hypermedia framework, and the service is available on the Web via an ordinary URL. The best user interface for creating and manipulating the structures is currently provided for the Microsoft Internet Explorer 4.x browser through COM integration that utilize the Explorers DOM representation of Web-pages. But the structures can also be manipulated and used via special Java applets and a pure proxy server solution is provided for users who only need to browse the structures. -
Web 2.0: Hypertext by Any Other Name?
Web 2.0: Hypertext by Any Other Name? David E. Millard and Martin Ross Electronics and Computer Science University of Southampton Southampton, UK +44 (0) 23 8059 3255 {dem, mar302}@ecs.soton.ac.uk ABSTRACT be the inventor of hypertext, and ever since his original work Web 2.0 is the popular name of a new generation of Web others have been refining his approach, both in terms of what applications, sites and companies that emphasis openness, hypertext should offer, how it is interpreted by readers, and also community and interaction. Examples include technologies such in concrete systems and studies. as Blogs and Wikis, and sites such as Flickr. In this paper we Walker has noted that the new generation of Web applications compare these next generation tools to the aspirations of the has created a new form of feral hypertext, unrestrained by early Hypertext pioneers to see if their aims have finally been systems or ownership [22]. In this paper we analyse the field of realized. hypertext research in order to draw out the aspirations of its pioneers and their subsequent refinements by the community, we Categories and Subject Descriptors then compare these aspirations with a number of Web 2.0 H.5.4 [ Hypertext/Hypermedia ]: Theory systems in order to draw conclusions about how well those earlier ideas have been realised in the modern Web. General Terms Design, Theory 2. ASPIRATIONS In 1987, Halasz took the aspirations of the earlier pioneers and, based on the systems around at the time, described seven issues Keywords that had to be considered and resolved in order to progress Web 2.0, Hypertext Pioneers, Hypertext Functionality towards the systems envisioned; these included composite structures, versioning, collaboration and search [12].